Name
Title | ||
|---|---|---|
From Heterogeneous Multisource Traces To Perceptual-Gestural Sequences: The Petra Treatment Approach |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-19773-9_48 | ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2015 |
Keywords | DocType | Volume |
Intelligent Tutoring Systems, Knowledge modeling, Perceptual-gestural knowledge, Educational data mining, Heterogeneous traces | Conference | 9112 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
9 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ben-Manson Toussaint | 1 | 0 | 0.34 |
| Vanda Luengo | 2 | 50 | 18.95 |
| Francis Jambon | 3 | 1 | 1.98 |
| jerome tonetti | 4 | 37 | 6.61 |