GrouPer (Group-based Personalization) is an assessment and recommendation system that uses big data and machine learning to assist science teachers in providing personalized instruction. It identifies student knowledge profiles and recommends learning sequences that match their needs. GrouPer also collects teachers’ choices and improves its recommendations based on their collective wisdom. The tool was co-designed with teachers and was recently integrated into PeTeL, a free learning platform that serves teachers across Israel, developed within Weizmann’s Science Teaching Department.
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