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From One-size-fits-all Teaching to Adaptive Learning: The Crisis and Solution of Education in The Era of AI
Author(s) -
Shudong Yang,
Huiyi Tian,
Lin Sun,
Xueying Yu
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1237/4/042039
Subject(s) - maturity (psychological) , contradiction , learning environment , adaptive learning , mathematics education , psychology , upgrade , computer science , knowledge management , pedagogy , developmental psychology , philosophy , epistemology , operating system
With the change of micro environmental variables such as internet technology, AI technology, the upgrade of education consumption, there has been a profound change in education, and then the value network created by undergraduates, teachers, employers and other stakeholders will be also changed. The crisis faced by education is the multiple trust crises among stakeholders, and the contradiction between the personal needs of undergraduates (personal desire for development, personal maturity cycle, personal growth rate, etc.) and the One-size-fits-all teaching is the main aspect of the multiple trust crises. Therefore, establishing the concept of adaptive learning and shifting the focus of reform from One-size-fits-all teaching to personalized education is the way for educational reform in the future. The reform should firmly establish the principles of cognitive science obeying, interest activating, diversity cultivating, and balance keeping. Evidence-based education, mastery learning, etc. are the core elements of design of adaptive learning environment. The theoretical base of this research is Piaget’s cognitive developmental psychology and adaptive learning theory. It applies educational theories and educational techniques, such as evidence-based education, OBE, mastery learning, etc., to the construction of the adaptive learning environment. It provides an overview of the main modules and algorithms of the environment, with the aim of using the top-level design to enable the hidden functions of education by the soft environment.

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