Beyond the MOOC platform: Gaining Insights about Learners from the Social Web
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Transcript of Beyond the MOOC platform: Gaining Insights about Learners from the Social Web
Beyond the MOOC platform:Gaining Insights about Learners
from the Social Web Guanliang Chen, Dan Davis, Jun Lin,
Claudia Hauff, Geert-Jan HoubenWeb Information Systems, TU Delft
Whythis research?
Learner
Before MOOC
NOTHING
Engagement, retention, …
During MOOC
NOTHING
After MOOC
Howto solve the problem?
We propose:
a deeper understanding about learnerscan be gained by exploring their traces in the Social Web.
Whatresearch questions?
1 On what Social Web platforms can a significant fraction of MOOC learners be identified?
Whatresearch questions?
1 On what Social Web platforms can a significant fraction of MOOC learners be identified?
Are learners who demonstrate specific sets of traitson the Social Web drawn to certain types of MOOCs? 2
Whatresearch questions?
1 On what Social Web platforms can a significant fraction of MOOC learners be identified?
Are learners who demonstrate specific sets of traitson the Social Web drawn to certain types of MOOCs? 2
To what extent do Social Web platforms enable us to observe (specific) user attributes
that are highly relevant to the online learning experience? 3
Learner Identificationacross Social Web platforms
edX learners
Email Login name Full name+ +
1. Explicit Matching
Profile images & links
Identification via emails
Learner Identificationacross Social Web platforms
edX learners
Email Login name Full name+ +
1. Explicit Matching
Profile images & links
Identification via emails
2. Direct Matching
Identification via profile links from Step 1
Learner Identificationacross Social Web platforms
edX learners
Email Login name Full name+ +
1. Explicit Matching
Profile images & links
Identification via emails
2. Direct Matching
Identification via profile links from Step 1
3. Fuzzy Matching
Search learners by their login & full names
Compare: 1. profile link2. profile image3. login & full names
Learner Identificationacross Social Web platforms
edX learners
Email Login name Full name+ +
1. Explicit Matching
Profile images & links
Identification via emails
2. Direct Matching
Identification via profile links from Step 1
3. Fuzzy Matching
Search learners by their login & full names
Compare: 1. profile link2. profile image3. login & full namesMATCH !
Matching Resultsfor 18 DelftX MOOCs
Lowest Highest Overall
Gravatar 4,37% 23,49% 7,81%
Twitter 4,99% 17,58% 7,78%
Linkedin 3,90% 11,05% 5,89%
StackExchange 1,23% 21,91% 4,58%
GitHub 3,43% 41,93% 10,92%
Matching Resultsfor 18 DelftX MOOCs
Lowest Highest Overall
Gravatar 4,37% 23,49% 7,81%
Twitter 4,99% 17,58% 7,78%
Linkedin 3,90% 11,05% 5,89%
StackExchange 1,23% 21,91% 4,58%
GitHub 3,43% 41,93% 10,92%
On average, 5% of learners can be identified on globally popular Social Web platforms.
Learners on
Linkedin- Using skills to characterise learners
- Visualised by applying t-SNE techniques.
Learners onStackExchange
- Functional Programming learners in StackOverflow
- To what extent do learners change their question/answering behaviour during and after a MOOC?
Learners on
GitHub- To what extent do learners transfer their acquired
knowledge into practice?- Functional Programming learners
Take-homeMessages
On average, 5% of learners from 18 DelftX MOOCscan be identified on 5 globally popular Social Web platforms. 1
Take-homeMessages
On average, 5% of learners from 18 DelftX MOOCscan be identified on 5 globally popular Social Web platforms. 1
Learners with specific traits prefer different types of MOOCs.2
Take-homeMessages
On average, 5% of learners from 18 DelftX MOOCscan be identified on 5 globally popular Social Web platforms. 1
Learners with specific traits prefer different types of MOOCs.2
Learners’ post-course behaviour can be investigated by using their external Social Web traces.3
http://bit.ly/wis-learning-analytics
Thanks for your participation!