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A Framework of Deriving Adaptive Feedback from Educational Ontologies

Automatic feedback generation is an important feature of computer assisted assessment (CAA) systems. The direct and instant feedback can help examinees to diagnose their learning status, or learn by assessment. By incorporating certain measures, the automatically generated feedback can be adaptive and make it a desirable block for intelligent tutoring systems (ITS). In this paper we propose a framework to automatically generate adaptive feedback from metadata of items. The generated feedback can be rendered into human readable format; at same time it can also be used by ITS to support adaptive navigation. The scalability and feasibility of the framework are also discussed in the paper.