Conference Paper

A Personalized Course Navigator Based on Students' Goal Orientation

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Text/Conference Paper

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Date

2018

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Source

Proceedings of the 2018 ACM International Conference on Supporting Group Work

Publisher

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."

Description

Basavaraj, Prateek; Garibay, Ivan (2018): A Personalized Course Navigator Based on Students' Goal Orientation. Proceedings of the 2018 ACM International Conference on Supporting Group Work. DOI: 10.1145/3148330.3154508. Association for Computing Machinery. pp. 98–101. Sanibel Island, Florida, USA

Keywords

recommendation systems, engineering, technology, personalized learning, (stem) education, science, mathematics

Citation

DOI

10.1145/3148330.3154508

URI

URI

https://dl.eusset.eu/handle/20.500.12015/4479

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GROUP 2018

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Referenced By

Number of citations to item: 3

  • Deepani B. Guruge, Rajan Kadel, Sharly J. Halder (2021): The State of the Art in Methodologies of Course Recommender Systems—A Review of Recent Research, In: Data 2(6), doi:10.3390/data6020018
  • Boxuan Ma, Tianyuan Yang, Baofeng Ren (2024): A Survey on Explainable Course Recommendation Systems, In: Lecture Notes in Computer Science, doi:10.1007/978-3-031-60012-8_17
  • Prateek Basavaraj, Ivan Garibay (2019): Enhancing the Program Quality and College-Level Success Metrics of an IT Program at a Large Public University, In: Proceedings of the 20th Annual SIG Conference on Information Technology Education, doi:10.1145/3349266.3351418
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