Artificial Intelligence Enables Junior Science Experiment Teaching Management: a Study on the Path of Ideological and Political Education and Psychological Collaborative Education for Head Teachers
Abstract
In the context of educational intelligence, artificial intelligence has demonstrated significant importance in managing junior high school science experiment teaching. Through analyzing current conditions and theoretical research, this paper explores pathways for AI-empowered management of science experiment teaching that integrates ideological-political education and psychological collaborative education for homeroom teachers. Case studies demonstrate that this management model enhances junior high students 'grasp of scientific knowledge, thereby promoting science education and fostering students' comprehensive development.
Keywords
Artificial intelligence; Junior high school science experiment; Teaching management; Head teacher; Ideological and political education; Psychological counseling
Full Text:
PDFReferences
[1] Barbosa N , Santiago R , Medrado R ,et al.Exploratory analysis of a real wind turbine dataset, using AI tools to cluster and classify data, for condition monitoring and fault detection[J].Concilium, 2023.
[2] Zhang W .Psychological Counseling Ability of College Ideological and Political Educators Based on Root Theory Exploration of Structure[J].SHS Web of Conferences, 2023, 171(000):5.
DOI: http://dx.doi.org/10.70711/cle.v2i7.7621
Refbacks
- There are currently no refbacks.
