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Showing 21 - 30 results of 37 for Carpenter

Social media as an e-portfolio platform: Effects on L2 learners’ speaking performance
...Carpenter et al., 2016; Hew, 2011; Lomicka & Lord, 2016; Manca & Ranieri, 2016; Tang & Hew, 2017) on computer assisted language learning has confirmed the positive impact of social media’s interacti...

by Yan Zheng, Jessie S. Barrot
in Volume 26 Number 1, 2022

Mastery-based language learning outside class: Learning support in flipped classrooms
...Carpenter & Krutka, 2014; Tran, 2016). The benefits can be summed up as facilitating and improving engagement, motivation, and authentic interaction with native speakers of a language, peer support,...

by Yuping Wang, Grace Yue Qi
in Volume 22 Number 2, June 2018 Special Issue on Qualitative Research in CALL

The interplay between metalanguage, feedback, and meaning negotiation in oral interaction
...Carpenter et al., 2006). Excerpt 3 SP2: Okay, I can’t fix the issue(.) problem with Skype but okay. At least we can hear us. CAN2: Yeah, at least we can hear each other. [← Recast] That’s the mai...

by Laia Canals
in Volume 26 Number 1, 2022

Students’ emotions and cognitive loads in chatbot-versus peer-supported reading
...Carpenter, 2006; Jehn et al., 2008) and cognitive pressure due to the lack of coordination (Kirschner et al., 2018). In this backdrop, AI-powered chatbots (e.g., ChatGPT), equipped with the ability ...

by Xiaotian Guan, Yanfang Su, Tan Jin, Chun Lai, Yuanke Li
in Volume 30 Number 2, Special Issue: Emotional CALL

SMART Teacher Lab: A learning platform for the professional development of EFL teachers
...Carpenter, R., & Lăpușneanu, D. (2020). Bots for language learning now: Current and future directions. Language Learning & Technology, 24(2), 8–22. http://hdl.handle.net/10125/44719 Haj-Bolouri, A....

by Heyoung Kim, Jang Ho Lee
in Volume 26 Number 2, June 2022 Special Issue: Automated Writing Evaluation

Moving from off-the-shelf chatbots to a user-designed bespoke L2 chatbot
...Carpenter, R., & Lăpușneanu, D. (2020). Bots for language learning now: Current and future directions. Language Learning & Technology, 24(2), 8–22. http://hdl.handle.net/10125/44719 12 Language Lea...

by Dongkwang Shin, Jang Ho Lee
in Volume 28 Number 1, 2024

Design principles and architecture of a second language learning chatbot
...Carpenter, R., & Lăpușneanu, D. (2020). Bots for language learning now: Current and future directions. Language Learning & Technology, 24(2), 8–22. http://hdl.handle.net/10125/44719 Fryer, L. K., N...

by Heyoung Kim, Hyejin Yang, Dongkwang Shin, Jang Ho Lee
in Volume 26 Number 1, 2022

Big data and language learning: Opportunities and challenges
...Carpenter, R., & Lăpușneanu, D. (2020). Bots for language learning now: Current and future directions. Language Learning & Technology, 24(2), 8–22. http://hdl.handle.net/10125/44719 Gelan, A., Fast...

by Robert Godwin-Jones
in Volume 25 Number 1, February 2021 Special Issue: Big Data in Language Education & Research

Investigating the impact of chatbot design features on affective variables: A mixed-methods study
...Carpenter, R., & Lăpușneanu, D. (2020). Bots for language learning now: Current and future directions. Language Learning & Technology, 24(2), 8–22. https://doi.org/10.64152/10125/44719 Fryer, L. K...

by Jang Ho Lee, Hansol Lee, Kyungmin Kim
in Volume 30 Number 1, 2026

Mode, meaning, and synaesthesia in multimedia L2 writing
...carpenter make, to coin a phrase. To engage synaesthesia in its truly creative sense, one must not only understand the tools and the codes of the new media age; one must understand how to recombine t...

by Mark Evan Nelson
in Volume 10 Number 2, May 2006 Special Issue on Electronic Literacy