We’re looking for a student assistant (master’s level) who can help us build a system that analyses students’ problem-solving strategies using webcam-based eye-tracking. Eye-tracking technology is often used to measure how pupils learn to solve mathematical problem-solving tasks, specifically to make their strategies visible. The aim of this project is to measure strategies with webcam-based eye-tracking and make data visible to teachers in a dashboard.
We are looking for a motivated master’s student with a bachelor’s degree in computer science or a related field and strong programming skills. You will work closely with a team of social science researchers who have limited programming experience. Therefore, we are looking for someone who can not only build the system, but also advise us on technical decisions, provide clear documentation, and explain how the system works in an accessible way. The system should be implemented as a website that will serve as a prototype for future projects. For this reason, it is important that it is developed in a transparent, well-documented, and easily adaptable manner. The job concerns building a prototype website on which pupils will solve mathematical problems while a webcam measures their gaze (where they look). For this, the JavaScript Library Webgazer.js (https://webgazer.cs.brown.edu/#home) should be used. Analyzed information should be presented to teachers on a dashboard (e.g., through https://moodle.org/ or other another tool).
You can request the project plan or ask questions by emailing Ellen Kok (e.m.kok@uu.nl). Please send your CV and motivation letter to Ellen Kok before March 1.