Title: Standardizing Adaptive Learning through Cloud Computing: A Decision-making Framework for Higher Education

Issue Number: Vol. 5, No. 4
Year of Publication: Dec - 2019
Page Numbers: 122-133
Authors: Karim Mualla
Journal Name: The International Journal of E-Learning and Educational Technologies in the Digital Media (IJEETDM)
- Hong Kong
DOI:  http://dx.doi.org/10.17781/P002631


It has been predicted that in the near future students will design their own educational degrees based on their interests, learning approaches, and career objectives. Adaptive learning is defined as an educational method in which students’ bespoke interests are identified, measured, and continuously monitored through information and communication technologies. As a result, this process will enable students to create a customised learning pathway for their undergraduate and postgraduate studies. Cloud computing utilises the internet’s capabilities to facilitate scalable processing, storage, retrieval of information, and the development of applications. These services are delivered and measured based on accurate user-demand, and through a real-time, location-independence, and self-service model. While cloud computing is accessed through a broad network, this creates an ideal environment for designing an interdisciplinary adaptive learning platform. This research examines the applicability of utilising new generation cloud solutions to develop a scalable methodology for adaptive learning. The project outlines both a speculative and directional decision-making framework for managers in higher education. This framework is aimed to reduce ICT management effort related to programme design and cost, and compel better teaching and learning processes by raising students’ interest to learn.