Ethical concerns, policy gaps, and limited training as persistent challenges to AI integration in language teacher education
Research gap analysis derived from 3 education papers in our local library.
The gap
The study identifies ethical concerns, policy gaps, and limited training as persistent challenges to AI integration in language teacher education. The study notes that the rapid rise of AI has outpaced educational policies. The study highli
Evidence profile
Sourced from the future work and abstract and stated challenges of the source papers, classified as general, drawn from work published between 2022 and 2026, spanning 3 journals. Those papers have been cited 68 times in total.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Redefining the Role of English Teachers in Classrooms Integrated with Artificial Intelligence (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi
Future English Language Teaching (ELT) classrooms are likely to adopt a human–AI partnership model in which: ● AI manages routine practice and feedback. ● Teachers guide interpretation, creativity, and communication. Educational researchers argue that the future of teaching resides in collaboration between human educators and intelligent technologies rather than in replacement (source needed). Consequently, teacher education programs must integrate AI pedagogy training into professional development curricula.
generalfuture workKeywords: future teaching human english language classrooms likely adopt partnership model manages routine practice feedback teachers - A Systematic Review of Research on the Use of Artificial Intelligence in English Language Teaching and Learning (2015-2021): What are the Current Effects? (2022) · Journal of Information Technology Education Research · cited 68× · doi
However, AI in ELT is still in its infancy, where little research has been conducted and gaps in the literature are still present, especially in terms of inherent issues related to body language, gestures, expressions, emotions, translation, lack of elaborate description of teaching material used for learning driven by AI, uncertainties and vagueness with regards to what can be considered under the realm of AI, and most authors being outside of the ELT discipline.
generalabstractevidence 5/5Keywords: still infancy little conducted gaps literature present especially terms inherent issues related body language gestures - A comparative study of AI readiness in language teacher education in the Global South (2026) · Discover Education · doi
The study identifies ethical concerns, policy gaps, and limited training as persistent challenges to AI integration in language teacher education. The study notes that the rapid rise of AI has outpaced educational policies. The study highlights the need for modular training, institutional readiness benchmarks, and localized policy reform to address the challenges of AI integration in language teacher education.
generalstated challengesevidence 5/5Keywords: study identifies ethical concerns policy gaps limited training
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