CN111640049A - Student data traceability-based information analysis system - Google Patents
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Abstract
The invention provides an information analysis system based on student data tracing, which comprises a human-computer interaction perception subsystem, a user behavior analysis subsystem, a local data tracing subsystem and a remote DSP (data Service provider) Service chain. Feedback operation data of the current student user on the information tracing result is obtained through a human-computer interaction perception subsystem, and the remote DSP service chain is enabled based on the feedback operation data; a plurality of user terminal devices of a remote DSP service chain receive the input and output data sensed by the human-computer interaction sensing subsystem, and display a plurality of information analysis results provided by the user terminal devices of the remote DSP service chain on a human-computer interaction interface of the information analysis system; updating the device weights of the plurality of user terminal devices in the remote DSP service chain based on a plurality of information analysis results provided by the plurality of user terminal devices.
Description
Technical Field
The invention belongs to the technical field of information analysis, and particularly relates to an information analysis system based on student data traceability.
Background
The online learning management system is a software system for supporting students to develop online learning activities, and is a core business system of the education industry all the time. The online education is an internet education thought taking learners as centers, providing high-quality services and contents, realizing online and offline intercommunication and online value-added service profit as cores, and is an important concept for leading the future development of online education in China.
The educational robot under the new generation artificial intelligence environment can directly serve students in middle and primary schools to study, flexibly start learning resources, record the learning process of learners, supervise the learning quality of learners and play a role in supporting deep personalized intelligent learning. In the era of artificial intelligence and education, the artificial intelligence technology is used as an organic component of future teacher work, and assists teachers to complete daily work through man-machine cooperation so as to realize efficient teaching.
The Chinese invention patent application with the application number of CN201911069927.X provides a teaching interaction method, a teaching interaction device, terminal equipment and a storage medium. The method comprises the following steps: when the terminal equipment plays teaching contents containing the virtual robot, a video comprising a teaching object is collected through a camera; identifying the video to obtain the attention information of a teaching object to the teaching content; determining a teaching mode aiming at a teaching object based on the attention information and the teaching content; and playing the teaching content in the teaching mode. According to the method and the device, the attention information of the teaching object to the teaching content is obtained, and the teaching content aiming at the teaching object is determined based on the attention information and the teaching content, so that the teaching effect is improved;
the Chinese patent application with the application number of CN201911024667.4 provides an intelligent learning platform and a construction method thereof, wherein the intelligent learning platform comprises a knowledge map module for storing a subject knowledge system; the data collection module is used for collecting online learning resources to form a data set; the data mining and semantic analysis module is used for mining and performing semantic analysis on the online learning resources of the data collection module based on the knowledge graph module, and associating the online learning resources with a subject knowledge system in the knowledge graph module to obtain associated resource information; and the data association prompting and presenting module is used for presenting the associated resource information when the user uses the data association prompting and presenting module. According to the intelligent learning platform, the artificial intelligence technology is utilized to carry out intelligent analysis and mining on massive online learning resources according to the established subject knowledge map, so that the association and intercommunication of the massive online learning resources are established and are simply and concisely presented to the user, the cognitive load of the user is reduced during learning, the pertinence and accuracy of learning are improved, and the purpose of strategy learning is achieved.
However, the inventor finds that although the existing partial online platform provides characteristic services such as personalized learning, learning path planning, real-time problem making situation reporting and student learning big data mining, the whole online education has the defects of prominent dissimilarity phenomenon, single platform function and the like while the market scale is rapidly expanded and the user scale is continuously increased; the related scheme in the prior art does not trace the source of the information records of the current student users, so that a teaching scheme more suitable for the current users cannot be made; in addition, as the user scale increases, the prior art solutions also have deficiencies in data processing capabilities.
