In this work we focus on immediate feedback during technology enhanced assessment. We distinguish two types of feedback: just after answering a test item or just after the completion of a test (cumulative feedback). We identified three challenges related to generation of formative feedback: (1) the lack of information about the user at beginning of the test; (2) the identification of features for the feedback generation on the item level, (3) generation of formative cumulative feedback from limited contextual information. We approach these challenges by creating a user model incrementally from observed user behavior. The conceptual model is validated in an e-learning platform EAGLE targeting information literacy, ICT literacy, and change management in an adult professional learning environment.
CITATION STYLE
Höhn, S., & Ras, E. (2016). Designing formative and adaptive feedback using incremental user models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10013 LNCS, pp. 172–177). Springer Verlag. https://doi.org/10.1007/978-3-319-47440-3_19
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