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Intervention and actions
based on educational data
Pedro J. Muñoz-Merino
Universidad Carlos III de Madrid
Twitter: @pedmume
Email: pedmume@it.uc3m.es
Introducción
 Educational Data -> analyse ->
interventions-> improvement of the
learning process
 Technical: tools and services
 Institutional adoption
2
Visualization systems:
Improvement of the contents
3
Visualization systems:
Personalized feedback
4
Automatic decissions: Adaptive
systems
5
PJ Muñoz-Merino, R. Gonzalez Novillo, C Delgado Kloos: "Assessment of
skills and adaptive learning for parametric exercises combining knowledge
spaces and item response theory. Appl. Soft Comput. 68: 110-124 (2018)
Prediction about the future
• Prediction about
• Learning gains
• Certificate earners
• Social activity
• Cheating
• System behaviours
• Personality
6
SHEILA project
7
http://sheilaproject.eu/
Methodology
Literature
- Policy
- Adoption
Academic
staff
- Survey
- Focus groups
Students
- Survey
- Focus
groups
Senior
managers
- Survey
- Interviews
Experts
- Group concept
mapping
Policy
framework
Institutional
policy/strategy
Other
stakeh.
- Workshops
- Committees
http://sheilaproject.eu/
SHEILA MOOC
9
http://sheilaproject.eu/
https://t.co/ZhlGM5FYlf
LALA project
10
 Build capacity in Latin American higher education institutions to
create, adapt, implement learning analytics tools to improve the
academic decision processes
 https://www.lalaproject.org/
11

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