Terms of use for ASSISTments data sets available at
[ASSISTments website][1]
We request that all papers using this data set cite one of the following three papers:
(Use of rural, suburban, and urban data sets)
Ocumpaugh, J., Baker, R., Gowda, S., Heffernan, N., Heffernan, C. (2014) Population validity for Educational Data Mining models: A case study in affect detection. British Journal of Educational Technology, 45 (3), 487-501.
[pdf][2]
[Use of suburban and urban data sets)
Pardos, Z.A., Baker, R.S., San Pedro, M.O.C.Z., Gowda, S.M., Gowda, S.M. (2014) Affective states and state tests: Investigating how affect and engagement during the school year predict end of year learning outcomes. Journal of Learning Analytics, 1 (1), 107-128.
[pdf][3]
(Comparisons to deep learning model of student affect, for urban and suburban populations)
Botelho, A.F., Baker, R., Heffernan, N. (2017) Improving Sensor-Free Affect Detection Using Deep Learning. Proceedings of the 18th International Conference on Artificial Intelligence in Education, 40-51.
[pdf][4]
[1]: https://docs.google.com/file/d/0B2X0QD6q79ZJd05rWl9kcWtoSjg/edit
[2]: https://www.upenn.edu/learninganalytics/ryanbaker/BJET%20revised2%202013%20v30jlo%20%281%29.pdf
[3]: https://www.upenn.edu/learninganalytics/ryanbaker/3536-15645-1-ED-v3.pdf
[4]: https://www.upenn.edu/learninganalytics/ryanbaker/paper_59.pdf