CN107545791B - System and method for automatically generating classroom teaching knowledge map by courseware - Google Patents
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Abstract
The invention relates to the technical field of information technology and education, in particular to a system and a method for automatically generating a classroom teaching knowledge map by courseware. The system comprises the following modules: the classroom content recording module is used for recording and identifying classroom courseware content by a plug-in installed on a user computer; the data acquisition module is connected with the classroom content recording module and used for converting the recorded classroom courseware content into text information and identifying key content; and the map generation module is connected with the data acquisition module and used for calculating the weight value of the key content identified by the data acquisition module, establishing a related attribute-value pair relation and storing data to generate a preset knowledge map. According to the invention, courseware contents can be identified according to courseware of a teacher, artificial intelligence technology is relied on, the weight values of knowledge points are calculated, the relation between the knowledge points is established, and a knowledge map related to the classroom teaching contents is automatically generated; the teacher teaching knowledge content can be evaluated in real time, the teacher is promoted to think back, and the teaching quality is continuously improved.
Description
Technical Field
The invention relates to the technical field of information technology and education, in particular to a system and a method for automatically generating a classroom teaching knowledge graph by using courseware.
Background
The knowledge map is also called scientific knowledge map, is called knowledge domain visualization or knowledge domain mapping map in the book information field, is a series of different graphs for displaying the relation between the knowledge development process and the structure, describes knowledge resources and carriers thereof by using visualization technology, and excavates, analyzes, constructs, draws and displays knowledge and the mutual relation between the knowledge resources and the carriers. The modern theory of the multidisciplinary fusion purpose is achieved by combining the theory and method of applying mathematics, graphics, information visualization technology, information science and other disciplines with the method of metrology introduction analysis, co-occurrence analysis and the like and utilizing a visual map to vividly display the core structure, development history, frontier field and overall knowledge framework of the disciplines. Provides a practical and valuable reference for subject research.
Speech recognition technology is a high technology that allows machines to convert speech signals into corresponding text or commands through a recognition and understanding process. The voice recognition technology mainly comprises three aspects of a feature extraction technology, a pattern matching criterion and a model training technology.
TF-IDF is a statistical method to evaluate the importance of a word to one of a set of documents or a corpus. The importance of a word increases in proportion to the number of times it appears in a document, but at the same time decreases in inverse proportion to the frequency with which it appears in the corpus. Various forms of TF-IDF weighting are often applied by search engines as a measure or rating of the degree of relevance between a document and a user query. In addition to TF-IDF, search engines on the internet use a ranking method based on link analysis to determine the order in which documents appear in search results.
RDF is an XML (subset of standard universal markup language) application that handles metadata, i.e. "data describing data" or "information describing information". Perhaps such interpretation of metadata is somewhat difficult to understand, as for a simple example, the content of a book is the data of the book, and the name of the author, the address of the publisher, or copyright information is the metadata of the book. The division of data and metadata is not absolute, and some data may be handled as data or metadata, for example, the name of an author may be handled as data rather than metadata.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a system and a method for automatically generating a classroom teaching knowledge graph by using courseware, which can automatically generate the knowledge graph related to classroom teaching contents according to the courseware of a teacher.
In order to solve the problems, the technical scheme provided by the invention is as follows: a system for automatically generating a classroom teaching knowledge graph by using courseware comprises the following modules:
the classroom content recording module is used for recording and identifying classroom content through a plug-in installed on a user computer;
the data acquisition module is connected with the classroom content recording module and used for converting the recorded classroom courseware content into text information and identifying key content;
and the map generation module is connected with the data acquisition module and used for calculating the weight value of the key content identified by the data acquisition module, establishing a related attribute-value pair relation and storing data to generate a preset knowledge map.
Further, the classroom content recording module includes:
the courseware recognition unit is used for recording courseware content and page switching time of a class through a VSTO plug-in installed on a user computer, performing semantic processing on the courseware content and recognizing key knowledge content;
the video stream identification unit is connected with the courseware identification unit and used for recording the change of the computer picture and recording the time value through a VGA plug-in installed on the user computer;
and the word frequency recording unit is used for recording the time attribute of each knowledge content and recording the word frequency according to the time value, the time value of the synchronous courseware and the time value of the video stream.
