5 results about "Remote learning" patented technology

The invention provides a gamification learning adaptability adjusting method and device based on an emotional physiological binary network, and belongs to the technical field of informatization education. The method comprises the steps that video data and electroencephalogram data of gamification learning of students are collected through an RGB camera and electroencephalogram equipment; generating facial expression features and electroencephalogram signal features based on the facial image, the electroencephalogram signal and a gamification learning state extractor; according to the facial expression features and the electroencephalogram features, the emotion condition and the physiological condition of the learner are recognized respectively; the self-adaption degree of the student is comprehensively evaluated by taking the emotional condition and the physiological condition as indexes, and a personalized adjustment strategy is provided. According to the method, the emotional state and the physiological state of the student under gamification learning in the remote learning environment are taken as the reference, and the self-adaption degree of the student is accurately described in real time, so that personalized adjustment strategies and feedback suggestions are provided, and teachers and learners are helped to improve the gamification learning effect in the remote learning environment.

Systems and Methods for Adaptive Remote Learning The present application provides a system for interactively training students comprising a course database, a question database, a dialogue module, an AI Bot module, and a personalization database comprising personal attributes of the student, Additionally, there is provided a system for training students comprising a course database, an AI Bot, a knowledge state module, a problem selection module, a quantitative feedback module, and a qualitative feedback module Additionally, there is provided a system for answering questions of students comprising a course database, an AI Bot module, a paraphrase detector module, and a response generation module. There are also provided related methods and program products employed by the systems disclosed in the present application.

The application discloses a learner cognitive state evaluation method, system, device and medium based on voice, and belongs to the technical field of remote learning cognitive evaluation. The method comprises the following steps: collecting reference voice, reading voice and answering voice; separating voice micro-tremor features reflecting voice tremor from the reference voice through LPC and ICA analysis methods; reconstructing voice rhythm control features from the reading voice through Hilbert transform and nonlinear dynamics methods; extracting breathing voice coordination efficiency features of the answering voice through energy envelope analysis and phase coordination calculation; mapping the extracted features into initial scores of four cognitive dimensions of attention, fatigue, psychological load and stress level respectively, and making a comprehensive decision to obtain final scores of the four cognitive dimensions of the learner. The application can deeply mine biological markers affecting cognition from the collected voice data, thereby improving the accuracy of the cognitive state evaluation of the learner in remote learning.

The invention discloses a voice-based learner cognitive state assessment method, system and device and a medium, and belongs to the technical field of remote learning cognitive assessment, and the method comprises the steps: collecting a reference voice, a reading voice and an answering voice; voice micro-tremor features reflecting voice tremor are separated from reference voice through LPC and ICA analysis methods, sounding rhythm control features are reconstructed from reading voice through Hilbert transform and a nonlinear dynamics method, and breathing voice cooperation efficiency features of answering voice are extracted through energy envelope analysis and phase coordination calculation; and respectively mapping the extracted features into initial scores of four cognitive dimensions of attention, fatigue degree, psychological load and stress level, and performing comprehensive decision to obtain final scores of four cognitive dimensions of the learner. According to the method, the biomarkers influencing cognition can be deeply mined from the collected voice data, so that the accuracy of evaluating the cognitive state of the learner in remote learning is improved.

The present application provides a system for interactively training students comprising a course database, a question database, a dialogue module, an AI Bot module, and a personalization database comprising personal attributes of the student, Additionally, there is provided a system for training students comprising a course database, an AI Bot, a knowledge state module, a problem selection module, a quantitative feedback module, and a qualitative feedback module. Additionally, there is provided a system for answering questions of students comprising a course database, an AI Bot module, a paraphrase detector module, and a response generation module. There are also provided related methods and program products employed by the systems disclosed in the present application.