Publications

Publications about the project and web application. For papers linked to datasets, see the Dataset Info tab of a dataset in the web application.

To cite the DataShop web application and repository:

Please include the following reference in your publication:

Koedinger, K.R., Baker, R.S.J.d., Cunningham, K., Skogsholm, A., Leber, B., Stamper, J. (2010) A Data Repository for the EDM community: The PSLC DataShop. In Romero, C., Ventura, S., Pechenizkiy, M., Baker, R.S.J.d. (Eds.) Handbook of Educational Data Mining. Boca Raton, FL: CRC Press.
[PDF, 427 KB]

You might also cite our URL in the text of your paper:

For exploratory analysis, I used the PSLC DataShop, available at http://pslcdatashop.org (Koedinger et al., 2010).

To cite a dataset for secondary analysis:

Determine a primary paper for the dataset and reference it. A primary paper is an article published by the owner of the dataset containing their analysis. Many datasets will have such a paper attached to the dataset under the Papers and Files section. If you're not sure which paper the primary researcher(s) would like to have cited (or if no paper is listed), contact us and we will put you in touch with them or determine an appropriate paper for citing.

To cite a dataset for secondary analysis that does not have an owner (for example, a "course" dataset collected over the duration of a school year), determine an appropriate "global" paper for the domain. For example, to reference a mathematics course dataset, you could cite a recent book chapter on Cognitive Tutors.

Other DataShop publications:

Stamper, J., Koedinger, K.R., Baker, R., Skogsholm, A., Leber, B., Demi, S., Yu, S., Spencer, D. (2011) Managing the Educational Dataset Lifecycle with DataShop. In Kay, J., Bull, S. and Biswas, G. eds. Proceedings of the 15th International Conference on Artificial Intelligence in Education (AIED2011) (pp. 557559). Berlin: Springer-Verlag.
[PDF, 95 KB]

Koedinger, K., Cunningham, K., Skogsholm A., & Leber, B. (2008). An open repository and analysis tools for fine-grained, longitudinal learner data. In Baker, R.S.J.d., Barnes, T., Beck, J.E. (Eds.), Educational Data Mining 2008: 1st International Conference on Educational Data Mining, Proceedings. Montreal, Quebec, Canada. June 20-21, 2008 (pp. 157-166).
[PDF, 963 KB]