Examining Students’ Self-Regulation Skills, Confidence to Learn Online, and Perception of Satisfaction and Usefulness of Online Classes in Three Suggested Online Learning Environments that Integrates ChatGPT

Authors

  • Bilal Khallel Younis Palestine Technical University Kadoorie

DOI:

https://doi.org/10.24059/olj.v28i2.4397

Abstract

This study aims to investigate students’ self-regulation skills, confidence to learn online, and perception of satisfaction and usefulness of online classes in three learning environments that integrates ChatGPT. In this study, a quasi-experiential design was used to compare three online learning environments that integrate ChatGPT (independent, peer, and group). A total of 100 undergraduate students were randomly assigned to these three groups. Three questionaries’ were used for data collection. The results showed that the self-regulation levels were high among the participants in these three online ChatGPT groups. However, learning in peer and group environments were more effective in developing self-regulation skills than learning independently. This research also found that the participants in the peer and group learning environments had high levels of confidence to learn online compared to the participants in the independent group. The results also showed that the participants in the peer learning group had the highest scores of perception of satisfaction and usefulness of online classes compared to the participants in the independent and group learning environments. The findings of this study support the notion that integrating ChatGPT within peer groups can enhance students' perception of satisfaction and usefulness of online classes. Educators should explore ways to leverage ChatGPT to facilitate meaningful interactions and collaboration among students, thereby increasing their satisfaction and engagement with online learning materials and activities.

Author Biography

Bilal Khallel Younis, Palestine Technical University Kadoorie

Acoss. Prof

Technology Education Department

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Published

2024-06-01

Issue

Section

Online and Blended Learning in the Age of Generative AI