WO2016015466A1

WO2016015466A1 - User behavior analysis-based information interaction method and system for programming teaching

Info

Publication number: WO2016015466A1
Application number: PCT/CN2015/073354
Authority: WO
Inventors: 俞昊然
Original assignee: 北京矩道优达网络科技有限公司
Priority date: 2014-07-28
Filing date: 2015-02-27
Publication date: 2016-02-04
Also published as: CN104239032A; CN104239032B

Abstract

Disclosed are a user behavior analysis-based information interaction method and system for programming teaching. The method comprises: providing initialized guide information to a user to guide the user to start input; monitoring an input behavior of the user, and when the input behavior of the user is stopped, performing extraction and matching to determine whether content input by the user meets a predicted input requirement; if the content input by the user does not satisfy the requirement, prompting the user that the input content has an error or providing a further guide prompt until the user corrects the input content; and when the user satisfies all input requirements according to the guide steps, determining that the user finishes the course. The system comprises a program development environment subsystem, an initialization guide subsystem, a feedback guide subsystem, an input monitoring subsystem, an information analysis subsystem, a form verification subsystem, and an error analysis subsystem. The present invention provides a user with an information interaction and learning platform that has high efficiency, interactivity and interestingness, and can effectively transmit knowledge points to the learning user.

Description

Information interaction method and system based on user behavior analysis for programming teaching

Technical field

The invention relates to the technical field of large-scale online education, computer education and program analysis and program verification, and particularly relates to a method and system for information interaction based on user behavior analysis for programming teaching.

Background technique

With the rapid spread of the Internet, people's thirst for education has reached an unprecedented intensity. Teaching and learning can no longer be restricted by time, space and location conditions, and the channels of knowledge acquisition are more flexible and diverse. The existing forms of offline education are limited by the venue, resources and other factors, and can no longer meet the needs of the market; the Internet-based video-related mode of education forms to compensate for the large-scale education demand gap, but also lacks participation. And interactivity, it is difficult to ensure the quality of teaching. In particular, it focuses on the learning process of a class of skills that require high practicality. The traditional teaching method exposes the problem of low information acceptance rate and theory far more than practice in the learning process. Therefore, it is particularly urgent to design a feedback-based educational method and system that is highly participatory and provides a real-time interactive learning method by collecting relevant behavioral data for the specific skill area of programming.

The corresponding guidance for different programming courses is given, so that students can follow the guidance, input programs, and based on the technology of the relatively mature programming language analysis, the student's programming learning situation can be monitored and feedback in real time. In this system, the passive acceptance process becomes a process of active exploration and practice by the students. The entire teaching process can completely eliminate the need for more people to participate in the given learning guidance. At the same time, this process is not Limited by the number of participants, because for each individual, one person and many people participate in this process, the experience of teaching experience is consistent. This method and system enhances participation and enhances students' acceptance of knowledge and absorption.

Summary of the invention

The object of the present invention is to realize an information interaction method and system based on user behavior analysis for programming teaching, and enhance interaction according to user input content and real-time feedback mechanism, and provide a program for programming enthusiasts and computer related fields. An efficient and fun information exchange and learning platform.

The object of the invention is achieved by the following technical solutions:

An information interaction method based on user behavior analysis for programming teaching, the steps of which include:

1) providing the user with initialization boot information and guiding the user to start input;

2) Listening to the user's input behavior, taking different processing methods according to the user's input state and input result, if there is input behavior, continue to listen until the user stops inputting behavior;

3) When the user input behavior stops, start to analyze the content input by the user, and extract and match whether the content input by the user meets the expected input requirement;

4) If the matching result does not meet the requirements, the user is prompted to input the content incorrectly or provide further guidance prompts until the user corrects the input content to make it meet the requirements;

5) Repeat the above steps. When the user completes all the input requirements according to the guiding steps, it can be regarded as completing the course, and the system will guide to the next learning content.

Further, in step 1), the initialized guiding information includes: information for being read by the user, prompt information for informing the user of the required input content, prompt information for notifying the user of the error-prone point, and detecting the input content. Verification of grammar information for accuracy, etc.

Further, in step 2), the listening function of the keyboard operation of the system is utilized to detect whether the user is in an input state. If the interval between the two input actions of the user is less than the default interval time set by the system, the user is considered to be in the input state, and the system continues to monitor state; otherwise, the user stops the input, and the system stops monitoring and starts to enter the pair. The user enters the process of content extraction and matching.

