Identifying Sign of Grit among Self-Paced MOOC Students Based on Clickstream Data

Authors

  • Nadirah Mohamad Faculty of Computing Universiti Teknologi Malaysia 81310 UTM Johor Bahru, Johor, Malaysia
  • Nor Bahiah Ahmad Faculty of Computing Universiti Teknologi Malaysia 81310 UTM Johor Bahru, Johor, Malaysia
  • Norsham Idris Faculty of Computing Universiti Teknologi Malaysia 81310 UTM Johor Bahru, Johor, Malaysia

DOI:

https://doi.org/10.11113/ijic.v8n2.176

Keywords:

Student’s Performance, Grit, MOOC, Self-paced, Clickstream

Abstract

Previous research that investigate and predict student’s performance share various results concerning the factors that drive the students to retain and success. The factor ranging from intrinsic to extrinsic. However, few MOOC research attempt to scrutinize grit factor. Previous researches results are from survey. However, self-report survey is insufficient because the students may have different interpretation about the questions and measurement for themselves. Therefore, this is a case study that attempts to investigate the sign of grit among self-paced MOOC students using proposed features based on clickstream data. Also, the study observes whether the grit traits have relation with student’s performance. This study found that many students have high grade despite having low grit traits. However, statistical analysis shows that there is still significant correlation between grit traits and student’s grade. Other factor like unrecorded effort outside online learning may contribute to this result which can be investigated by future study. There is potential for better result by combining proposed method with collected survey.

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Published

2018-05-31

How to Cite

Mohamad, N., Ahmad, N. B., & Idris, N. (2018). Identifying Sign of Grit among Self-Paced MOOC Students Based on Clickstream Data. International Journal of Innovative Computing, 8(2). https://doi.org/10.11113/ijic.v8n2.176

Issue

Section

Computer Science