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TOWARDS FEEDBACK PERSONALISATION IN ADAPTIVE ASSESSMENT

Authors:
Christian Saul
PhD Mari Runardotter
Dr.-Ing. Heinz- Dietrich Wuttke
Typ:
Conferences
Status:
accepted
Date of publication
10/24/2010
Abstract:
Personalised support for learners becomes even more important, when learning takes place in open and dynamic learning and information network environments. It is believed that personalisation in education raises the motivation and interests of the learners, which are critical success factors in the learning as well as in the assessment process. Feedback plays a central role in the assessment process, because it provides information about the current areas of strength and weakness of the learners. This paper presents a comprehensive analysis of feedback personalisation in five established adaptive assessment systems (SIETTE, COMPASS, PASS, CosyQTI and iAdaptTest). The results show that these systems are far from being able to adapt the feedback to the learners’ individual context, prior knowledge and preferences, because personalisation is still insufficiently implemented or even not addressed. The findings of the analysis are meant as a starting point for future work aiming at implementing a new adaptive assessment system providing personalised feedback. Moreover, the proposed 3-dimensional feedback classification helps identifying and addressing the potential of personalisation that feedback actually has.
Bibtex
External link
http://www.eden-online.org/eden.php?menuId=510
Documents
http://pure.ltu.se/portal/files/32553587/EDEN_final.pdf