research-article

A Personalised Recommendation Framework for Ubiquitous Learning System

Authors:

Pijush Kanti Dutta Pramanik,

Prasenjit ChoudhuryAuthors Info & Claims

ICIIT '21: Proceedings of the 2021 6th International Conference on Intelligent Information Technology

Pages 63 - 72

https://doi.org/10.1145/3460179.3460190

Published: 10 August 2021 Publication History

Abstract

The traditional e-learning has been developed into personalised and ubiquitous learning, in which the learners find learning materials (LMs) that are suitable to their contextual requirements, and can access them from anywhere and anytime. In this paper, we propose a framework for a personalised recommendation in a ubiquitous learning platform, following a knowledge-based approach. The framework comprises modules like query processing, information storage and retrieval, and learner context mapping and reasoning. Learner's implicit and explicit contexts are used for assessing the preference and suitability and mapping with the LMs that are retrieved based on the learner's query analysis, with the help of educational metadata. Selecting suitable LMs based on different factors is a multi-criteria decision making (MCDM) problem. For prioritising the selection factors, we use SWARA, and for multi-objective decision making, we apply MOORA. Utilising these two techniques, the LMs are ranked and are recommended accordingly.

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Cited By

Dey ADutta Pramanik PSingh PChoudhury P(2024)Improving recommendations utilizing users’ demographic informationQuality & Quantity10.1007/s11135-024-01890-158:6(5559-5575)Online publication date: 25-May-2024
https://doi.org/10.1007/s11135-024-01890-1
Assis LRodrigues AVivas APitangui CSilva CDorça F(2022)Relationship Between Learning Styles and Learning ObjectsInternational Journal of Distance Education Technologies10.4018/IJDET.29669820:1(1-18)Online publication date: 9-Feb-2022
https://dl.acm.org/doi/10.4018/IJDET.296698

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ICIIT '21: Proceedings of the 2021 6th International Conference on Intelligent Information Technology

February 2021

106 pages

ISBN:9781450388948

DOI:10.1145/3460179

Copyright © 2021 ACM.

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Published: 10 August 2021

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p63-pal-supplement: Presentation slides https://dl.acm.org/doi/10.1145/3460179.3460190#p63-pal-supplement.pptx

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ICIIT '21

ICIIT '21: 2021 6th International Conference on Intelligent Information Technology

February 25 - 28, 2021

Ho Chi Minh, Viet Nam

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Cited By

Dey ADutta Pramanik PSingh PChoudhury P(2024)Improving recommendations utilizing users’ demographic informationQuality & Quantity10.1007/s11135-024-01890-158:6(5559-5575)Online publication date: 25-May-2024
https://doi.org/10.1007/s11135-024-01890-1
Assis LRodrigues AVivas APitangui CSilva CDorça F(2022)Relationship Between Learning Styles and Learning ObjectsInternational Journal of Distance Education Technologies10.4018/IJDET.29669820:1(1-18)Online publication date: 9-Feb-2022
https://dl.acm.org/doi/10.4018/IJDET.296698

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