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EDM – Educational Data Mining

Educational Data Mining: This project aims at mining the huge amount of electronic data collected by educational systems to discover useful information for teachers, learners and education researchers. Education being a novel application domain for Data Mining, a large part of this project is focused on creating or adapting suitable mining algorithms.

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Extracting food intake patterns of young Australian adults

This interdisciplinary project explores the role food prepared outside the home versus within the home plays in the diets of young adults. This original approach is to use our newly designed and tested Smartphone application, that transforms data collection and processing, and continuous digital photography.

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Monitoring physical activity behaviours for the iEngage project

The iEngage project leverages new technologies to help promoting healthier behaviours in children with regard to physical activity and nutrition. Its digital platform provides children with information, education and skills set to achieve their physical activity and nutrition goals. The platform also connects with the activity trackers to provide continuous feedback and summarise the daily […]

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Peer recommenders for MOOCs

Lack of social relationships has been shown to be an important contributing factor for attrition in Massive Open Online Courses (MOOCs). This project aims at helping students to connect with other students to alleviate this phenomenon, by enhancing MOOCs with a peer-recommender system to encourage interactions, thus improving learning and reducing attrition. It explores various […]

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