34 results about "Instructional design" patented technology

The invention provides a teacher teaching ability analysis method and system based on multi-modal data fusion. The method comprises the following steps: acquiring multi-modal data in a teaching process of a teacher, wherein the multi-modal data comprises video, audio and text data; and after preprocessing the data, selecting a matched AI model for analysis according to the data, and generating an evaluation result of the teaching ability of the teacher. Evaluation is based on a plurality of first-level indexes, and comprises lesson mark and teaching material interpretation, teaching design implementation, teaching reflection evaluation, technology fusion teaching and teaching effect evaluation. The system integrates and analyzes multi-modal data by using a cross-modal attention mechanism, and maps teaching behavior characteristics to a multi-dimensional evaluation index. And providing personalized improvement suggestions according to the evaluation result, and regularly collecting and updating data to realize dynamic optimization of the teaching scheme. Through big data analysis and multi-modal fusion, teacher teaching ability evaluation is automatically generated, a teaching improvement scheme with high adaptability is provided, and the teacher teaching effect is effectively improved.

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 an intelligent teaching design method based on educational psychology and a computer device. The method comprises the steps that a learner cognition model is constructed based on collected multi-source behavior data generated in the online learning process of a learner, teaching content and a teaching method are processed based on the model, standardized teaching content feature representation and method feature representation are obtained, and teaching hard constraint and soft constraint conditions are configured in combination with teaching scene requirements; generating a diversified teaching scheme set based on the feature representation and the constraint condition, constructing a multi-task learning framework based on the set, obtaining a multi-dimensional teaching effect prediction model based on the framework, and obtaining a teaching effect evaluation result set corresponding to the candidate teaching scheme based on the model; and optimizing the candidate teaching schemes based on the educational psychology and the teaching effect evaluation result set, and generating a personalized teaching design scheme. The method can meet diversified teaching requirements, can adapt to different learning scenes and can meet diversified requirements of learners.

The invention relates to the technical field of course ideological and political teaching evaluation, and discloses a course ideological and political teaching evaluation method. The course ideological and political teaching evaluation index system is divided into four dimensions of teaching design, teaching practice, teaching effect and later tracking, and different weights are set for each dimension, so that the problem that the evaluation system is single or the standard is not clear is solved. The teaching design clarifies targets, concepts, modes, contents and methods, ensures the combination of ideological and political education and professional courses, and improves the teaching effect. Teaching practice pays attention to execution of plans, content supply, integration modes and digital resources, so that teachers can adjust teaching contents according to requirements, and the influence of courses is enhanced. Teaching effect evaluation comprehensively measures ideological and political education achievements by reflecting teachers, students' thoughts, skill improvement and social practice. The emotion, thought change and workplace recognition degree of students are tracked and evaluated later, teachers are helped to adjust teaching contents, and the continuity and pertinence of courses are improved.

The invention discloses a teaching plan generation method and device, related equipment and a computer program product, a teaching plan of a target course is generated by means of a large model, a step-by-step generation mode is adopted in the generation process, and firstly, a teaching design outline is generated through the large model; and further generating detailed content of each link in the teaching design outline through the large model, and combining to obtain a teaching plan of the target course. Through a step-by-step generation mode, the difficulty of generating a large model each time can be reduced, and it is ensured that the generated teaching plan not only contains an outline, but also contains detailed content of each link, that is, the details of the teaching plan content are ensured. When the teaching design outline is generated, the large model can refer to background knowledge related to the target course and teaching design requirements of the user at the same time, and the accuracy of the generated teaching design outline can be guaranteed. According to the method, the accurate and detailed high-quality teaching plan can be generated, the actual use requirements of front-line teachers are met, the teaching plan does not need to be manually made, and the teaching plan making efficiency is improved.

