CN112947809A

CN112947809A - Knowledge learning method and device and electronic equipment

Info

Publication number: CN112947809A
Application number: CN202110134588.XA
Authority: CN
Inventors: 魏靖; 张晗; 杨阳; 赵恒�; 柯宇; 付浩然; 杨寓钦; 吴颖娜; 徐驰; 郭庆; 丁勇; 权智; 牛瑞; 刘飞; 刘展欣; 闫方强
Original assignee: Beijing Sankuai Online Technology Co Ltd
Current assignee: Beijing Sankuai Online Technology Co Ltd
Priority date: 2021-01-29
Filing date: 2021-01-29
Publication date: 2021-06-11

Abstract

The application discloses a knowledge learning method, belongs to the technical field of computers, and is beneficial to improving knowledge learning effect. The method comprises the following steps: responding to the triggering of a knowledge learning entry, and displaying a first interface matched with an offline scene of knowledge to be learned, wherein at least one first task icon corresponding to a first preset knowledge type is displayed in the first interface; controlling at least one object image with a display state being a first state to enter a designated area in a first interface according to a preset first moving track; responding to the object image entering the designated area, and displaying a demand knowledge type label matched with the object image at a preset position of the object image; responding to the selection operation of a user on any one first task icon, and sequentially matching a first preset knowledge type corresponding to the first task icon selected by the selection operation with each required knowledge type label; and displaying related prompt content on the first interface according to the matching result.

Description

Knowledge learning method and device and electronic equipment

Technical Field

The embodiment of the application relates to the technical field of computers, in particular to a knowledge learning method, a knowledge learning device, electronic equipment and a computer readable storage medium.

Background

In order to improve the operation skills of an operator, or to input equipment operation skills or user service skills to a service person, in the prior art, a face-to-face teaching mode or a mode of reading teaching materials and watching teaching videos is generally adopted to conduct business training on the operator so as to teach operation knowledge related to each scene. In the prior art, the traditional face-to-face knowledge teaching method needs to consume a large amount of human resources to implement knowledge teaching operation, and the instruction teaching method for reading teaching materials and watching teaching videos easily makes learners feel boring, the learning effect needs to be improved, and the knowledge learning effect cannot be evaluated.

Disclosure of Invention

The embodiment of the application provides a knowledge learning method which is beneficial to improving the knowledge learning effect and can evaluate the knowledge learning effect according to the execution result of the output knowledge-related task.

In a first aspect, embodiments of the present application provide a knowledge learning method,

responding to the triggering of a knowledge learning entry, and displaying a first interface matched with an offline scene of knowledge to be learned, wherein at least one first task icon corresponding to a first preset knowledge type is displayed in the first interface;

controlling at least one object image with a display state of a first state to enter a designated area in the first interface according to a preset first movement track;

responding to the object image entering the designated area, and displaying a requirement knowledge type label matched with the object image at a preset position of the object image;

responding to the selection operation of a user on any one first task icon, and sequentially matching a first preset knowledge type corresponding to the first task icon selected by the selection operation with each required knowledge type label;

and in response to the matching result indicating that the matching is successful, displaying interface content indicating that the knowledge learning task is successfully executed on the first interface.

In a second aspect, embodiments of the present application provide a knowledge learning apparatus,

the system comprises a first interface display module, a second interface display module and a control module, wherein the first interface display module is used for responding to the triggering of a knowledge learning entrance and displaying a first interface matched with an offline scene of knowledge to be learned, and at least one first task icon corresponding to a first preset knowledge type is displayed in the first interface;

the object image movement control module is used for controlling at least one object image with a display state of a first state to enter a designated area in the first interface according to a preset first movement track;

the demand knowledge type label display module is used for responding to the object image entering the designated area and displaying a demand knowledge type label matched with the object image at a preset position of the object image;

the knowledge type matching module is used for responding to the selection operation of a user on any one first task icon, and sequentially matching a first preset knowledge type corresponding to the first task icon selected by the selection operation with each required knowledge type label;

and the learning task execution result output module is used for responding to the matching result to indicate that the matching is successful, and displaying interface content indicating that the knowledge learning task is successfully executed on the first interface.

In a third aspect, an embodiment of the present application further discloses an electronic device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the knowledge learning method according to the embodiment of the present application is implemented.

In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, performs the steps of the knowledge learning method disclosed in the embodiments of the present application.

The knowledge learning method disclosed by the embodiment of the application displays a first interface matched with an offline scene of knowledge to be learned by responding to the triggering of a knowledge learning entry, wherein at least one first task icon corresponding to a first preset knowledge type is displayed in the first interface; controlling at least one object image with a display state of a first state to enter a designated area in the first interface according to a preset first movement track; responding to the object image entering the designated area, and displaying a requirement knowledge type label matched with the object image at a preset position of the object image; responding to the selection operation of a user on any one first task icon, and sequentially matching a first preset knowledge type corresponding to the first task icon selected by the selection operation with each required knowledge type label; and displaying interface content indicating successful execution of the knowledge learning task on the first interface in response to the matching result indicating successful matching, so that the knowledge learning effect is improved.

The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.

Drawings

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

FIG. 1 is a flow chart of a knowledge learning method according to a first embodiment of the present application;

FIG. 2 is a schematic view of a first interface according to an embodiment of the present disclosure;

FIG. 3 is a second flowchart of a knowledge learning method according to a first embodiment of the present application;

FIG. 4 is a schematic view of a second interface according to an embodiment of the present application;

FIG. 5 is a schematic structural diagram of a knowledge learning apparatus according to a second embodiment of the present application;

FIG. 6 is a second schematic structural diagram of a knowledge learning apparatus according to a second embodiment of the present application;

FIG. 7 schematically shows a block diagram of an electronic device for performing a method according to the present application; and

fig. 8 schematically shows a storage unit for holding or carrying program code implementing a method according to the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

Example one

As shown in fig. 1, a knowledge learning method disclosed in an embodiment of the present application includes: step 110 to step 150.

Step 110, responding to the triggering of the knowledge learning entry, displaying a first interface matched with the offline scene of the knowledge to be learned.

At least one first task icon corresponding to a first preset knowledge type is displayed in the first interface.

The knowledge learning method described in the embodiment of the present application may be implemented by a web page technology (e.g., H5). And adopting a web page technology to construct a page and display an interface, responding to the interaction between a user and the interface through interface message processing logic, and storing process data and user account data in a local server and/or a remote server of a client running the page.

