Gaze-Based Real-Time Adaptivity and Adaptability in an eLearning Environment: A Pre-release Insight
As part of the ScienceCampus Tübingen, we conduct empirical research on learning strategies, in particular with regard to system adaptivity. For this purpose, we developed a web-based eLearning platform called ALM (Adaptive Learning Module) which adapts the learning content based on a real-time analysis of the user’s gaze data as observed by an eye-tracker. This paper describes work in progress and provides a technical insight on the state of our platform and how we plan to shape the application for the planned open-source release this fall. In addition to the technical overview, we provide application examples from actual research studies as well as a vision for the productive use of the learning environment for educational topics.
KeywordsEye-Tracking Gaze-Tracking Gaze-Based interaction eLearning platform Eye movement Fixations Transitions Gaze events Eye movement modelling Eye movement analysis Gaze analysis Web-based eLearning
This research has been conducted within the ScienceCampus Tübingen “Informational Environments”, an interdisciplinary research collaboration of the Knowledge Media Research Center and the University of Tübingen, with funding from the German state of Baden-Württemberg, Ministry of Science, Research and the Arts. This publication reflects only the authors’ views and the funding agency is not liable for any use that may be made of the information contained herein.
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