Further, the data acquisition module comprises:
the voice-to-text unit is connected with the word frequency recording unit and is used for converting video resources in the classroom teaching process into audio files and converting the audio files into text information through a voice recognition technology;
and the word frequency identification unit is connected with the voice-to-text unit and used for identifying the word frequency by taking the key knowledge content as a key word through a TF-IDF algorithm according to the key knowledge content identified by the data acquisition module.
Further, the map generation module comprises:
the weighted value calculating unit is connected with the word frequency identifying unit and is used for dividing the weighted value and calculating the weighted average value of the knowledge points according to the time duration and the word frequency to generate the weighted value between the parent knowledge content and the child knowledge content;
and the map generation unit is connected with the weight value calculation unit and used for establishing a related attribute-value pair relationship according to the weight value calculated by the weight value calculation unit, storing data generated by the classroom content recording module, the data acquisition module and the weight value calculation unit according to an RDF (remote data format) data format and generating a preset knowledge map.
The invention also provides a method for automatically generating the classroom teaching knowledge graph by using courseware, wherein the method comprises the following steps:
s1, recording classroom contents, and recording and identifying classroom contents through a plug-in installed on a user computer;
s2, data acquisition, namely converting recorded classroom courseware contents into text information and identifying key contents;
and S3, generating a map, calculating the weight value of the key content identified by the data acquisition module, establishing a related attribute-value pair relation, and storing data to generate a preset knowledge map.
Further, the step S1 of recording the classroom content further includes:
s101, courseware identification, namely recording courseware content and page switching time of a class through a VSTO plug-in installed on a user computer, performing semantic processing on the courseware content, and identifying key knowledge content;
s102, identifying a video stream, recording the change of a computer picture through a VGA plug-in installed on a user computer, and recording a time value;
and S103, recording word frequency, synchronizing time values of courseware and video streams according to the time values, recording the time attribute of each knowledge content, and recording the word frequency.
Further, the step S2 of collecting data further includes:
s201, converting voice into text, converting video resources in a classroom teaching process into an audio file, and converting the audio file into text information through a voice recognition technology;
s202, recognizing word frequency, namely recognizing the word frequency by taking the key knowledge content as a key word through a TF-IDF algorithm according to the key knowledge content recognized by the data acquisition module.
Further, the step S3 of generating the map further includes:
s301, weight value calculation, namely performing weight value division and weighted average calculation on the knowledge points according to time duration and word frequency to generate weight values between the parent knowledge content and the child knowledge content;
s302, generating a map, establishing a related attribute-value pair relation according to the weight value calculated by the weight value calculating unit, storing data generated by the classroom content recording module, the data acquisition module and the weight value calculating unit according to an RDF data format, and generating a preset knowledge map.
Compared with the prior art, the beneficial effects are: the invention provides a system and a method for automatically generating a classroom teaching knowledge map by courseware, which can identify courseware contents, calculate the weight values of knowledge points, establish the relationship between the knowledge points and automatically generate the knowledge map related to classroom teaching contents according to the courseware of a teacher; the teacher teaching knowledge content can be evaluated in real time, the teacher is promoted to think back, and the teaching quality is continuously improved.
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Fig. 1 is a schematic view of the overall structure of the present invention.
FIG. 2 is a flow chart of the method of the present invention.
Detailed Description
The drawings are for illustrative purposes only and are not to be construed as limiting the patent; for the purpose of better illustrating the embodiments, certain features of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted. The positional relationships depicted in the drawings are for illustrative purposes only and are not to be construed as limiting the present patent.
As shown in fig. 1, a system for automatically generating a classroom teaching knowledge graph by using courseware includes the following modules:
the classroom content recording module is used for recording and identifying classroom content through a plug-in installed on a user computer;
the data acquisition module is connected with the classroom content recording module and used for converting the recorded classroom courseware content into text information and identifying key content;
and the map generation module is connected with the data acquisition module and used for calculating the weight value of the key content identified by the data acquisition module, establishing a related attribute-value pair relation and storing data to generate a preset knowledge map.
