From Heterogeneous Multisource Traces to Perceptual-Gestural Sequences: the PeTra Treatment Approach
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- Toussaint BM., Luengo V., Jambon F., Tonetti J. (2015) From Heterogeneous Multisource Traces to Perceptual-Gestural Sequences: the PeTra Treatment Approach. In: Conati C., Heffernan N., Mitrovic A., Verdejo M. (eds) Artificial Intelligence in Education. AIED 2015. Lecture Notes in Computer Science, vol 9112. Springer, Cham
This paper presents PeTra, a framework proposed for representing and treating multi-source heterogeneous traces from simulated learning environments. We tested our proposition on traces from TELEOS, a simulation-based ITS dedicated to percutaneous orthopedic surgery. This ITS captures learners interactions from three different and independent sources. The conducted experiment demonstrated that the sequences generated by PeTra fostered efficiently: 1) the learning analytics task of evaluating the influence of visual perceptions on learners’ errors; 2) the extraction of interesting association rules potentially reusable for tutoring services production. However, its genericity has not been tested and it will need to be evaluated at a larger scale.
KeywordsIntelligent Tutoring Systems Knowledge modeling Perceptual-gestural knowledge Educational data mining Heterogeneous traces
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