19 results about "Instructional design" patented technology

The invention relates to an AI-based subject education auxiliary method and device and a storage medium, which are applied to the technical field of intelligent teaching, and comprise the steps of: introducing a teaching plan script as a macroscopic framework of teaching, ensuring that an AI teaching process is always carried out around teaching design and core targets of teachers, and improving the teaching efficiency. The problem of teaching content deviation possibly occurring in a pure response type system is avoided, meanwhile, microcosmic dynamic adjustment can be carried out in the framework according to real-time feedback of students, and organic combination of teaching structure and personalized self-adaption is achieved. By constructing and dynamically updating the individual knowledge graph for each student, the system can accurately diagnose the weak knowledge points of the students and provide personalized teaching guidance and after-class homework according to the weak knowledge points, thereby realizing accurate and efficient'apportionality teaching '. According to the invention, the whole process of'teaching-learning-evaluation-diagnosis-mending 'is integrated, a complete data-driven teaching closed loop is formed, and the overall teaching quality is systematically improved.

The invention relates to a generative AI-assisted teaching plan automatic construction method and device, equipment and a medium. The method comprises the following steps: analyzing a course standard document to extract a subject core concept; generating a customizable project-based learning situation through a generative AI model based on the subject core concept in combination with a preset situation database and an interdisciplinary knowledge graph; generating a structured teaching activity process template by using a preset teaching design model according to the customized project-based learning situation; based on the teaching activity process template, matching and obtaining teaching resources, cognitive tools and an evaluation template from a preset resource and tool library; and combining the teaching resources, the cognitive tool, the evaluation template and the teaching activity process template to generate an initial teaching plan. According to the invention, full-process automation of teaching plan design is realized, the technical problems of low efficiency of manual teaching plan construction and insufficient interdisciplinary integration are solved, and the standardization degree and implementability of teaching design are improved.

The invention relates to a classroom teaching content multi-dimensional dynamic evaluation method based on double knowledge maps, which comprises the following steps of: combining a multi-modal data fusion technology and an elastic path analysis algorithm by utilizing a static knowledge map of a teaching outline and a dynamic knowledge map of classroom teaching; the four dimensions of teaching content coverage, teaching logic and time management, teaching structure compliance and knowledge association tightness are comprehensively evaluated, teachers are helped to discover and solve potential problems, teaching design is optimized, and teaching quality is improved. The method effectively overcomes the problems of one-sidedness, hysteresis quality and subjective judgment of traditional teaching evaluation, realizes transformation and upgrading of teaching evaluation from simple'static rule matching 'to deep'dynamic intelligent diagnosis', effectively improves objectivity, systematicness and real-time performance of evaluation, provides a data-driven decision basis for optimizing teaching design, and improves teaching evaluation efficiency. Teaching evaluation is promoted to be transformed to digitization, standardization and intelligentization.

The invention discloses a generative agent cognitive diagnosis framework fusing teacher thinking, and the framework is used for modeling a cognitive judgment process of a teacher in a real teaching scene, systematically constructing task-aware thinking modeling, a behavior track-based observation reflection mechanism, and a causal-driven explanation generation module. Therefore, dynamic modeling and deviation diagnosis of the cognitive state of the student are realized. The method has the advantages that firstly, the method has good cold start capability, and reasonable judgment can be made even if complete historical behavior data is lacked; 2, the method has relatively high interpretability, can output a causal chain of'knowledge state-behavior process-task performance ', and supports accurate teaching intervention; and thirdly, the method has the ability of distinguishing the thinking levels of students, can assist in completing Bloom cognitive classification, and provides effective support for task layering and teaching design.

The invention provides a teaching courseware generation method and device, and relates to the technical fields of document processing, artificial intelligence, natural language processing and the like. According to the specific scheme, the method comprises the following steps: generating a teaching design general outline comprising a unit identifier of a teaching material unit and module information of at least two teaching modules based on teaching elements of the teaching material unit input by a user; based on the teaching design general outline, teaching resources are generated for each teaching module; based on the teaching design general outline, detecting whether the learning targets of the teaching resources among different teaching modules are consistent and / or whether the teaching resources of each teaching module deviate from respective teaching targets; in response to detection that the learning targets of the teaching resources are inconsistent and / or deviate from the teaching targets, regenerating the teaching resources of the corresponding teaching modules, and continuing detection until the learning targets of the teaching resources of different teaching modules are consistent and the teaching resources of all the teaching modules do not deviate from the respective teaching targets; and generating a target teaching courseware of the teaching material unit based on the teaching resources.

The embodiment of the invention discloses a classroom optimization suggestion generation method and device, electronic equipment and a storage medium. Multimedia teaching data of a target classroom and teaching design data corresponding to the multimedia teaching data are acquired; according to the multimedia teaching data and the time information of the multimedia teaching data, performing teaching link segmentation on the multimedia teaching data to obtain a first link segmentation result; performing teaching link segmentation on the teaching design data to obtain a second link segmentation result; based on the first link segmentation result and the second link segmentation result, performing time sequence alignment on the multimedia teaching data and the teaching design data; and generating a classroom optimization suggestion for the target classroom based on the multimedia teaching data and the teaching design data after time sequence alignment. Therefore, targeted classroom optimization suggestions are generated for each teaching link of the classroom based on the time sequence aligned data, and the accuracy of optimizing the data is improved.

