A Personalized “Course Navigator” Based On Students' Goal Orientation

Keywords

Engineering; Mathematics (STEM) Education; Personalized Learning; Recommendation Systems; Science; Technology

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.

Publication Date

1-7-2018

Publication Title

Proceedings of the International ACM SIGGROUP Conference on Supporting Group Work

Number of Pages

98-101

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1145/3148330.3154508

Socpus ID

85054786471 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85054786471

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