Authors:
Ayse Saliha Sunar
1
;
Nor Aniza Abdullah
2
;
Su White
1
and
Hugh C. Davis
1
Affiliations:
1
University of Southampton, United Kingdom
;
2
University of Southampton and University of Malaya, United Kingdom
Keyword(s):
Personalisation, Adaptive Online Learning, Connectivism, MOOCs.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Computer-Supported Education
;
Distance and e-Learning in a Global Context
;
e-Learning
;
e-Learning Hardware and Software
;
e-Learning Platforms
;
Enterprise Information Systems
;
Information Technologies Supporting Learning
;
Intelligent Tutoring Systems
;
Learning Analytics
;
Learning/Teaching Methodologies and Assessment
;
Mentoring and Tutoring
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Social Context and Learning Environments
Abstract:
Researchers in the field of educational technology are paying huge attention to the widespread adoption of
Massive Open Online Courses (MOOCs) in the study of learning online. MOOCs are discussed in many
angles including pedagogy, learning sustainability, and business model. However, there are very few
discussions around MOOCs personalisation. In this paper, it is aimed to examine and analyse the literature
on personalisation of MOOCs to identify the needs, the current states and efforts to personalise learning in
MOOCs. The findings denote that the pedagogical design of MOOCs is currently insufficient due to
massive and geographically dispersed learners with diverse educational backgrounds, learning requirements
and motivations. Many believe that personalisation could address this lacking in MOOCs. Among the most
popular services being proposed or implemented in the literature are personalised learning path,
personalised assessment and feedback, personalised forum thread and recomme
ndation service for related
learning materials or learning tasks.
(More)