FLAN conference: MOOCs, personalisation, social networks

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The State of the Art of Personalised MOOCs & The Importance of Social Learning Networks Analysis Ayşe Saliha SUNAR 15.06.2015

Transcript of FLAN conference: MOOCs, personalisation, social networks

Page 1: 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

Page 2: FLAN conference: MOOCs, personalisation, social networks

Ayşe Saliha Sunar @aysesCS 2

My education journey

15 June 2015

TurkeyBSc: Mathematics

Japan

MSc: Intelligent Tutoring Systems

United KingdomPhD:

Learning Analytics & Personalisation & MOOCs

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Ayşe Saliha Sunar @aysesCS 315 June 2015

MOOC Datasets management

Data Analysis

Curation:Academic Literature (Mendeley) Journalistic literature (Scoop.it)

Blog

Training

Publications

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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

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The State of the Art of Personalised MOOCs

15 June 2015

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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

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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?

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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

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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

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Findings Several techniques used for addressing

several issues

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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

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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?

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The Importance of Social Learning Networks

Analysis

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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?

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Analysis of DYRP MOOC

This study has been submitted as a full paper to ICKM2015.

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Week1

Week4

Week7

Week2

Week5

Week8

Week3

Week6

Learners’ interactions and the strength of their interactions in each week

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Recurrent interactions in DYRP

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Only 19 peers interacted multiple times in different weeks!

Those learners joined all weeks and completed the course.

The recurrent interactions

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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?

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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.

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Learners who have continuous friendships could sustain their interactions and most likely complete the course.

Hypothesis

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Mendeley

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Collection of paper on personalisation in MOOCs

https://www.mendeley.com/groups/4715311/mooc-personalisation

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Ayşe Saliha Sunar @aysesCS 1915 June 2015

@aysesCS

[email protected]