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Technostress and English language teaching in the age of generative AI
Lucas Kohnke
, Di Zou
*
, Benjamin Luke Moorhouse
*
Corresponding author for this work
Research output
:
Contribution to journal
›
Journal article
›
peer-review
68
Citations (Scopus)
Overview
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Dive into the research topics of 'Technostress and English language teaching in the age of generative AI'. Together they form a unique fingerprint.
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Keyphrases
English Teaching
100%
Generative AI
100%
Technostress
100%
Generative Artificial Intelligence
66%
Artificial Intelligence Tools
50%
Technological Pedagogical Content Knowledge (TPACK)
50%
AI Integration
33%
Hong Kong
16%
Technological Progress
16%
Structured Interview
16%
Supportive Community
16%
Theoretical Understanding
16%
English Language Teachers
16%
Higher Education Institutions
16%
Professional Development
16%
Psychological Well-being
16%
Rapid Advancement
16%
Online Participation
16%
Balanced Approach
16%
Qualitative Data Analysis
16%
Emerging Concern
16%
English Education
16%
AI Technology
16%
Chat Generative Pre-trained Transformer (ChatGPT)
16%
Teacher Well-being
16%
Comprehensive Training
16%
Artificial Intelligence Strategy
16%
Mitigating Strategies
16%
Social Sciences
Language Instruction
100%
Generative Artificial Intelligence
100%
Artificial Intelligence
60%
Technological Pedagogical Content Knowledge
60%
Hong Kong
20%
English
20%
Semi-Structured Interview
20%
Professional Development
20%
Psychological Well-Being
20%
Technological Advancement
20%
Practical Implication
20%
Education Institution
20%
ChatGPT
20%
Psychology
Artificial Intelligence
100%
Content Knowledge
37%
Semistructured Interview
12%
Psychological Well-Being
12%