Using Learning Analytics to Devise Interactive Personalised Nudges for Active Video Watching
- Submitting institution
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The University of Leeds
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- UOA11-699
- Type
- E - Conference contribution
- DOI
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10.1145/3079628.3079683
- Title of conference / published proceedings
- UMAP '17: Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization
- First page
- 22
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- July
- Year of publication
- 2017
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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4
- Research group(s)
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B - AI (Artificial Intelligence)
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Unique approach that links analytics and personalisation (most works address only one of them and do not show the connection) leading to a novel nudge framework. Published in the premier user modelling conference. The nudges are implemented in an extended version of AVW, trialled with ~1000 Engineering students in NZ with positive impact (AIED2019). Long lasting international collaboration with the University of Canterbury, follow on collaboration with Duisburg-Essen-University (best technical paper at ICCE2017). Adoption of the nudge-based personalisation approach in healthcare education (with Health Education England, £80K); and KTP project with Scaled Insights (£200K). Keynotes at ITS2018 and ICCE2020.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
