Abstract:

The use of technology to customize and personalize the eLearning process is one way to overcome a number of issues and difficulties associated with delivery and effectiveness of eLearning. The rise of massive open online courses or MOOCs attempted to address the mass education exodus that the advent of the World-Wide Web brought about. These were even more supported by a favourable international market and an escalation in information and communications technology in general. To address this unfavourable conjecture towards eLearning, a number of techniques will be investigated to explore their potential at adding value to what eLearning can offer. The techniques include CrowdSourcing (CS) as a concept that harnesses socially-mediated collaborations, playing a key role in such a scenario. The use of Personal Learning Environments (PLE) to bring together the different sources and techniques will also be investigated as a potential proof-of-concept environment. And finally, techniques from the Artificial Intelligence (AI) domain will be factored in as they will contribute to automatize the user-profiling process to adjust the content accordingly.

Keywords:

e-learning, machine learning, social network, crowdsourcing, personal learning environment.