| Autor: |
Humam K. Majeed Al-Chalabi, Gloria Cerasela Crisan, Ufuoma Chima Apoki, Soukaina Ennouamani |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Modelling and Development of Intelligent Systems ISBN: 9783030392369 |
| DOI: |
10.1007/978-3-030-39237-6_1 |
| Popis: |
Progressive developments in the world of Information and Communications Technology open up many frontiers in the educational sector. One of such is adaptive e-learning systems, which is currently attracting a lot of research and development. Several conceptualisations and implementations rely on single parameters, or at most three or four parameters. This is not sufficient to account for the wide range of factors which can affect the learning process in an unconventional learning environment such as the web. Being able to choose relevant parameters for personalisation in different learning scenarios is vital to accommodate a wide range of these factors. In this paper, we’ll do a review of the basic concepts and components of an adaptive e-learning system. Afterwards, we’ll present a model of an adaptive e-learning system which generates a specialised curriculum for a learner based on a multi-parameter approach, thereby allowing for more choices in the process of creating a personalised and learner-oriented experience for such user. This will involve assembling (and/or suggesting) learning resources encompassed in a general curriculum and adapting it to specific personalities and preferences of users. The degree of adaptation (of the curriculum) is dependent on a weighted algorithm matching user features (relevant in each learning scenario) to the corresponding features of available learning resources. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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