Research on the Influence Mechanism of AI Adaptive Learning Systems on Students' Self-Efficacy

Zhao Dongyan; Hamdan Abdul Rahim Bin

doi:10.47297/wspiedWSP2516-250047.20250912

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Research on the Influence Mechanism of AI Adaptive Learning Systems on Students' Self-Efficacy

Volume 9, Issue 12

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Research on the Influence Mechanism of AI Adaptive Learning Systems on Students' Self-Efficacy
Research on the Influence Mechanism of AI Adaptive Learning Systems on Students' Self-Efficacy
Beijing Csg Ecom Technology Co.Ltd., Beijing, 100096, China
Vol. 9, Issue 12, Pages: 218-221(2025)
Published：30 December 2025
DOI：10.47297/wspiedWSP2516-250047.20250912
Accepted：

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Zhao Dongyan,Hamdan Abdul Rahim Bin.Research on the Influence Mechanism of AI Adaptive Learning Systems on Students' Self-Efficacy[J].Journal of International Education and Development,2025,09(12):218-221.
DOI：

Zhao Dongyan,Hamdan Abdul Rahim Bin.Research on the Influence Mechanism of AI Adaptive Learning Systems on Students' Self-Efficacy[J].Journal of International Education and Development,2025,09(12):218-221. DOI： 10.47297/wspiedWSP2516-250047.20250912.

摘要

Abstract

This paper focuses on the influence mechanism of AI adaptive learning systems on students' self-efficacy. Firstly

it elaborates on the core connotations of AI adaptive learning systems

including being learner-centered

data-driven closed-loop mechanisms

and core objectives. Then

it analyzes the current application situations in higher education and vocational education

as well as the development trends of multi-modal learning support and in-depth industry verticalization. By exploring how AI adaptive learning systems influence students' self-efficacy through approaches such as personalized learning paths

instant feedback and dynamic adjustments

and precise delivery of learning resources

it reveals the underlying action mechanisms. This research helps to gain an in-depth understanding of the relationship between AI adaptive learning systems and students' self-efficacy

providing a theoretical basis for educational practice.

关键词

Keywords

references

Zhao Y . Research on the Design of Mathematics Exercise Tutoring Strategies in Adaptive Learning Systems and Their Impact on Students [D ] . Bohai University , 2020 .

Qi X . F. A Brief Discussion on Several Problems Students Encounter in Solving High School Mathematics Problems [J ] . Mathematics Learning and Research , 2019 , ( 23 ): 35 .

Li Z. , Dong X. X. , Zhou D. D. , et al . Research on the Human-Computer Collaborative Construction Method and Application of Knowledge Graphs in Adaptive Learning Systems [J ] . Modern Educational Technology , 2019 , 29 ( 10 ): 80 - 86 .

Li Z. , Zhou D . D. Research on the Conceptual Model and Construction Method of Educational Knowledge Graphs [J ] . Audio-Visual Education Research , 2019 , 40 ( 08 ): 78 - 86+113 .

Yu S. Q. , Peng Y. , Lu Y . The Architecture and Functions of an AI-Based Educational Assistant System - "AI Good Teacher" [J ] . Open Education Research , 2019 , 25 ( 01 ): 25 - 36 .

Li Z. , Zhou D. D. , Dong X. X. , et al . Research Status, Problems, and Countermeasures of Educational Big Data in China - A Content Analysis Based on CNKI Academic Journals [J ] . Modern Distance Education , 2019 , ( 01 ): 46 - 55 .