Disclosure of Invention
In order to solve the technical problems, the invention provides an information analysis system based on student data tracing, which comprises a human-computer interaction perception subsystem, a user behavior analysis subsystem, a local data tracing subsystem and a remote DSP (data service provider) service chain. Feedback operation data of the current student user on the information tracing result is obtained through a human-computer interaction perception subsystem, and the remote DSP service chain is enabled based on the feedback operation data; a plurality of user terminal devices of a remote DSP service chain receive the input and output data sensed by the human-computer interaction sensing subsystem, and display a plurality of information analysis results provided by the user terminal devices of the remote DSP service chain on a human-computer interaction interface of the information analysis system; updating the device weights of the plurality of user terminal devices in the remote DSP service chain based on a plurality of information analysis results provided by the plurality of user terminal devices.
According to the technical scheme, the source tracing can be performed based on the information records of the current student users, accurate services can be continuously provided based on a remote DSP (data Service provider) Service chain under the condition that the requirements cannot be met, so that the calculation capability of a terminal with spare calculation capability at the far end can be fully utilized while personalized services are provided, and the problem of data processing lag caused by the rapid increase of data users is solved.
Specifically, the technical solutions of the present application are summarized as follows as a whole:
an information analysis system based on student data tracing comprises a human-computer interaction perception subsystem, a user behavior analysis subsystem, a local data tracing subsystem and a remote DSP (data Service provider) Service chain;
the human-computer interaction perception subsystem is used for perceiving input and output data generated by a current student user on the information analysis system through a human-computer interaction tool;
and the user behavior analysis subsystem analyzes the input and output data to obtain at least one user behavior analysis index.
As a first advantage of the present invention, the local tracing subsystem performs information tracing on the local terminal used by the current student user based on the at least one user behavior analysis indicator to obtain at least one information tracing result;
as a further advantage of the present invention, the remote DSP service chain comprises a plurality of other user terminal devices connected to the current student user via a social network; the plurality of user terminal devices have different device weights in the remote DSP service chain;
specifically, as a key technical means for embodying the above advantages, feedback operation data of the current student user on the information tracing result is obtained through the human-computer interaction perception subsystem, and the remote DSP service chain is enabled based on the feedback operation data;
a plurality of user terminal devices of the remote DSP service chain receive the input and output data sensed by the human-computer interaction sensing subsystem, and display a plurality of information analysis results provided by the user terminal devices of the remote DSP service chain on a human-computer interaction interface of the information analysis system;
updating the device weights of the plurality of user terminal devices in the remote DSP service chain based on a plurality of information analysis results provided by the plurality of user terminal devices.
More specifically, as another key technical means for embodying the inventive idea of the present invention,
obtaining feedback operation data of the current student user on the information tracing result through the human-computer interaction perception subsystem, and determining whether to activate the remote DSP service chain based on the feedback operation data, specifically comprising:
the feedback operation data comprises whether the current student user further executes the query operation;
and if so, sending the input and output data sensed by the human-computer interaction sensing subsystem and the query operation to the remote DSP service chain.
The remote DSP service chain includes other multiple user terminal devices connected to the current student user through a social network, and specifically includes:
the other user terminal devices are terminal devices with spare computing capacity;
the user terminal equipment contained in the remote DSP service chain is in a dynamic change state;
when the load of a user terminal device exceeds a predetermined threshold, the user terminal device is temporarily in an invisible state in the remote DSP service chain.
The method for the multiple user terminal devices to have different device weights in the remote DSP service chain specifically includes:
the device weight represents the closeness of the relationship between a certain user terminal device and another user terminal device;
if the remote DSP service chain comprises N user terminal devices, each user terminal device has (N-1) device weight values.
Updating the device weights of the plurality of user terminal devices in the remote DSP service chain based on a plurality of information analysis results provided by the plurality of user terminal devices, specifically including:
and increasing the device weight value of the user terminal device providing the information analysis result to the local terminal used by the current student user.
The feedback operation data comprises whether the current student user further executes the query operation;
if yes, sending the input and output data sensed by the human-computer interaction sensing subsystem and the query operation to the remote DSP service chain, further comprising:
and adding the local terminal used by the current student user into the remote DSP service chain.
