Abstract: Volunteer-based crowdsourcing depend critically on maintaining the engagement of participants. We explore a methodology for extending engagement in citizen science by combining machine learning with intervention design. We first present a platform for using real-time predictions about forthcoming disengagement Continue reading
Avi Segal, Ziv Katzir, Ya’akov Gal, Guy Shani and Bracha Shapira. EduRank: A Collaborative Filtering Approach to Personalization in E-learning. Seventh International Conference on Educational Data Mining (EDM 2014), London, England, July 2014. ** winner of best student paper award ** Continue reading
This work was presented at HAIDM 2015. The 2015 workshop on Human-Agent Interaction Design and Models was co-organised by SmartSociety. Abstract: Despite the prevalence of e-learning systems in schools, most of today’s systems do not personalize educational data to the Continue reading
This work was presented at HAIDM 2015. The 2015 workshop on Human-Agent Interaction Design and Models was co-organised by SmartSociety. Abstract: The majority of volunteers participating in citizen science projects perform only a few tasks each before leaving the system. Continue reading