6533b82bfe1ef96bd128e08c
RESEARCH PRODUCT
ASR in Classroom Today : Automatic Visualization of Conceptual Network in Science Classrooms
Sami LehesvuoriHanna KronholmTuomas VirtanenAndré MansikkaniemiJouni ViiriDaniela CaballeroMikko KurimoRoberto Arayasubject
Structure (mathematical logic)puheentunnistusPoint (typography)MultimediaComputer sciencekoulut (oppilaitokset)05 social sciencesautomatic speech recognition050301 education02 engineering and technologyconceptual networkcomputer.software_genreopetusField (computer science)VisualizationConceptual network020204 information systemsSimilarity (psychology)0202 electrical engineering electronic engineering information engineeringKey (cryptography)ComputingMilieux_COMPUTERSANDEDUCATIONteacher discourseclassroom dialogue0503 educationcomputerdescription
Automatic Speech Recognition (ASR) field has improved substantially in the last years. We are in a point never saw before, where we can apply such algorithms in non-ideal conditions such as real classrooms. In these scenarios it is still not possible to reach perfect recognition rates, however we can already take advantage of these improvements. This paper shows preliminary results using ASR in Chilean and Finnish middle and high school to automatically provide teachers a visualization of the structure of concepts present in their discourse in science classrooms. These visualizations are conceptual networks that relate key concepts used by the teacher. This is an interesting tool that gives feedback to the teacher about his/her pedagogical practice in classes. The result of initial comparisons shows great similarity between conceptual networks generated in a manual way with those generated automatically. peerReviewed
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-01-01 |