PREDICTIVE MODELING OF CLASS TARGET ACHIEVEMENT BASED ON STUDENTS’ SPONTANEOUS INTERACTION DURING COLLABORATIVE LEARNING FOR CLASS MANAGEMENT TOOLS

Masaya Matsushita (), Alexandra Dutescu-Dimbovita (), Cristian Iulian Vlad (), Dorin Marchis () and Nobumichi Watahiki ()
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Masaya Matsushita: Nagaoka University of Technology, Japan
Alexandra Dutescu-Dimbovita: The Bucharest University of Economic Studies, Romania
Cristian Iulian Vlad: The Bucharest University of Economic Studies, Romania
Dorin Marchis: The Bucharest University of Economic Studies, Romania
Nobumichi Watahiki: Nagaoka University of Technology, Japan

Journal of Information Systems & Operations Management, 2023, vol. 17, issue 1, 111-129

Abstract: Educators have difficulty in determining learning interactions in the classroom and in quantifying them, mainly due to lack of sufficient support needed for each student, as the instructor operates the class alone. The authors are developing a system to assist educators in making situational decisions about when to intervene and interact with students within the temporal and spatial constraints of the classroom. In this study, the authors investigated educators’ intervention time in an environment where the understanding of the whole class was shared. The results indicate that the data provided by the system may be used to evaluate students by using the value of eigenvector centrality as a measure of instructural leadership. In addition, when learning objectives are achieved by about 20% of the students, the information that solves the question is widely diffused throughout the class.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:rau:jisomg:v:17:y:2023:i:1:p:111-129

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