Computer-Assisted Language Learning at the Dawn of the AI Revolution

A special issue of Education Sciences (ISSN 2227-7102). This special issue belongs to the section "Language and Literacy Education".

Deadline for manuscript submissions: closed (31 May 2025) | Viewed by 1286

Special Issue Editor


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Guest Editor
Department of Applied Foreign Languages, National Penghu University of Science and Technology, Magong City, Taiwan
Interests: computers in education; language teaching and learning; social science and psychology; technological innovation—adoption and use of ICT and other technologies

Special Issue Information

Dear Colleagues,

The convenience of the cellphone coupled with the dawn of the new age of artificial intelligence has ushered in a golden age of computer-assisted language learning (CALL) for both Generation Z and Generation Alpha, as well as for those older language learners and teachers who are able to adapt to and incorporate the accompanying new learning strategies and technologies.

Computer-assisted language learning utilizes computers, computer-based resources, and information technology in the learning and teaching of foreign languages. While CALL may take place either inside or outside of the classroom and in either a structured or unstructured form, a key element of CALL is that it allows for a student-centered approach that empowers the language learner.

Computer-assisted language learning may be interactive, adaptive, and flexible. CALL may be interactive in that it may require active learner participation, often through the medium of mouse, keyboard, and microphone. It may also be adoptive in that learning content, difficulty level, and system feedback may automatically adjust to the user’s individual requirements. Furthermore, it can be flexible, in that it may allow the learner to progress at nearly any time or place at their own pace and convenience.

With the ever-accelerating pace of the ongoing artificial intelligence revolution, and with the younger generations’ nearly seamless adaptation to all things digitally based, new CALL insight and strategies will only become more needed and relevant in the coming years.

In this Special Issue, original research articles related to CALL are welcome. The topics may include (but are not limited to) the following:

  • Development of CALL in a region or in a country;
  • Implementation of Instructional Technology;
  • Practices of Instructional Technology;
  • VR ---Virtual Reality (VR) technology;
  • AR---Augmented Reality (AR) technology;
  • Practices of Instructional Technology in higher education;
  • Pedagogy of CALL;
  • Assessment or evaluation of CALL;
  • ARS training;
  • Professional development of CALL;
  • Teaching material of CALL;
  • Technology-enhanced foreign language teaching;
  • Attitudes toward CALL;
  • MALL (Mobile Assisted Language Learning);
  • AI in Foreign language education. (English, Chinese and Russian)

I am looking forward to receiving your work.

Dr. Paul Juinn Bing Tan
Guest Editor

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Keywords

  • language education
  • CALL
  • technology-enhanced language teaching
  • instructional technology
  • e-learning

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Published Papers (1 paper)

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Research

15 pages, 416 KB  
Article
Evaluating the Effectiveness of Chatbot-Assisted Learning in Enhancing English Conversational Skills Among Secondary School Students
by Abdullah Alenezi and Abdulhameed Alenezi
Educ. Sci. 2025, 15(9), 1136; https://doi.org/10.3390/educsci15091136 - 1 Sep 2025
Viewed by 667
Abstract
The growing application of artificial intelligence in education has created new avenues for second language learning. The following research explores the impact of learning with the help of chatbots on English conversation among secondary students in the Northern Borders Region in Saudi Arabia. [...] Read more.
The growing application of artificial intelligence in education has created new avenues for second language learning. The following research explores the impact of learning with the help of chatbots on English conversation among secondary students in the Northern Borders Region in Saudi Arabia. The quasi-experimental design involved 30 students divided into two groups: an experimental group that interacted with an intervention using a GPT-powered chatbot for three weeks, and a control group that underwent traditional teaching. Pre- and post-tests were given to assess conversation competence. At the same time, students’ attitudes toward the chatbot-assisted learning experience were measured through questionnaires, teacher observation, and usage logs in the chatbot. Results showed statistically significant improvement in the experimental group’s speaking competence (mean gain = 5.24, p < 0.001). Students showed high motivation, elevated confidence, and high satisfaction with the learning experience provided through the chatbot (overall attitude mean = 4.35/5). Teacher observations testified that the students were much more engaged and spontaneous, and using the chatbot was positively correlated with score gain (r = 0.61). The outcomes indicate that chatbot-based learning is a practical approach for facilitating the development of spoken English, particularly in low-resource learning environments. The research provides empirical proof in favour of the incorporation of interactive AI into EFL teaching in all the secondary schools in Saudi Arabia. Full article
(This article belongs to the Special Issue Computer-Assisted Language Learning at the Dawn of the AI Revolution)
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