Smart Learning Partner

This study presents an innovative approach utilizing the Smart Learning Partner (SLP) to enhance students' subject competency development. The study introduces a comprehensive subject competency framework (SCF) that integrates core knowledge, cognitive modes, research contexts, and tasks. SLP’s...

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Published inUses of Artificial Intelligence in STEM Education
Main Authors Wang, Lei, Li, Xijuan, Luo, Jiutong, Wang, Quan, Wang, Cong
Format Book Chapter
LanguageEnglish
Published Oxford Oxford University Press 24.10.2024
Subjects
Online AccessGet full text
ISBN9780198882077
0198882076
DOI10.1093/oso/9780198882077.003.0014

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Abstract This study presents an innovative approach utilizing the Smart Learning Partner (SLP) to enhance students' subject competency development. The study introduces a comprehensive subject competency framework (SCF) that integrates core knowledge, cognitive modes, research contexts, and tasks. SLP’s assessment-learning-teaching system leverages SCF to accurately diagnose, analyze, and support students’ subject competency performance. The system provides personalized recommendations for resources, aiding independent learning. In classroom teaching, SLP assists teachers in setting goals, designing activities, and evaluating performance based on students’ competency profiles. This two-pronged model fosters a shift towards subject competency-oriented education. SLP’s AI techniques offer knowledge tracking, cognitive mapping, and data visualization, further enhancing the assessment-learning-teaching process. The study proposes a holistic model that aligns assessment, learning, and teaching strategies, contributing to effective subject competency development in education.
AbstractList This study presents an innovative approach utilizing the Smart Learning Partner (SLP) to enhance students' subject competency development. The study introduces a comprehensive subject competency framework (SCF) that integrates core knowledge, cognitive modes, research contexts, and tasks. SLP’s assessment-learning-teaching system leverages SCF to accurately diagnose, analyze, and support students’ subject competency performance. The system provides personalized recommendations for resources, aiding independent learning. In classroom teaching, SLP assists teachers in setting goals, designing activities, and evaluating performance based on students’ competency profiles. This two-pronged model fosters a shift towards subject competency-oriented education. SLP’s AI techniques offer knowledge tracking, cognitive mapping, and data visualization, further enhancing the assessment-learning-teaching process. The study proposes a holistic model that aligns assessment, learning, and teaching strategies, contributing to effective subject competency development in education.
Author Wang, Lei
Wang, Cong
Li, Xijuan
Luo, Jiutong
Wang, Quan
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Keywords adaptive learning system
Chinese
Smart Learning Partner
competency-oriented
subject competency framework
Language English
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Snippet This study presents an innovative approach utilizing the Smart Learning Partner (SLP) to enhance students' subject competency development. The study introduces...
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