In some embodiments, the classroom content recording module comprises a courseware identification unit, a video stream identification unit and a word frequency recording unit; the classroom identification unit is used for recording classroom content and page switching time of a classroom through a VSTO plug-in installed on a user computer, performing semantic processing on the classroom content and identifying key knowledge content; the video stream identification unit is connected with the courseware identification unit and used for recording the change of the computer picture and recording the time value through a VGA plug-in installed on the user computer; and the word frequency recording unit is used for recording the time attribute of each knowledge content and recording the word frequency according to the time value, the time value of the synchronous courseware and the time value of the video stream.
In some embodiments, the data acquisition module comprises a speech-to-text unit and a word frequency recognition unit, wherein the speech-to-text unit is connected with the word frequency recording unit and is used for converting video resources in the classroom teaching process into an audio file and converting the audio file into text information through a speech recognition technology; and the word frequency identification unit is connected with the voice-to-text unit and used for identifying the word frequency by taking the key knowledge content as a key word through a TF-IDF algorithm according to the key knowledge content identified by the data acquisition module.
In the present invention, it should be noted that some key knowledge contents have spoken expressions, and need to be fuzzy-matched by regular expressions, for example, "study object", which is "object of study" in actual teaching, and can be set as "study? Object "to identify.
In some embodiments, the graph generation module includes a weight value calculation unit and a graph generation unit; the weighted value calculating unit is connected with the word frequency identifying unit and is used for dividing weighted values and calculating weighted average values of the knowledge points according to time duration and word frequency to generate weighted values between the sub-item knowledge content and the secondary sub-item knowledge content; and the map generation unit is connected with the weight value calculation unit and used for establishing a related attribute-value pair relationship according to the weight value calculated by the weight value calculation unit, storing data generated by the classroom content recording module, the data acquisition module and the weight value calculation unit according to an RDF (remote data format) data format and generating a preset knowledge map.
In the present invention, since knowledge content of the knowledge-graph is structured hierarchically, extended concepts at each level are subjected to hierarchical statistics, such as: a has three sub-items B1, B2 and B3, the three sub-items have next-level sub-items B1-1, B1-2, B1-3, B2-1, B2-2, B3-1, B3-2 and B3-3, the word frequency statistics and the duration of the 8 second-level sub-items are as follows:
TABLE 1 word frequency and duration of word A
When calculating the weight relationship, the weight of B1-1 to B1 is x × n1/(n1+ n2+ n3) + y × t1/(t1+ t2+ t3), wherein x + y is 1; the weight of B1 to a is x (n1+ n2+ n3)/(n1+ n2+ n3+ … … + n8) + y (t1+ t2+ t3)/(t1+ t2+ t3+ … … + t 8).
As shown in fig. 2, the present invention further provides a method for automatically generating a classroom teaching knowledge graph by using courseware, wherein the method comprises the following steps:
s1, recording classroom contents, and recording and identifying classroom contents through a plug-in installed on a user computer;
s2, data acquisition, namely converting recorded classroom courseware contents into text information and identifying key contents;
and S3, generating a map, calculating the weight value of the key content identified by the data acquisition module, establishing a related attribute-value pair relation, and storing data to generate a preset knowledge map.
Specifically, the step S1 of recording the classroom content further includes:
s101, courseware identification, namely recording courseware content and page switching time of a class through a VSTO plug-in installed on a user computer, performing semantic processing on the courseware content, and identifying key knowledge content;
s102, identifying a video stream, recording the change of a computer picture through a VGA plug-in installed on a user computer, and recording a time value;
and S103, recording word frequency, synchronizing time values of courseware and video streams according to the time values, recording the time attribute of each knowledge content, and recording the word frequency.
In addition, the data acquisition in the step S2 further includes:
s201, converting voice into text, converting video resources in a classroom teaching process into an audio file, and converting the audio file into text information through a voice recognition technology;
s202, recognizing word frequency, namely recognizing the word frequency by taking the key knowledge content as a key word through a TF-IDF algorithm according to the key knowledge content recognized by the data acquisition module.
Wherein, the step of generating the map at the step of S3 further comprises:
s301, weight value calculation, namely performing weight value division and weighted average calculation on the knowledge points according to time duration and word frequency to generate weight values between the sub-item knowledge content and the secondary sub-item knowledge content;
s302, generating a map, establishing a related attribute-value pair relation according to the weight value calculated by the weight value calculating unit, storing data generated by the classroom content recording module, the data acquisition module and the weight value calculating unit according to an RDF data format, and generating a preset knowledge map.
