Data and education 16 may 2014 haggard london
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The Rush for Mobile Education
Let’s talk about user Data
London 16 `May 2014Stephen Haggard
Consultant in Educational Technology
Reflections based on case studies for UNESCO and Web Foundation• SMS and USSD app for
pupil quizzing • SMS Professional
learning app for farmers
CDRs - proven role for mobile data in Development
Society: traffic management
Health: epidemic tracking
Adoption improvement – proven role for data mining
What about data in mobile learning ?
“If you think technology can solve your education problems, then you don't understand the problems and you don't understand the technology. The solution lies in process and systems -- and people”
Mike Trucano
Data mining is most helpful to disadvantaged learners
Impact of data-driven content recommendation on students in 4 US community colleges and state universities, 2013
Mobile Education appreaching 200,000 pupils
Data ConsumersLearners guidance on:Focus areas, targets
Parents supervisePupil performanceSchool performance
Education Ministry monitoring results by:School, region & teacher
Price KS30/mValue KS3bn/m
Price FREE
Case
Study 1
100,000 users of rural smallholder SMS education service
Benefits to sponsoring organisation• Controls value chain, has satellite
surveys of all plots, owns user data• (mis)perceived to be a source of
loans or subsidies Benefits to farmers• SMS guide reduces costs (<80%)• Training centres, literacy,
numeracy etc. 40% participation • Yield increases <25%
Data captured : farm size, yield, name, age, picture, phone number, enquiries, sales, e-commerce Case
Study 2
Good for everyone ?
Issues
• Consent & ownership of data• How can we spread benefts • Incentivisations based on data-driven insights:
WHOM should they support– Company revenue– Best-progressing learners– Most needy learners
Open Data CommonsTh
ank y
ou
@st
ephe
ndh