The invention belongs to the technical field of teaching systems, and particularly discloses a classroom evaluation system based on large model proxy architecture and retrieval enhancement generation, comprising: a retrieval module used for determining a target document block by analyzing semantic similarity based on a word embedding vector and an evaluation standard query vector corresponding to a document block of teaching design; the classroom semantic information extraction module is used for inputting and extracting cue words to the large language model and obtaining an extraction result output by the large language model; the evaluation module is used for analyzing a target evaluation index suitable for the actual classroom teaching content in the evaluation standard through a large language model based on the extraction result, and determining an evaluation standard query vector through word embedding; and based on the extraction result and the target document block, analyzing the alignment degree between the target document block and the actual classroom teaching content through a large language model, determining a score corresponding to the target evaluation index, and generating a feedback suggestion. According to the invention, the classroom teaching content can be evaluated efficiently and reliably.

This invention provides a method, apparatus, device, and storage medium for generating teaching data. The method includes: acquiring user-inputted unit instructional design requirements; calling a pre-set domain-specific model; acquiring teaching intentions based on the unit instructional design requirements; retrieving knowledge information related to the teaching intentions from a domain knowledge base; calling the domain-specific model; and generating unit instructional design content based on the unit instructional design requirements and the knowledge information related to the teaching intentions. Furthermore, it can generate lesson-level teaching activity content based on the unit instructional design content, and can generate lesson-level teaching activity courseware based on the lesson-level teaching activity content. The teaching data generation method provided by this invention can intelligently generate teaching data, which can be directly used or modified by the user, and can also serve as a reference for the user's instructional data design, thereby greatly reducing the user's burden.

The application belongs to the technical field of digital education, and discloses a teaching design generation method, an electronic device and a readable storage medium. The method comprises the following steps: determining a target prompt; the target prompt carries at least a teaching element; based on the target prompt, a large language model is called to generate a teaching design outline corresponding to the teaching element; from a second intelligent agent deployed on a second device, a third intelligent agent corresponding to each teaching element is called respectively to generate an optimized text corresponding to an initial text corresponding to each teaching element in the teaching design outline; each second intelligent agent can search in a teaching design related knowledge base corresponding to the teaching element; and the teaching design outline and all the optimized texts are integrated to obtain a target teaching design. The method improves the usability of the teaching design generated by the large language model.

The application discloses a teaching assistant system and a related teaching interaction method and device, equipment and a storage medium, wherein the teaching assistant system comprises a pre-class subsystem, a class subsystem and an after-class subsystem. The pre-class subsystem at least comprises a teaching design module, which is used for generating a teaching plan document based on first interaction information of a teacher. The class subsystem comprises a plurality of class interaction modules, which are used for outputting third interaction information for assisting teaching based on second interaction information of at least one of the teacher and students at least in a demonstration process of the teaching plan document. The after-class subsystem at least comprises a teaching analysis module, which is used for analyzing to obtain a learning condition file of different students based on the second interaction information of the students in a teaching process. The above scheme can provide teaching assistance for the teacher in the whole process of pre-class, class and after-class, and help to improve the teaching quality as much as possible from the technical point of view of the teacher teaching.

This invention discloses a digital and intelligent instructional design system and method, relating to the field of online teaching technology. It includes a user center module, a lesson management module, a resource library module, and a teaching center module. The user center module, lesson management module, resource library module, and teaching center module designed in this invention are interconnected and functionally complementary, forming a closed-loop teaching system. Simultaneously, it provides standardized and refined guidance for all aspects of lesson design, covering key content such as student learning analysis, blackboard design, and script writing. This transforms instructional design from fragmented operations into a holistic process planning, solving the problem of traditional platforms only presenting design results without systematic design guidance. Furthermore, a resource recommendation index calculation model is designed, combining keyword matching degree with interactive data such as views, likes, and collections for weighted calculation. A quantitative threshold is set to intelligently determine high-quality resources, allowing search results to be presented in order of quality.

The embodiment of the invention discloses a teaching data analysis method and device, electronic equipment and a storage medium. Teaching data of a target classroom is acquired, wherein the teaching data comprises at least two of teaching design data, multimedia teaching data and teaching effect evaluation data; according to the first time sequence information of the target classroom and the second time sequence information of the teaching data, processing the teaching data to obtain target teaching data corresponding to each teaching link in the target classroom; inputting the target teaching data corresponding to each teaching link into a preset model, so that the preset model processes the target teaching data corresponding to each teaching link to obtain an analysis result for each teaching link of the target classroom; the analysis result comprises at least one of classroom optimization suggestions and new teaching design data. Therefore, various analysis results for the target classroom can be output based on the teaching data of the teaching multi-process through the preset model, and the teaching data analysis efficiency is improved.