The knowledge learning method in the embodiment of the application can be applied to service skill training of foreground service personnel in online scenes of hotels, companies, hospitals and the like. Scenes and contents of offline interaction processes, service projects, service processes, interactive dialogs and the like with a user are expressed through an application interface and a human-computer interaction process interface executed by a computer program, so that the user (such as a foreground service person) of the application program learns service knowledge in an interaction mode with computing equipment.

The task learning entry is arranged at a client side of a platform access provider side or at the client side of the platform. A user can access the server through a task learning entrance arranged on a client, page data for displaying a human-computer interaction interface is pulled by the client, and user account related information is acquired. The client may be a web page or an application program.

The offline scenes described in the embodiments of the present application include, but are not limited to: a hotel foreground, a market service desk, and the like, which provide service for multiple people. Taking the offline scene as the hotel foreground as an example, the picture displayed by the first interface may be a schematic view of a hotel lobby.

The first preset knowledge type in the embodiment of the application is determined according to the matched offline scene according to the learning knowledge. For example, in a hotel reception scene, learning knowledge includes: the interaction tasks corresponding to the operation contents can be divided into different types according to the pertinence of the operation contents to be learned. For example, the knowledge to be learned corresponding to business operations closely matching with the customer's needs, such as check-in, check-out, check-in, reservation, etc., is defined as a first preset knowledge type, and the knowledge to be learned corresponding to business operations commonly used by members, etc., is defined as a second preset knowledge type.

In some embodiments of the present application, one or more task icons corresponding to a first preset knowledge type and one or more task icons corresponding to a second preset knowledge type will be displayed in the first interface, respectively. For example, in the first interface shown in fig. 1, an icon 210, an icon 220, an icon 230, an icon 240, and an icon 250 are displayed, where the icon 210, the icon 220, the icon 230, and the icon 240 respectively correspond to a first preset knowledge type, and the icon 250 corresponds to a second preset knowledge type.

And the content displayed on each icon is matched with the task corresponding to the icon. For example, icon 210 corresponds to check-in knowledge to be learned by the hotel front, icon 220 corresponds to reservation knowledge to be learned by the hotel front, icon 230 corresponds to stay knowledge to be learned by the hotel front, icon 240 corresponds to check-out knowledge to be learned by the hotel front, and icon 250 corresponds to membership card transacting knowledge to be learned by the hotel front.

In the embodiment of the application, when a certain icon is triggered, a task for learning corresponding knowledge is started, and a user completes the learning of the corresponding knowledge by executing the task.

And step 120, controlling at least one object image with the display state of the first state to enter a designated area in the first interface according to a preset first movement track.

The object image is a cartoon image of the knowledge-oriented object to be learned.

The knowledge learning method in the embodiment of the application is applied to a service skill learning scene facing multiple persons by one person, so that a plurality of object images are firstly built in a computer program, and the object images are used for referring to objects which receive services in an off-line scene, such as customers arriving at the front desk of a hotel.

In some embodiments of the present application, each of the object images is provided with a display state indicating a display effect and a moving direction of the object image. And after a first interface matched with the offline scene of the knowledge to be learned is displayed, selecting a preset object image into the first interface randomly or according to other algorithms. For an object image which is selected to enter a first interface currently, firstly, the display state of the object image is initialized to be a first state. The first state is used for indicating that the moving direction of the object image points to a designated area in the first interface.

In some embodiments of the present application, a state machine may be provided for each object image, and the movement and the transformation of the display effect of each object image are controlled by the state machine. For example, according to the state of the object image in the scene under the line, the state of each object image can be set as: the first state is a state of moving to a designated area in the first interface, the second state is a state of moving away from the designated area in the first interface, the third state is a queuing state, the fourth state is a gas state, the fifth state is a state of entering the designated area in the first interface, and the like. Further, each state may be subdivided into several sub-states. Correspondingly, each state and sub-state corresponds to an event for setting actions and triggering state switching. The event triggering state switching may be a timer timing event, or an event triggered by a user operation, for example, after the user executes a matching task on the object image located in the designated area, an event triggering the object image to switch from the fifth state to the second state is generated; and after the user does not execute the matched task on the object image positioned in the designated area for a long time, generating an event triggering the object image to be switched from the fifth state to the fourth state.

In this embodiment of the application, a plurality of first movement tracks that move into the designated area from positions other than the designated area in the first interface may be preset, and then, for each object image, one of the first movement tracks may be selected randomly or according to a preset track selection order as the movement track of the object image. Taking a hotel foreground scene as an example, a plurality of first moving tracks such as a first moving track of an object image entering a designated area from a hotel door, a first moving track entering the designated area from a stair, a first moving track entering the designated area from an elevator and the like can be preset, and then when a program judges that an object image needs to be selected to enter the designated area, after an object image is randomly selected, a first moving track is randomly selected at the same time to serve as a control data source for controlling the object image to move into the designated area.

In some embodiments of the present application, controlling to display at least one object image in a first state, and entering a designated area in the first interface according to a preset first movement track includes: in response to the object image being in a queuing state, timing a queuing duration of the object image; setting the attribute of the emotion value of the object image according to the result of timing the queuing time; and switching the expression of the object image according to the emotion value attribute of the object image. For example, when a certain object image is controlled to move to the designated area in the first interface according to a preset first movement track, the object image firstly enters the queuing area, and then continues to move to the designated area in the queuing area. When the object image enters the queuing area and moves to a position behind a certain object image, an event for switching from the first state to the third state can be triggered, and the state machine switches the state of the object image from the first state (namely the moving direction of the object image points to the designated area in the first interface) to the third state (namely the queuing state) according to the event. And when the object image enters a queuing state, starting to time the queuing time of the object image. And in the process that the object image enters a queuing state to the to-be-executed response task referred by the user to the object image, the timing operation is continuously carried out until the object leaves the queuing area or leaves the designated area.

Further, in order to promote the interaction line of the interface, the emotion value attribute of the corresponding object image may be set according to the arrangement time-length timing result of each object image, and the expression of the corresponding object image may be switched according to the emotion value attribute of the object image. For example, according to the queuing time, the emotion value of the object image may be set to 4 levels, which are 0 level, 1 level, 2 level, and 3 level, respectively. Initially at level 3, the expression of the corresponding object image is displayed as a red heart. When the object images begin to queue, the emotion value will continuously decrease, for example, every 10 seconds of the queuing time, the emotion value decreases by one step. When the object image queue time exceeds 40 seconds, the expression of the object image may be displayed as an angry expression.

