A Personalized Course Navigator Based on Students' Goal Orientation
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Association for Computing Machinery
Abstract
Higher education institutions must understand students' mastery and performance goals in order to guide them in selecting suitable courses to take, so that they are successful. We propose a personalized recommendation system called Course Navigator" for guiding undergraduate Information Technology (IT) students in selecting course curriculum based on their self-reported goal orientation and past course performance. We analyzed data from 2500 IT students at University of Central Florida (UCF) to create course recommendations. Our preliminary results show that the course recommendations for students with different goal orientations differ and may help students customize their course selections based on their goals."
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recommendation systems, engineering, technology, personalized learning, (stem) education, science, mathematics