arrs
This is the web page for the paper The Effect of Automatic Reassessment and Relearning on Assessing Student Long-term Knowledge in Mathematics, published in the proceedings of the 2014 International Conference on Intelligent Tutoring Systems by Yutao Wang and Neil T. Heffernan.
Included here are the following:
The paper [download]
The ASSISTments data used [download]
The MATLAB code used in the experiments [download]
A brief introduction to the ARRS system from a teacher perspective is here. A video introduction is here.
And older version of this work that did not make a distinction between easy and hard skill is here paper
Some similar work that has been presented at AERA are here
Pellegrino, G., Goldman, S., Goldman, S., Stoelinga, T., Heffernan, N., & Heffernan, C. (2014) Technology Enabled Assessment:Adapting to the Needs of Students and Teachers. American Educational Research Association (AERA 2014) Conference.
Soffer, D., Das, V., Pellegrino, G., Goldman, S., Heffernan, N., Heffernan, C.,& Dietz, K. (2014) Improving Long-term Retention of Mathematical Knowledge through Automatic Reassessment and Relearning. American Educational Research Association (AERA 2014) Conference. Division C - Learning and Instruction / Section 1c: Mathematics. PDF (peer reviewed but unknown rate) Poster Nominated for the best poster of the session.
The features used in this study: