- Commentary: Learner-based listening and technological authenticity
-
...Fryer and Carpenter (2006) suggest that language learners use chat bots
for practice. In listening comprehension, one can imagine scenarios where learners could make use of
primitive Web-based trans...
by Richard Robin
in Volume 11, Number 1 February 2007 Special Issue on Technology and Listening Comprehension
- Using an AI-powered chatbot for improving L2 Korean grammar: A comparison between proficiency levels and task types
-
...Fryer et al., 2020; Hwang &
Chang, 2023; Jeon et al., 2023; Zhang et al., 2023). Teachers and students across diverse learning contexts
have reported positive perspectives of using AI chatbots along...
by Ji-young Shin, Yujeong Choi
in Volume 29 Number 2, February 2025 Special Issue: Indigenous Languages and Less Commonly Taught Languages (LCTLs) with Technology
- Emerging spaces for language learning: AI bots, ambient intelligence, and the metaverse
-
...Fryer et al., 2020). Successful models have been built with HALEF, an open source, web-
based framework for creating spoken dialogue systems (see Timpe-Laughlin & Dombi, 2020). Similar
systems to HAL...
by Robert Godwin-Jones
in Volume 27 Number 2, February 2023 Special Issue: Semiotics in CALL
- Evaluating intelligent personal assistants for L2 listening and speaking development
-
...Fryer & Carpenter,
2006). Additionally, although the development of oral proficiency is time-consuming, ASR-based systems
and CALL provide learners with the ability to practice their speaking skills...
by Gilbert Dizon
in Volume 24 Number 1, February 2020
- Dialogue systems for language learning: A meta-analysis
-
...Fryer & Carpenter, 2006).
Building upon a systematic review of the literature, we have proposed a conceptual framework for dialogue-
based CALL (Bibauw et al., 2019). Dialogue systems are generally c...
by Serge Bibauw, Wim Van den Noortgate, Thomas François, Piet Desmet
in Volume 26 Number 1, 2022
- The Role of the Computer in Learning Ndjébbana
-
...Fryer (1987) suggests the positive benefits of computers with indigenous Australian students reflect the
absences of a formal teacher in their society. Computers give indigenous Australian students gr...
by Glenn Auld
in Volume 06 Number 2, May 2002 Special Issue Technology and Indigenous Languages
- Big data and language learning: Opportunities and challenges
-
...Fryer et al., 2020; Godwin-Jones, 2019a). A company called LearnFromAnyone is building on
top of GPT-3 a kind of automated tutor, which can take on the identity of famous scientists or writers.
The...
by Robert Godwin-Jones
in Volume 25 Number 1, February 2021 Special Issue: Big Data in Language Education & Research
- Evolving technologies for language learning
-
...Fryer et al., 2020). Makransky and Petersen (2021) offer a promising
theoretical framework for integrating immersive VR into educational practice. As is the case with Second
Life, other once promisi...
by Robert Godwin-Jones
in Volume 25 Number 3, October 2021 Special Issue: 25 Years of Emerging Technology in CALL
- Presence and agency in real and virtual spaces: The promise of extended reality for language learning
-
...Fryer et al., 2020). That provides the possibility of a chatbot using advanced intelligent avatars
that could more effectively mimic nonverbal communication, such as displaying realistic facial expre...
by Robert Godwin-Jones
in Volume 27 Number 3, October 2023 Special Issue: Extended Reality (XR) in Language Learning
- A systematic review of research on AI in language education: Current status and future implications
-
...Fryer, L. K. (2022). Chatbots for language learning—Are they really useful? A
systematic review of chatbot‐supported language learning. Journal of Computer Assisted
Learning, 38(1), 237–257. https:/...
by Meina Zhu, Chaoran Wang
in Volume 29 Number 1, 2025
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