The personalization of e-learning systems with the contrast of strategic knowledge and learner’s learning preferences: an investigatory analysis
| Autor: | Alan Mustafa |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Applied Computing and Informatics, Vol 17, Iss 1, Pp 153-167 (2021) |
| Druh dokumentu: | article |
| ISSN: | 2210-8327 2634-1964 |
| DOI: | 10.1016/j.aci.2018.08.001/full/pdf |
| Popis: | In this study, reasons for proving the relevancy of personalisation of e-learning systems to act as a knowledge management system in which tacit to tacit type of knowledge (socialisation) can be delivered, are being provided. Nonaka’s knowledge conversion model is being used as the basis of the investigation. The relationship between ‘the strategic knowledge conversion model’ drawn from the ‘identifying list of strategies’ and ‘an individual’s decision-making method’ has been investigated in relation to knowledge transferring systems and individual’s learning styles. The outcome of the qualitative as well as quantitative investigation defines a set of frameworks in which different types of e-learning systems utilizing different learning philosophies and learners learning preferences to support the learner’s learning curve. |
| Databáze: | Directory of Open Access Journals |
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