- L2 identity, discourse, and social networking in Russian
-
...Smith,
Flowers, & Larkin, 2009). Our students’ individual stories enriched our interpretations of their
interactions with Russian peers via VKontakte and led to a better understanding of participants’...
by Liudmila Klimanova, Svetlana Dembovskaya
in Volume 17 Number 1, February 2013 Special Issue on Less Commonly Taught Languages - Language Learning & Technology
- Learners’ engagement on a social networking platform: An ecological analysis
-
...Smith, B. (2016). Sustainable Interaction-Based
Research in CALL. In A. M. G. Sanz., M. Levy., F. Blin., & D. Barr. (Eds.), WorldCALL:
Sustainability and computer-assisted language learning (pp. 11...
by Boning Lyu, Chun Lai
in Volume 26 Number 1, 2022
- Using eye-tracking as a tool to develop lexical knowledge
-
...Smith, 2017). Given advances in human-computer-
interaction research and software engineering, now it is not only possible to record eye-gaze behaviours,
but also to design visual information display...
by Andrea Révész, Matthew Stainer, Jookyoung Jung, Minjin Lee, Marije Michel
in Volume 27 Number 1, 2023
- Exploring AI-Generated text in student writing: How does AI help?
-
...Smith, N. A. (2018). Creative writing with a machine in the loop:
Case studies on slogans and stories. Proceedings of the 23rd International Conference on
Intelligent User Interfaces, 329–340. https...
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
- Online Learning: Patterns of Engagement and Interaction Among In-Service Teachers
-
...Smith,
2000, p. 19) that are independent of each other and did not converge to push the discussion toward
integration and synthesis.
Our proposed intervention is for the instructors to frame their que...
by Faridah Pawan, Trena M. Paulus, Semon Yalcin, Ching-Fen Chang
in Volume 07 Number 3, September 2003 Special Issue Distance Learning
- Reading comprehension exercises online: The effects of feedback, proficiency and interaction
-
...Smith, 1988).
Elaborative feedback includes the forms listed below:
1) Explanatory feedback provides additional explanations, such as why a learner's
error response is incorrect or perhaps why a co...
by Philip Murphy
in Volume 11 Number 3, October 2007 Special Issue on Technology and Reading
- Data-driven learning of collocations: Learner performance, proficiency, and perceptions
-
...Smith, 1993). Non-DDL research has shown that input enrichment and
input enhancement can indeed facilitate the learning of collocations, at least their recognition and recall
(Sonbul & Schmitt, 2013...
by Nina Vyatkina
in Volume 20 Number 3, October 2016
- The interplay between metalanguage, feedback, and meaning negotiation in oral interaction
-
...Smith, 2004). These constitute important
pedagogical implications as we move into a time of increased online foreign language instruction in the
aftermath of the COVID-19 pandemic. Video-based SCMC,...
by Laia Canals
in Volume 26 Number 1, 2022
- Multimodal interactive alignment: Language learners’ interaction in CMC tasks through Instagram
-
...Smith, 2018; Uzum, 2010; Zhou & Wang, 2021). However, studies
on interactive alignment involving verbal and nonverbal cues in their analysis simultaneously are scarce.
Oben and Brône (2016) explore...
by Muntaha Muntaha, Julian Chen, Toni Dobinson
in Volume 28 Number 1, 2024
- Technology-mediated TBLT and language development for beginning learners of Vietnamese
-
...Smith, B. (2016). Technology in language use, language teaching, and language
learning. The Modern Language Journal, 100(S1), 64–80. https://doi.org/10.1111/modl.12302
Creswell, J. W., & Creswell, ...
by Hoa T. Vinh Le, Nicole Ziegler
in Volume 29 Number 2, February 2025 Special Issue: Indigenous Languages and Less Commonly Taught Languages (LCTLs) with Technology
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