Playlist: A personal sequence of learning activities

Full report on a holistic approach towards designing an educational tool

Master Thesis (2024)
Author(s)

R.N. Glans (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

Marcus Specht – Mentor (TU Delft - Web Information Systems)

Manuel Valle Valle Torre – Mentor (TU Delft - Web Information Systems)

Jorge Martinez – Graduation committee member (TU Delft - Multimedia Computing)

S.M. Flipse – Mentor (TU Delft - Responsible Marketing and Consumer Behavior)

E. Kalmár – Graduation committee member (TU Delft - Creative Processes)

Faculty
Electrical Engineering, Mathematics and Computer Science
More Info
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Publication Year
2024
Language
English
Graduation Date
09-07-2024
Awarding Institution
Delft University of Technology
Programme
['Computer Science']
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

This thesis involves the development and testing of an educational tool named ”Playlist,” aimed at improving the learning experience of Computer Science & Engineering bachelor students at the TU Delft. The Playlist tool was developed as a feature for the existing tool called Skill Circuits, supporting students in creating personalized sequences of learning activities for their study sessions. This research contributes to the complexities of modern digital learning environments and the challenges students face in navigating vast amounts of educational content.

This report holds the full description of the integrated thesis. The first part including the chapters of ”Fostering a personal sequence of learning activities in Skill Circuits”.
The study uses a design-based research approach, which involves iterative development and research cycles and including students in the evaluation phases. By drawing on educational theories and addressing practical needs identified at TU Delft, the Playlist tool was designed to seamlessly integrate into the existing learning environment. The tool’s functionalities were prioritized based on user feedback provided by Computer Science students and gathered through surveys and focus group sessions.

Key findings indicate that playlists can improve student engagement, motivation, and overall learning experience by supporting students in finding learning activities aligned with their learning preferences and goals. The research highlights the importance of providing students with tools that improve navigating the learning environment and support them in self-directed learning. The Playlist feature not only aids students in organizing their learning activities but also promotes a holistic approach to education by incorporating supporting activities such as reflection and taking breaks.

The integrated thesis hopes to demonstrate the potential and importance of designing tools to personalize learning and support students in achieving their learning goals. It also explains why personalization tools in higher education should be implemented in an iterative manner.

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