Online Self-learning Education of College Students Based on Human-computer Interaction Environment
DOI: 10.23977/aetp.2025.090108 | Downloads: 31 | Views: 639
Author(s)
Shuibing Dai 1
Affiliation(s)
1 School of Management, Chongqing University of Science and Technology, Chongqing, China
Corresponding Author
Shuibing DaiABSTRACT
This study aims to investigate the current situation and methods of online self-learning for college students in a human-computer interaction environment, with the objective of enhancing their autonomous learning abilities. The research methods include the introduction of metacognitive strategies, web crawler technology, and a network resource grouping model to address problems such as scattered learning materials and ineffective integration. The study also analyzes the existing issues faced by students in online self-learning, such as low learning efficiency, lack of direction, and weak information retrieval skills. The findings show that over 70% of college students do not have a clear understanding of their ability to learn independently online, while only 23% have mastered effective learning strategies. Additionally, 53% of students report difficulty in completing learning tasks efficiently without supervision. To address these challenges, the paper proposes the design of a learning management system with modules for online learning, performance assistance, and self-learning functionality. The research highlights the need for an integrated system to support students' autonomous learning and improve their learning outcomes through better resource management and enhanced guidance.
KEYWORDS
Online Self-learning; Meta-cognitive Strategies; Human-computer Interaction Environment; Learning Management SystemCITE THIS PAPER
Shuibing Dai, Online Self-learning Education of College Students Based on Human-computer Interaction Environment. Advances in Educational Technology and Psychology (2025) Vol. 9: 60-69. DOI: http://dx.doi.org/10.23977/aetp.2025.090108.
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