FLAN conference: MOOCs, personalisation, social networks
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Transcript of FLAN conference: MOOCs, personalisation, social networks
The State of the Art of Personalised MOOCs
& The Importance of Social
Learning Networks AnalysisAyşe Saliha SUNAR
15.06.2015
Ayşe Saliha Sunar @aysesCS 2
My education journey
15 June 2015
TurkeyBSc: Mathematics
Japan
MSc: Intelligent Tutoring Systems
United KingdomPhD:
Learning Analytics & Personalisation & MOOCs
Ayşe Saliha Sunar @aysesCS 315 June 2015
MOOC Datasets management
Data Analysis
Curation:Academic Literature (Mendeley) Journalistic literature (Scoop.it)
Blog
Training
Publications
Ayşe Saliha Sunar @aysesCS 4
Motivation
15 June 2015
Opportunity
Personalisation services by using learning analytics
Possible solution
Drawbacks
MOOCs produce large datasets from a large number of learners.
Lack of customised education to meet each learner’s need
Low participation in online discussions & high attrition rate
Ayşe Saliha Sunar @aysesCS 5
The State of the Art of Personalised MOOCs
15 June 2015
6
CSEDU paper
7th International Conference on Computer Supported Education, 23-25 May, 2015, Lisbon
15 June 2015Ayşe Saliha Sunar @aysesCS
Ayse Saliha SUNAR
Nor Aniza ABDULLAH
Hugh C DAVIS
Su WHITE
Ayşe Saliha Sunar @aysesCS 7
Focus of the paperWhat is the nature of the literature on
personalisation in MOOCs?
What kind of issues are addressed by this literature?
What kind of techniques are applied for personalising MOOC education?
Which directions could personalisation attempts in MOOCs lead to?
15 June 2015
Ayşe Saliha Sunar @aysesCS 8
Methodology: Critical & Systematic Literature
Review
15 June 2015
Search for the keywords “MOOCs personalisation” and “adaptive MOOCs” between 2011 and 2014
Google Scholar
The British Journal of Educational Technology
American Journal of Distance Education
Journal of Online Learning and Teaching
ISI Web of Knowledge
IEEEXplorer
Ayşe Saliha Sunar @aysesCS 9
Growing attention to MOOCs personalisation
15 June 2015
2011 2012 2013 20140
100
200
300
400
500
600
700Total results for "MOOCs per-sonalisation"Total results for "adaptive MOOCs"Relevant results for "MOOCs personalisation"Relevant results for "adaptive MOOCs"
The total number of papers and relevant papers by the searches
Ayşe Saliha Sunar @aysesCS 10
Findings Several techniques used for addressing
several issues
15 June 2015
Adaptive content presentation
Poor pedagogical design
Adaptive navigation • Poor content engagement • Lack of study skills
Adaptive feedback Poor feedback
Recommender system • Heterogeneity of learners • High dropouts • Excessive information on
discussion forums
Ayşe Saliha Sunar @aysesCS 11
Use of social network analysis
Researchers analysed enormous data of learners on discussion forums and other social media tools to answer: Which social media tools are used often? Who contributed more? Who interacted with whom? Is there any pattern of relations?
15 June 2015
Ayşe Saliha Sunar @aysesCS 12
The Importance of Social Learning Networks
Analysis
15 June 2015
Ayşe Saliha Sunar @aysesCS 13
Social networks on FLAnalysis of Develop Your Research Project MOOC
(15 September – 5 November 2014 )
Dataset: Learners’ comment on the discussion boards (15 September – 22 November 2014)
Focus of study: How much did the learners contribute to online
discussions? Did they sustain their contribution to online
discussions? Did recurrent interactions occur over the weeks?
15 June 2015
Ayşe Saliha Sunar @aysesCS 14
Analysis of DYRP MOOC
This study has been submitted as a full paper to ICKM2015.
15 June 2015
Week1
Week4
Week7
Week2
Week5
Week8
Week3
Week6
Learners’ interactions and the strength of their interactions in each week
Ayşe Saliha Sunar @aysesCS 15
Recurrent interactions in DYRP
15 June 2015
Only 19 peers interacted multiple times in different weeks!
Those learners joined all weeks and completed the course.
The recurrent interactions
Ayşe Saliha Sunar @aysesCS 16
Use of ‘following’ tab on FL
15 June 2015
Do FutureLearn learners use FOLLOW function efficiently?
Do they use FOLLOWING tab on discussion board for active communication with their following list?
Is the following list usually empty?
Ayşe Saliha Sunar @aysesCS 17
My PhD research
The Follow function on FutureLearn is very convenient for promoting continuous friendships. But it needs to be improved.
A recommender system for friend recommendation could enhance learners’ interactions.
15 June 2015
Learners who have continuous friendships could sustain their interactions and most likely complete the course.
Hypothesis
Ayşe Saliha Sunar @aysesCS 18
Mendeley
15 June 2015
Collection of paper on personalisation in MOOCs
https://www.mendeley.com/groups/4715311/mooc-personalisation