Evaluating Engagement and Learning Based on a Student Categorization using STACK, Exam Data, Key Informant Interviews, and Focus Group Discussions

Authors

  • Zevick Otieno Juma African
  • Mildred Atieno Ayere
  • Michael Obiero Oyengo
  • Georg Osang

DOI:

https://doi.org/10.3991/ijet.v17i23.36619

Keywords:

Using Moodle STACK at Maseno, Learner Engagement with STACK, Online Assessment in STEM

Abstract


Abstract—Systems for Teaching and Assessment using Computer Algebra Kernel (STACK) is a computer-aided assessment plug-in for the Moodle learning management system that provides sophisticated tools for student assessment in mathematics and related disciplines, with emphasis on formative assessment. In the last four years, IDEMS international has supported the School of Mathematics at Maseno to integrate STACK and use it in the teaching, learning, and assessment of undergraduate students in nine courses. One of the courses was “Introduction to Complex Analysis'', a third-year course shared by students taking mathematics-related programs from different faculties within Maseno. This paper reports on an evaluation of learner behavior in the Complex Analysis course using data from the STACK weekly quizzes done in that course, the final exam, 20 key informant interviews, and 4 focus group discussions.

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Published

2022-12-08

How to Cite

Juma, Z. O., Ayere, M. A. ., Oyengo, M. O. ., & Georg Osang. (2022). Evaluating Engagement and Learning Based on a Student Categorization using STACK, Exam Data, Key Informant Interviews, and Focus Group Discussions. International Journal of Emerging Technologies in Learning (iJET), 17(23), pp. 103–114. https://doi.org/10.3991/ijet.v17i23.36619

Issue

Section

Special Focus Papers