Bayesian modelling of student misconceptions in the one-digit multiplication with probabilistic programming

Research output: Contribution to conferencePaper

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.

Conference

ConferenceSixth International Conference on Learning Analytics & Knowledge
CountryUnited Kingdom
CityEdingburg
Period25/04/1629/04/16

Fields of Expertise

  • Information, Communication & Computing

Cite this

Taraghi, B., Saranti, A., Legenstein, R., & Ebner, M. (2016). Bayesian modelling of student misconceptions in the one-digit multiplication with probabilistic programming. 449-453. Paper presented at Sixth International Conference on Learning Analytics & Knowledge, Edingburg, United Kingdom.DOI: 10.1145/2883851.2883895

Bayesian modelling of student misconceptions in the one-digit multiplication with probabilistic programming. / Taraghi, Behnam; Saranti, Anna; Legenstein, Robert; Ebner, Martin.

2016. 449-453 Paper presented at Sixth International Conference on Learning Analytics & Knowledge, Edingburg, United Kingdom.

Research output: Contribution to conferencePaper

Taraghi, B, Saranti, A, Legenstein, R & Ebner, M 2016, 'Bayesian modelling of student misconceptions in the one-digit multiplication with probabilistic programming' Paper presented at Sixth International Conference on Learning Analytics & Knowledge, Edingburg, United Kingdom, 25/04/16 - 29/04/16, pp. 449-453. DOI: 10.1145/2883851.2883895
Taraghi B, Saranti A, Legenstein R, Ebner M. Bayesian modelling of student misconceptions in the one-digit multiplication with probabilistic programming. 2016. Paper presented at Sixth International Conference on Learning Analytics & Knowledge, Edingburg, United Kingdom. Available from, DOI: 10.1145/2883851.2883895
Taraghi, Behnam ; Saranti, Anna ; Legenstein, Robert ; Ebner, Martin. / Bayesian modelling of student misconceptions in the one-digit multiplication with probabilistic programming. Paper presented at Sixth International Conference on Learning Analytics & Knowledge, Edingburg, United Kingdom.
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