Further advantages of the invention will be apparent in the detailed description section in conjunction with the drawings attached hereto.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a block diagram of an information analysis system based on student data traceability, in accordance with an embodiment of the present invention;
FIG. 2 is an exemplary embodiment of a user behavior analysis metric determined by the system of FIG. 1;
FIGS. 3-4 are detailed computing flow diagrams for performing information tracing to obtain at least one information tracing result using the system of FIGS. 1-2;
fig. 5 is a diagram illustrating that each terminal device in the remote DSP service chain in the system of fig. 1-2 has (N-1) device weight values.
Detailed Description
The invention is further described with reference to the following drawings and detailed description.
Fig. 1 is a block diagram of an information analysis system based on student data tracing according to an embodiment of the present invention.
The information analysis system in fig. 1 includes a human-computer interaction perception subsystem, a user behavior analysis subsystem, a local data tracing subsystem, and a remote dsp (data Service provider) Service chain.
The human-computer interaction perception subsystem is used for perceiving input and output data generated by current student users on the information analysis system through a human-computer interaction tool. And the user behavior analysis subsystem analyzes the input and output data to obtain at least one user behavior analysis index.
And the local tracing subsystem conducts information tracing on the local terminal used by the current student user based on the at least one user behavior analysis index to obtain at least one information tracing result.
In particular, on the basis of fig. 1, see fig. 2.
The user behavior analysis subsystem analyzes the input and output data to obtain at least one user behavior analysis index, and specifically comprises:
the input and output data comprise input and output data generated by a current student user on the used local terminal through a mouse, a keyboard, a touch screen, a video input and output device and/or an audio input and output device.
The at least one user behavior analysis index comprises one or a combination of the following:
data input by a user and page data output on a current page on the local terminal corresponding to the input data;
the time of data input by a user and the display time of page data output on a current page on the local terminal corresponding to the input data;
the time period for which the user stops inputting data, and the page data and the display time thereof output on the current page on the local terminal within the time period corresponding to the data input stop.
Fig. 3-4 are detailed calculation flowcharts illustrating the information tracing process performed by the system of fig. 1-2 to obtain at least one information tracing result.
Referring to fig. 3, the local tracing subsystem performs information tracing on the local terminal used by the current student user based on the at least one user behavior analysis indicator to obtain at least one information tracing result, and specifically includes:
based on data input by a user and page data output on a current page on the local terminal corresponding to the input data, searching a historical log corresponding to the data input by the user on the local terminal used by the current student user, analyzing the historical log, and obtaining output page data of the local terminal corresponding to the data input by the user in the historical log;
and displaying output page data of the local terminal corresponding to the data input by the user in the history log as the information tracing result on the human-computer interaction interface for display.
Referring to fig. 4, the local tracing subsystem performs information tracing on the local terminal used by the current student user based on the at least one user behavior analysis indicator to obtain at least one information tracing result, and specifically includes:
searching a historical log corresponding to the user input data on a local terminal used by the current student user based on the time of the user input data and the display time of the page data corresponding to the input data output on the current page on the local terminal, analyzing the historical log, and obtaining the historical input time of the data corresponding to the user input in the historical log;
based on the historical input time, searching historical page output data on the local terminal corresponding to the historical input time in the historical log;
and displaying the historical page output data as the information tracing result on the human-computer interaction interface for display.
In the embodiment shown in fig. 1 to 4, the local tracing subsystem performs information tracing on the local terminal used by the current student user based on the at least one user behavior analysis indicator to obtain at least one information tracing result, which specifically includes:
acquiring a time period when a user stops inputting data, page data output on a current page on the local terminal in the time period corresponding to the time period when the data input is stopped, and a display time period of the page data;
and if the time period for the user to stop inputting data or the display time period is larger than a preset value, directly prompting the current student user whether the remote DSP service chain needs to be enabled.
