Research with Simulated Data

Authors

  • Arnon Hershkovitz Tel Aviv University
  • Simon Knight
  • Jelena Jovanovic
  • Shane Dawson
  • Dragan Gasevic

DOI:

https://doi.org/10.18608/jla.2017.41.1

Keywords:

learning analytics, LAK, simulated data, simulated learners

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.

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.

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Published

2017-03-14

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

Issue

Vol. 4 No. 1 (2017): Selected and Extended Papers from the Sixth International Conference on Learning Analytics & Knowledge

Section

Editorial

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