Personalisation of MOOCs - The State of the Art

Sunar, Ayşe Saliha; Abdullah, Nor Aniza; White, Su; Davis, Hugh C.

doi:10.5220/0005445200880097

Cited by 39 publications

(16 citation statements)

References 23 publications

(25 reference statements)

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“…In this work, we expanded our survey has been done in [7]. Available literature has been searched on several academic databases between 2011 and July 2015 with the keywords "MOOCs personalisation" and "adaptive MOOCs".…”

Section: Methodsmentioning

confidence: 99%

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Personalisation in MOOCs: A Critical Literature Review

Sunar

Abdullah

White

et al. 2016

Communications in Computer and Information Science

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Abstract. The advent and rise of Massive Open Online Courses (MOOCs) have brought many issues to the area of educational technology. Researchers in the field have been addressing these issues such as pedagogical quality of MOOCs, high attrition rates, and sustainability of MOOCs. However, MOOCs personalisation has not been subject of the wide discussions around MOOCs. This paper presents a critical literature survey and analysis of the available literature on personalisation in MOOCs to identify the needs, the current states and efforts to personalise learning in MOOCs. The findings illustrate that there is a growing attention to personalisation to improve learners' individual learning experiences in MOOCs. In order to implement personalised services, personalised learning path, personalised assessment and feedback, personalised forum thread and recommendation service for related learning materials or learning tasks are commonly applied.

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Section: Methodsmentioning

confidence: 99%

“…Cook et al [7] propose a user model for MOOCs. The proposed user model tracks learners' activities such as when a learner loads a document or when a learner checks a problem.…”

Section: Category 3: Implementationmentioning

confidence: 99%

Personalisation in MOOCs: A Critical Literature Review

Sunar

Abdullah

White

et al. 2016

Communications in Computer and Information Science

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“…Even though Personalization in TEL is a research topic with a long history, studies on MOOCs personalization have started since 2013 (Sunar et al, 2015). In this context, different personalization approaches have been adopted.…”

Section: Related Workmentioning

confidence: 99%

A System to Recommend Open Educational Resources during an Online Course

Hajri

Bourda

Popineau

2018

Proceedings of the 10th International Conference on Computer Supported Education

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Recently, personalization in Technology Enhanced Learning (TEL) has been researched extensively. With the spreading of online learning environments (OLE) as MOOCs and LMSs, a large number of learners with different characteristics and backgrounds can follow online courses. To support personalization, recommender systems can be used to provide each learner with learning objects helping him to reach his learning objectives. These recommendations are more specific to compute than usual recommendations (like consumer products). Furthermore, if they are included in a course, they depend not only on the learner's profile but also on the content of the course, because they need to fit with the course format at any point. At the same time, there is a growing number of open educational resources (OER) available to usefully enrich the content of online courses. To facilitate their reuse some of these OERs are described with metadata schemas following Linked Open Data principles (LOD). In this paper, we introduce a MOOC-based OER recommender system (MORS) that can be plugged in an OLE to provide recommendations of OERs to learners based on their profiles, the course profile and a process for calculating recommendations based on OERs metadata. This paper presents our approach that has been implemented in a MOOC platform: Open edX. However the proposed approach could be implemented in any OLE by using the same process to calculate recommendations, as long as the learner and the course profiles can be extracted.

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“…Like many learners, those studying MOOCs (and many other online learning platforms) tend to have different backgrounds and motivations, but with the additional challenge of being highly geographically dispersed. However, initial work by Sunar et al (2015) has suggested that current MOOC pedagogical designs do not address these individual characteristics effectively. We expand Sunar et al's work to examine TEL as a whole, as not every online learner is studying a MOOC.…”

Section: Introductionmentioning

confidence: 99%

A literature synthesis of personalised technology-enhanced learning: what works and why

FitzGerald

Jones²,

Kucirkova³

et al. 2018

Research in Learning Technology

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Personalised learning, having seen both surges and declines in popularity over the past few decades, is once again enjoying a resurgence. Examples include digital resources tailored to a particular learner's needs, or individual feedback on a student's assessed work. In addition, personalised technology-enhanced learning (TEL) now seems to be attracting interest from philanthropists and venture capitalists indicating a new level of enthusiasm for the area and a potential growth industry. However, these industries may be driven by profit rather than pedagogy, and hence it is vital these new developments are informed by relevant, evidence-based research. For many people, personalised learning is an ambiguous and even loaded term that promises much but does not always deliver. This paper provides an in-depth and critical review and synthesis of how personalisation has been represented in the literature since 2000, with a particular focus on TEL. We examine the reasons why personalised learning can be beneficial and examine how TEL can contribute to this. We also unpack how personalisation can contribute to more effective learning. Lastly, we examine the limitations of personalised learning and discuss the potential impacts on wider stakeholders.

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Personalisation of MOOCs - The State of the Art

Cited by 39 publications

References 23 publications

Personalisation in MOOCs: A Critical Literature Review

Personalisation in MOOCs: A Critical Literature Review

A System to Recommend Open Educational Resources during an Online Course

A literature synthesis of personalised technology-enhanced learning: what works and why

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