In some embodiments of the present application, the queuing duration of an object image entering a queued state may be timed by setting a queuing management program module in the program code. The computer program will cache the queuing time for each object image.

Step 130, responding to the object image entering the designated area, and displaying a requirement knowledge type label matched with the object image at a preset position of the object image.

Wherein the requirement knowledge type label is used for indicating the requirement knowledge type of the object referred by the corresponding object image.

In the process of controlling the movement of the object image displayed in the first interface, a state machine may be used to obtain a real-time position of the object image in the first interface, match the obtained real-time position with the designated area in the first interface, and if it is determined that the real-time position is located in the designated area, trigger the state machine corresponding to the object image to perform state switching on the object image, for example, control the object image to be switched from a first state (i.e., a state of moving to the designated area in the first interface) to a fifth state (i.e., a state of entering the designated area in the first interface).

Further, after the state machine judges that the state of the object image is switched, corresponding preset actions are executed, and the required knowledge type label matched with the object image is displayed at the preset position of the object image. In some embodiments of the present application, the required knowledge type tag for object image matching may be randomly generated, or may be allocated to object images entering the designated area in sequence according to a preset algorithm. Taking a hotel foreground scene as an example, the demand knowledge type label of object image matching may be: a task type tag of check-in, check-out, check-in, reservation, and the like, as shown in fig. 2, when an object image 260 matching the requirement knowledge type tag as "check-in" enters a designated area, a prompt information tag 270 indicating "check-in" may be displayed at the top position of the object image 260 as the requirement knowledge type tag of the object image 260; when the object image 280 matching the requirement knowledge type tag as "reservation" enters a designated area, a prompt information tag 290 indicating "reservation" may be displayed at the top position of the object image 280 as the requirement knowledge type tag of the object image 280.

Step 140, responding to the selection operation of the user on any one of the first task icons, and sequentially matching the first preset knowledge type corresponding to the first task icon selected by the selection operation with each required knowledge type label.

In some embodiments of the present application, after the first task icon is displayed on the first interface, the touch operation of the user on the first interface is obtained in real time by executing a computer program, and after the touch operation of the user on the first interface is detected, the icon touched by the user is further determined according to the matching relationship between the touch position and the display position of each icon displayed in the first interface. For example, the first task icon selected by the user may be determined by matching the position of the touch operation on the first interface with the display position of each first task icon within the first interface.

As described above, each first task icon corresponds to a first preset knowledge type, and the knowledge type learned by the user selecting the object image facing the designated area of the first interface can be determined according to the first task icon selected by the user. For example, when it is detected that the user touches the first task icon 210 as shown in fig. 2, it may be confirmed that the user selects to learn the knowledge of the first preset knowledge type "check-in" facing the object image 260 or the object image 280 in the designated area, i.e., the user selects to perform the task of learning the knowledge of "check-in".

And then, sequentially matching a first preset knowledge type corresponding to the first task icon selected by the user with the required knowledge type indicated by the required knowledge type label of each object image in the specified area, and determining which object image required knowledge type in the specified area is matched with the task executed by the user.

In some embodiments of the application, the sequentially matching a first preset knowledge type corresponding to a first task icon selected by the selection operation with each required knowledge type tag includes: and sequentially matching the required knowledge type indicated by the required knowledge type label matched with each object image with the first preset knowledge type corresponding to the first task icon according to the sequence of the object images entering the designated area from long to short. For each object image in a designated area in the first interface, firstly matching the required knowledge type indicated by a required knowledge type label (such as a label 270) displayed at the top position of the object image (such as the object image 260) which firstly enters the designated area with a first preset knowledge type corresponding to a first task icon (such as the icon 210) selected by a user; then, the required knowledge type indicated by the required knowledge type label (e.g. label 290) displayed at the head position of the second object image (e.g. object image 260) entering the designated area is matched with the first preset knowledge type corresponding to the first task icon (e.g. icon 210) selected by the user. And repeating the steps until the required knowledge type indicated by the required knowledge type label displayed at the top position of a certain object image is successfully matched with the first preset knowledge type corresponding to the first task icon (such as the icon 210) selected by the user, or until all the object images displayed in the designated area are completely matched, and determining that the matching fails.

In some embodiments of the application, the queuing management program module may be configured to time the object images entering the designated area in the first interface to enter the designated area, so that the length sequence of the lengths of the object images entering the designated area is determined according to the length timing result.

And 150, in response to the matching result indicating that the matching is successful, displaying interface content indicating that the knowledge learning task is successfully executed on the first interface.

If the matching result in the foregoing steps is that the first preset knowledge type (e.g., corresponding to "check-in" type knowledge) corresponding to the first task icon (e.g., icon 210 shown in fig. 2) selected by the user is successfully matched with the required knowledge type (i.e., required knowledge type of the object indicated by the object image) indicated by the required knowledge type tag (e.g., tag 270 shown in fig. 2) of a certain object image (e.g., object image 260 shown in fig. 2), the user is considered to have successfully performed the "check-in" knowledge learning task, and then interface content indicating that the knowledge learning task has been successfully performed is displayed on the first interface.

The interface content described in the embodiments of the present application includes, but is not limited to: displaying prompting information, interface capacity updating, virtual resource distribution and the like.

In some embodiments of the present application, the displaying interface content indicating that the knowledge learning task was successfully performed on the first interface includes: issuing a first number of first electronic certificates to a first certificate account of the user, and acquiring a first electronic certificate sum of the first certificate account after the first number of first electronic certificates are issued; displaying the first electronic voucher sum update within the first interface. The first electronic voucher can be expressed as electronic vouchers in the forms of points, experience values, vouchers, coupons and the like, and can be used for online payment of a user on a specified electronic commerce platform, or used for the user to redeem food products through a physical product redemption entrance accessed in the first interface, and can also be used for upgrading scenes displayed in the first interface through a scene upgrading entrance arranged in the first interface.

