Enhancing user experience in e-learning systems: A new user-centric RESTful web services approach
The development of e-learning platforms often focuses on designing system requirements rather than users’ functional requirements, which negatively impacts user behavior, interaction, and the overall e-learning experience. This paper aims to bridge that gap by introducing a new approach to designing...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
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| Series: | Computers in Human Behavior Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2451958825000582 |
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| Summary: | The development of e-learning platforms often focuses on designing system requirements rather than users’ functional requirements, which negatively impacts user behavior, interaction, and the overall e-learning experience. This paper aims to bridge that gap by introducing a new approach to designing and developing e-learning systems based on user-centric design principles. Specifically, it proposes a user-centric web services architecture for e-learning systems. The approach involves designing RESTful web service APIs tailored to the specific functionalities required by various e-learning users, including learners, tutors, teachers, and administrators. The effectiveness of the proposed approach is demonstrated through a comprehensive overview of the implementation process of an e-learning prototype built using the Django REST framework. The e-learning system's user experience was rigorously evaluated using the well-known User Experience Questionnaire (UEQ). Evaluation results revealed high performance across all user experience dimensions, surpassing standard benchmarks, particularly in efficiency and attractiveness scales. The proposed user-centric RESTful web services approach contributes to improving the design and development of e-learning systems, offering a foundation for future exploration of microservices architecture and AI integration to further personalize the learning experience and enhance system performance. |
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| ISSN: | 2451-9588 |