2014 Does ARRS lead to better assessment?

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:

1. The paper [download]

2. The ASSISTments data used [download]

3. The MATLAB code used in the experiments [download]

4. A brief introduction to the ARRS system from a teacher perspective is here. A video introduction is here.

   1. And older version of this work that did not make a distinction between easy and hard skill is here paper

   2. Some similar work that has been presented at AERA are here

      1. 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.

      2. 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.

5. The features used in this study:

1. The post-test prints [download]

2. If you want an even more detailed amount of data for this study (that is info on every problem that every kid did) you can find it here.

Funding came, in part, from this NSF grant as well this IES grant. Both web sites provide a little more detail.