The first quantity may be a fixed numerical value pre-configured in the computer program code, a randomly generated numerical value, or a dynamic numerical value generated according to the execution result of the current task. In some embodiments of the present application, the first number is determined according to an emotion value attribute of the object image. For example, with the first electronic certificate as a force, after the first preset knowledge type corresponding to the first task icon selected by the user is successfully matched with the required knowledge type of the object indicated by the object image 260, the first electronic certificate with the quantity matched with the current emotion value level is issued to the first certificate account of the user according to the emotion value attribute of the object image 260 at the time when the required knowledge type is successfully matched. For example, when the emotion value attribute of the object image 260 at the time when the matching of the requirement knowledge type is successful is level 3, 10 points are issued to the point account of the user; when the emotion value attribute of the object image 260 at the time when the matching of the requirement knowledge type is successful is level 2, 5 points are issued to the point account of the user; when the emotion value attribute of the object image 260 at the time when the matching of the requirement knowledge type is successful is level 1, 2 points are issued to the point account of the user; when the emotion value attribute of the object image 260 at the time when the matching of the requirement knowledge type is successful is level 0, 0 points are issued to the point account of the user.

In some embodiments of the present application, a first electronic certificate display area is further disposed in the first interface, and is configured to display a total sum of the first electronic certificates obtained by the current user. Before a user triggers and displays a first interface through a task learning entrance, the user needs to log in a preset server to finish account verification and can pull user account data and page data needed by a rendering program page. After the account verification is completed, the client may obtain, through the server, a first electronic credential sum of a first credential account (e.g., a credit account) of the current login user, and when a first interface matching an offline scenario of knowledge to be learned is displayed, the first electronic credential sum of the current login user is displayed in the first interface, such as 2901 in fig. 2. Then, after the user successfully faces an object indicated by an object image to execute a task matched with the requirement knowledge type of the object within a certain time, the user obtains a certain amount of first electronic certificates (such as points) as rewards, at this time, after the client determines the amount of the first electronic certificates sent to the current login user, a message indicating that the specified amount of the first electronic certificates are issued to the user account is sent to the server, and after the server receives the message, the specified amount of the first electronic certificates are issued to the user account carried in the message. And then, the client acquires the updated first electronic certificate sum in the first certificate account of the current login user through the server, and updates and displays the first electronic certificate sum displayed in the first interface through the updated first electronic certificate sum.

In some embodiments of the present application, the displaying, on the first interface, interface content indicating that the knowledge learning task is successfully performed further includes: setting the display state of the object image matched with the requirement knowledge type label, which is successfully matched with the first preset knowledge type corresponding to the first task icon selected by the selection operation, as a second state; and controlling the object image with the display state of the second state to leave the designated area according to a preset second moving track. For example, after the first preset knowledge type corresponding to the first task icon selected by the user is successfully matched with the required knowledge type of the object indicated by the object image 260, the display state of the object image 260 is set to the second state (i.e., the state of moving away from the designated area in the first interface). Then, the state machine performs a corresponding control action on the object image 260 according to the set state, for example, the object image 260 is controlled to leave the designated area according to a second preset movement track.

In some embodiments of the application, the second movement track may be a position outside the designated area in the first interface from the designated area, such as a position of a staircase, a doorway, or the like displayed in the first interface from the designated area.

In some embodiments of the present application, two counting modes for the client to issue the first electronic certificate are pre-configured in the computer program code, that is, the first electronic certificate counting mode and the second electronic certificate counting mode, and the first electronic certificate counting mode and the second electronic certificate counting mode are dynamically switched with the process of the user executing the task. The method comprises the following steps that a task execution progress display control is further displayed in the first interface, a first interface matched with an offline scene of knowledge to be learned is displayed in response to the triggering of a knowledge learning inlet, and the method further comprises the following steps: displaying a progress control indicating a progress of switching between a first electronic voucher counting mode and a second electronic voucher counting mode within the first interface. For example, when the client displays the first interface for the first time, a counting mode of issuing the first electronic certificate is initialized to a first electronic certificate counting mode. In some embodiments of the application, the switching progress between the first electronic certificate counting mode and the second electronic certificate counting mode may be indicated through a progress control in the prior art, such as a progress bar, a progress frame, and the like, and different progress controls may be selected for different switching processes, or different display effects may be set for the progress controls.

Correspondingly, in response to the matching result indicating that the matching is successful, after the first interface displays interface content indicating that the knowledge learning task is successfully executed, the method further includes: accumulating the progress values of the progress controls; setting the current electronic certificate counting mode as a second electronic certificate counting mode in response to the fact that the progress value obtained after accumulation indicates that the progress is full; and updating and displaying the progress control based on the progress value obtained after accumulation in response to the progress value obtained after accumulation indicating that the progress is not full. For example, the progress value of the progress control may be set to 10 levels, and 1 is added to the progress value every time the user successfully performs a task facing an object to which an object image refers. The progress value of the progress control can be further corresponding to the number of the first electronic certificates, when the user obtains 1 first electronic certificate, the progress value of the progress control is increased by 1 unit length, and the number of the unit lengths of the progress value of the progress control which is increased is in direct proportion to the number of the first electronic certificates obtained by the user. And after the progress value of the progress control is increased, further judging whether the progress in the progress control is full, and if the progress is full, setting the current electronic certificate counting mode as a second electronic certificate counting mode. Otherwise, updating the progress displayed in the progress control based on the increased progress value.

As described above, the progress control described in the embodiment of the present application is used to indicate the progress of switching between the first electronic certificate counting mode and the second electronic certificate counting mode. After switching to the second electronic credential counting mode, the progress of the progress control will gradually elapse as the client runtime progresses. Correspondingly, after the setting of the current electronic certificate counting mode to the second electronic certificate counting mode, the method further includes: timing a duration of switching from the second electronic certificate counting mode to the first electronic certificate counting mode; according to the timing result, the progress value of the progress control is decreased progressively; and setting the current electronic certificate counting mode as a first electronic certificate counting mode in response to the progress value obtained after the decrementing indicating that the progress is zero. In some embodiments of the present application, a correspondence between the progress lapse and the timing result may be set, for example, the progress value is decremented by 1 every 1 second for an increase in the timing time. And when the progress value is reduced to 0, timing is finished, and the client sets the current electronic certificate counting mode to be the first electronic certificate counting mode.

In some embodiments of the present application, a second task icon corresponding to a second preset knowledge type, such as icon 250 shown in fig. 2, is also displayed within the first interface.

