CN-117056538-B - Teaching data generation method, device, equipment and storage medium

Abstract

The invention provides a method, a device, equipment and a storage medium for generating teaching data, wherein the method for generating the teaching data comprises the steps of acquiring unit teaching design requirements input by a user, calling a preset field large model, acquiring teaching intention according to the unit teaching design requirements, retrieving knowledge information related to the teaching intention from a field knowledge base, calling the field large model, generating unit teaching design contents according to the unit teaching design requirements and the knowledge information related to the teaching intention, and further generating lesson teaching activity contents according to the unit teaching design contents and generating lesson teaching activity courseware according to the lesson teaching activity contents. The teaching data generation method provided by the embodiment of the invention can intelligently generate teaching data, and the generated teaching data can be directly utilized or utilized after being modified by a user, and can also be used as a reference basis for the user to design the teaching data, so that the burden of the user can be greatly reduced.

Inventors

• WANG SHIJIN
• CHEN YUJUE
• Zhan Jindong
• WANG YANG
• ZHU XIANG
• Lai Xuewu
• KUAI JIFENG

Assignees

• 科大讯飞股份有限公司

Dates

Publication Date

20260505

Application Date

20230814

Claims (15)

1. 1. A teaching data generation method, characterized by comprising: acquiring a unit teaching design requirement input by a user; Calling a preset large field model, and acquiring teaching intention according to the unit teaching design requirement; retrieving knowledge information related to the teaching intent from a domain knowledge base; Acquiring a second pre-configured template in a template format, wherein the second template in a template format comprises a unit teaching design requirement information groove and a domain knowledge information groove, and the second template in a template format is used for indicating a domain big model to generate unit teaching design contents according to information in the unit teaching design requirement information groove and combining the information in the domain knowledge information groove; Filling the unit teaching design requirements into the unit teaching design requirement information groove, and filling knowledge information related to the teaching intention into the domain knowledge information groove to obtain an edited second instruction prompt; invoking the large domain model based on the second instruction command template to generate unit teaching design content serving as target unit teaching design content; The large domain model is obtained by training data of education domains and combining specified tasks, and the specified tasks at least comprise an intention recognition task and a unit teaching design generation task.
2. 2. The teaching data generation method according to claim 1, wherein the training process of the domain big model includes: Training the initial large domain model by adopting unlabeled training data in the education field to obtain a first large domain model; and training the first domain large model by adopting marked training data of the education domain in combination with the appointed task to obtain a second domain large model as a final domain large model.
3. 3. The teaching data generation method according to claim 1, characterized by further comprising: Acquiring first content to be modified selected from generated unit teaching design content by a user, and acquiring modification requirements of the user on the first content and contextual information of the first content; and calling the large domain model, modifying the first content according to the modification requirement of the first content and the context information of the first content, and taking the modified unit teaching design content as a target unit teaching design content.
4. 4. The teaching data generation method according to any one of claims 1 to 3, wherein the target unit teaching design content includes part or all of a unit theme, a learning task group to which a unit belongs, a unit teaching content, a unit teaching target, a situation task design content, and a learning task design content; The learning task design content comprises a plurality of task information, wherein each task information comprises part or all of a task theme, a task target, task activity information and the number of lessons required by a task, and the task activity information comprises a lesson teaching activity name.
5. 5. The method for generating teaching data according to claim 4, wherein the specified tasks further include a time teaching activity generating task; The teaching data generation method further comprises the following steps: acquiring a user-specified class time teaching activity name from the target unit teaching design content as a target class time teaching activity name; and calling the large field model, and generating the time teaching activity content corresponding to the target time teaching activity name as target time teaching activity content according to the target time teaching activity name and the target unit teaching design content.
6. 6. The teaching data generation method according to claim 5, characterized by further comprising: Acquiring second content to be modified selected from generated lesson teaching activity content by a user, and acquiring modification requirements of the user on the second content and contextual information of the second content; And calling the large domain model, and modifying the second content according to the modification requirement of the second content and the context information of the second content, wherein the modified lesson teaching activity content is used as the target lesson teaching activity content.
7. 7. The teaching data generation method according to claim 5, characterized by further comprising: And generating a class time teaching activity courseware according to the target class time teaching activity content.
8. 8. The method for generating teaching data according to claim 7, wherein the specified tasks further include a courseware outline generating task; Generating a lesson teaching activity courseware according to the target lesson teaching activity content, wherein the lesson teaching activity courseware comprises the following steps: invoking the field big model, and generating a courseware outline according to the target teaching activity content in class, wherein the courseware outline comprises the key point content of each page of courseware; And generating a class time teaching activity courseware according to the class of the courseware.
9. 9. The method for generating teaching data according to claim 8, wherein the specified tasks further include a courseware content planning task; Generating a courseware of the teaching activities according to the courseware outline, wherein the method comprises the following steps: invoking the large domain model, and determining constituent elements of each courseware and element content requirements corresponding to the constituent elements according to the gist content of each courseware; Acquiring element content corresponding to the constituent elements of each courseware according to the element content requirements corresponding to the constituent elements of each courseware; Generating the lesson teaching activity courseware according to the constituent elements of each courseware and the element content corresponding to the constituent elements of each courseware.
10. 10. The method for generating teaching data according to claim 9, wherein the specified task further comprises a keyword recognition task; the obtaining the element content corresponding to the constituent elements of each courseware according to the element content requirement corresponding to the constituent elements of each courseware comprises the following steps: for each page of courseware: invoking the large domain model, and identifying keywords from element content requirements corresponding to the constituent elements of the courseware; and retrieving the materials related to the keywords from a multi-mode material library based on the keywords, and taking the materials as element contents corresponding to the constituent elements of the courseware.
11. 11. The teaching data generation method according to claim 10, wherein the specified task further includes a material generation task; The method for obtaining the element content corresponding to the constituent elements of each courseware according to the element content requirements corresponding to the constituent elements of each courseware further comprises the following steps: And if the materials related to the keywords are not retrieved from the multi-mode material library, calling the large domain model, and generating element contents corresponding to the constituent elements of the page courseware according to the element content requirements corresponding to the constituent elements of the page courseware.
12. 12. The teaching data generation method according to claim 8, wherein the specified tasks further include a structured chart generation task and/or a keyword recognition task; The teaching data generation method further comprises the following steps: The method comprises the steps of obtaining text content selected by a user from generated lesson teaching activity courseware, calling the large field model, and generating a structured chart according to the text content; And/or the number of the groups of groups, The method comprises the steps of obtaining a material obtaining requirement of a user, calling the large domain model, identifying keywords from the material obtaining requirement, retrieving materials related to the identified keywords from a multi-mode material library based on the identified keywords, and adding the retrieved materials into generated lesson teaching activity courseware.
13. 13. The teaching data generating device is characterized by comprising a teaching design requirement acquisition module, a teaching intention acquisition module, a domain knowledge retrieval module and a unit teaching design content generating module; The teaching design requirement acquisition module is used for acquiring unit teaching design requirements input by a user; The teaching intention acquisition module is used for calling a preset large domain model and acquiring teaching intention according to the unit teaching design requirement; the domain knowledge retrieval module is used for retrieving knowledge information related to the teaching intention from a domain knowledge base; The unit teaching design content generating module is used for acquiring a second pre-configured template with a unit teaching design requirement information slot and a domain knowledge information slot, wherein the second template with the format is used for indicating a domain big model to generate unit teaching design content according to information in the unit teaching design requirement information slot and combining information in the domain knowledge information slot, filling the unit teaching design requirement into the unit teaching design requirement information slot, filling knowledge information related to the teaching intention into the domain knowledge information slot to obtain an edited second instruction template, and calling the domain big model based on the second instruction template to generate the unit teaching design content serving as target unit teaching design content; The large domain model is obtained by training data of education domains and combining specified tasks, and the specified tasks at least comprise an intention recognition task and a unit teaching design generation task.
14. 14. The teaching data generating device is characterized by comprising a memory and a processor; the memory is used for storing programs; The processor is configured to execute the program to implement the steps of the teaching data generation method according to any one of claims 1 to 12.
15. 15. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the teaching data generation method according to any of claims 1-12.

