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Real-time interactive visualization aiding pronunciation of English as a second language
Linnaeus University, Faculty of Technology, Department of Media Technology.
Linnaeus University, Faculty of Technology, Department of Media Technology.ORCID iD: 0000-0003-2446-8727
Linnaeus University, Faculty of Technology, Department of Media Technology.
2014 (English)In: 2014 14TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT), IEEE Press, 2014, 436-440 p.Conference paper, Published paper (Refereed)
Abstract [en]

Some studies have been reporting encouraging results concerning the possibilities of combining voice and its visual representation for language learning. Following this line of investigation this paper explores the potential impact of two distinct visualization styles for the learning of English pronunciation of syllables for non-native speakers: a) highlighting syllables and b) the visualization of the produced sound wave. In order to evaluate the benefits of the two different styles three distinct digital tool prototypes were created in order to test four study conditions. The conditions under evaluation were a) teaching syllables without the support of any digital tool; b) teaching using a prototype that highlighted the syllables under study; c) using a prototype that displayed the sound wave of the syllable to be learnt and d) a prototype that combined the functionality of b) and c). Results suggest that the combined approach seems to be as effective as the traditional classroom approach of teaching the syllables. However, more research is needed in order to consolidate the findings, being able to explore in more detail how is the learning process occurring and to what extend the tools developed can be integrated into classroom practice.

Place, publisher, year, edition, pages
IEEE Press, 2014. 436-440 p.
Series
IEEE International Conference on Advanced Learning Technologies, ISSN 2161-3761
Keyword [en]
computer assisted language learning, second language learning, visualization styles of syllables, pronunciation teaching, Web Audio API
National Category
Media Engineering
Research subject
Computer and Information Sciences Computer Science, Media Technology
Identifiers
URN: urn:nbn:se:lnu:diva-41425DOI: 10.1109/ICALT.2014.131ISI: 000347713100129ISBN: 978-1-4799-4038-7 (print)OAI: oai:DiVA.org:lnu-41425DiVA: diva2:798415
Conference
14th IEEE International Conference on Advanced Learning Technologies (ICALT) - Advanced Technologies for Supporting Open Access to Formal and Informal Learning, JUL 07-10, 2014, Athens, GREECE
Available from: 2015-03-26 Created: 2015-03-26 Last updated: 2015-05-26Bibliographically approved

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Total: 190 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf