University of Twente Student Theses


A VR approach for modelling the assessment bias of primary school PE teachers and educating them about it

Hadjidemetriou, G. (2021) A VR approach for modelling the assessment bias of primary school PE teachers and educating them about it.

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Abstract:Valid and accurate assessment of primary school children in physical education is important to help them better develop their gross motor skills. However, teachers often are biased using both valid and invalid cues that affect the reliability of their assessment. This thesis project presents the process of creating a Virtual Reality (VR) system to calculate this cue utilization of teachers, model their bias, provide them with feedback about it and train them on how to eliminate it. This research is based on earlier work in which teachers’ biases were modelled based on videos by building upon it and presenting the videos in a more immersive format in VR. It discusses the generation of movements through motion capture, the acquisition of 3D models of children, generating variations of the models and animations and presenting feedback based on the teachers’ bias model. The VR solution is responsible for generating simulations that users will assess, analysing their responses using Brunswik’s Lens Model to create a model of their bias and provide them with feedback and training on how well they performed and how to improve their assessment. A user study with 24 participants (female = 13) was conducted at the University of Muenster. It consisted of a usability study of the VR system, the modelling of their bias, an evaluation questionnaire and an interview and discussion of their results. Our findings suggest that we are headed in the right direction towards modelling the bias and providing feedback to the users as well as training them for it. We created a cost-efficient pipeline that generates a variety of cue combinations for the models and animations with low effort and cost. In addition, our results suggest that the animations show sufficient variation to be used for detecting people’s bias. While no statistically significant conclusions were drawn, the interviews suggest that users accept and endorse this technology and approach as an accepted medium, and our system shows promising results as an initial study in this domain. We expect that follow-up studies will yield very interesting results about the added value of VR for this use case and study more about our approach’s efficacy and efficiency both long and short term.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Programme:Interaction Technology MSc (60030)
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