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Personalizing Learning with m-Technologies to Improve Students Performance in South African Higher Learning

Authors:
Refilwe Constance Mogase
Patricia Margaret Alexander

Keywords: Mobile computing, Personalized learning, Technology-supported personalized learning environments, M-Learning

Abstract:
Personalized Learning (PL) is recently being endorsed by higher institutions of learning as strategy for improving students’ engagement and academic attainment. Although existing PL technologies offer some flexibility, there is still room for further innovation to extend this learning support. However, PL still lacks fully adaptive and timely content, which can enhance their flexibility further. Often times, educators’ experiences challenges to provide personal attention to all learners during their contact sessions due to high instructor-learner ratio, particularly in African higher institutions of learning. Therefore, it is imperative for institutions of higher learning to consider integrating PL through use of mobile devices to extend learning beyond the institution’s geographical boundaries. Some theoretical foundations already exist for learning through personalisation and learner perceptions on using technologies to develop effective PL environments. However, there exist the need to develop models for mobile computing personalized learning in the African context to best suit the needs of students from the socio-economic backgrounds in support of their learning environments. The study aims to develop a mobile computing model to enhance PL for students in South African context. Study will apply mixed methods for data collection, while blending design science research (DSR) as a research strategy that will serve as a validation framework for the proposed designed model.

Pages: 77 to 82

Copyright: Copyright (c) IARIA, 2019

Publication date: November 24, 2019

Published in: conference

ISSN: 2308-3492

ISBN: 978-1-61208-754-2

Location: Valencia, Spain

Dates: from November 24, 2019 to November 28, 2019