After presenting the first interface matching the offline scene of the knowledge to be learned in response to the knowledge learning entry being triggered, the user may trigger any of the first task icon and the second task icon. Accordingly, as shown in fig. 3, the method further includes: step 160 to step 190.

In some embodiments of the application, interaction between the user and the client when the user executes the second preset knowledge type learning task is realized by popping up the second interface on the top layer of the first interface. Taking the second preset knowledge type learning task as an example of transacting the membership card, an interaction process executed by the user and the client in the second interface is illustrated.

Step 160, responding to the selection operation of the user on the second task icon, determining an object oriented to the second preset knowledge type learning task, and popping up a second interface for the user to execute the second preset knowledge type learning task on the determined object.

Wherein the object is the object referred by the object image which enters the designated area for the longest time.

In the embodiment of the present application, after it is determined that the user touches the second task icon in the first interface, first, according to a time length of the object image in the obtained specified area entering the specified area, the object image with the longest time length entering the specified area is determined (as shown in 280 in fig. 2), and an object indicated by the object image is taken as an object for the user to execute the second preset knowledge type learning task. Next, a program processing flow of executing a second preset knowledge type learning task toward the determined object is executed.

Step 170, constructing session data of the user and the object according to the determined requirement knowledge type matched with the object.

Wherein the session data comprises: the method comprises the steps of forming a display flow of a plurality of session interfaces of the current session, triggering events for switching the session interfaces, and session contents and/or operation prompt information displayed by each session interface.

After determining the object (e.g., the object indicated by the object image 280) oriented to perform the membership card task, the session data of the current user for the object whose requirement knowledge type is "check-in" is first constructed according to the requirement knowledge type of the object indicated by the object image 280, e.g., "check-in". In some embodiments of the application, the configuration data can be generated from the configuration information by pre-configuring an interactive interface and an interactive flow for executing a second preset knowledge type learning task, and is stored in the server, and when the client pulls the page data, the client pulls the configuration data to the local of the client for caching. The configuration data is generally data such as session content, a session interface display sequence, and a judgment processing flow of touch operation executed by a user on a session interface, which are constructed according to a business operation flow of an offline scene matched with a current task, data such as a dialect and the like. When constructing the session data of the current user to the object with the requirement knowledge type of 'check-in', the client side constructs the session data aiming at the current determined object and the user according to the locally cached configuration data. For example, in the constructed session data, the avatars of both the session are the user avatar and the object image 280; for another example, in the constructed session data, the session content includes "stay-in" related content and the like.

In some embodiments of the present application, session data may be stored through a tree structure, where each node of the tree structure is used to store content of a corresponding session interface, an event for starting the session interface to perform switching, and information such as switching logic of the session interface. The session data is used to describe each session interface that is sequentially displayed under different conditions when the user transacts the membership card to the object indicated by the object image 280, the session content displayed in each session interface, and information such as processing logic for acquiring the touch operation performed by the user on the second interface.

And step 180, displaying an initial session interface between the user and the object in the second interface according to the session data.

Thereafter, an initial session interface is first exposed based on the constructed session data. As shown in fig. 4, the two parties of the session in the session interface displayed in the second interface are the current login user and the object indicated by the object image determined in the previous step. The session content is the conversational text associated with the currently performed task (e.g., transacting a membership card).

Step 190, responding to the trigger operation of the currently displayed session interface, determining an event matched with the trigger operation, and executing session interface switching according to the display process node matched with the event matched with the trigger operation and the currently displayed session interface.

The user can switch the session content by performing touch operations such as clicking, sliding and the like on the second interface so as to execute a second preset knowledge type learning task.

For example, when the session interface is displayed in the second interface, the client side switches the session content according to the constructed session data and updates the session interface after detecting that the user clicks the second interface; when the second interface displays the session content prompting the user to select and send to the session object, after the client detects that the user clicks the second interface, the client determines the session content selected by the user according to the interface position clicked by the user, and executes the judgment logic in the constructed session data according to the session content selected by the user, wherein the session logic executed by the client comprises the following steps: and determining whether the selection operation of the user is correct, and determining the next displayed conversation interface.

In some embodiments of the present application, the triggering event includes an option selection event, and after determining that the triggering operation matches the event, the method further includes: responding to the event as an option selection event, and setting the execution result of the second preset knowledge type learning task executed by the user facing the object as successful when the option selected by the event is matched with the preset reference option of the currently displayed session interface; and setting the execution result of the second preset knowledge type learning task executed by the user facing the object to be failure in response to the event being an option selection event and the option selected by the event not being matched with the preset reference option of the currently displayed session interface. The preset reference options can be configured in configuration data, and are stored in nodes corresponding to the corresponding session interfaces when session data are constructed. For example, when the session interface displayed in the second interface prompts the user to select the session content sent by the object indicated by the object-oriented image 260, if the session content selected by the user matches with the preset reference option, the execution result of the membership card learning task executed by the object indicated by the object-oriented image 260 is set to be successful; otherwise, the execution result of the membership card learning task executed by the object indicated by the user object-oriented image 260 is set to fail.

In some embodiments of the application, after performing the session interface switching according to the display flow, the method further includes: responding to the last session interface switched to the display process, according to the execution result of the second preset knowledge type learning task executed by the user facing the object, issuing a second number of first electronic certificates to a first certificate account of the user, and acquiring the sum of the first electronic certificates of the first certificate account after the second number of first electronic certificates are issued; wherein the second number matches an execution result of executing the second preset knowledge type learning task; displaying the first electronic voucher sum update within the first interface. And after the client executes the session data according to the operation of the user and switches to the last session interface of the current session flow in the session data, the user can be considered to finish executing the second preset knowledge type learning task facing the current object. Next, the first electronic voucher is issued to the user based on the result of the execution of the learning task by the user performing the second predetermined knowledge type learning task (e.g., transacting a membership card) facing the current object (e.g., the object indicated by the object image 260).

In some embodiments of the present application, the second number may be a number specified in the configuration data, a fixed number configured in the program code of the client, a dynamically determined number according to the current execution state of the client, or a randomly generated number.