Further, in step 3), the current input information of the user is verified according to the verification grammar obtained by the initialization process.

Further, in step 3), the information of each node position in the user input content is matched with the verification grammar of the same position, and the substring matching is performed from the beginning position of the character string, according to the maximum length of the matched substring. Determine the content of the prompt content that needs to be updated.

Further, in step 3), when verifying the information of each node, the system uses the grammar verification rule of the regular expression, splits the node information into ordered sub-nodes, and then verifies them in order, respectively, in the node. After all the child nodes have been verified to be valid, the node can be considered to be successfully verified.

Further, in step 4), in the case that the system returns an error prompt, the user needs to correct his input as required, so that the system re-matches and returns the result.

Further, in step 5), after verifying each Token, if there is an unverified Token, the system reminds the user that the verification information for the Token is incorrect; until all Tokens are verified and correct, the system will consider The user has completed all the required input and allows the user to enter the next lesson through this course.

An information interaction system based on user behavior analysis for programming teaching using the above method, comprising:

The program development environment subsystem provides the user with an online rendering programming environment for the user to program input;

Initializing the boot subsystem, and receiving the boot information of the course initialization of the server for guiding the user to input;

a feedback guidance subsystem that receives boot information from a formal verification subsystem on the server side and/or an error prompt from the error analysis subsystem and displays it to the user;

The input monitoring subsystem monitors the input behavior of the user, and sends a program analysis request to the information analysis subsystem after the user stops the input behavior for a specified length of time;

The information analysis subsystem extracts the content of the code edit box area of the client, converts it into a special set of mark points, and groups the mark points into a multi-level ordered and unordered array;

Also includes a formal verification subsystem and/or an error analysis subsystem, where:

The formal verification subsystem receives the set of marker points from the information analysis subsystem, and performs depth-first matching verification on the passed token points with the program-form semantic tree stored in the database. When the subtrees of the semantic tree species are completely matched, the subtree is obtained. The corresponding boot information of the root node is returned to the feedback boot subsystem;

The error analysis subsystem receives the set of points from the information analysis subsystem, through the error detection of the grammar, forms the content and error prompts that need to be corrected and returns to the feedback guidance subsystem.

The program development environment subsystem, the initialization boot subsystem, the feedback boot subsystem, and the input monitoring subsystem are applied to the client; the information analysis subsystem, the formal verification subsystem, and the error analysis subsystem can be applied to the client or the client. Applied to the server side.

Further, the information analysis subsystem includes: a keyword extraction module for serializing keywords in the program; a lexical analysis module for combining lexical relationships of keywords to generate an ordered and unordered array .

The information interaction method and system based on user behavior analysis of the invention can be learned by the user without the teacher. The invention can enhance the interaction according to the input content of the user and the real-time feedback mechanism, and provides an efficient, interactive and interesting information interaction and learning platform for users such as programming enthusiasts and computer related fields, and can effectively Pass the knowledge points to the learning users.

DRAWINGS

1 is a flow chart of an information interaction method based on user behavior analysis for programming teaching in an embodiment;

2 is a schematic diagram showing information flow of interaction between a user and a system in an embodiment;

3 is a schematic diagram of an initialization process in an embodiment;

4 is a schematic diagram of information exchange process of each subsystem in the embodiment;

FIG. 5 is a schematic diagram of a user input behavior analysis process in an embodiment; FIG.

6 is an effect diagram of initialization of boot information in the embodiment;

7 is an effect diagram of analyzing user input information and updating guidance information in an embodiment;

Fig. 8 is a view showing the effect of all the users in the embodiment.

detailed description

The above described objects, features and advantages of the present invention will become more apparent from the aspects of the appended claims.

1 is a flow chart of a method of the present invention, and FIG. 2 is a schematic diagram showing information flow of a user interacting with a system. As shown in FIG. 1 and FIG. 2, the method mainly includes the following steps:

In step 11, the initialization boot subsystem provides the user with initialized boot information and prompts the user for input.

FIG. 3 is a schematic diagram of an initialization process. As shown in the figure, the method mainly includes the following steps:

Step 111: The initialization guiding subsystem requests to obtain the learning record information corresponding to the number from the database server according to the learning request number selected by the student A.

