Practice Research on Intelligent Self-driven Learning Guided by Core Competencies of High School Students' Physics in the "Cloud Era"
DOI: 10.23977/aetp.2024.080417 | Downloads: 5 | Views: 78
Author(s)
Xia Leng 1
Affiliation(s)
1 Chongqing First High School, Shapingba District, Chongqing, 400000, China
Corresponding Author
Xia LengABSTRACT
This study aims to explore the practical application and effectiveness evaluation of an intelligent self-driven learning model guided by the core competencies of high school students' physics in the context of the "cloud era." Through comprehensive analysis of theory and policy, a student-centered, technology-supported intelligent self-driven learning framework was constructed to deepen classroom teaching reforms, enhance students' core competencies in physics, and serve the comprehensive development of students under the new college entrance examination system. Action research, literature research, and case study methods were employed in this study, and a wide range of empirical data was collected through questionnaire surveys, interviews, observations, and experiments. The results show that the intelligent self-driven learning model can significantly improve students' core competencies in physics, promote the development of their innovation ability and autonomous learning ability, and also provide new exploration paths for teachers' educational and teaching methods.
KEYWORDS
Cloud era; core competencies in physics; intelligent self-driven learning; teaching reformCITE THIS PAPER
Xia Leng, Practice Research on Intelligent Self-driven Learning Guided by Core Competencies of High School Students' Physics in the "Cloud Era" . Advances in Educational Technology and Psychology (2024) Vol. 8: 109-116. DOI: http://dx.doi.org/10.23977/aetp.2024.080417.
REFERENCES
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