A Concept for Modeling Adaptive Learning Mechanisms for Learning Management Systems
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Adaptive Learning Mechanisms (ALM) can be used to personalize the learning process in Learning Management Systems (LMS) to increase learning gains. The issue is that existing approaches to integrating ALMs into LMSs often do not focus on supporting the user groups that are interested in specifying and providing ALMs (i.e., instructors and researchers) according to their needs. This is because these approaches do not focus on specifying the provided ALMs, require a high level of technical expertise to specify them, or are not intended to integrate the provided ALMs into different LMSs to work with existing content. With the goal of addressing these requirements, we propose a concept of an LMS-independent modeling interface. This interface allows users with a low level of technical expertise to model ALMs, referred to as assistance workflows, in a flowchart-like graph. These ALMs can work with different LMSs based on a service-oriented architecture. We evaluated the proposed concept by means of a technical evaluation and a user evaluation according to the user-centered design approach. The results indicate that the proposed architectural approach is suitable to be applied to different LMSs and that the modeling interface meets the requirements of the target user groups.
Details
| Original language | English |
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| Title of host publication | Proceedings of the 2025 IEEE International Conference on Advanced Learning Technologies (ICALT) |
| Editors | Maiga Chang, Scott Chen, Rita Kuo, Demetrios Sampson, Ahmed Tlili, Pei-Shu Tsai |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 32-34 |
| Number of pages | 3 |
| ISBN (electronic) | 979-8-3315-6530-5 |
| ISBN (print) | 979-8-3315-6531-2 |
| Publication status | Published - Oct 2025 |
| Peer-reviewed | Yes |
Publication series
| Series | International Conference on Advanced Learning Technologies (ICALT) |
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| ISSN | 2161-3761 |
External IDs
| Scopus | 105021953984 |
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Keywords
ASJC Scopus subject areas
Keywords
- LMS, adaptation models, adaptive learning, adaptive learning mechanisms, learning management systems, personalized learning, service-oriented architecture, technology-enhanced learning, user centered design, LMS, adaptation models, adaptive learning, adaptive learning mechanisms, learning management systems, personalized learning, service-oriented architecture, technology-enhanced learning, user centered design