Abstract
One-digit multiplication errors are one of the most exten- sively analysed mathematical problems. Research work pri- marily emphasises the use of statistics whereas learning an- alytics can go one step further and use machine learning techniques to model simple learning misconceptions. Prob- abilistic programming techniques ease the development of probabilistic graphical models (bayesian networks) and their use for prediction of student behaviour that can ultimately influence learning decision processes.
Original language | English |
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Pages | 449-453 |
DOIs | |
Publication status | Published - 26 Apr 2016 |
Event | Sixth International Conference on Learning Analytics & Knowledge - Edingburg, United Kingdom Duration: 25 Apr 2016 → 29 Apr 2016 |
Conference
Conference | Sixth International Conference on Learning Analytics & Knowledge |
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Country/Territory | United Kingdom |
City | Edingburg |
Period | 25/04/16 → 29/04/16 |
Fields of Expertise
- Information, Communication & Computing