Presentation
AI and technostress: Perspectives of Japanese EFL university students
The rapid advancement of technology can negatively impact students’ psychological well-being, leading to a phenomenon known as technostress. The introduction of generative artificial intelligence (AI) has further raised concerns about its potential to increase technostress among language students. This presentation reports on a study that explored technostress among English as a foreign language (EFL) students at two Japanese universities. The study assessed the levels of technostress related to generative AI among the participants and examined the relationship between English language proficiency and AI-related technostress. An adapted survey (Kohnke et al., 2024; Niu et al., 2020) consisting of Likert-scale questions and open-ended items was developed and administered to participating students during the fall 2024 semester. A total of 100 students provided informed consent and fully completed the survey. While the quantitative results indicate that the participants did not exhibit a high level of technostress, the qualitative results suggest a more nuanced picture of the impact of AI-related technostress on Japanese EFL students. The full results of the study and its implications will be discussed during the presentation.
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Gilbert Dizon is an Associate Professor at Himeji Dokkyo University and holds a Doctor of Education from Indiana University. His research interests focus on technology-mediated informal language learning and the use of artificial intelligence in language education. His work has been published in journals such as Computers & Education: Artificial Intelligence, Computer Assisted Language Learning, Language Learning & Technology, Innovation in Language Learning and Teaching, and other international journals.
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Ryan Barnes is a Designated Associate Professor in the Nagoya University Writing Center at Nagoya University. He holds a doctorate in Literacy, Culture, and Language Education from Indiana University. His research interests include academic writing, linguistic landscape, and the integration of AI in language education.
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Jason Gold is an Associate Professor at Sagami Women’s University in Tokyo. He holds an M.A. in TESOL and a Doctorate in Literacy, Culture, and Language Education. His research interests involve CALL, as well as Educational and Positive Psychology applications for classroom teaching.