Using Educational Data Mining to Test the Validity of Learning Style Theory

Shobbrook, Rhys; Branch, Philip; Ling, Peter

doi:10.1109/tale48869.2020.9368442

Cited by 2 publications

(1 citation statement)

References 29 publications

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“…Costaguta and Menini [20] studied the relationship between learning style and performance to improve group creation. More recently, Shobbrook et al [21] implemented elements of EDM to validate the Fedler and Silverman's Index of Learning Styles (ILS) developed for engineering education. In their research, no correlation supporting the validity of the ILS was found, except for Lecture attendance.…”

Section: Learning Style Study Patterns and Study Profilementioning

confidence: 99%

Exploring study profiles of Computer Science students with Social Network Analysis

Flores¹,

Íslind²,

Óskarsdóttir³

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Information technology is widely adapted in all levels of education. The extensive information resources facilitate enhanced human capacity and the social environment to support learning. In particular, Social Network Analysis (SNA) has been broadly used in teaching and learning practices. In this paper, we perform community detection analysis to identify the learning behavior profiles of undergraduate computer science students in a Nordic university. The social network was created using 273 responses to an online survey. The students themselves provided their social connections at the university, and node attributes were created based on responses to questions regarding Educational Values, Goals Orientation, Self-efficacy, and the university teaching methods. We analyze the biggest communities to identify the factors that characterize the learning strategy and preferences of undergraduate computer science students.

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Section: Learning Style Study Patterns and Study Profilementioning

confidence: 99%