Integrating Assessment, Feedback, and Learning Analytics in Educational Games

Author:

Chaudy Yaëlle1,Connolly Thomas M.1

Affiliation:

1. University of the West of Scotland, UK

Abstract

Assessment is a crucial aspect of any teaching and learning process. New tools such as educational games offer promising advantages: they can personalize feedback to students and save educators time by automating the assessment process. However, while many teachers agree that educational games increase motivation, learning, and retention, few are ready to fully trust them as an assessment tool. A likely reason behind this lack of trust is that educational games are distributed as black boxes, unmodifiable by educators and not providing enough insight about the gameplay. This chapter presents three systematic literature reviews looking into the integration of assessment, feedback, and learning analytics in educational games. It then proposes a framework and present a fully developed engine. The engine is used by both developers and educators. Designed to separate game and assessment, it allows teachers to modify the assessment after distribution and visualize gameplay data via a learning analytics dashboard.

Publisher

IGI Global

Reference114 articles.

1. Investigating the impact of video games on high school students’ engagement and learning about genetics

2. Arroyo, D. M., Rodríguez, P. S., Calle, D. P., Kloos, C. D., Espiga, M. I., & Hernández-Leo, D. (2010). Assessment in 3D virtual worlds: QTI in Wonderland. Paper presented at the Congreso iberoamericano de informática educativa, Santiago de Chile.

3. Individualized skill assessment in digital learning games: Basic definitions and mathematical formalism. Learning Technologies;T.Augustin;IEEE Transactions on,2011

4. Individualized skill assessment in educational games: The mathematical foundations of partitioning

5. Bader-Natal, A., & Lotze, T. (2011). Evolving a learning analytics platform. Paper presented at the 1st International Conference on Learning Analytics and Knowledge, Banff, Alberta, Canada.

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