In the invention, because the knowledge maps generated by each teacher have differences, the standard knowledge maps can be preset for comparison and analysis of the actual knowledge maps. Or the knowledge graph of the teacher with the highest classroom teaching score can be used as a standard value to perform comparison analysis between the knowledge graphs.
It should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (4)
1. A system for automatically generating a classroom teaching knowledge graph by using courseware is characterized by comprising the following modules:
the classroom content recording module is used for recording and identifying classroom content through a plug-in installed on a user computer;
the data acquisition module is connected with the classroom content recording module and used for converting the recorded classroom courseware content into text information and identifying key content;
the map generation module is connected with the data acquisition module and used for calculating the weight value of the key content identified by the data acquisition module, establishing a related attribute-value pair relation and storing data to generate a preset knowledge map;
the map generation module comprises:
the weighted value calculating unit is connected with the data acquisition module and is used for dividing the weighted value of the knowledge point and calculating the weighted average value according to the time duration and the word frequency to generate the weighted value between the parent knowledge content and the child knowledge content;
the atlas generation unit is connected with the weight value calculation unit and used for establishing a related attribute-value pair relationship according to the weight value calculated by the weight value calculation unit, storing data generated by the classroom content recording module, the data acquisition module and the weight value calculation unit according to an RDF (remote data format) data format and generating a preset knowledge atlas;
the classroom content recording module comprises:
the courseware recognition unit is used for recording courseware content and page switching time of a class through a VSTO plug-in installed on a user computer, performing semantic processing on the courseware content and recognizing key knowledge content;
the video stream identification unit is connected with the courseware identification unit and used for recording the change of the computer picture and recording the time value through a VGA plug-in installed on the user computer;
and the word frequency recording unit is used for recording the time attribute of each knowledge content and recording the word frequency according to the time value, the time value of the synchronous courseware and the time value of the video stream.
2. The system for automatically generating a classroom teaching knowledge graph using courseware as claimed in claim 1, wherein said data collection module comprises:
the voice-to-text unit is connected with the word frequency recording unit and is used for converting video resources in the classroom teaching process into audio files and converting the audio files into text information through a voice recognition technology;
and the word frequency identification unit is connected with the voice-to-text unit and used for identifying the word frequency by taking the key knowledge content as a key word through a TF-IDF algorithm according to the key knowledge content identified by the data acquisition module.
3. A method for automatically generating a classroom teaching knowledge graph by using courseware is characterized by comprising the following steps:
s1, recording classroom contents, and recording and identifying classroom contents through a plug-in installed on a user computer; wherein, still include:
s101, courseware identification, namely recording courseware content and page switching time of a class through a VSTO plug-in installed on a user computer, performing semantic processing on the courseware content, and identifying key knowledge content;
s102, identifying a video stream, recording the change of a computer picture through a VGA plug-in installed on a user computer, and recording a time value;
s103, recording word frequency, synchronizing time values of courseware and video streams according to the time values, recording time attributes of each knowledge content, and recording word frequency;
s2, data acquisition, namely converting recorded classroom courseware contents into text information and identifying key contents;
s3, generating a map, calculating the weight value of the key content identified by the data acquisition module, establishing a related attribute-value pair relation, and storing data to generate a preset knowledge map; firstly, weight value calculation is carried out, weight value division and weighted average value calculation are carried out on knowledge points according to time duration and word frequency, weight values between parent knowledge contents and child knowledge contents are generated, then, a map is generated, a relevant attribute-value pair relation is established according to the weight values calculated by a weight value calculation unit, data generated by a classroom content recording module, a data acquisition module and the weight value calculation unit are stored according to an RDF data format, and a preset knowledge map is generated.
4. The method of claim 3, wherein the step of collecting data at S2 further comprises:
s201, converting voice into text, converting video resources in a classroom teaching process into an audio file, and converting the audio file into text information through a voice recognition technology;
s202, recognizing word frequency, namely recognizing the word frequency by taking the key knowledge content as a key word through a TF-IDF algorithm according to the key knowledge content recognized by the data acquisition module.
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