Description

Teaching data generation method, device, equipment and storage medium Technical Field The present invention relates to the field of information generation, and in particular, to a method, an apparatus, a device, and a storage medium for generating teaching data. Background The teaching data (such as teaching design) is data according to which a teacher performs teaching. At present, the teaching data is usually designed by teachers according to lessons, teaching contents and teaching objects, the design of the teaching data is a difficult and heavy work, if the teaching data can be intelligently generated, the burden of the teachers can be greatly lightened, however, how to intelligently generate the teaching data is a problem which needs to be solved at present. Disclosure of Invention In view of this, the invention provides a method, a device and a storage medium for generating teaching data, which are used for intelligently generating teaching data so as to reduce the burden of teachers, and the technical scheme is as follows: in a first aspect, a method for generating teaching data is provided, including: acquiring a unit teaching design requirement input by a user; Calling a preset large field model, and acquiring teaching intention according to the unit teaching design requirement; retrieving knowledge information related to the teaching intent from a domain knowledge base; invoking the large field model, and generating unit teaching design contents as target unit teaching design contents according to the unit teaching design requirements and knowledge information related to the teaching intention; The large domain model is obtained by training data of education domains and combining specified tasks, and the specified tasks at least comprise an intention recognition task and a unit teaching design generation task. Optionally, the training process of the domain big model includes: Training the initial large domain model by adopting unlabeled training data in the education field to obtain a first large domain model; and training the first domain large model by adopting marked training data of the education domain in combination with the appointed task to obtain a second domain large model as a final domain large model. Optionally, the teaching data generating method further includes: Acquiring first content to be modified selected from generated unit teaching design content by a user, and acquiring modification requirements of the user on the first content and contextual information of the first content; and calling the large domain model, modifying the first content according to the modification requirement of the first content and the context information of the first content, and taking the modified unit teaching design content as a target unit teaching design content. Optionally, the target unit teaching design content comprises part or all of a unit theme, a learning task group to which the unit belongs, unit teaching content, a unit teaching target, situation task design content and learning task design content; The learning task design content comprises a plurality of task information, wherein each task information comprises part or all of a task theme, a task target, task activity information and the number of lessons required by a task, and the task activity information comprises a lesson teaching activity name. Optionally, the appointed task further comprises a lesson teaching activity generation task; The teaching data generation method further comprises the following steps: acquiring a user-specified class time teaching activity name from the target unit teaching design content as a target class time teaching activity name; and calling the large field model, and generating the time teaching activity content corresponding to the target time teaching activity name as target time teaching activity content according to the target time teaching activity name and the target unit teaching design content. Optionally, the teaching data generating method further includes: Acquiring second content to be modified selected from generated lesson teaching activity content by a user, and acquiring modification requirements of the user on the second content and contextual information of the second content; And calling the large domain model, and modifying the second content according to the modification requirement of the second content and the context information of the second content, wherein the modified lesson teaching activity content is used as the target lesson teaching activity content. Optionally, the teaching data generating method further includes: And generating a class time teaching activity courseware according to the target class time teaching activity content. Optionally, the appointed task further comprises a courseware outline generating task; Generating a lesson teaching activity courseware according to the target lesson teaching activity content, wherein the lesson teaching activity course