A declarative approach for an adaptive framework for learning in online courses

Djananjay Pandit, Ajay Bansal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Online courses have gained popularity and seen a surge in enrollment with a reported 58 million students. Adaptive learning is an educational method that is applicable to online courses. Computers adapt the presentation of educational material according to students' learning needs. One of the major challenges with existing systems is that learners are not able to keep up with the instructions in the course that leads to a very low course completion rate. Personalization of the course materials based on the needs of a student is of great value. We propose an adaptive framework for learning that groups students and charts a course plan with the end goal of helping the learner complete all topics in the course. The system also provides feedback about the learner's strong and weak topics with a view to help them learn better. We present a declarative approach that is quite different from existing approaches and provides the user flexibility to specify the constraints and actions as well as consequence of each action instead of having the user encode how to find the solution.

Original languageEnglish (US)
Title of host publicationProceedings - 2019 IEEE 43rd Annual Computer Software and Applications Conference, COMPSAC 2019
EditorsVladimir Getov, Jean-Luc Gaudiot, Nariyoshi Yamai, Stelvio Cimato, Morris Chang, Yuuichi Teranishi, Ji-Jiang Yang, Hong Va Leong, Hossian Shahriar, Michiharu Takemoto, Dave Towey, Hiroki Takakura, Atilla Elci, Susumu Takeuchi, Satish Puri
PublisherIEEE Computer Society
Pages212-215
Number of pages4
ISBN (Electronic)9781728126074
DOIs
StatePublished - Jul 2019
Event43rd IEEE Annual Computer Software and Applications Conference, COMPSAC 2019 - Milwaukee, United States
Duration: Jul 15 2019Jul 19 2019

Publication series

NameProceedings - International Computer Software and Applications Conference
Volume1
ISSN (Print)0730-3157

Conference

Conference43rd IEEE Annual Computer Software and Applications Conference, COMPSAC 2019
CountryUnited States
CityMilwaukee
Period7/15/197/19/19

Keywords

  • Action Language
  • Adaptive Learning
  • Answer Set Programming
  • LPMLN

ASJC Scopus subject areas

  • Software
  • Computer Science Applications

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  • Cite this

    Pandit, D., & Bansal, A. (2019). A declarative approach for an adaptive framework for learning in online courses. In V. Getov, J-L. Gaudiot, N. Yamai, S. Cimato, M. Chang, Y. Teranishi, J-J. Yang, H. V. Leong, H. Shahriar, M. Takemoto, D. Towey, H. Takakura, A. Elci, S. Takeuchi, & S. Puri (Eds.), Proceedings - 2019 IEEE 43rd Annual Computer Software and Applications Conference, COMPSAC 2019 (pp. 212-215). [8754187] (Proceedings - International Computer Software and Applications Conference; Vol. 1). IEEE Computer Society. https://doi.org/10.1109/COMPSAC.2019.00039