In some embodiments of the application, the issuing a second number of first electronic credentials to a first credential account of the user according to an execution result of the user performing the second preset knowledge type learning task facing the object includes: in response to the execution result that the user executes the second preset knowledge type learning task facing the object is successful, initializing a second quantity to be a first numerical value, otherwise, initializing the second quantity to be a second numerical value; wherein the first value is greater than the second value; in response to the current electronic credential counting mode being a first electronic credential counting mode, issuing a second number of first electronic credentials to a first credential account of the user; and in response to the fact that the current electronic certificate counting mode is the second electronic certificate counting mode, expanding the second number by a preset multiple, and issuing the second number first electronic certificate of the expanded preset multiple to the first certificate account of the user. Wherein the first and second values are either quantities specified in the configuration data or randomly generated quantity values.

For example, when the client is currently in the first electronic certificate counting mode, 2 points are issued to the point account of the user when the execution result of the second preset knowledge type learning task is that the execution fails, and 5 points are issued to the point account of the user when the execution result of the second preset knowledge type learning task is that the execution succeeds. Points may be double issued to the user's points account if the client is currently in the second electronic credential counting mode. Such as. And issuing 10 points to the point account of the user when the execution result of the second preset knowledge type learning task is execution failure, and issuing 25 points to the point account of the user when the execution result of the second preset knowledge type learning task is execution success.

For the specific implementation of the client issuing the second number of first electronic credentials to the user, refer to the foregoing steps, which are not described herein again.

And then, the client closes the second interface, acquires the first electronic certificate sum of the first certificate account of the current login user according to the method in the previous step, and updates the first electronic certificate sum displayed in the first interface based on the acquired first electronic certificate sum.

In some embodiments of the present application, before the presenting the first interface matched with the offline scene of the knowledge to be learned, the method further includes: and acquiring the quantity of second electronic certificates of the user, wherein the second electronic certificates are acquired after the user is indicated to successfully execute entity tasks corresponding to the first preset knowledge type or the second preset knowledge type. The second electronic certificate may appear as: gold coins, empirical values, integrals, etc. The displaying of the first interface matched with the offline scene of the knowledge to be learned further comprises: and displaying the number of the second electronic certificates obtained by the user in the first interface. The number of the second electronic certificates of the user can be transmitted to the client through a calling parameter of the client when the user triggers the task learning entry, or can be acquired through the server calling a data acquisition interface accessed to the hotel management system based on the login information of the user.

For example, after the user (e.g., a front desk attendant) transacts services such as check-in, check-out, reservation, check-in, membership card, etc. for a customer at a hotel, the hotel management system issues a certain amount of second electronic certificates for the user, and stores the second electronic certificates obtained by the user in an account of the user at the hotel management system. When the user accesses the task learning service through the task learning entry set on the hotel management system, the hotel management system may transmit the number of the second electronic certificates obtained by the user as a parameter for accessing the task learning service to the server corresponding to the task learning client, and then the client obtains the number of the second electronic certificates of the user from the server and displays the number in the first interface, such as 2902 shown in fig. 2.

In some embodiments of the present application, the number of the first electronic certificates and the number of the second electronic certificates obtained by the user are displayed in the first interface; the first electronic certificate and the second electronic certificate are used for exchanging physical products or upgrading the first interface. For example, a physical product exchange entry may be set on the first interface, a preset e-commerce platform is accessed through the physical product exchange entry, or a transition is made to a physical product exchange interface. The physical product can be: toys, daily necessities and the like. For another example, an upgrade button may be set on the first interface, and after the user triggers the upgrade button, the user may consume a certain amount of data, jump to the first electronic certificate or the second electronic certificate, and may upgrade a task execution scenario, for example, upgrade a hotel lobby displayed in the first interface, or upgrade client running data such as an object image entering the hotel lobby.

The knowledge learning method disclosed by the embodiment of the application displays the service knowledge in the life scene to the user needing to learn the service knowledge in a mode of simulating an offline scene by a computer program, constructs a man-machine interaction task for the learning process of each kind of knowledge by the computer program, automatically judges whether the user learns the corresponding knowledge or not by the execution result of the task, and enhances man-machine interaction by displaying the knowledge learning result in an interface, thereby being beneficial to promoting the interest of the user in learning the knowledge. On the other hand, after the user successfully executes the task created according to the knowledge to be learned, the user can obtain corresponding electronic certificates, such as points, and the user can exchange physical products, so that the enthusiasm of the user in learning the knowledge can be further improved. And the knowledge learning effect of the user can be intuitively evaluated according to the quantity of the electronic certificates acquired by the user.

Example two

A knowledge learning apparatus disclosed in an embodiment of the present application, as shown in fig. 5, the apparatus includes:

a first interface display module 510, configured to, in response to a knowledge learning entry being triggered, display a first interface matched with an offline scene of knowledge to be learned, where at least one first task icon corresponding to a first preset knowledge type is displayed in the first interface;

an object image movement control module 520, configured to control at least one object image in a first state to be displayed and enter a designated area in the first interface according to a preset first movement trajectory;

a requirement knowledge type tag display module 530, configured to display a requirement knowledge type tag matching the object image at a preset position of the object image in response to the object image entering the specified area;

a knowledge type matching module 540, configured to respond to a selection operation of a user on any one of the first task icons, sequentially match a first preset knowledge type corresponding to the first task icon selected by the selection operation with each required knowledge type tag;

and a learning task execution result output module 550, configured to display, in response to the matching result indicating that the matching is successful, interface content indicating that the knowledge learning task is successfully executed on the first interface.

In some embodiments of the present application, the first interface display module 510 is further configured to:

issuing a first number of first electronic certificates to a first certificate account of the user, and acquiring a first electronic certificate sum of the first certificate account after the first number of first electronic certificates are issued;

displaying the first electronic voucher sum update within the first interface.

In some embodiments of the present application, the object image movement control module 520 is further configured to:

in response to the object image being in a queuing state, timing a queuing duration of the object image;

setting the attribute of the emotion value of the object image according to the result of timing the queuing time;

and switching the expression of the object image according to the emotion value attribute of the object image.

In some embodiments of the present application, the first number is determined according to an emotion value attribute of the object image.

In some embodiments of the present application, the learning task execution result output module 550 is further configured to:

setting the display state of the object image matched with the requirement knowledge type label, which is successfully matched with the first preset knowledge type corresponding to the first task icon selected by the selection operation, as a second state;

and controlling the object image with the display state of the second state to leave the designated area according to a preset second moving track.

In some embodiments of the present application, the knowledge type matching module 540 is further configured to:

and sequentially matching the required knowledge type indicated by the required knowledge type label matched with each object image with the first preset knowledge type corresponding to the first task icon according to the sequence of the object images entering the designated area from long to short.

