PanSIG 2025

AI-related technostress among Japanese EFL university students

17 May 2025, 14:50

25m

BLDG 8/1F-108 (Kanda University of International Studies (神田外語大学))

Research-oriented Oral Face-to-face presentation Computer Assisted Language Learning B8-108 SAT: ICLE, Bilingualism & CALL / SUN: CUE & CALL

Speakers

Dr Gilbert Dizon (Himeji Dokkyo University)Dr Jason Gold (Sagami Women's University)Dr Ryan Barnes (Nagoya University)

KEYWORDS

computer assisted language learning
language anxiety
artificial intelligence

ABSTRACT

Rapid technological advancements may negatively affect students’ psychological well-being, resulting in a phenomenon known as technostress. Adding to this concern is the sudden growth of generative artificial intelligence (AI), which may exacerbate technostress among language students. Given these concerns, this study examined technostress among Japanese English as a foreign language (EFL) students at two universities. The goals of the study were twofold: 1) to measure the levels of technostress related to generative AI among Japanese EFL university students, and 2) to examine how English language proficiency affects both EFL learning and technostress related to generative AI. To achieve these aims, the study adopted a mixed-methods design. A survey consisting of Likert-scale and open-ended items was developed based on relevant literature (Kohnke et al., 2024; Niu et al., 2020) and administered during the fall semester of 2024. While data collection is ongoing, approximately 100 university students are expected to participate in the study. Findings will be analyzed using inferential statistics and content analysis. Full results of the research and the study’s implications will be discussed during the presentation.