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Showing 211 - 220 results of 227 for R. Godwin-Jones

L2 blogging: Who thrives and who does not?
...r. They also held direct instruction by the teacher to be essential for effective learning. In this form of thinking, it is specialized knowledge of the field that shapes the knower. This relatively...

by Rainbow Tsai-Hung Chen
in Volume 19 Number 2, June 2015

Teaching the pragmatics of Russian conversation using a corpus-referred website
...Godwin-Jones, R. (2013). The technological imperative in teaching and learning less commonly taught languages. Language Learning & Technology, 17(1), 7–19. Retrieved from http://llt.msu.edu/issues/f...

by Edie A. Furniss
in Volume 20 Number 2, June 2016 Special Issue of Special Issues: 20 Years of Language Learning & Technology

Thank Yous and Welcomes
...r. Jim is currently co-editing a special issue on Automated Writing Evaluation and we look forward very much to working with him as a regular LLT team member.   Finally, we gratefully acknowled...

in News & Announcements

Podcasting: An Effective Tool for Honing Language Students’ Pronunciation?
...r. A total of 22 students in intermediate German and French courses made five scripted pronunciation recordings throughout the semester. After the pronunciation recordings, students produced three e...

by Lara Ducate, Lara Lomicka
in Volume 13 Number 3, October 2009 Special Issue On Technology And Learning Pronunciation

Discovering collocations via data-driven learning in L2 writing
...Godwin-Jones, R. (2017). Data-informed language learning. Language Learning & Technology, 21(3), 9– 27. https://www.lltjournal.org/item/3187 Hafner, C. A., & Candlin, C. N. (2007). Corpus tools as ...

by Yi-ju Ariel Wu
in Volume 25 Number 2, June 2021

Exploring AI-Generated text in student writing: How does AI help?
...r. https://link.springer.com/book/10.1007/1-84628-168-7 Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Stat...

by David James Woo, Hengky Susanto, Chi Ho Yeung, Kai Guo, April Ka Yeng Fung
in Volume 28 Number 2, June 2024 Special Issue: Artificial Intelligence for Language Learning

Autonomy CALLing: A systematic review of 22 years of publications in learner autonomy and CALL
...R. (1996). A short history of the founding of the CALL-IS Interest Section. Rodger Kenner. http://rogerkenner.ca/Gallery/CALL_IS/founding.htm Knowles, M. S. (1975). Self-directed learning: A guide f...

by Carmenne Kalyaniwala, Maud Ciekanski
in Volume 25 Number 3, October 2021 Special Issue: 25 Years of Emerging Technology in CALL

Audiovisual input in language learning: Teachers’ perspectives
...r.com/), (n.d.), and IdiomsTube (Lin, 2022)). Additionally, many resources are available to teachers and students for creating and editing videos (e.g., Godwin-Jones, 2015). Despite research findin...

by Tetyana Sydorenko, Mónica S. Cárdenas-Claros, Elizabeth Huntley, Maribel Montero Perez
in Volume 28 Number 1, 2024

Fostering intercultural sensitivity in language learning: Quality talk in telecollaboration
...Godwin-Jones, R. (2019). Telecollaboration as an approach to developing intercultural communication competence. Language Learning & Technology, 23(3), 8–28. http://hdl.handle.net/10125/44691 Goh, C...

by Huey-Jye You, Hui-Chin Yeh, Grace Yue Qi
in Volume 29 Number 1, 2025

The evolution of identity research in CALL: From scripted chatrooms to engaged construction of the digital self
...R. (2016). Language and identity in the digital age. In S. Preece (Ed.), The Handbook of language and identity (pp. 549–566). Routledge. Darvin, R., & Norton, B. (2015). Identity and a model of inv...

by Liudmila Klimanova
in Volume 25 Number 3, October 2021 Special Issue: 25 Years of Emerging Technology in CALL