Modeling “Stag and Hare Hunting” Behaviors Using Interaction Data from an mCSCL Application for Grade 5 Mathematics

Author:

Bringula Rex P.12,Enverzo Ann Joizelle D.3,Gonzales Ma. Gracia G.3,Rodrigo Maria Mercedes T.1ORCID

Affiliation:

1. Department of Information Systems & Computer Science, Ateneo de Manila University, Quezon City 1108, Philippines

2. College of Computer Studies and Systems, University of the East, Manila 1008, Philippines

3. Guidance, Counseling and Career Services Office, University of the East, Manila 1008, Philippines

Abstract

This study attempted to model the stag and hare hunting behaviors of students using their interaction data in a mobile computer-supported collaborative learning application for Grade 5 mathematics. Twenty-five male and 12 female Grade 5 students with an average age of 10.5 years participated in this study. Stag hunters are more likely to display personality dimensions characterized by Openness while students belonging to hare hunters display personality dimensions characterized by Extraversion and Neuroticism. Students who display personality dimensions characterized by Agreeableness and Conscientiousness may tend to be either hare or stag hunters, depending on the difficulty, types of arithmetic problems solved, and the amount of time spent solving arithmetic problems. Students engaged in a stag hunting behavior performed poorly in mathematics. Decision tree modeling and lag sequential analysis revealed that stag and hare hunting behaviors could be identified based on personality dimensions, types of arithmetic problems solved, difficulty level of problems solved, time spent solving problems, and problem-solving patterns. Future research and practical implications were also discussed.

Funder

Department of Science and Technology-Engineering Research and Development for Technology

Publisher

MDPI AG

Subject

Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Neuroscience (miscellaneous)

Reference57 articles.

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4. Bringula, R.P., and Atienza, F.A.L. (2022). Mobile computer-supported collaborative learning for mathematics: A scoping review. Educ. Inf. Technol., 1–26.

5. Cooperative learning: Review of research and practice;Gillies;Aust. J. Teach. Educ.,2016

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1. The Impact of Mobile Learning on Students’ Attitudes towards Learning in an Educational Technology Course;Multimodal Technologies and Interaction;2023-07-20

2. Towards the Development of a Model to Detect Learned Helplessness Among Grade 6 Mathematics Students;2023 IEEE International Conference on Advanced Learning Technologies (ICALT);2023-07

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