Measuring the Quality of Test-based Exercises Based on the Performance of Students

Author:

Arruarte Josu,Larrañaga Mikel,Arruarte Ana,Elorriaga Jon A.

Funder

Basque Government

MCIU/AEI/FEDER, UE

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Education

Reference37 articles.

1. Amedei, J., Piwek, P., & Willis, A. (2918). Evaluation Methodologies in Automatic Question Generation 2013–2018. In Proceedings of the 11th International Conference on Natural Language Generation (pp. 307–317).

2. Arruarte, A., Fernández, I., Ferrero, B., & Greer, J. (1997). The IRIS Shell: How to Build ITSs from Pedagogical and Design Requisites. Journal of Artificial Intelligence in Education, 8, 341–381.

3. Arruarte, A., Fernández, I., & Greer, J. (1996). The CLAI Model. A Cognitive Theory to Guide ITS Development. Journal of Artificial Intelligence in Education, 7(3/4), 277–313.

4. Arruarte, A., Ferrero, B., Fernández-Castro, I., Urretavizcaya, M., Álvarez, A., & Greer, J. (2003). The IRIS Authoring Tool. In T. Murray, S. Ainsworth & S. Blessing (Eds.), Automating Tools for Advanced Learning Environments (pp. 233–267). Dordrecht: Kluwer Academic Publishers.

5. Baker, B. M. (2007). A conceptual framework for making knowledge actionable through capital formation, D.M. dissertation, University of Maryland, College Park, USA.

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