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CN-122000040-A - Teenager development comprehensive evaluation model building method and system

CN122000040ACN 122000040 ACN122000040 ACN 122000040ACN-122000040-A

Abstract

The invention discloses a system for generating a personalized intervention scheme based on teenager development comprehensive evaluation, which comprises a terminal side, a cloud platform and a hierarchical platform, wherein the terminal side is used for acquiring teenager physiological behavior data, core cognitive ability data, physical quality data and psychological data and receiving the personalized intervention scheme aiming at teenager growth, the cloud platform is used for processing the teenager physiological behavior data, the core cognitive ability data, the physical quality data and the psychological data acquired by the terminal side and generating the personalized intervention scheme for teenager growth according to a processing result, and the hierarchical evaluation and prediction from physiological basis to psychological regulation to capacity expression can be realized through a nonlinear mapping function, and personalized course recommendation and psychological adaptation scheme generation can be realized.

Inventors

  • YU YUE
  • MA YING
  • Chang Yuni

Assignees

  • 北京成长加科技发展有限公司

Dates

Publication Date
20260508
Application Date
20250928

Claims (10)

  1. 1. A system for generating a personalized intervention program based on a comprehensive assessment of juvenile development, comprising: a terminal side (100) for collecting teenager physiological behavioral data, core cognitive ability data, physical fitness data, and psychological data and receiving personalized intervention programs for teenager growth; The cloud platform (200) is used for processing the teenager physiological behavior data, the core cognitive ability data, the physical quality data and the psychological data acquired by the terminal side (100) and generating the teenager growth personalized intervention scheme according to the processing result; The distal platform (200) comprises: A data integration module (210) that integrates the physiological behavioral data, core cognitive ability data, physical fitness data, and psychological data into a multi-dimensional assessment dataset for assessment; A multi-dimensional assessment model (220) for dynamic assessment using the multi-dimensional assessment dataset; A prediction module (230) for predicting the mental health risk and the potential development track of the teenager according to the dynamic evaluation result output by the multi-dimensional evaluation model (220); and an intervention strategy generation module (240) for generating and transmitting the personalized intervention scheme to the terminal side (100) according to the prediction result output by the prediction module (230).
  2. 2. The system for generating personalized intervention programs based on the adolescent development comprehensive assessment of claim 1, the terminal side (100) comprising: a physiological behavior data acquisition module (110) for acquiring teenager physiological behavior data including brain wave EEG data, heart rate variability HRV data; A core cognitive ability data acquisition module (120) for acquiring teenager core cognitive ability data, the teenager core cognitive ability data including visual sensory test data, auditory sensory test data, selective attention data, continuous attention data, alternating attention data, distributed attention and reactive attention test data, sensory memory test data, working memory test data, and long-term memory test data; a physical fitness data acquisition module (130) for acquiring teenager physical fitness data including school daily fitness performance data; a mental data collection module (140) for collecting mental data of teenagers including mental health, personality traits; The receiving and transmitting module is used for sending data to the cloud platform (200) and receiving the personalized intervention scheme successfully by the cloud platform (200).
  3. 3. The system for generating personalized intervention programs based on comprehensive evaluation of adolescent development according to claim 1, said multi-dimensional evaluation model (220) being built by non-linear function g and non-linear function f from physiological including brain cognition, physical attributes, to psychological including mental toughness, mental health, to multi-level progressive mapping models including practical competency, social competency, and multivariate potential.
  4. 4. The system for generating personalized intervention programs based on the adolescent development comprehensive assessment of claim 3, the multi-tiered progressive mapping model comprising: A physiological base layer for assessing brain core cognitive ability and physical fitness; The psychological adjusting layer is mapped by the physiological basic layer through the nonlinear function g and is used for analyzing psychological toughness quantization indexes, psychological health state quantization indexes and individual characteristic quantization indexes; The capacity expression layer is mapped by the psychological adjustment layer through a nonlinear function f and is used for predicting practical capacity, social capacity, multiple potential and personality characteristics; The multi-element potential layer is obtained by mapping a psychological adjusting layer through a nonlinear function f and is used for predicting the potential of language intelligence, logic mathematic intelligence, space intelligence, physical kinesthesia intelligence, music intelligence, interpersonal intelligence, self-cognition intelligence and natural cognition intelligence.
  5. 5. The system for generating personalized intervention programs based on the adolescent development comprehensive assessment of claim 4, wherein the physiological basal layer assessed brain core cognitive abilities comprise vision, hearing, attention, memory, and the physiological basal layer assessed physical attributes comprise five items of sleep quality, cardiopulmonary function, motor coordination and height, weight, NMI index, and foundation.
  6. 6. The system for generating personalized intervention programs based on comprehensive evaluation of teenager development according to claim 4, wherein the feature alignment algorithm and PCA are adopted to reduce dimension, and multi-modal data fusion is performed on heterogeneous data of brain core cognitive abilities, HRVs, physical quality, psychological toughness, psychological wellbeing and multi-modal potentials output by the multi-dimensional evaluation model (220) to obtain multi-modal fusion data.
  7. 7. The system for generating personalized intervention programs based on the comprehensive teenager development assessment of claim 6, wherein the prediction module (230) predicts the mental health risk and potential development trajectories by logistic regression and K-means clustering of the multimodal fusion data.
  8. 8. The system for generating personalized intervention programs based on a comprehensive assessment of juvenile development of claim 7, the intervention policy generation module (240) generating personalized course recommendations and psychological adaptation schemes based on reinforcement learning RL.
  9. 9. A comprehensive evaluation model building method for teenager development comprises a multi-level progressive mapping model, which is built through a nonlinear function g and a nonlinear function f, from physiology comprising brain cognition and physical quality, psychology comprising psychological toughness and psychological health, to psychology comprising practical ability, social ability and multiple potential.
  10. 10. The adolescent development comprehensive assessment model building method according to claim 9, said multi-level progressive mapping model comprising: A physiological base layer for assessing brain core cognitive ability and physical fitness; The psychological adjusting layer is mapped by the physiological basic layer through the nonlinear function g and is used for analyzing psychological toughness quantization indexes, psychological health state quantization indexes and individual characteristic quantization indexes; The capacity expression layer is mapped by the psychological adjustment layer through a nonlinear function f and is used for predicting practical capacity, social capacity, multiple potential and personality characteristics; The multi-element potential layer is obtained by mapping a psychological adjusting layer through a nonlinear function f and is used for predicting the potential of language intelligence, logic mathematic intelligence, space intelligence, physical kinesthesia intelligence, music intelligence, interpersonal intelligence, self-cognition intelligence and natural cognition intelligence.

