- SMART Teacher Lab: A learning platform for the professional development of EFL teachers
-
...feedback.
Notes
1. The bottom left of Figure 1 shows, clockwise, links to four popular menus: “sample teaching
demonstration videos,” “test-taking tips A to Z for the PTEE,” “information about tea...
by Heyoung Kim, Jang Ho Lee
in Volume 26 Number 2, June 2022 Special Issue: Automated Writing Evaluation
- Can ChatGPT make reading comprehension testing items on par with human experts?
-
...feedback.
36 Language Learning & Technology
References
Ahn, Y. Y. (2023). Performance of ChatGPT 3.5 on CSAT: Its potential as a language learning and
assessment tool. Journal of the Kore...
by Dongkwang Shin, Jang Ho Lee
in Volume 27 Number 3, October 2023 Special Issue: Extended Reality (XR) in Language Learning
- "Missed" communication in online communication: Tensions in a german-american telecollaboration
-
...feedback on his
German grammar, not as potential same-aged peers who could afford him different cultural perspectives.8
These two diverging attitudes were played out in the students' online writing....
by Paige Ware
in Volume 09 Number 2, May 2005
- Moving from off-the-shelf chatbots to a user-designed bespoke L2 chatbot
-
...feedback on our manuscript. We also thank
the students who participated in our study.
References
Ahn, Y. (2023). Performance of ChatGPT 3.5 on CSAT: Its potential as a language learning and
assess...
by Dongkwang Shin, Jang Ho Lee
in Volume 28 Number 1, 2024
- Integrating intercultural competence into language learning through technology
-
...feedback from others, such as host families, supervisors, or other
participants. Relying on self-assessment can be a positive factor in encouraging greater effort in
analyzing, comparing, and reflec...
by Robert Godwin-Jones
in Volume 17 Number 2, June 2013
- Web-based Activities and SLA: A Conversation Analysis Research Approach
-
...feedback, he resorts to a more explicit way of
calling for attention by using icons and symbols that arouse curiosity in the other participants (see Move
73). In Move 79 the opening sequence is clos...
by Raffaella Negretti
in Volume 03 Number 1, July 1999
- Early effects of technology on the oklahoma choctaw language community
-
...feedback. In this case,
the teacher has learned to identify particular students and their needs based on the kind and quality of the
typed messages she receives from them.
Much of the success of the I...
by Marcia Haag, F. Wayne Coston
in Volume 06 Number 2, May 2002 Special Issue Technology and Indigenous Languages
- Mobile english vocabulary learning based on concept-mapping strategy
-
...Feedback was requested in the form of
quizzes and follow-up questions. The same authors reported similar findings on this topic in a later study
(Kennedy & Levy, 2008) that entailed sending SMS mess...
by Pei-Lin Liu
in Volume 20 Number 3, October 2016
- Bots for language learning now: Current and future directions
-
...feedback that can support users’
confidence.
The initial Mondly chatbot software expanded to include 27 new languages (with six initial
languages and a final total of 33). Apart from personalized ...
by Luke Fryer, David Coniam, Rollo Carpenter, Diana Lăpușneanu
in Volume 24 Number 2, June 2020 Special Issue: Technology-enhanced L2 Instructional Pragmatics
- Commentary: You're not studying, you're just...
-
...feedback.
While pre-programming each of the expected responses greatly improves functionality -- such that even
foreign accents can be somewhat accommodated -- it significantly increases the design co...
by Ravi Purushotma
in Volume 09 Number 1, January 2005
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