1. bookVolume 23 (2021): Issue 2 (January 2021)
Journal Details
License
Format
Journal
First Published
11 Dec 2014
Publication timeframe
2 times per year
Languages
English
access type Open Access

Transcripts and Accessibility: Student Views from Using Webinars in Built Environment Education

Journal Details
License
Format
Journal
First Published
11 Dec 2014
Publication timeframe
2 times per year
Languages
English
Abstract

Transcripts and captions make videos more accessible to everyone. However, the time and resources required for manual transcription are a known barrier in creating accessible videos. This paper presents a small study where students (283) and tutors (27) reported their views on automatic transcriptions for recorded webinar videos. Despite not having perfect transcription accuracy, many students who have used the automatic transcripts found them to be useful. Students were also asked how they used transcripts and this included: to find specific information in a video, as a learning aid, as an accessibility aid, to compensate for the speaker’s accent and pace, to study on the go, to compensate for poor audio and/or connectivity and as an aid for non-native English speakers.

Keywords

1. Association for Learning Technology. (2019). Reporting from the Annual Survey 2018. Retrieved October 11, 2019, from https://repository.alt.ac.uk/2431/2/ReportingfromtheAnnualSurvey2018.pdfSearch in Google Scholar

2. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101.Search in Google Scholar

3. Fogel, S. (2017, October 3). IBM inches toward human-like accuracy for speech recognition. Engadget [Blog post]. Retrieved from https://www.engadget.com/2017/03/10/ibmspeechrecognition-accuracy-record/Search in Google Scholar

4. Gernsbacher, M. A. (2015). Video Captions Benefit Everyone. Policy Insights Behavioral and Brain Sciences, 2(1), 195-202. doi:10.1177/2372732215602130Search in Google Scholar

5. Kaltura. (2019). Sixth Annual State of Video in Education 2019: Insights and trends. Rerieved from https://corp.kaltura.com/wp-content/uploads/2019/07/The_State_of_Video_in_Education_2019-1.pdfSearch in Google Scholar

6. Lant, K. (2017, August 23). Microsoft’s Speech Recognition is now as Good as a Human Transcriber. Futurism the Byte [Blog post]. Retrieved from https://futurism.com/microsofts-speech-recognition-is-now-as-good-as-a-humantranscriberSearch in Google Scholar

7. Linder, K. (2016). Student uses and perceptions of closed captions and transcripts: Results from a national study. Corvallis, OR: Oregon State University. Retrieved from http://info.3playmedia.com/rs/744-UDO-697/images/Student-Survey-Report-10-25-16-Final.pdfSearch in Google Scholar

8. Liyanagunawardena, T. R. (2019). Automatic Transcription Software: Good Enough for Accessibility? A Case Study from Built Environment Education. In A. Volungeviciene, & A. Szűcs (Eds.), EDEN 2019 Annual Conference: Connecting through Educational Technology to produce effective learning environments (pp. 378-386). Budapest, Hungary: European Distance and ELearning Network.Search in Google Scholar

9. Munteanu, C., Baecker, R., Penn, G., Toms, E., & James, D. (2006). The Effect of Speech Recognition Accuracy Rates on the Usefulness and Usability of Webcast Achieves. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Montreal, Canada, 493-502. doi:10.1145/1124772.1124848Search in Google Scholar

10. Powell, A. (2019). Women and the Economy, Briefing Paper. Number CBP06838, 8 March 2019. House of Commons Library. Retrieved from https://researchbriefings.files.parliament.uk/documents/SN06838/SN06838.pdfSearch in Google Scholar

11. Walker, R. (2019). JISC Accessibility Clinic [Webinar]. Retrieved October 2, 2019, from https://jisc.adobeconnect.com/p39zrwbnj0tu/Search in Google Scholar

Recommended articles from Trend MD

Plan your remote conference with Sciendo