An overview of adaptive e-learning systems
| Autor: | Zouhir Mahani, Soukaina Ennouamani |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Computer science
E-learning (theory) 05 social sciences 050301 education 02 engineering and technology Data science E learning Work (electrical) Order (exchange) Information and Communications Technology 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Adaptive learning State (computer science) 0503 education |
| Zdroj: | 2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS). |
| DOI: | 10.1109/intelcis.2017.8260060 |
| Popis: | Due to the emergence of information and communication technologies in various fields, which have also affected the educational sector, adaptive e-learning systems are recognized as one of the most interesting research areas in distance web-based education. This research direction enables developers to build a model of goals, preferences and knowledge of each individual user in order to adapt the learning to his/her needs and characteristics. The objective of this paper is to present the state of the art in adaptive e-learning systems as an alternative to the traditional learning by describing its dimensions, design, architecture and theoretical approaches. We also highlight some prospects for our future work by studying, analyzing and criticizing existing systems. |
| Databáze: | OpenAIRE |
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