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Showing 281 - 290 results of 454 for Strong

Negotiation of meaning via virtual exchange in immersive virtual reality environments
...strong spatial immersion, which means that users engage in VR tasks from the first-person view so that they perceive themselves as physically present in a non-physical world (Howard-Jones et al., 20...

by Hsin-I Chen, Ana Sevilla-Pavón
in Volume 27 Number 2, February 2023 Special Issue: Semiotics in CALL

Can ChatGPT make reading comprehension testing items on par with human experts?
...strongly agreed that AI could replace teachers in the future. In another study, Tao et al. (2019) reported on the results of a survey conducted among 140 teachers and found that about 30% expressed ...

by Dongkwang Shin, Jang Ho Lee
in Volume 27 Number 3, October 2023 Special Issue: Extended Reality (XR) in Language Learning

The impact of virtual reality (VR) pedagogy on L2 English learners’ oral communication and pragmatic competence
...strongly preferred speaking to a human over engaging with VR. As this excerpt also shows, the student believed that his pronunciation was already strong. Therefore, when the VR ImmerseMe application...

by Melike Akay, Matt Kessler
in Volume 28 Number 1, 2024

Promoting pre-service teachers’ reflections through a cross-cultural keypal project
...Strong community, deep learning: Exploring the link. Innovations in Education and Teaching International, 42(3), 217–230. Egbert, J. (2006). Learning in context: Situating language teacher learning ...

by Aleksandra Wach
in Volume 19 Number 1, February 2015 Special Issues on Teacher Education and CALL

Making it personal: Performance-based assessments, Ubiquitous technology, and advanced learners
...strong, integrated, language learning component. Moreover, explicit learning outcomes must align to a holistic framework that transcends the course. So, too, it is essential that learners have an acc...

by Kelly Arispe, Jack Burston
in Volume 21 Number 3, October 2017 Special Issue on Corpora in Language Learning and Teaching

Using machine translation to support ESL pre-service teachers’ collaborative feedback for writing
...strong sense of cooperation, responding actively to peers’ views. They participated in this study voluntarily and had similar English proficiency levels, assessed by their Test for English Majors-Ba...

by Linling Fu, Michelle Mingyue Gu, Tan Jin
in Volume 28 Number 1, 2024

Exploring blended learning experiences through the community of inquiry framework
...strongly agree to five strongly disagree. Eighty-three students responded to the survey delivered in Mosoink, a response rate of 94.3%. The reliability of the questionnaire was measured by Cronbach...

by Rui Zhang
in Volume 24 Number 1, February 2020

Moving from off-the-shelf chatbots to a user-designed bespoke L2 chatbot
...strong potential of LLM-based chatbots for L2 learning and instruction (e.g., Kohnke et al., 2023; Kwon & Lee, 2023; Lee et al., 2023; Shin & Lee, 2023). In particular, it accords with the recent fin...

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

20 years of autonomy and technology: How far have we come and where to next?
...strong trajectories of research and practice in language learning and technology. We do not aim to be comprehensive in our discussion or referencing. Instead, for each area we have selected exemplar...

by Hayo Reinders, Cynthia White
in Volume 20 Number 2, June 2016 Special Issue of Special Issues: 20 Years of Language Learning & Technology

Multinational telecollaboration in language teacher education: Teacher educators’ perspectives
...strong need to push for the normalization of telecollaboration as a commonplace component in teacher education programs to give pre-service teachers a prime foundation for shaping their competences i...

by Aleksandra Wach, Shannon Tanghe, De Zhang
in Volume 28 Number 1, 2024