15 results about "Digital learning" patented technology

The invention relates to the technical field of education big data analysis, in particular to a student information intelligent management system based on big data, comprising a data convergence module used for converging multi-source heterogeneous behavior data streams of target students in campus Internet of Things and interaction logs of the target students in a digital learning platform in real time to obtain an original time sequence data vector set; and the feature generation module is used for carrying out cross-modal time domain alignment and wavelet coherent transformation on the original time sequence data vector set so as to generate a multi-scale spatial-temporal feature map representing the individual learning and living states of the students. According to the invention, global network time protocol synchronization timestamp synchronization and Kalman filtering interpolation are introduced through the data aggregation module, and the feature generation module adopts remoley wavelet transform and wavelet coherence spectrum analysis, so that the phase locking relationship of online interaction and offline behaviors of students on a time-frequency domain can be quantified; therefore, the learning and living states of the students can be more comprehensively described.

5 Embodiments disclose a system and method for simplifying access and viewing of a variety of digital learning meta resources. Utilizing advanced filtration based on categorized resource data, the system efficiently organizes content for effortless retrieval. It provides users with a personalized approach to accessing educational 10 digital resource content, thereby improving accessibility and organization within digital meta learning materials. The available resources encompass images, sets of related pictures, various types of videos such as teaching and concept videos, keywords, tables, and more. With its innovative filtering features, the system aims to revolutionize the learning experience, making education more accessible, engaging, 15 and impactful for students worldwide.

Provide teaching aids for digital learning. 【Solution means】It includes unit cards with numbers and the readings of those numbers. The unit cards include a plurality of single - unit cards 10 with numbers from 1 (one, ichi) to 9 (nine, kyu / ku) written on the upper part and the readings written on the lower part; a plurality of ten - unit cards 20 with a number in the tens place where the first digit is from 1 (one, ichi) to 9 (nine, kyu / ku) and the remaining digits are 0 (zero, rei) written on the upper part and the reading written below the first digit; a plurality of hundred - unit cards 30 with a number in the hundreds place where the first digit is from 1 (one, ichi) to 9 (nine, kyu / ku) and the remaining digits are all 0 (zero, rei) written on the upper part and the reading written below the first digit; a plurality of thousand - unit cards 40 with a number in the thousands place where the first digit is from 1 (one, ichi) to 9 (nine, kyu / ku) and the remaining digits are all 0 (zero, rei) written on the upper part and the reading written below the first digit; a plurality of ten - thousand - unit cards 50 with a number in the ten - thousands place where the first digit is from 1 (one, ichi) to 9 (nine, kyu / ku) and the remaining digits are all 0 (zero, rei) written on the upper part and the reading written below the first digit. When at least two or more of the single - unit cards to ten - thousand - unit cards are arranged in units, the readings of each unit card are arranged out of alignment with each other, forming the reading corresponding to the number combined by each unit card. This enables children to utilize the units to read numbers and easily acquire the magnitude of the numbers.

The invention relates to the field of virtual simulation, in particular to a graphic design course virtual simulation training system based on digital learning, original images are accessed in a mode of intercepting actual graphic design images in simulation tools, and therefore the system can adapt to various systems, tools and use scenes. After an original image is accessed, an image segmentation model is utilized to segment the original image, then various target features associated with various style changes in the segmented image are extracted, and a style feature vector is formed. And matching the style feature vector with a pre-constructed style feature template library to obtain the most similar target structured data. Therefore, similar design styles, similarities, style descriptions, typical cases and the like of the original image can be output for students. In addition, the original image is further optimized by using the generative adversarial network, so that the optimized image of the corresponding style can be output. Therefore, students are helped to understand and learn the characteristics of various graphic design styles.

The invention relates to a method for providing a learning platform that is digitally stored and used. The method includes reading in initial platform configuration data using a platform input device. Furthermore, the method includes reading in additional platform configuration data using a platform input device. The initial platform configuration data includes general data for the structure of the learning platform, while the additional platform configuration data includes individual data for the customized structure of the learning platform and is dependent on the authentication of a learning platform user.Furthermore, the process involves building the learning platform based on the initial platform setup data and subsequent platform setup data, such that a digital, interactive, and individualized visualization of the learning platform is created. This visualization allows authenticated learning platform users to interact with and / or access digital learning content. The digital learning content includes static and / or dynamically generated documents, and / or at least some documents protected against alteration. This entire process is executed automatically.

This invention relates to the interdisciplinary field of artificial intelligence and educational technology, and proposes a multi-agent-based companion learning method and system. The method includes: acquiring learning behavior data for learning situation analysis; calculating the probability of students mastering knowledge points based on item response theory; inferring students' learning emotional state through dialogue content in learning interactions; updating the memory module of the digital learning companion agent based on the learning situation analysis results, the probability of mastering knowledge points, and the learning emotional state, and then recommending matching practice questions; and generating personalized learning paths for students through a constructed digital tutor agent. This invention, based on the collaborative updating of the digital learning companion agent and the digital tutor agent, achieves dynamic generation of practice question recommendations and personalized learning paths, thereby improving the accuracy, continuity, and adaptability of learning support.

