Welcome to the home page of ASSISTments Dataset from Multiple Randomized Controlled Experiments.
Selent, D., Patikorn, T., & Heffernan, N. (2016, April). ASSISTments Dataset from Multiple Randomized Controlled Experiments. In Proceedings of the Third (2016) ACM Conference on Learning@ Scale (pp. 181-184). ACM.
There are papers that we have written that follow up on using this data set. Have come to all this data the 22Experiments data set and if go here you can see other papers that have been written by others that have used this data set.
The following papers assess the impacts of treatment effects:
SP24 Sales, A. C., Botelho, A. F., Wu, E., Gagnon-Bartsch, J., Miratrix, L., Patikorn, T. & Heffernan, N. T. (2018) Residualization Methods to Better Estimate Treatment Effects in Randomized Controlled Trials. Presented at the Conference on Digital Experimentation (CODE) held at MIT. View recorded talk here. Here in youtube.
CP88 Sales, A., Botelho, A. F., Patikorn, T., & Heffernan, N. T. (2018, July). Using Big Data to Sharpen Design-Based Inference in A/B Tests. In Proceedings of the Eleventh International Conference on Educational Data Mining, 479-485. Retrieved from https://files.eric.ed.gov/fulltext/ED593197.pdf Corrected Version is here