In some embodiments of the present application, a second task icon corresponding to a second preset knowledge type is further displayed in the first interface, as shown in fig. 6, and the apparatus further includes:

a second interface display module 560, configured to determine, in response to a selection operation of the second task icon by a user, an object facing the second preset knowledge type learning task, and pop up a second interface for the user to execute the second preset knowledge type learning task on the determined object, where the object is an object indicated by the object image that has the longest duration of entering the specified area;

the session data construction module 570 is used for constructing session data of the user and the object according to the determined requirement knowledge type matched with the object; wherein the session data comprises: the method comprises the steps of forming a display flow of a plurality of session interfaces of a current session, triggering events for switching the session interfaces, and session contents and/or operation prompt information displayed by each session interface;

an initial session interface display module 580, configured to display an initial session interface between the user and the object in the second interface according to the session data;

the session interface switching module 590 is configured to determine, in response to a trigger operation on a currently displayed session interface, an event matching the trigger operation, and execute session interface switching according to a display flow according to the event matching the trigger operation and a display flow node matching the currently displayed session interface.

In some embodiments of the present application, the trigger event includes an option selection event, and as shown in fig. 6, after determining that the trigger operation matches the event, the apparatus further includes:

a learning task execution result determining module 5901, configured to respond to that the event is an option selection event, and the option selected by the event is matched with a preset reference option of a currently displayed session interface, and set an execution result of the user executing the second preset knowledge type learning task facing the object as successful;

the learning task execution result determining module 5901 is further configured to set, in response to that the event is an option selection event and the option selected by the event does not match with a preset reference option of the currently displayed session interface, the execution result of the user performing the second preset knowledge type learning task facing the object as a failure;

after the session interface is switched according to the display flow,

the learning task execution result output module 550 is further configured to, in response to switching to the last session interface of the display process, issue a second number of first electronic credentials to the first credential account of the user according to the execution result of the user facing the object to execute the second preset knowledge type learning task, and obtain a first electronic credential sum of the first credential account after the second number of first electronic credentials are issued; and displaying the first electronic voucher sum update in the first interface.

In some embodiments of the application, the issuing a second number of first electronic credentials to a first credential account of the user according to an execution result of the user performing the second preset knowledge type learning task facing the object includes:

in response to the execution result that the user executes the second preset knowledge type learning task facing the object is successful, initializing a second quantity to be a first numerical value, otherwise, initializing the second quantity to be a second numerical value; wherein the first value is greater than the second value;

in response to the current electronic credential counting mode being a first electronic credential counting mode, issuing a second number of first electronic credentials to a first credential account of the user;

and in response to the fact that the current electronic certificate counting mode is the second electronic certificate counting mode, expanding the second number by a preset multiple, and issuing the second number first electronic certificate of the expanded preset multiple to the first certificate account of the user.

displaying a progress control indicating a switching progress between a first electronic certificate counting mode and a second electronic certificate counting mode within the first interface;

in response to the matching result indicating that the matching is successful, after the first interface displays interface content indicating that the knowledge learning task was successfully performed, the first interface display module 510 is further configured to:

accumulating the progress values of the progress controls;

setting the current electronic certificate counting mode as a second electronic certificate counting mode in response to the fact that the progress value obtained after accumulation indicates that the progress is full;

and updating and displaying the progress control based on the progress value obtained after accumulation in response to the progress value obtained after accumulation indicating that the progress is not full.

In some embodiments of the application, after the current electronic certificate counting mode is set to the second electronic certificate counting mode, the first interface display module 510 is further configured to:

timing a duration of switching from the second electronic certificate counting mode to the first electronic certificate counting mode;

according to the timing result, the progress value of the progress control is decreased progressively;

and setting the current electronic certificate counting mode as a first electronic certificate counting mode in response to the progress value obtained after the decrementing indicating that the progress is zero.

In some embodiments of the present application, the apparatus further comprises:

a second electronic certificate obtaining module (not shown in the figure) configured to obtain a number of second electronic certificates of the user before displaying a first interface matched with an offline scene of knowledge to be learned, where the second electronic certificates are obtained after indicating that the user successfully executes an entity task corresponding to the first preset knowledge type or the second preset knowledge type;

the first interface display module 510 is further configured to:

and displaying the number of the second electronic certificates obtained by the user in the first interface.

In some embodiments of the present application, the number of the first electronic certificates and the number of the second electronic certificates obtained by the user are displayed in the first interface; the first electronic certificate and the second electronic certificate are used for exchanging physical products or upgrading the first interface.

The knowledge learning device disclosed in the embodiment of the present application is used for implementing the knowledge learning method described in the first embodiment of the present application, and specific implementation manners of each module of the device are not described again, and reference may be made to specific implementation manners of corresponding steps in method embodiments.

The knowledge learning device disclosed in the embodiment of the application displays a first interface matched with an offline scene of knowledge to be learned by responding to the triggering of a knowledge learning entry, wherein at least one first task icon corresponding to a first preset knowledge type is displayed in the first interface; controlling at least one object image with a display state of a first state to enter a designated area in the first interface according to a preset first movement track; responding to the object image entering the designated area, and displaying a requirement knowledge type label matched with the object image at a preset position of the object image; responding to the selection operation of a user on any one first task icon, and sequentially matching a first preset knowledge type corresponding to the first task icon selected by the selection operation with each required knowledge type label; and displaying interface content indicating successful execution of the knowledge learning task on the first interface in response to the matching result indicating successful matching, so that the knowledge learning effect is improved.

The knowledge learning device disclosed by the embodiment of the application simulates an offline scene mode through business knowledge in a life scene, and shows the business knowledge to a user needing to learn the business knowledge, constructs a human-computer interaction task for the learning process of each kind of knowledge through a computer program, automatically judges whether the user learns the corresponding knowledge through the execution result of the task, and displays the knowledge learning result in an interface, enhances the human-computer interaction, and is favorable for promoting the interest of the user in learning the knowledge. On the other hand, after the user successfully executes the task created according to the knowledge to be learned, the user can obtain corresponding electronic certificates, such as points, and the user can exchange physical products, so that the enthusiasm of the user in learning the knowledge can be further improved. And the knowledge learning effect of the user can be intuitively evaluated according to the quantity of the electronic certificates acquired by the user.

The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.