Step 112: Initialize the boot subsystem to view the learning record information of the student A, and return the recommended course X and its specific information, including the reading prompt information and the grammar information to be verified;

FIG. 6 is an effect diagram of initializing display of the guidance information. As shown in the figure, the method mainly includes the following steps:

Step 113: Initialize the boot subsystem to check whether the code text in the edit box needs to be initialized. If the code needs to be initialized, the boot area information and the data and style in the edit box are displayed before the student A inputs the content; otherwise, Only need to initialize the boot area information and display it;

In step 114, the student A checks the display area of the system, determines the input code content according to the reading content of the guiding area, inputs the monitoring subsystem to listen to the input behavior of the student A, and the information analysis subsystem obtains the input data of the student A.

In step 12, the error analysis subsystem detects an error in the user input and provides content and further prompts that need to be corrected so that the user can better understand the knowledge points taught in the boot area.

As shown in FIG. 1 and FIG. 4, the main steps are as follows:

Step 121: When the input monitoring subsystem monitors the user to stop the input behavior, the content input by the user is obtained, and is submitted to the information analysis subsystem;

Step 122: The information analysis subsystem separately performs error analysis and formal verification on the content input by the user, and then returns the error analysis result to the error analysis subsystem.

Step 123: According to the error information returned by the information analysis subsystem, the error analysis subsystem determines the type of the error information to determine the processing manner of the error information, and the error analysis subsystem returns the processing result to the feedback guidance subsystem.

Step 124, the feedback guiding subsystem displays the feedback information, and the user obtains new and more specific prompt information, which can enable the user to adjust the input content according to the new prompt information;

Step 125: If there is an error message in the returned result of the feedback guiding subsystem, the user interface displays an error message;

Step 126, if the feedback result of the feedback boot subsystem has boot information, the boot area of the user interface is updated. Content, providing users with more specific guidance information.

In step 13, the information analysis subsystem will continuously guide the user to input, and after guiding the user to input the correct content in turn, the user will be informed that the learning of the current course has been completed.

The main steps include the following steps:

Step 131, when the input monitoring subsystem monitors that the user's input behavior stops, the information analysis subsystem acquires the content in the code edit box;

FIG. 5 is a schematic diagram of an information analysis subsystem analyzing a user input content. As shown in the figure, the method mainly includes the following steps:

Step 132: The keyword extraction module in the information analysis subsystem splits the to-be-verified grammar information returned by the initialization boot subsystem into Token sub-nodes to be verified, and forms Token sub-nodes into an ordered or unordered array;

Step 133, the information analysis subsystem then passes the Token array to the formal verification subsystem, and the formal verification subsystem splits the passed Token array, and each of the split elements is sequentially acquired by the information analysis subsystem. User input content to match;

Step 134, the matching manner is as follows: view the node information contained in a split Token, and the node information exists in the form of a regular matching expression;

Step 135: The formal verification subsystem respectively obtains the current user input content and the Token node information, matches the two, and returns a matching result;

Step 136, if the returned matching result is a correct matching result, marking the status of the Token node location as a correct matching state; otherwise, marking the node location as an incorrect matching state;

Step 137, after verifying the state of each element in the Token array to be verified that is passed to the formal verification subsystem by the information analysis subsystem, a state information string having the same length as the Token array is obtained, and the formal verification subsystem Will return the status list information to the client;

Figure 7 is an effect diagram of analyzing user input information and updating the guidance information. As shown in the figure, the following steps are included:

Step 138, the client performs different processing methods according to the status value returned by the formal verification subsystem;

Step 139, as shown in FIG. 4, if the verification result of the current knowledge point by the formal verification subsystem is correct, the feedback guiding subsystem replaces the content of the user guiding area, and guides the user to enter the next knowledge point;

Step 1310, until the formal verification subsystem correctly matches all the Token nodes, and the feedback boot subsystem guides the user boot area content to the end part information, prompting the user that the verification process has been completed;

FIG. 8 is an effect diagram of the user after all the verifications are performed according to an embodiment of the present invention. As shown in the figure, the following steps are included:

Step 1311, the feedback boot subsystem informs the user that the code can be entered into the program development environment subsystem. Operation

Step 1312, the user runs the code in the program development subsystem, interacts with the program, or views the code running result;

In step 1313, the user can modify the content in the code edit box and run the modified code after the verification process of the formal verification subsystem is passed.

