A Study on the Influencing Factors of Teaching Interaction on Deep Learning from the Perspective of Social Cognitive Theory

Article ID

0SW91

Alt text: Study on teaching influences on social cognition and developmental research insights.

A Study on the Influencing Factors of Teaching Interaction on Deep Learning from the Perspective of Social Cognitive Theory

Lan Hong
Lan Hong Chongqing Normal University
Yan Ma
Yan Ma
Xi Mei Yang
Xi Mei Yang
Ren Ju Tang
Ren Ju Tang
DOI

Abstract

Based on Social Cognitive Theory (SCT), a research model is constructed with teaching interaction as the independent variable, self-efficacy as the mediating variable, and Deep learning as the dependent variable. The research uses regression analysis and Bootstrap test to explore the impact of teaching interaction on college students’ Deep learning and the mediating role of self-efficacy. The research results show that: teaching interaction positively and significantly affects college students Deep learning and self- efficacy, of which material-chemical interaction has the most significant effect on college students Deep learning (β=0.431); self-efficacy positively affects college students’ Deep learning (β=0.255), and play a partial mediating role in teaching interaction and Deep learning. Finally, the research proposes to build a multi-modal interaction mechanism to promote the realization of Deep learning; to create an embodied collaborative learning context to improve the quality of teaching interaction; Learn and reference.

A Study on the Influencing Factors of Teaching Interaction on Deep Learning from the Perspective of Social Cognitive Theory

Based on Social Cognitive Theory (SCT), a research model is constructed with teaching interaction as the independent variable, self-efficacy as the mediating variable, and Deep learning as the dependent variable. The research uses regression analysis and Bootstrap test to explore the impact of teaching interaction on college students’ Deep learning and the mediating role of self-efficacy. The research results show that: teaching interaction positively and significantly affects college students Deep learning and self- efficacy, of which material-chemical interaction has the most significant effect on college students Deep learning (β=0.431); self-efficacy positively affects college students’ Deep learning (β=0.255), and play a partial mediating role in teaching interaction and Deep learning. Finally, the research proposes to build a multi-modal interaction mechanism to promote the realization of Deep learning; to create an embodied collaborative learning context to improve the quality of teaching interaction; Learn and reference.

Lan Hong
Lan Hong Chongqing Normal University
Yan Ma
Yan Ma
Xi Mei Yang
Xi Mei Yang
Ren Ju Tang
Ren Ju Tang

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Lan Hong. 2026. “. Global Journal of Human-Social Science – G: Linguistics & Education GJHSS-G Volume 22 (GJHSS Volume 22 Issue G10): .

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Journal Specifications

Crossref Journal DOI 10.17406/GJHSS

Print ISSN 0975-587X

e-ISSN 2249-460X

Issue Cover
GJHSS Volume 22 Issue G10
Pg. 57- 68
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GJHSS-G Classification: DDC Code: 701.8 LCC Code: ND1489
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A Study on the Influencing Factors of Teaching Interaction on Deep Learning from the Perspective of Social Cognitive Theory

Lan Hong
Lan Hong Chongqing Normal University
Yan Ma
Yan Ma
Xi Mei Yang
Xi Mei Yang
Ren Ju Tang
Ren Ju Tang

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