Enhancing Student Performance Through the Revamp of the Research-Related Unit and Dissertation Processes: A Case Study
<ns3:p>This case study explores the impact of redesigning the Research Processes and Techniques unit and dissertation processes on student performance. Traditionally taught during the final three months of the second year, the unit was restructured as a year-long course to provide students ample time to develop their research ideas and understand essential concepts. The study involves analysing qualitative data from lecture notes and student feedback and assessing dissertation performance across three academic years (2021/22, 2022/23, and 2023/24).Students were initially encouraged to explore research themes and ideas, with subsequent sessions focused on refining and expanding these ideas. Data from individual student discussions were collected and compared with performance metrics, including assignment grades and viva outcomes. Additionally, the study includes an in-depth analysis of dissertations, with a focus on common challenges, supervisor-student communication, and research skill development. Second examiners assessed a sample of dissertations to ensure consistency and identify issues. The feedback acquired from external examiners was also incorporated.The findings indicate that students with early clarity on their research ideas demonstrated improved performance in assignments and their dissertations. The year-long structure facilitated better idea development and concept grasp. This case study underscores the crucial role of early and continuous engagement in research processes for enhancing student performance, shedding light on a critical factor that can significantly influence student outcomes.</ns3:p>
Authors
- Ivan De Battista (ORCID: https://orcid.org/0000-0002-1552-964X)
- Natalino Fenech
Institutions
- Malta College of Arts, Science and Technology (MT)
Publication Details
- Journal
- MCAST Journal of Applied Research & Practice
- Published
- 2025-03-29
- DOI
- https://doi.org/10.5604/01.3001.0055.0666
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00