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.
|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||Sixth International Conference on Learning Analytics & Knowledge|
|Period||25/04/16 → 29/04/16|
Fields of Expertise
- Information, Communication & Computing