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What to study next?: Visual Guidance in Knowledge Acquisition

Published:17 March 2020Publication History

ABSTRACT

This is a demo of a virtual academic adviser that enables student self-guidance and counters the unavailability of true academic advisers. The adviser integrates four visual tools: flexible and personalized planning of future terms and courses, body of knowledge acquisition mapping tool for easier finding of courses that are aligned to personal interests in terms of the acquired knowledge and abilities, and study program switch exploration tool to ease student mobility.

References

  1. Vangel V. Ajanovski. 2019. Body of Knowledge Explorer: Long-Term Student Guidance Across the Computer-Science Domain. In Proceedings of the 19th Koli Calling International Conference on Computing Education Research - Koli Calling '19. ACM Press, Koli, Finland, 1--5. https://doi.org/10.1145/3364510.3364531Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Vangel V. Ajanovski. 2020. Student Information Systems of the Next Generation. https://develop.finki.ukim.mk/projects/sisngGoogle ScholarGoogle Scholar
  3. IEEE Computer Joint Task Force on Computing Curricula, Association for Computing Machinery (ACM) and IEEE Computer Society. 2013. Computer Science Curricula 2013: Curriculum Guidelines for Undergraduate Degree Programs in Computer Science. ACM, New York, NY, USA. https://dx.doi.org/10.1145/2534860Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Ruslan Salakhutdinov and Andriy Mnih. 2008. Bayesian Probabilistic Matrix Factorization Using Markov Chain Monte Carlo. In Proceedings of the 25th International Conference on Machine Learning (ICML '08). ACM, New York, NY, USA, 880--887. https://doi.org/10.1145/1390156.1390267Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Takayuki Sekiya, Yoshitatsu Matsuda, and Kazunori Yamaguchi. 2010. Analysis of Computer Science Related Curriculum on LDA and Isomap. In Proceedings of the Fifteenth Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE '10). ACM, New York, NY, USA, 48--52. https://doi.org/10.1145/1822090.1822106Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. What to study next?: Visual Guidance in Knowledge Acquisition

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      • Published in

        cover image ACM Conferences
        IUI '20 Companion: Companion Proceedings of the 25th International Conference on Intelligent User Interfaces
        March 2020
        153 pages
        ISBN:9781450375139
        DOI:10.1145/3379336

        Copyright © 2020 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 17 March 2020

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        Overall Acceptance Rate746of2,811submissions,27%
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