Samuel, Seth and Covenant University, Theses (2022) A LEARNING ANALYTICS APPROACH TO MODELLING STUDENT-STAFF INTERACTION BASED ON STUDENTS’ PERCEPTION OF ENGAGEMENT PRACTICES. Masters thesis, Covenant University Ota.
![[img]](http://eprints.covenantuniversity.edu.ng/style/images/fileicons/application_pdf.png) |
PDF
Download (213kB) |
Abstract
Numerous studies have discovered a strong correlation between student-staff interaction (SSI) and improved student and institutional outcomes, making it a prominent research topic on student engagement and quality learning in higher education. This study took a novel approach to construct a student-staff interaction model by analysing the associative relationships between the engagement indicators of the National Survey of Student Engagement (NSSE), a widely used instrument for measuring student engagement. The Frequent Pattern growth algorithm was used to identify intriguing associations between the engagement indicators, followed by structural equation modelling to investigate the most intriguing structurally modelled rules. This research pushes the boundaries of studies aimed at enhancing student engagement and outcomes by revealing the precarious factors that influence student-staff interaction. The unique contribution of this study lies not only in the methodology employed but also in the validated models of student-staff interaction that were produced. This research will therefore enable the development of ideas, policies, and best practices associated with enhancing student engagement through student-staff interaction in higher education to enhance student performance and learning quality.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | student-staff interaction model; student engagement; learning analytics |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | nwokealisi |
| Date Deposited: | 21 Sep 2022 15:22 |
| Last Modified: | 21 Sep 2022 15:22 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/16192 |
Actions (login required)
 |
View Item |
