|
Vol.13, No.4, November 2024. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Analyzing the Role of Group Interactions in Deep Learning: Connectivity Patterns and Self-Regulated Learning in University Discussion Forums
Masami Yoshida, Anuchai Theeraroungchaisri
© 2024 Masami Yoshida, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 13, Issue 4, Pages 2703-2714, ISSN 2217-8309, DOI: 10.18421/TEM134-08, November 2024.
Received: 22 May 2024. Revised: 02 September 2024.
Abstract:
As online education continues to gain popularity, it is crucial to analyze the role of group interactions in facilitating individual deep learning. This study explored the connection structure of online discussion forum messages shared by university students. To elucidate the interrelationship between intrapersonal and interpersonal forms of learning in an online environment, messages were classified according to behavioral indicators, elements of self-regulated learning, and types of threshold concepts. To this end, exponential random graph models were employed to reveal the connectivity patterns. A total of 24 messages containing threshold concepts were identified. Notably, these threshold concepts were closely associated with self-reflection in the context of self-regulated learning. Homophily in connections was evident in the metrics pertaining to message content. Messages containing threshold concepts were distributed throughout the community without any noticeable clustering. The diversity of information available within the community highlights the students’ propensity to access personally meaningful information. The community structure did not include an aggregated connection, which is reminiscent of the structure of social networking services. In contrast, the network exhibited a paired-connection structure that was highly conducive to explaining connections to academic content, thereby reinforcing conceptual transformations.
Keywords –Discussion forum, exponential random graph models, global education, self-regulated learning, threshold concept. |
|
----------------------------------------------------------------------------------------------------------- ----------------------------------------------------------------------------------------------------------- |