Obtaining feedback operation data of the current student user on the information tracing result through the human-computer interaction perception subsystem, and enabling the remote DSP service chain based on the feedback operation data, specifically comprising:
the feedback operation data comprises whether the current student user further executes the query operation;
and if so, sending the input and output data sensed by the human-computer interaction sensing subsystem and the query operation to the remote DSP service chain.
In this embodiment, the remote DSP service chain includes other multiple user terminal devices connected to the current student user through a social network, and specifically includes:
the other user terminal devices are terminal devices with spare computing capacity;
the user terminal equipment contained in the remote DSP service chain is in a dynamic change state;
when the load of a user terminal device exceeds a predetermined threshold, the user terminal device is temporarily in an invisible state in the remote DSP service chain.
Referring to fig. 5, the user terminal devices have different device weights in the remote DSP service chain, which specifically includes:
the device weight represents the closeness of the relationship between a certain user terminal device and another user terminal device;
if the remote DSP service chain comprises N user terminal devices, each user terminal device has (N-1) device weight values.
In fig. 5, four visible user terminal devices are included in the remote DSP service chain. Thus, each user terminal device has 3 device weight values.
The initial value of the device weight value may be set as required, for example, 0 to 10, and then updated with an actual situation, specifically, the updating of the device weight of the plurality of user terminal devices in the remote DSP service chain based on a plurality of information analysis results provided by the plurality of user terminal devices includes:
and increasing the device weight value of the user terminal device providing the information analysis result to the local terminal used by the current student user.
And due to an updating mechanism based on the weight value, the next data processing is quicker, and the result is more accurate.
The remote DSP service chain is also dynamically changed and is preferably updated, and the feedback operation data comprises whether the current student user further executes inquiry operation;
if yes, sending the input and output data sensed by the human-computer interaction sensing subsystem and the query operation to the remote DSP service chain, further comprising:
and adding the local terminal used by the current student user into the remote DSP service chain.
According to the technical scheme, the source tracing can be performed based on the information records of the current student users, accurate services can be continuously provided based on a remote DSP (data Service provider) Service chain under the condition that the requirements cannot be met, so that the calculation capability of a terminal with spare calculation capability at the far end can be fully utilized while personalized services are provided, and the problem of data processing lag caused by the rapid increase of data users is solved.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. An information analysis system based on student data tracing comprises a human-computer interaction perception subsystem, a user behavior analysis subsystem, a local data tracing subsystem and a remote DSP (data Service provider) Service chain;
the human-computer interaction perception subsystem is used for perceiving input and output data generated by a current student user on the information analysis system through a human-computer interaction tool;
the user behavior analysis subsystem analyzes the input and output data to obtain at least one user behavior analysis index;
the method is characterized in that:
the local tracing subsystem conducts information tracing on a local terminal used by the current student user based on the at least one user behavior analysis index to obtain at least one information tracing result;
the remote DSP service chain comprises other user terminal equipment which is connected with the current student user through a social network; the plurality of user terminal devices have different device weights in the remote DSP service chain;
feedback operation data of the current student user on the information tracing result is obtained through the human-computer interaction perception subsystem, and the remote DSP service chain is enabled based on the feedback operation data;
a plurality of user terminal devices of the remote DSP service chain receive the input and output data sensed by the human-computer interaction sensing subsystem, and display a plurality of information analysis results provided by the user terminal devices of the remote DSP service chain on a human-computer interaction interface of the information analysis system;
updating the device weights of the plurality of user terminal devices in the remote DSP service chain based on a plurality of information analysis results provided by the plurality of user terminal devices.
2. The student data traceability-based information analysis system of claim 1, wherein:
the user behavior analysis subsystem analyzes the input and output data to obtain at least one user behavior analysis index, and specifically comprises:
the input and output data comprise input and output data generated by a current student user on the used local terminal through a mouse, a keyboard, a touch screen, video input and output equipment and/or audio input and output equipment;
the at least one user behavior analysis index comprises one or a combination of the following:
data input by a user and page data output on a current page on the local terminal corresponding to the input data;
the time of data input by a user and the display time of page data output on a current page on the local terminal corresponding to the input data;
the time period for which the user stops inputting data, and the page data and the display time thereof output on the current page on the local terminal within the time period corresponding to the data input stop.
