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This study contributes an interpretable NLP-based method for connecting embedding-level bias detection with pedagogically sensitive evaluation of automated feedback, and argues that this pattern represents pedagogical framing bias.
This chapter presents a conceptualisation of five levels of teacher-AI teaming: transactional, situational, operational, praxical and synergistic teaming to capture the nuanced dynamics of teacher-AI interactions that may lead to the replacement, complementarity, or augmentation of teachers'competences and professional...
Drawing on recent literature, technological developments, and pedagogical practices, the paper formulates strategic recommendations for navigating AI-driven transformation in language education while maintaining academic integrity, learner-centeredness, and linguistic diversity.
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