ASR in Classroom Today : Automatic Visualization of Conceptual Network in Science Classrooms

Abstract
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.
Main Authors
Format
Conferences Conference paper
Published
2017
Series
Subjects
Publication in research information system
Publisher
Springer International Publishing
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-201709223794Käytä tätä linkitykseen.
Parent publication ISBN
978-3-319-66609-9
Review status
Peer reviewed
ISSN
0302-9743
DOI
https://doi.org/10.1007/978-3-319-66610-5_58
Conference
European Conference on Technology Enhanced Learning
Language
English
Published in
Lecture Notes in Computer Science
Is part of publication
Data Driven Approaches in Digital Education : 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, Tallinn, Estonia, September 12–15, 2017, Proceedings
Citation
  • Caballero, D., Araya, R., Kronholm, H., Viiri, J., Mansikkaniemi, A., Lehesvuori, S., Virtanen, T., & Kurimo, M. (2017). ASR in Classroom Today : Automatic Visualization of Conceptual Network in Science Classrooms. In É. Lavoué, H. Drachsler, K. Verbert, J. Broisin, & M. Pérez-Sanagustín (Eds.), Data Driven Approaches in Digital Education : 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, Tallinn, Estonia, September 12–15, 2017, Proceedings (pp. 541-544). Springer International Publishing. Lecture Notes in Computer Science, 10474. https://doi.org/10.1007/978-3-319-66610-5_58
License
Open Access
Funder(s)
Research Council of Finland
Funding program(s)
Akatemiaohjelma, SA
Academy Programme, AoF
Research Council of Finland
Additional information about funding
Funding from PIA-CONICYT Basal Funds for Centers of Excellence Project FB0003 is gratefully acknowledged and to the AKA-EDU-01 grant from CONICYT. The authors are also thankful for the funding provided to project No. 294218 by the Academy of Finland.
Copyright© Springer International Publishing AG 2017. This is a final draft version of an article whose final and definitive form has been published by Springer. Published in this repository with the kind permission of the publisher.

Share