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Systematic Literature Review for the Use of AI Based Techniques in Adaptive Learning Management Systems

  • Nowadays, learning management systems are widely employed in all educational institutions to instruct students as a result of the increasing in online usage. Today’s learning management systems provide learning paths without personalizing them to the characteristics of the learner. Therefore, research these days is concentrated on employing AI-based strategies to personalize the systems. However, there are many different AI algorithms, making it challenging to determine which ones are most suited for taking into account the many different features of learner data and learning contents. This paper conducts a systematic literature review in order to discuss the AI-based methods that are frequently used to identify learner characteristics, organize the learning contents, recommend learning paths, and highlight their advantages and disadvantages.

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Author:Vamsi Krishna Nadimpalli, Florian HauserORCiD, Dominik BittnerORCiD, Lisa GrabingerORCiD, Susanne StauferORCiD, Jürgen MottokORCiDGND
DOI:https://doi.org/10.1145/3593663.3593681
ISBN:978-1-4503-9956-2
Parent Title (English):Proceedings of the 5th European Conference on Software Engineering Education, Seeon/Germany, June 19 - 21, 2023
Publisher:Association for Computing Machinery
Place of publication:New York
Editor:Jürgen Mottok
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2023
Release Date:2023/07/21
First Page:83
Last Page:92
Institutes:Fakultät Elektro- und Informationstechnik
Fakultät Elektro- und Informationstechnik / Laboratory for Safe and Secure Systems (LAS3)
research focus:Digitalisierung
Licence (German):Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG