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The impact of AI-Based adaptive learning technologies on motivation and engagement of higher education students

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成果类型:
期刊论文
作者:
Zhou, Cong;Ren, Tefu;Lang, Lin
通讯作者:
Zhou, C
作者机构:
[Zhou, Cong] Hunan City Univ, Teacher Educ Coll, Yiyang, Hunan, Peoples R China.
[Ren, Tefu] Natl Univ Def Technol, Basic Educ Coll, Changsha, Hunan, Peoples R China.
[Lang, Lin] Hunan Univ Finance & Econ, Sch Informat Technol & Management, Changsha, Hunan, Peoples R China.
通讯机构:
[Zhou, C ] H
Hunan City Univ, Teacher Educ Coll, Yiyang, Hunan, Peoples R China.
语种:
英文
关键词:
Academic performance;Artificial intelligence;Demographic factors;Engagement;Intelligent tutoring systems;Motivation;Personalized learning
期刊:
Education and Information Technologies
ISSN:
1360-2357
年:
2025
页码:
1-18
基金类别:
(1) Project of Hunan Provincial Department of Education 23B0740. (2) Research Project on Teaching Reform of General Higher Education Institutions in Hunan Province HNJG-20231017. (3) General Project of the National Social Science Fund 24BJL074.
机构署名:
本校为第一且通讯机构
摘要:
In today's world, where digital technologies are integral to education, studying the effectiveness of Intelligent Tutoring Systems (ITS) is vital for optimizing learning. This study evaluates the Squirrel AI Learning platform's impact on motivation and engagement among higher education students in Shanghai. A survey was conducted with students using Squirrel AI alongside traditional curricula (experimental group, n = 153) and those using only traditional methods (control group, n = 160). The Motivation and Engagement Scale measured outcomes, and an independent t-test compared group differences...

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