The invention relates to the technical field of artificial intelligence and education technology crossing, and provides a multi-agent-based syndrome learning method and system, and the method comprises the steps: obtaining learning behavior data, and carrying out the learning condition analysis; based on the project reaction theory, calculating the mastering probability of the students on the knowledge points; inferring the learning emotional state of the student through the dialogue content of the learning interaction; according to the learning condition analysis result, the mastering probability of the knowledge points and the learning emotional state, a memory module of the digital learning accompanying agent is updated, and then matched exercises are recommended; and generating a personalized learning path of the student through the constructed digital tutor agent. According to the invention, based on collaborative updating of the digital learning accompanying agent and the digital tutor agent, exercise recommendation and dynamic generation of a personalized learning path are realized, so that the accuracy, continuity and adaptivity of learning support are improved.

A method and system for digital learning materials that offer an advanced audio-visual interactive experience tailored for foundation courses, language speaking courses, and similar educational contexts. The core aspect of this invention is the integration of audio-visual elements to enhance the learning experience, students can engage with multimedia resources that combine auditory and visual stimuli. This approach caters to diverse learning preferences and promotes better comprehension and retention. To reinforce learning and gauge comprehension, the system includes various exercises and self-assessment tools like quizzes, interactive puzzles, word games, and speaking exercises for language learners. The exercises are designed to be engaging and interactive, encouraging active participation. A key innovation is the integration of audio prompts and feedback within the exercises. Students may listen to audio instructions and record their answers using a microphone. Similarly, audio feedback is provided immediately after completing an exercise, offering reinforcement and guidance.

The present invention relates to an apparatus and a method for managing internet gaming disorder, wherein the apparatus comprises: a data collection unit that monitors a digital learning process on a user terminal to collect multimodal data related to user behaviors; a data analysis unit that removes noise from the multimodal data and analyzes the multimodal data to detect at least one digital indicator associated with internet gaming disorder of the user; and an internet gaming disorder detection unit that determines, on the basis of the at least one digital indicator, the presence and level of internet gaming disorder of the user in the digital learning process.

The present invention relates to a digital phenotyping-based depression analysis device and method, the device comprising: a data collection unit for monitoring a digital learning process on a user terminal so as to collect multimodal data related to finger or stylus pen use-related behavior of a user; a data analysis unit for analyzing the multimodal data so as to detect at least one digital marker associated with a symptom of depression of the user; and a depression identification unit for determining the severity of the symptom of depression of the user and whether the user has depression in the digital learning process on the basis of the at least one digital marker.

The application discloses a kind of learner emotion intelligent identification method based on multimodal adaptive fusion network, its characteristics are that the method includes: acquisition learner in the multimodal data of digital learning process, through cross-modal semantic supervision module, the semantic enhancement of single modal feature is carried out, so that each mode can still obtain supplementary emotional representation when there is noise or insufficient information;Using information adaptive fusion module, according to the difference of modal contribution degree of different emotional categories, dynamically allocate weight, realize the adaptive fusion of multimodal features;Finally, the features after fusion are input into the classifier, and the emotional state of the learner is output.The application has the advantages of high recognition accuracy, strong adaptability and outstanding application value in education scene compared with the prior art, realizes the intelligent identification of learner emotion, adjusts the teaching strategy according to the identification result, improves the personalized learning level, solves the problems of insufficient feature expression, inflexible fusion mode and poor education application adaptability.

Presented is a method and system for digital learning materials that offer an advanced audio-visual interactive experience tailored for foundation courses, language speaking courses, and similar educational contexts. The core aspect of this invention is the integration of audio-visual elements to enhance the learning experience, students can engage with multimedia resources that combine auditory and visual stimuli. This approach caters to diverse learning preferences and promotes better comprehension and retention. To reinforce learning and gauge comprehension, the system includes various exercises and self-assessment tools like quizzes, interactive puzzles, word games, and speaking exercises for language learners. Exercises are designed to be engaging and interactive, encouraging active participation. A key innovation is the integration of audio prompts and feedback within the exercises. Students may listen to audio instructions and record their answers using a microphone. Similarly, audio feedback is provided immediately after completing an exercise, offering reinforcement and guidance.

The invention relates to the technical field of enterprise informatization management training, in particular to an enterprise digital learning training management platform based on AI and big data analysis, which comprises a production data interface module; the context-aware synchronization engine is used for receiving and analyzing the production context data, and dynamically identifying at least one target training theme related to the current or recent production activity according to a preset rule or model; the AI enhancement decision module is used for responding to the recognized target training theme and executing the following operations: based on the target training theme, retrieving and matching at least one associated training resource unit from the learning resource library module; and generating an enabling instruction comprising at least one training resource unit based on a predefined or dynamically calculated push strategy, and a client interaction module. According to the invention, production context can be sensed in real time, personalized learning is dynamically driven, and quantifiable verification and closed-loop optimization of the training effect at the production side are realized.

This invention discloses a method and system for assessing the digital literacy of the elderly based on a credit bank, specifically relating to the fields of digital education and elderly services. The method includes: S1, collecting multi-dimensional behavioral data from elderly users; S2, generating a dynamic credit profile based on a multi-dimensional model incorporating security and risk control capabilities, using weighted moving average, standard deviation, and trend analysis; S3, converting ability scores and preset key behavioral events into digital literacy credits, and utilizing blockchain technology to achieve trusted credit storage and consistent account updates; S4, providing physical service redemption based on credits, and pushing personalized learning feedback based on the profile's weaknesses. The system includes modules for multi-source data collection, digital literacy assessment, credit bank processing, and incentive feedback. This invention achieves dynamic and accurate assessment, trusted credit authentication, and an incentive closed loop, effectively improving the digital learning participation and literacy level of the elderly.