The above detailed description is provided for a knowledge learning method and apparatus, and the principle and implementation of the present application are described herein by applying specific examples, and the description of the above examples is only used to help understanding the method and one core idea of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

The various component embodiments of the present application may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components in an electronic device according to embodiments of the present application. The present application may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present application may be stored on a computer readable medium or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.

For example, fig. 7 shows an electronic device that may implement a method according to the present application. The electronic device can be a PC, a mobile terminal, a personal digital assistant, a tablet computer and the like. The electronic device conventionally comprises a processor 710 and a memory 720 and program code 730 stored on said memory 720 and executable on the processor 710, said processor 710 implementing the method described in the above embodiments when executing said program code 730. The memory 720 may be a computer program product or a computer readable medium. The memory 720 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. The memory 720 has a storage space 7201 for program code 730 of a computer program for performing any of the method steps of the above-described method. For example, the storage space 7201 for the program code 730 may include respective computer programs for implementing the various steps in the above methods, respectively. The program code 730 is computer readable code. The computer programs may be read from or written to one or more computer program products. These computer program products comprise a program code carrier such as a hard disk, a Compact Disc (CD), a memory card or a floppy disk. The computer program comprises computer readable code which, when run on an electronic device, causes the electronic device to perform the method according to the above embodiments.

The embodiment of the present application also discloses a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the knowledge learning method according to the first embodiment of the present application.

Such a computer program product may be a computer-readable storage medium that may have memory segments, memory spaces, etc. arranged similarly to memory 720 in the electronic device shown in fig. 7. The program code may be stored in a computer readable storage medium, for example, compressed in a suitable form. The computer readable storage medium is typically a portable or fixed storage unit as described with reference to fig. 8. Typically, the storage unit comprises computer readable code 730 ', said computer readable code 730' being code read by a processor, which when executed by the processor implements the steps of the method described above.

Reference herein to "one embodiment," "an embodiment," or "one or more embodiments" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Moreover, it is noted that instances of the word "in one embodiment" are not necessarily all referring to the same embodiment.

In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the application may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.

In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The application may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims

1. A method of knowledge learning, comprising:

2. The method of claim 1, wherein the step of displaying interface content on the first interface indicating successful execution of a knowledge learning task comprises:

displaying the first electronic voucher sum update within the first interface.

3. The method according to claim 2, wherein the step of controlling the display of the at least one object image in the first state to enter the designated area in the first interface according to the preset first movement track comprises:

4. The method of claim 3, wherein the first number is determined based on an emotion value attribute of the object image.

5. The method of any of claims 1 to 4, wherein the step of displaying interface content on the first interface indicating successful execution of a knowledge learning task comprises:

6. The method according to any one of claims 1 to 4, wherein the sequentially matching the first preset knowledge type corresponding to the first task icon selected by the selection operation with each of the required knowledge type tags includes:

7. The method of any of claims 1 to 4, wherein a second task icon corresponding to a second preset knowledge type is further displayed within the first interface, the method further comprising:

responding to the selection operation of the user on the second task icon, determining an object oriented to the second preset knowledge type learning task, and popping up a second interface for the user to execute the second preset knowledge type learning task on the determined object, wherein the object is the object which is referred to by the object image with the longest time length entering the specified area;

constructing session data of the user and the object according to the determined requirement knowledge type matched with the object; wherein the session data comprises: the method comprises the steps of forming a display flow of a plurality of session interfaces of a current session, triggering events for switching the session interfaces, and session contents and/or operation prompt information displayed by each session interface;

displaying an initial session interface of the user and the object in the second interface according to the session data;

and responding to the triggering operation of the currently displayed session interface, determining the event matched with the triggering operation, and executing session interface switching according to the display flow according to the event matched with the triggering operation and the display flow node matched with the currently displayed session interface.

8. The method of claim 7, wherein the triggering event comprises an option selection event, and wherein the step of determining the event that the triggering action matches further comprises:

responding to the event as an option selection event, and setting the execution result of the second preset knowledge type learning task executed by the user facing the object as successful when the option selected by the event is matched with the preset reference option of the currently displayed session interface;

setting the execution result of the second preset knowledge type learning task executed by the user facing the object as failure in response to the event being an option selection event and the option selected by the event not matching with the preset reference option of the currently displayed session interface;

after the step of executing the session interface switching according to the display flow, the method further comprises the following steps:

responding to the last session interface switched to the display process, according to the execution result of the second preset knowledge type learning task executed by the user facing the object, issuing a second number of first electronic certificates to a first certificate account of the user, and acquiring the sum of the first electronic certificates of the first certificate account after the second number of first electronic certificates are issued;

displaying the first electronic voucher sum update within the first interface.

9. The method of claim 8, wherein the step of issuing a second number of first electronic credentials to a first credential account of the user based on results of the user performing the second predetermined knowledge type learning task towards the object comprises:

10. The method of claim 7, wherein the step of presenting a first interface matching an offline scene of knowledge to be learned in response to a knowledge learning portal being triggered further comprises:

in response to the matching result indicating that the matching is successful, after the step of displaying interface content indicating that the knowledge learning task is successfully performed on the first interface, further comprising:

accumulating the progress values of the progress controls;

11. The method according to claim 10, wherein the step of setting the current electronic certificate counting mode to the second electronic certificate counting mode is followed by further comprising:

12. The method of any of claims 1 to 4, wherein the step of presenting the first interface matching an offline scene of knowledge to be learned is preceded by:

acquiring the quantity of second electronic certificates of the user, wherein the second electronic certificates are acquired after the user is indicated to successfully execute entity tasks corresponding to the first preset knowledge type or the second preset knowledge type;

the step of displaying the first interface matched with the offline scene of the knowledge to be learned further comprises:

13. The method according to any one of claims 1 to 4, wherein the number of first electronic certificates and the number of second electronic certificates obtained by the user are displayed in the first interface; the first electronic certificate and the second electronic certificate are used for exchanging physical products or upgrading the first interface.

14. A knowledge learning device is characterized in that,

15. An electronic device comprising a memory, a processor, and program code stored on the memory and executable on the processor, wherein the processor implements the knowledge learning method of any one of claims 1 to 13 when executing the program code.

16. A computer-readable storage medium, on which a program code is stored, characterized in that the program code realizes the steps of the knowledge learning method of any one of claims 1 to 13 when executed by a processor.