The invention relates to a digital teaching system based on a multi-mode intelligent technology. A teaching end displays digital content through screen equipment; the control end provides a digital classroom control capability for teachers or assistant teachers through mobile equipment; the student end realizes real-time interaction between students and the digital classroom through a mobile device configured with a voice device; the server is configured with an intelligent knowledge base, analyzes classroom data based on an intelligent algorithm and a big data analysis technology, generates a learning path and recommendation resources according to student conditions, processes questions with the help of natural languages, and drives the whole teaching to operate intelligently. According to the invention, classroom interaction intellectualization can be realized, teaching quality can be improved, multidisciplinary knowledge coverage and dynamic adaptation can be realized based on an intelligent knowledge base, modular course design and dynamic interaction are optimized, dialogue type and touch type interaction modes are fused, popularization application of code-free teaching design is supported, and teaching experience is improved. And classroom effect optimization driven by real-time data, enhanced teaching feedback and long-term improvement are facilitated.

The invention provides an intelligent teaching material generation method, device, equipment, product and system based on a problem chain, and the method comprises the steps: obtaining teaching task information which comprises the course content of a target course and a teaching target; calling a pre-trained large language model to generate a problem chain of the target course based on the teaching task information, and generating a teaching design of the target course based on the problem chain; wherein the question chain comprises a plurality of questions which are used for guiding students to learn the course content and achieve the teaching target and have the association relationship. The problem is intelligently generated through the large language model to solve the guided teaching design, the students can be guided to gradually and deeply learn, the learning interest of the students is stimulated, the teaching process is more orderly and coherent, the students are helped to form a systematic knowledge framework, and the learning effect is improved.

The invention provides a teaching data processing method and apparatus, a device, a medium and a product. The method comprises the steps of obtaining learning feedback data of each student in a class for a first teaching design scheme; according to learning feedback data of each student on the first teaching design scheme, determining a learning condition category corresponding to each student; and obtaining second teaching design schemes corresponding to the students of different learning condition categories in the students according to the learning condition categories corresponding to the students and the second teaching design schemes generated in advance for the students of different learning condition categories, and teaching the students according to the second teaching design schemes. The second teaching design scheme generated for the students of different learning condition categories in advance is generated according to the teaching resource data and a teaching method learned based on a preset teaching model. According to the invention, the adaptation degree between the students and the teaching design scheme can be improved.

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 invention provides a core accomplishment-oriented Chinese teaching design evaluation method and device, and relates to the technical field of data processing, and the method comprises the steps: obtaining Chinese teaching design text data; inputting the Chinese teaching design text data into a pre-trained Chinese teaching design evaluation model to obtain scoring results of the Chinese teaching design text data in multiple dimensions; wherein the Chinese teaching design evaluation model is obtained by training a large language model based on a historical Chinese teaching design text data set through a pre-established Chinese teaching design evaluation system oriented to subject core accomplishment; the Chinese teaching design evaluation system oriented to the subject core accomplishment comprises a plurality of evaluation indexes of multiple dimensions. Through the method provided by the invention, automatic evaluation of Chinese teaching design is realized, and teachers are assisted in improving teaching design quality and teaching level.

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 invention relates to the technical field of large models, and particularly provides a teaching optimization scoring method and system based on a large model, and the method comprises the following steps: S1, collecting a certain number of teaching design cases, and carrying out the preprocessing of the design cases; and S2, carrying out feature extraction on the preprocessed teaching design cases by using the large model to obtain a feature vector of each case, and determining key evaluation points in teaching design through multi-round manual coincidence on the feature vectors. And S3, marking scores of a large number of teaching design data sets, training a teaching design scoring model, and predicting the score based on the feature vector of the teaching design to provide guidance and help for young teachers and normal teachers. Compared with the prior art, the method can solve the problems that traditional teaching design excessively depends on personal experience and intuition of teachers and lacks judgment criteria of relative consistency, the understanding of young teachers and normal teachers on teaching materials lacks depth, is restricted by linear thinking and analytical thinking, and lacks systematic thinking and systematic consideration.

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.

