Groups Allocation Based on Sentiment-Epistemic Analysis in Online Learning Environment

Toba, Hapnes and Ayub, Mewati and Wijanto, Maresha Caroline and Parsaoran, Roy and Sani, Ariyanto (2021) Groups Allocation Based on Sentiment-Epistemic Analysis in Online Learning Environment. In: International Conference on Data and Software Engineering (ICoDSE), 3-4 November 2021, Bandung, Indonesia.

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Abstract

Collaborative learning methods in an online learning environment, encourages students to interact actively among themselves in a work group. Instructors or lecturers need to combine potential students to work together as a group, but this task is not easy since the characteristics of a student are sometimes not explicitly known. In this preliminary research, we propose a solution to answer this problem. Our methodology is composed in three steps. It begins with the sentiment analysis process with a textual history of online conversation or discussion. The next step is to classify the text into one of predefined epistemic groups. Further, we visualize the model in an epistemic network graph which is based on singular value decomposition. The group allocation is built based on k-means clustering. The case study in this paper is related to information technology-based subjects, and thus we classify our sentimentepistemic analysis in three collaborative aspects, i.e.: project management, attitude and technology affinity. Our results show that by combining sentiment-epistemic analysis and k-means clustering, a holistic group allocation can be produced whichwould be beneficial in a collaborative learning environment.

Item Type:	Conference or Workshop Item (Paper)
Contributors:	Contribution Contributors NIDN/NIDK Email UNSPECIFIED Toba, Hapnes UNSPECIFIED UNSPECIFIED UNSPECIFIED Ayub, Mewati UNSPECIFIED UNSPECIFIED UNSPECIFIED Wijanto, Maresha Caroline UNSPECIFIED UNSPECIFIED UNSPECIFIED Parsaoran, Roy UNSPECIFIED UNSPECIFIED UNSPECIFIED Sani, Ariyanto UNSPECIFIED UNSPECIFIED
Uncontrolled Keywords:	online learning, k-means, sentiment analysis, group allocation
Subjects:	T Technology > T Technology (General)
Depositing User:	Perpustakaan Maranatha
Date Deposited:	05 Oct 2023 07:54
Last Modified:	05 Oct 2023 07:54
URI:	http://repository.maranatha.edu/id/eprint/32158

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