Description

Teenager development comprehensive evaluation model building method and system Technical Field The invention relates to the technical field of education evaluation and mental health monitoring, in particular to a method and a system for establishing a comprehensive evaluation model for teenager development. Background While adolescents are faced with multiple challenges such as academic stress, mental health crisis, network dependence, etc., traditional psychological assessment mainly relies on subjective static scales (e.g., PHQ-9, GAD-7, MHT, EPQ-C, etc.) and manual observation feedback, and limitations of the prior art include: 1. the subjectivity is strong, the experience and judgment of an evaluator are relied on, and the result is easily influenced by subjective deviation. 2. The data is single, namely, the data is obtained only through questionnaires or behavioral observation, and the multidimensional degree such as physiology, psychology and the like cannot be covered comprehensively. 3. Insufficient dynamic performance, and can not track the change trend of teenagers in the growth process in real time. 4. The prediction capability is insufficient, the capability development assessment mainly depends on subjective assessment of teachers, lacks objective quantitative indexes, and has serious deficiency of early prediction capability on psychological problems (such as learning anxiety and personal anxiety) and potential development. With the development of artificial intelligence technology, the application of multi-modal data fusion (such as physiological signals and behaviors), machine learning and deep learning models provides a new thought for teenager growth assessment. However, the prior art has not formed a systematic multi-layered progressive assessment framework, which has difficulty covering the full chain assessment needs from the physiological basal layer multipotent. Therefore, there is a need for a systematic solution that can integrate multimodal data, achieve dynamic assessment and personalized intervention advice. Disclosure of Invention The invention aims to provide a method and a system for establishing a comprehensive evaluation model for teenager development, which are used for solving the defects in the prior art. According to a first aspect of the present invention, a system for generating a personalized intervention program based on a comprehensive evaluation of teenager development, comprises: a terminal side for collecting teenager physiological behavior data, core cognitive ability data, physical quality data and psychological data and receiving personalized intervention schemes for teenager growth; the cloud platform is used for processing the physiological behavior data, the core cognitive ability data, the physical quality data and the psychological data of the teenagers acquired by the terminal side and generating the individual intervention scheme for the growth of the teenagers according to the processing result; The remote platform comprises a data integration module for integrating the physiological behavior data, the core cognitive ability data, the physical quality data and the psychological data into a multi-dimensional evaluation data set for evaluation, a multi-dimensional evaluation model for dynamic evaluation by utilizing the multi-dimensional evaluation data set, a prediction module for predicting the mental health risk and the potential development track of the teenager according to the dynamic evaluation result output by the multi-dimensional evaluation model, and an intervention strategy generation module for generating and transmitting the personalized intervention scheme to a terminal side according to the prediction result output by the prediction module. Preferably, the terminal side comprises a physiological behavior data acquisition module for acquiring teenager physiological behavior data comprising brain wave EEG data and heart rate variability HRV data, a core cognition capability data acquisition module for acquiring teenager core cognition capability data comprising visual sensation test data, auditory sensation test data, selective attention data, continuous attention data, alternate attention data, distributed attention and reaction attention test data, sensory memory test data, working memory test data and long-term memory test data, a physical quality data acquisition module for acquiring teenager physical quality data comprising school daily body side performance data, a psychological data acquisition module for acquiring teenager psychological data comprising psychological health and personality characteristics, and a transceiver module for transmitting data to a cloud platform and receiving the personalized intervention scheme by the cloud platform successfully. Preferably, the multi-dimensional assessment model is a multi-level progressive mapping model established by a nonlinear function g and a nonlinear function f from physiology inc