Knowledgeable Feedback via a Cast of Virtual Characters with Different Competences

W. Beek, J. Liem, F. Linnebank, R. Bühling, M. Wißner, E. Lozano, J. Gracia del Río, B. Bredeweg

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review


DynaLearn ( develops a cognitive artefact that engages learners in an active learning by modelling process to develop conceptual system knowledge. Learners create external representations using diagrams. The diagrams capture conceptual knowledge using the Garp3 Qualitative Reasoning (QR) formalism [2]. The expressions can be simulated, confronting learners with the logical consequences thereof. To further aid learners, DynaLearn employs a sequence of knowledge representations (Learning Spaces, LS), with increasing complexity in terms of the modelling ingredients a learner can use [1]. An online repository contains QR models created by experts/teachers and learners. The server runs semantic services [4] to generate feedback at the request of learners via the workbench. The feedback is communicated to the learner via a set of virtual characters, each having its own competence [3]. A specific feedback thus incorporates three aspects: content, character appearance, and a didactic setting (e.g. Quiz mode). In the interactive event we will demonstrate the latest achievements of the DynaLearn project. First, the 6 learning spaces for learners to work with. Second, the generation of feedback relevant to the individual needs of a learner using Semantic Web technology. Third, the verbalization of the feedback via different animated virtual characters, notably: Basic help, Critic, Recommender, Quizmaster & Teachable agent.
Original languageEnglish
Title of host publicationArtificial Intelligence in Education
EditorsG. Biswas, S. Bull, J. Kay, A. Mitrovic
Number of pages1
ISBN (Print)9783642218682
Publication statusPublished - 2011
Externally publishedYes

Publication series

NameLecture Notes in Computer Science


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