learner profiling beyond the mooc platform
TRANSCRIPT
Learner profiling beyond the MOOC platform
Guanliang Chen, Dan Davis, Jun Lin, Claudia Hauff, Geert-Jan Houben
Whythis research?
Learner
Engagement, retention, …
During the MOOC
Whythis research?
Learner
Before the MOOC
NOTHING
Engagement, retention, …
During the MOOC
Whythis research?
Learner
Before the MOOC
NOTHING
Engagement, retention, …
During the MOOC
NOTHING
After the MOOC
Howto solve the problem?
We propose:
a deeper understanding about learnerscan be gained by exploring their traces on the Social Web.
Whatresearch questions?
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 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 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 relevant to the online learning experience? 3
Learner identificationacross Social Web platforms
edX learners
Email Login name Full name+ +
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
Social Web platformsinvolved in our work
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
Twitter- To predict learners’ demographics (e.g., age & gender)
Learners on
Linkedin- Using job titles & skills to characterise learners
Learners on
Linkedin- Using job titles & skills to characterise learners
Data Analysis MOOC- Software Engineer- Business Analyst- …
Learners on
Linkedin- Using job titles & skills to characterise learners
Data Analysis MOOC- Software Engineer- Business Analyst- …
Design Approach MOOC- Co founder- UX designer- …
Learners on
Linkedin- Using job titles & 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
