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Download full textStone, Cathlyn; Donnelly, Patrick J.; Dale, Meghan; Capello, Sarah; Kelly, Sean; Godley, Amanda; D'Mello, Sidney K. – International Educational Data Mining Society, 2019
We examine the ability of supervised text classification models to identify several discourse properties from teachers' speech with an eye for providing teachers with meaningful automated feedback about the quality of their classroom discourse. We collected audio recordings from 28 teachers from 10 schools in 164 authentic classroom sessions,…
Descriptors: Classification, Classroom Communication, Audio Equipment, Feedback (Response)
Direct linkChapelle, Carol A.; Chung, Yoo-Ree – Language Testing, 2010
Advances in natural language processing (NLP) and automatic speech recognition and processing technologies offer new opportunities for language testing. Despite their potential uses on a range of language test item types, relatively little work has been done in this area, and it is therefore not well understood by test developers, researchers or…
Descriptors: Test Items, Computational Linguistics, Testing, Language Tests
Wigmore, Angela; Hunter, Gordon; Pflugel, Eckhard; Denholm-Price, James; Binelli, Vincent – Journal of Computers in Mathematics and Science Teaching, 2009
Speech technology--especially automatic speech recognition--has now advanced to a level where it can be of great benefit both to able-bodied people and those with various disabilities. In this paper we describe an application "TalkMaths" which, using the output from a commonly-used conventional automatic speech recognition system,…
Descriptors: Instructional Materials, Disabilities, Assistive Technology, Research and Development
