Comparing Students’ Learning Preferences Through Cluster Analysis: Implications for Higher Education (76087)

Session Information:

Session: On Demand
Room: Virtual Video Presentation
Presentation Type: Virtual Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

In response to the disruptive changes within society and technology, higher education institutions need to transform their content-centric curricula into learning pathways that effectively equip students for the workforce. Adapting to the challenges posed by evolving learner dynamics is a crucial approach for institutions to enhance their responsiveness to such changes. This research aims to investigate the categorization of potential students based on their learning preferences, study self-efficacy, and learning motivation. Furthermore, the study seeks to compare the attributes of students across these different clusters. The participants were secondary high schools students from various school types in Thailand, using a multi-stage random sampling method for an online survey. Analyzing responses from 1137 students, a two-step cluster analysis identified three distinct clusters. The comparison of student characteristics among clusters showed significant differences according to the students' study self-efficacy, motivation, and learning preferences. Students in a cluster where the majority perceived their academic accomplishments to be at or above an average level exhibited significantly stronger preferences for both non-traditional and traditional study approaches, compared to the other clusters. The study also discussed how students' learning preferences and their interests in academic disciplines associated with their psychological attributes and perceived academic achievements. The distribution of cluster memberships holds significance for institutions, particularly in the context of communicating innovative learning approaches to potential students.

Authors:
Chantima Pathamathamakul, King Mongkut's University of Technology Thonburi, Thailand
Nuttavud Koomtong, King Mongkut's University of Technology Thonburi, Thailand
Krittika Tanprasert, King Mongkut's University of Technology Thonburi, Thailand


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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00