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Post hoc identification of student groups: Combining user modeling with cluster analysis.
Igor Balaban1, Danijel Filipović1, Miran Zlatović1
1Faculty of Organization and Informatics, University of Zagreb, Pavlinska 2, 42 000 Varaždin, Croatia.
Education and Information Technologies
|December 5, 2022
Summary
This study identified three student groups in an online emergency remote teaching course during COVID-19. Understanding these student clusters can improve online course design and student success.
Area of Science:
- Educational Technology
- Computer Science
- Higher Education
Background:
- The COVID-19 pandemic necessitated a rapid shift to emergency remote teaching (ERT) in higher education.
- Online learning environments present unique challenges and opportunities for student engagement and success.
- Understanding student behavior patterns in ERT courses is crucial for effective pedagogical strategies.
Purpose of the Study:
- To identify distinct student groups within an online emergency remote teaching course.
- To analyze student performance and engagement data to inform course design.
- To provide insights for improving student retention and academic outcomes in online settings.
Main Methods:
- Utilized k-means clustering to group students based on course-related data.
- Analyzed student success using overlay modeling for quizzes and exams.
- Incorporated data on lesson access frequency and final grades for classification.
Main Results:
- Discovered three distinct clusters representing different student groups within the online course.
- Student groups varied in their engagement levels, academic performance, and learning patterns.
- The identified clusters offer a nuanced view of student experiences in ERT.
Conclusions:
- The identified student groups provide actionable insights for tailoring online course design.
- Personalized interventions based on cluster characteristics can enhance student retention and grades.
- This research contributes to optimizing emergency remote teaching strategies for future online education.
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