Awareness and perception among academicians in utilizing personalised learning management system: A case study

• Published in: Proceedings of the 29th International Business Information Management Association Conference - Education Excellence and Innovation Management through Vision 2020: From Regional Development Sustainability to Global Economic Growth
• Main Author: Abdullah H.; Wahidin I.S.; Ibrahim K.; Rahman S.A.; Arshad S.R.; Zain S.A.M.
• Format: Conference paper
• Language: English
• Published: International Business Information Management Association, IBIMA 2017
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029764436&partnerID=40&md5=665a0e638acaff87a9be23688c7c6454

The information and communication technology (ICT) penetrates all human activities ranging from economic, business, banking, administration, education and communication since last two decades. In the field of education, the university utilizes the ICT in all administrative areas including teaching and learning and delivery of educational resources by development of university or institutional learning management system (ILMS). On top of the ILMS, the personalized learning management system (PLMS) have also developed by individual educator or lecturer in delivering personalized teaching resources as complimentary for ILMS taking advantage of the ICT capabilities. However, the number of PLMS is considerably fewer. This indicates that, despite the advantage of having PLMS for teaching and learning of individual course, the literature reveals vice versa. This study is conducted to examine the educators' awareness and perceptions towards the PLMS. The study setting is University Teknologi MARA, Malaysia using a survey method involving educators/lecturers as respondents. The findings suggest that the Awareness, Perceived Usability, Perceived Advantages, Perceived Development and Perceived Technological Requirements are associated with the use of PLMS. A sole variable namely Perceived Advantages is identified to be a significant predictor of the use of PLMS.