The invention provides a vocational education course teaching design system based on artificial intelligence, and relates to the technical field of artificial intelligence. The design system comprises a course development module, a course progress design module, a course content design module and a feedback optimization module. And the course development module is used for developing a course module and a situational learning task according to the work post requirement corresponding to the course. The course progress design module is used for setting the teaching progress. The course content design module is used for constructing an analysis model based on a neural network and outputting the proportion, duration and sequence of professional content and non-professional content. And the feedback optimization module is used for updating the course content in real time. Different teaching modules and teaching schedules are respectively set for timed teaching and non-timed teaching, and adaptive teaching contents are respectively set according to basic information of each user and selected vocational education courses by adopting an analysis model based on a decision tree, so that personalized customization and high-efficiency teaching of the vocational education courses are realized.

1. The name of this design product: A graphical user interface for an electronic device that generates a chain of questions based on learning situations. 2. Purpose of this design product: an electronic device. 3. The key design point of this design product lies in the graphical user interface. 4. The picture or photo that best illustrates the design points: Changing state diagram 6. 5. Purpose of the graphical user interface: used to generate question chains and teaching design outlines based on learning situations. 6. Human-computer interaction mode of the graphical user interface: At the bottom of the main view is the request content recognition input bar, where the teaching design request content can be input by text or voice. After inputting the request content, click the arrow icon on the right side of the bar to enter the changing state diagram 1. The interface intelligently generates relevant learning situation reports based on the recognized content. Click "View details" in the changing state diagram 1 to enter the learning situation report details interface of the changing state diagram 2. Click "Generate question chain" in the lower right corner of the changing state diagram 2. The interface automatically enters the changing state diagram 3, changing state diagram 4, changing state diagram 5, and changing state diagram 6 in turn to automatically generate a question chain. In the changing state diagram 6, according to the prompt content of the prompt box at the bottom of the interface, click to select a core question to enter the changing state diagram 7. Click "Generate teaching design" on the right side of the prompt box in the changing state diagram 7. The interface will intelligently generate a teaching design outline based on the learning situation problem chain. 7. Other situations that require explanation: The gray-filled area in each view is the content screen.

The invention discloses a teacher teaching design generation system based on a large model, which belongs to the technical field of teaching management and comprises a student analysis module, a class analysis module and a teaching design module. The student analysis module is used for carrying out real-time classification analysis on students in the whole school and determining learning classifications corresponding to the students; the class analysis module is used for carrying out teaching analysis on students of each class and determining teaching condition data of each subject of the corresponding class; the teaching design module is used for generating teaching design meeting the teaching requirements of teachers and identifying the teaching requirements of the teachers; matching corresponding teaching condition data according to teaching requirements of teachers; identifying teaching subject information corresponding to the teaching demand of the teacher; the teaching subject information and the teaching condition data are analyzed through a preset teaching large model, a plurality of teaching designs to be selected are obtained, the teaching designs to be selected are displayed to a teacher, and the teacher selects the corresponding teaching design to be selected as the teaching design of the application.

The invention relates to the technical field of virtual simulation teaching, and discloses a bank protection engineering teaching design and construction integration system, method, device and equipment, and the system comprises a teaching control instruction module which issues a teaching task instruction; the data processing server runs the teaching task instruction, coordinates bank protection project three-dimensional model design based on the teaching task instruction, and simulates a bank protection project construction process and a teaching interaction process; the three-dimensional modeling and simulation platform generates a bank protection project three-dimensional model based on the teaching task instruction, the BIM modeling technology and the bank protection structure parameters, and simulates a bank protection project construction process based on the bank protection project three-dimensional model and the construction resource parameters; and the teaching interaction terminal provides an immersive operation environment based on the teaching task instruction, the bank protection project three-dimensional model and the construction process, and adopts an input instruction tool to carry out real-time teacher-student interaction and multi-person cooperation. According to the invention, visualization, simulation and teaching of bank protection engineering design and construction are realized through a three-dimensional digital technology.

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.