research-article

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

Authors:

Vamsi Krishna Nadimpalli,

Florian Hauser,

Dominik Bittner,

Lisa Grabinger,

Susanne Staufer,

Jürgen MottokAuthors Info & Claims

ECSEE '23: Proceedings of the 5th European Conference on Software Engineering Education

Pages 83 - 92

https://doi.org/10.1145/3593663.3593681

Published: 19 June 2023 Publication History

Abstract

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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Cited By

Al-Raimi MMudhsh BAl-Yafaei YAl-Maashani S(2024)Utilizing artificial intelligence tools for improving writing skills: Exploring Omani EFL learners’ perspectivesForum for Linguistic Studies10.59400/fls.v6i2.11776:2(1177)Online publication date: 20-Mar-2024
https://doi.org/10.59400/fls.v6i2.1177
Bittner DNadimpalli VGrabinger LEzer THauser FMottok J(2024)Uncovering Learning Styles through Eye Tracking and Artificial IntelligenceProceedings of the 2024 Symposium on Eye Tracking Research and Applications10.1145/3649902.3653940(1-7)Online publication date: 4-Jun-2024
https://dl.acm.org/doi/10.1145/3649902.3653940
Valle Torre MOertel CSpecht M(2024)The Sequence Matters in Learning - A Systematic Literature ReviewProceedings of the 14th Learning Analytics and Knowledge Conference10.1145/3636555.3636880(263-272)Online publication date: 18-Mar-2024
https://dl.acm.org/doi/10.1145/3636555.3636880
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Index Terms

Systematic Literature Review for the Use of AI Based Techniques in Adaptive Learning Management Systems
1. Computing methodologies
  1. Artificial intelligence
2. General and reference
  1. Document types
    1. Surveys and overviews

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cover image ACM Other conferences

ECSEE '23: Proceedings of the 5th European Conference on Software Engineering Education

June 2023

264 pages

ISBN:9781450399562

DOI:10.1145/3593663

Editor:
Jürgen Mottok
OTH Regensburg

Copyright © 2023 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 19 June 2023

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German Federal Ministry of Education and Research

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ECSEE 2023

ECSEE 2023: European Conference on Software Engineering Education

June 19 - 21, 2023

Seeon/Bavaria, Germany

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Overall Acceptance Rate 11 of 16 submissions, 69%

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Cited By

Al-Raimi MMudhsh BAl-Yafaei YAl-Maashani S(2024)Utilizing artificial intelligence tools for improving writing skills: Exploring Omani EFL learners’ perspectivesForum for Linguistic Studies10.59400/fls.v6i2.11776:2(1177)Online publication date: 20-Mar-2024
https://doi.org/10.59400/fls.v6i2.1177
Bittner DNadimpalli VGrabinger LEzer THauser FMottok J(2024)Uncovering Learning Styles through Eye Tracking and Artificial IntelligenceProceedings of the 2024 Symposium on Eye Tracking Research and Applications10.1145/3649902.3653940(1-7)Online publication date: 4-Jun-2024
https://dl.acm.org/doi/10.1145/3649902.3653940
Valle Torre MOertel CSpecht M(2024)The Sequence Matters in Learning - A Systematic Literature ReviewProceedings of the 14th Learning Analytics and Knowledge Conference10.1145/3636555.3636880(263-272)Online publication date: 18-Mar-2024
https://dl.acm.org/doi/10.1145/3636555.3636880
Sá Alves GCarlos Bittencourt JDias A(2024)An FPGA Integrated 2D Graphic Processor for Enhanced Digital Design and Computer Architecture EducationIEEE Revista Iberoamericana de Tecnologias del Aprendizaje10.1109/RITA.2024.345885019(176-185)Online publication date: 2024
https://doi.org/10.1109/RITA.2024.3458850
Kumar NJain J(2024)Development of Collaborative Learning Management Systems for Higher Education in Oncology Using Deep Learning and Blockchain2024 IEEE 9th International Conference for Convergence in Technology (I2CT)10.1109/I2CT61223.2024.10543738(1-5)Online publication date: 5-Apr-2024
https://doi.org/10.1109/I2CT61223.2024.10543738
Bittner DHauser FNadimpalli VGrabinger LStaufer SMottok J(2023)Towards Eye Tracking based Learning Style IdentificationProceedings of the 5th European Conference on Software Engineering Education10.1145/3593663.3593680(138-147)Online publication date: 19-Jun-2023
https://dl.acm.org/doi/10.1145/3593663.3593680

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