Technostress is a phenomenon in which rapid technological advancement affects teachers’ psychological well-being. It is an emerging concern in English language education, which may be exacerbated by the advent of generative artificial intelligence (GenAI) tools such as ChatGPT. This study explores the factors that influence technostress among English language teachers using GenAI tools and strategies that can alleviate it. Based on the analysis of qualitative data from semi-structured interviews with 16 instructors at higher education institutions in Hong Kong, the study identifies the rapid advancement of AI technology, inadequate training and lack of experience as contributors to technostress. It also names mitigating strategies including targeted professional development, online engagement and gradual integration. These techniques can foster Technological Pedagogical Content Knowledge (TPACK) and reduce the challenges of incorporating GenAI into English teaching. The findings align with existing literature on the impact of technostress and the role of TPACK. The practical implications include the need for comprehensive training, supportive communities and a balanced approach to AI integration. This investigation also expands the theoretical understanding of technostress in English language teaching and the use of GenAI tools, providing empirical support for existing frameworks. It also suggests directions for future research, which could investigate teacher well-being, effective AI integration and the impact of TPACK. Copyright © 2024 Educational Technology & Society.

To prepare teachers for blended teaching, this study proposed ongoing teacher professional development activities that utilize the learning-by-doing approach within a professional learning community with the objective of developing the technological, pedagogical, content knowledge (TPACK) of teachers. The study explored the TPACK of 11 teachers and their perceptions of blended teaching through interviews and questionnaires. Analyses of interview data demonstrated that teachers perceived the technological benefits (e.g., supporting citywide resources) but noted that the teacher professional development training required high levels of self-regulation skills. The questionnaire results indicated significant improvements in TPACK, TCK, and TPCK but not for other dimensions of TPACK. Lastly, the study presented discussions and implications accordingly. Copyright © 2023 Education Research Institute, Seoul National University.

This study explores the influence of digital portfolio on reflective practice of prospective teachers (PTs) with the Technological Pedagogical Content Knowledge framework (TPACK). A total of 36 PTs studying in a teacher education course (one-year full-time) at a tertiary education institute in Hong Kong took part in the study. Blended learning approach was adopted to facilitate the completion of digital portfolio with various applications of Web services as a pedagogical tool. At the end of the course, the PTs completed the same questionnaire again as a post-test. Results showed that engaging PTs in digital portfolio integrated with different levels of Web services can increase their degree of readiness and maturation in different dimensions under the TPACK framework. The findings shed light on the development of teacher readiness for their entering of teaching profession in terms of technical, pedagogical and content knowledge individually and holistically, and further cultivated a higher degree of sustainability in reflective practice for the prospective teachers.
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