Research with Simulated Data

Arnon Hershkovitz
Simon Knight
Jelena Jovanovic
Shane Dawson
Dragan Gasevic

Abstract


This first issue of the Journal of Learning Analytics in 2017 features a special section of invited papers from the recent Learning Analytics and Knowledge conference (LAK'16). The theme of the conference, and this special section, relates to the need for Learning Analytics research to challenge our methodological and theoretical assumptions and build new interdisciplinary connections to further our thinking.


Keywords


learning analytics, LAK, simulated data, simulated learners

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References


Berg, A.M., Mol, S.T., Kismihók, G., & Sclater, N. (2016). The role of reference synthetic data generator within the field of learning analytics. Journal of Learning Analytics, 3(1), 107-128.

Pelánek, R., Řihák, J., & Papoušek, J. (2016). Impact of data collection on interpretation and evaluation of student models. Proceedings of the Sixth International Learning Analytics & Knowledge Conference, 40-47.




DOI: http://dx.doi.org/10.18608/jla.2017.41.1

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