The personalization of e-learning systems with the contrast of strategic knowledge and learner's learning preferences: an investigatory analysis. Issue 1 (21st July 2020)

• Record Type: Journal Article
• Authors: Mustafa, Alan
• Is Part Of: Applied computing and informatics. Volume 17:Issue 1(2021)
• Page Start: 153
• Page End: 167
• Publication Date: 2020-07-21
• Subjects: E-learning systems -- Knowledge management systems -- Personalisation -- Learning preferences -- Tacit knowledge -- Strategic knowledge management; Information science -- Periodicals; Information storage and retrieval systems -- Periodicals; 004
• DOI: 10.1016/j.aci.2018.08.001
• Languages: English
• ISSNs: 2210-8327

Abstract

Abstract : 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.