The above embodiments are only used to illustrate the technical solutions of the present invention, and the present invention is not limited thereto, and those skilled in the art can modify or replace the technical solutions of the present invention without departing from the spirit and scope of the present invention. The scope of protection shall be as stated in the claims.

Claims

An information interaction method based on user behavior analysis for programming teaching, the steps of which include:

1) providing the user with initialization boot information and guiding the user to start input;

2) Listening to the user's input behavior, taking different processing methods according to the user's input state and input result, if there is input behavior, continue to listen until the user stops inputting behavior;

3) When the user input behavior stops, start to analyze the content input by the user, and extract and match whether the content input by the user meets the expected input requirement;

4) If the matching result does not meet the requirements, the user is prompted to input the content incorrectly or provide further guidance prompts until the user corrects the input content to make it meet the requirements;

5) Repeat the above steps. When the user completes all the input requirements according to the guiding steps, it can be regarded as completing the course, and the system will guide to the next learning content.
The method according to claim 1, wherein in step 1), the initialized guiding information comprises: information for being read by the user, prompt information for informing the user of the required input content, and being used to notify the user that the error is easy. Point prompt information, verification grammar information for detecting the accuracy of the input content.
The method according to claim 1, wherein in step 2), the listening function of the keyboard operation of the system is used to detect whether the user is in an input state; if the interval between the two input actions of the user is less than the system setting The default interval duration is considered to be the user being input, and the system continues to monitor state; otherwise, the user is considered to have stopped inputting, and the system will stop listening and begin to enter the process of extracting and matching the user input content.
The method according to claim 1, wherein in step 3), the current input information of the user is verified according to the verification grammar obtained by the initialization process.
The method according to claim 4, wherein in step 3), the information of each node position in the user input content is matched with the verification grammar of the same position, and the substring matching is performed from the beginning of the character string, according to The maximum substring length that is matched to determine the prompt content information that needs to be updated.
The method according to claim 5, wherein in step 3), when verifying the information of each node, the grammar verification rule of the regular expression is used, and the node information is split into ordered sub-nodes, and then The order is verified separately, and after all the child nodes in the node are verified to be valid, the node can be considered to be successfully verified.
The method of claim 1 wherein in step 4), in the event that the system returns an error indication, the user needs to correct his or her input as required, thereby allowing the system to re-match and return the result.
The method according to claim 1, wherein in step 5), after verifying each token, if there is an unverified Token, the user is reminded that the verification information for the token is incorrect; until all tokens are present Are Verification and error-free, the system will assume that the user has completed all the required input, allowing the user to enter the next lesson through this course.
An information interaction system based on user behavior analysis for programming teaching using the method of claim 1 is characterized in that it comprises:

The program development environment subsystem provides the user with an online rendering programming environment for the user to program input;

Initializing the boot subsystem, and receiving the boot information of the course initialization of the server for guiding the user to input;

a feedback guidance subsystem that receives boot information from a formal verification subsystem on the server side and/or an error prompt from the error analysis subsystem and displays it to the user;

The input monitoring subsystem monitors the input behavior of the user, and sends a program analysis request to the information analysis subsystem after the user stops the input behavior for a specified length of time;

The information analysis subsystem extracts the content of the code edit box area of the client, converts it into a special set of mark points, and groups the mark points into a multi-level ordered and unordered array;

Also includes a formal verification subsystem and/or an error analysis subsystem, where:

The formal verification subsystem receives the set of marker points from the information analysis subsystem, and performs depth-first matching verification on the passed token points with the program-form semantic tree stored in the database. When the subtrees of the semantic tree species are completely matched, the subtree is obtained. The boot information corresponding to the root node is returned to the feedback boot subsystem;

The error analysis subsystem receives the set of points from the information analysis subsystem, through the error detection of the grammar, forms the content and error prompts that need to be corrected and returns to the feedback guidance subsystem.
The system according to claim 9, wherein the program development environment subsystem, the initialization guidance subsystem, the feedback guidance subsystem, and the input monitoring subsystem are applied to the client; the information analysis subsystem, the formal verification subsystem, and the error analysis The subsystem is applied to the client or applied to the server.