LDE-CEL can supervise and support thesis for EUR, LEi and TUD from interdisciplinary projects. At LDE-CEL we have several topics for MSc Thesis.
Multimodal Immersive Learning Systems for Deliberate Practice in Badminton.
Description: Multimodal Immersive Learning Systems (MILeS) are educational technology systems for the authentic practice of skills, for example, learning to play badminton by playing badminton. MILeS boasts a multi-sensor ecosystem integration with immersive technologies such as Virtual Reality (VR) or Augmented Reality (AR) to unfold new methods of situated instructional design such as embodied cognition. This project explores the affordances of MILeS in facilitating embodied cognition & deliberate practice in learning badminton (for example, mastering low serve in badminton).
The objectives of this project are as follows.
- Select and integrate sensors into existing badminton equipment
- Research and develop several features such as flight trajectory prediction with multi-sensor data that provide affordances for embodied cognition in badminton
- Design and implement evidence-informed training application for badminton with afore-developed features to support deliberate practice
- Empirically test the application
Requirements and focus: Experience in XR (AR & VR) programming (preferably HoloLens 2), Experience in UNITY game engine, Interested in educational technology, educational science, research, & working in a team.
Contact: Gitte van Helden & Bibeg Hang Limbu
Status: Open
Power to the learner: Effects of selecting personal data sources in dashboard building.
Description: Learner agency supports the idea that learners should own their learning. For example, learners should create and follow their own learning goals and select the learning strategies and learning resources they wish to study. This project would look at how learning analytics can be used to support and develop learner agency by developing tools that allow learners to set their own goals, monitor their progress towards these goals and choose personal data sources that they wish to monitor.
Requirements and focus: Data Science, Aggregation and Analysis Skills
Contact: Marcus Specht
Status: Open
Creating an experience sampling tool for personal data collection in quantified self.
Description: Self is a methodology for exploring hypotheses about personal behaviour and for behaviour change. The experience sampling tool should enable learners to specify contextual parameters (location, time, social contact) for which they would like to collect data points. Driven by the specified trigger data can be collected from sensor systems, web-based services, and personal log-book entries. These data entries can later be analysed to evaluate the given hypotheses based on the collected data.
Requirements and focus: Programming and Development Skills, especially for mobile apps
Contact: Marcus Specht
Status: open
Programming Education
Study 1: Investigation of programming skill assessment in online environments (Literature Review)
Description:Though the development of programming education has speeded up in recent decades, the research on assessment of programming skills is still in its infancy when compared to mathematics education and or writing/reading skills. There is an increased interest in the adaptation of computer-aided learning in programming education. However, there is not an overview of how programming skills are assessed in an online environment. As assessment is important in quality assurance, in this study, efforts will be made to investigate:
- 1) constructs being assessed regarding programming skills,
- 2) systems used for the assessment of programming skills and their features,
- 3) evaluation underwent regarding the assessment of programming skills
Study 2: System designs for automatic assessment of programming skills (Literature Review)
Requirements and focus: should at least have followed a programming course, preferably with a computer science bachelor degree.
Contact: Xiaoling Zhang
Status: Open