معرفی
Okim Kang serves as Professor in the Department of English at Northern Arizona University, where her research centers on second language speech perception, accent bias, and technological applications in language learning. With 26 scholarly works documented in Scopus, her work bridges theoretical linguistics and practical classroom implementation.
Her primary research interests include Second Language Acquisition, Pronunciation, Listener Perception, and English Accents, with growing emphasis on Speech Technology (Wav2vec 2.0) and Bias/Stereotyping dynamics. She investigates how technological tools like AI feedback systems impact L2 intelligibility while examining societal perceptions of non-native speakers through cognitive dissonance frameworks and Global Englishes perspectives.
Recent 2025 publications reveal converging trends across artificial intelligence applications in language assessment, listener bias mitigation strategies, and Global Englishes integration in EFL contexts. Her work demonstrates consistent focus on real-world implications of accent variation in testing environments (e.g., Duolingo English Test) and classroom settings, with increasing attention to ethical dimensions of AI-human interaction in language learning.
Collaborative research networks span multiple institutions as evidenced by co-authorship patterns, though specific lab affiliations or grant details remain unmentioned in source materials. Her h-index of 117 reflects substantial scholarly impact within applied linguistics according to Scopus metrics.
