Project Details
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Learning Dynamic Feedback in Intelligent Tutoring Systems

Subject Area Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing
Term from 2011 to 2019
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 200292319
 
Final Report Year 2019

Final Report Abstract

In summary, the project achieved its overarching goals of developing new methods to support learners in learning tasks without formalized domain knowledge. In particular, we developed adaptive dissimilarities to represent solution spaces of learning tasks as well as feedback strategies based on such dissimilarities as well as learner data, extended these strategies to take learners’ behavior over time into account, implemented these techniques in a practical system, and evaluated this system in multiple studies. Beyond these successes, we also provided new ways to visualize learning resources and make the learning process across tasks transparent in resource space models; and we applied transfer learning methods to prosthesis research, thus facilitating the use of advances hand prostheses in patients’ everyday lives. A key to these achievements has been the intense study of solution spaces, both conceptually and practically. We have shown that solution space representations by means of example data and pairwise distances facilitate data analysis, feedback, and ultimately student learning, thus providing a firm basis for future research and future applications in intelligent tutoring systems.

Publications

 
 

Additional Information

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