Research with Simulated Data

Main Article Content

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.

Article Details

How to Cite
Hershkovitz, A., Knight, S., Jovanovic, J., Dawson, S., & Gasevic, D. (2017). Research with Simulated Data. Journal of Learning Analytics, 4(1), 1–2. https://doi.org/10.18608/jla.2017.41.1
Section
Editorial

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.