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

Djananjay Pandit; Ajay Bansal

doi:10.1109/COMPSAC.2019.00039

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

Djananjay Pandit, Ajay Bansal

Software Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 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 language	English (US)
Title of host publication	Proceedings - 2019 IEEE 43rd Annual Computer Software and Applications Conference, COMPSAC 2019
Editors	Vladimir 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
Publisher	IEEE Computer Society
Pages	212-215
Number of pages	4
ISBN (Electronic)	9781728126074
DOIs	https://doi.org/10.1109/COMPSAC.2019.00039
State	Published - Jul 2019
Event	43rd IEEE Annual Computer Software and Applications Conference, COMPSAC 2019 - Milwaukee, United States Duration: Jul 15 2019 → Jul 19 2019

Publication series

Name	Proceedings - International Computer Software and Applications Conference
Volume	1
ISSN (Print)	0730-3157

Conference

Conference	43rd IEEE Annual Computer Software and Applications Conference, COMPSAC 2019
Country/Territory	United States
City	Milwaukee
Period	7/15/19 → 7/19/19

Keywords

Action Language
Adaptive Learning
Answer Set Programming
LPMLN

ASJC Scopus subject areas

Software
Computer Science Applications

Access to Document

10.1109/COMPSAC.2019.00039

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). Article 8754187 (Proceedings - International Computer Software and Applications Conference; Vol. 1). IEEE Computer Society. https://doi.org/10.1109/COMPSAC.2019.00039

A declarative approach for an adaptive framework for learning in online courses. / Pandit, Djananjay; Bansal, Ajay.
Proceedings - 2019 IEEE 43rd Annual Computer Software and Applications Conference, COMPSAC 2019. ed. / Vladimir 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. IEEE Computer Society, 2019. p. 212-215 8754187 (Proceedings - International Computer Software and Applications Conference; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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, HV 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., 8754187, Proceedings - International Computer Software and Applications Conference, vol. 1, IEEE Computer Society, pp. 212-215, 43rd IEEE Annual Computer Software and Applications Conference, COMPSAC 2019, Milwaukee, United States, 7/15/19. https://doi.org/10.1109/COMPSAC.2019.00039

Pandit D, Bansal A. A declarative approach for an adaptive framework for learning in online courses. In Getov V, Gaudiot JL, Yamai N, Cimato S, Chang M, Teranishi Y, Yang JJ, Leong HV, Shahriar H, Takemoto M, Towey D, Takakura H, Elci A, Takeuchi S, Puri S, editors, Proceedings - 2019 IEEE 43rd Annual Computer Software and Applications Conference, COMPSAC 2019. IEEE Computer Society. 2019. p. 212-215. 8754187. (Proceedings - International Computer Software and Applications Conference). doi: 10.1109/COMPSAC.2019.00039

Pandit, Djananjay ; Bansal, Ajay. / A declarative approach for an adaptive framework for learning in online courses. Proceedings - 2019 IEEE 43rd Annual Computer Software and Applications Conference, COMPSAC 2019. editor / Vladimir 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. IEEE Computer Society, 2019. pp. 212-215 (Proceedings - International Computer Software and Applications Conference).

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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