The invention provides a BOPPPS teaching design generation method based on teacher and student agent comment interaction, and the method is characterized in that the real teaching interaction process between a teacher and students is simulated through the cooperation of multiple agents, and the automatic generation and personalized optimization of the teaching design content are realized. The method comprises the following steps: constructing a student agent corresponding to each student according to the knowledge level and interest preference of each student so as to obtain a student agent set; constructing a teacher intelligent agent according to a teaching outline corresponding to each class hour in the current teaching course and the learning condition data of the current teaching class; comment interaction between the teacher agent and the student agent is carried out, and a complete teaching design scheme of each class hour in the current teaching course is obtained according to a comment interaction result; therefore, compared with the prior art, the method has higher adaptability and acceptability, the real teaching scene is simulated by making full use of multi-agent cooperation, and therefore teaching design content better meeting the actual requirements of students can be generated.

The invention discloses a generative artificial intelligence-driven teaching design automatic evaluation system, and the system comprises an evaluation system knowledge base which is used for providing a knowledge basis and an objective judgment basis; the evaluation core processing engine is used for scoring teaching design based on an intelligent scoring mechanism of multi-source fusion; the evaluation result and feedback system is used for outputting static scores, generating targeted improvement suggestions by identifying weak links and supporting iterative optimization of teaching design; the method is mainly used for automatic evaluation, feedback and optimization of compulsory education teaching design in ordinary education.

According to some embodiments, a system for providing guided instructional design. The system includes at least one processing device and at least one data storage device in communication with the at least one processing device. The at least one data storage device is configured to store information about at least one course. For each course, the at least one processing device is configured to present at least one predetermined course component to a first user, and for the at least one course component: present at least one course parameter, receive at least one first input from the first user in relation to the at least one course parameter, based on the at least one first input and at least one educational design element, present at least one modified course parameter to the first user; and receive at least one second input from the first user in relation to the at least one modified course parameter.

The invention provides an overseas Chinese differentiation teaching design virtual simulation experiment method and system, and the system comprises a teaching project declaration module which is used for inputting user declaration information, storing the declaration information to a MySQL database, and carrying out the integrity and legality verification of the declaration information through the constraint conditions of the MySQL database; the virtual simulation experiment teaching project module is used for constructing scenes, figures and activity simulation scenes closely related to teaching tasks; constructing a virtual simulation experiment teaching project based on the user declaration information; the system docking module is used for docking with a school virtual simulation experiment management platform and realizing data intercommunication; and the user experience optimization module is used for supporting a real-time image rendering function, an operation prompting function and a user-defined setting function. The operability and practicability of the overseas Chinese virtual simulation teaching system are improved, and the global competency of students and the Chinese learning effect are improved.

The invention provides an AI course aided teaching method and system applying a cognitive large model, and relates to the technical field of educational resources. According to the invention, heterogeneous data analysis and feature extraction are carried out on multi-modal teaching data such as courseware, teaching design, blackboard writing, heavy and difficult micro classes, class hour learning guidance, class hour evaluation, classroom voice, student response texts and interactive behavior logs to obtain multi-modal features, data clustering and mapping are carried out based on the multi-modal features, a standardized resource library is updated, and the teaching quality is improved. Afterwards, aided teaching is carried out by adopting a cognitive large model and a standardized resource library according to different teacher input instructions, so that intelligence and automation of the whole teaching process are realized, the technical problem of low teaching efficiency is solved, and classroom teaching efficiency is improved.

The invention discloses an interactive teaching path planning system and method based on a reinforcement learning agent, and relates to the technical field of artificial intelligence and education, and the system comprises an offline training module which is used for constructing a simulation teaching design environment, and the state space of the simulation teaching design environment comprises a teaching path draft generated by a large language model, the action space comprises a hierarchical teaching instruction for optimizing the teaching path draft, and training a teaching path planning agent through a reinforcement learning algorithm based on a composite reward function to obtain a strategy for optimizing a teaching path; and the online application module is used for receiving the questions submitted by the user, generating an initial teaching path draft through a large language model based on the questions, executing an optimization action on the initial teaching path draft through a teaching path planning agent, and generating an optimal teaching path. According to the invention, an interactive teaching scheme can be automatically generated, and the method has extremely high large-scale application potential and commercial value.

The invention belongs to the technical field of digital education, and discloses a teaching design generation method, electronic equipment and a readable storage medium, and the method comprises the steps: determining a target prompt; the target prompt at least carries teaching elements; calling a large language model based on the target prompt, and generating a teaching design outline corresponding to the teaching elements; respectively calling a third agent corresponding to each teaching element from a second agent deployed in second equipment, and generating an optimized text corresponding to the initial text corresponding to each teaching element in the teaching design outline; each second intelligent agent can perform retrieval in a teaching design related knowledge base corresponding to the teaching elements; and integrating the teaching design outline and all the optimized texts to obtain a target teaching design. According to the method, the usability of teaching design generated through the large language model is improved.