Contents

Effects of AI-Based Personalized Adaptive Learning System in Higher Education

인공지능 기반으로 맞춤 및 적응형 학습 시스템의 고등 교육에서의 적용효과

Cho, Yoon Cheong

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Abstract

The purpose of this study is to investigate the effects of assessment by adopting adaptive learning in higher education that are rarely examined in previous studies. In particular, this study applied research questions: 1) How does technical perception, perceived contents and features, and perceived integration of the AI-based adaptive system with lecture affect overall satisfaction, overall effectiveness, overall usefulness, overall motivation for the study, and intention to use it with other classes? 2) How do overall satisfaction, overall effectiveness, overall usefulness, motivation for the class, and intention to use affect loyalty on the AI-based adaptive system? This study conducted online surveys after the completion of the classes adopted AI-based adaptive learning system, ALEKS. This study applied ANOVA, regression, and factor analyses. The results of this study found that perceived integration of the AI-based adaptive learning system with the lectures on overall satisfaction, effectiveness, motivation, and intention to use for other classes showed significant with higher effect size. The results of this study provides implication that the AI-based learning system help improve learning outcomes in graduate level studies. The results provide policy and managerial implications that the AI-based adaptive learning system should improve better customer relationships in higher education.

Issue Date
2022-08
Publisher
한국정보교육학회
Keywords(Author)
인공지능 기반 맞춤형 적응형 학습; 고등교육; 고객관계관리; 만족도; 충성도; AI-Based Adaptive Learning; Higher Education; Customer Relationship Management; Satisfaction; Loyalty
URL
https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002871657
Journal Title
정보교육학회논문지
Start Page
249
End Page
263
ISSN
1229-3245
Language
English
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