3. The student data traceability-based information analysis system of claim 2, wherein:
the local tracing subsystem performs information tracing on the local terminal used by the current student user based on the at least one user behavior analysis index to obtain at least one information tracing result, and the method specifically includes:
based on data input by a user and page data output on a current page on the local terminal corresponding to the input data, searching a historical log corresponding to the data input by the user on the local terminal used by the current student user, analyzing the historical log, and obtaining output page data of the local terminal corresponding to the data input by the user in the historical log;
and displaying output page data of the local terminal corresponding to the data input by the user in the history log as the information tracing result on the human-computer interaction interface for display.
4. The student data traceability-based information analysis system of claim 2, wherein:
the local tracing subsystem performs information tracing on the local terminal used by the current student user based on the at least one user behavior analysis index to obtain at least one information tracing result, and the method specifically includes:
searching a historical log corresponding to the user input data on a local terminal used by the current student user based on the time of the user input data and the display time of the page data corresponding to the input data output on the current page on the local terminal, analyzing the historical log, and obtaining the historical input time of the data corresponding to the user input in the historical log;
based on the historical input time, searching historical page output data on the local terminal corresponding to the historical input time in the historical log;
and displaying the historical page output data as the information tracing result on the human-computer interaction interface for display.
5. The student data traceability-based information analysis system of claim 2, wherein:
the local tracing subsystem performs information tracing on the local terminal used by the current student user based on the at least one user behavior analysis index to obtain at least one information tracing result, and the method specifically includes:
acquiring a time period when a user stops inputting data, page data output on a current page on the local terminal in the time period corresponding to the time period when the data input is stopped, and a display time period of the page data;
and if the time period for the user to stop inputting data or the display time period is larger than a preset value, directly prompting the current student user whether the remote DSP service chain needs to be enabled.
6. The student data traceability-based information analysis system of claim 2, wherein:
obtaining feedback operation data of the current student user on the information tracing result through the human-computer interaction perception subsystem, and enabling the remote DSP service chain based on the feedback operation data, specifically comprising:
the feedback operation data comprises whether the current student user further executes the query operation;
and if so, sending the input and output data sensed by the human-computer interaction sensing subsystem and the query operation to the remote DSP service chain.
7. An information analysis system based on student data traceability as claimed in claim 6 or 2, wherein:
the remote DSP service chain includes other multiple user terminal devices connected to the current student user through a social network, and specifically includes:
the other user terminal devices are terminal devices with spare computing capacity;
the user terminal equipment contained in the remote DSP service chain is in a dynamic change state;
when the load of a user terminal device exceeds a predetermined threshold, the user terminal device is temporarily in an invisible state in the remote DSP service chain.
8. The student data traceability-based information analysis system of claim 1, wherein:
the method for the multiple user terminal devices to have different device weights in the remote DSP service chain specifically includes:
the device weight represents the closeness of the relationship between a certain user terminal device and another user terminal device;
if the remote DSP service chain comprises N user terminal devices, each user terminal device has (N-1) device weight values.
9. An information analysis system based on student data traceability as claimed in claim 6 or 2 or 8, wherein:
updating the device weights of the plurality of user terminal devices in the remote DSP service chain based on a plurality of information analysis results provided by the plurality of user terminal devices, specifically including:
and increasing the device weight value of the user terminal device providing the information analysis result to the local terminal used by the current student user.
10. The student data traceability-based information analysis system of claim 6, wherein:
the feedback operation data comprises whether the current student user further executes the query operation;
if yes, sending the input and output data sensed by the human-computer interaction sensing subsystem and the query operation to the remote DSP service chain, further comprising:
and adding the local terminal used by the current student user into the remote DSP service chain.
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