My research focus lies in the areas of speech production and perception, second language (L2) oral assessment and automated scoring, L2 pronunciation and intelligibility, language attitudes, World Englishes, and L2 phonology in second language acquisition. My overall research goal is to investigate the nature of accented speech of non-native speakers (NNSs) of English, which includes several sub-areas of research: (a) how accent is perceived by listeners, (b) how accented speech is characterized linguistically, (c) how the assessment of accented speech is validated through automatic systems, and (d) how speakers with accents can better communicate with others.
I have recently completed various research projects relevant to the topics listed above. Some examples of my funded and collaborative research projects are as follows: (1) Impact of Different Task Types on Candidates’ Speaking Performances and Interactive Features that Distinguish between CEFR Levels (funded by Cambridge English Language Assessment, 1/2014-12/2014), (2) Intelligibility of different varieties of English in the TOEFL iBT listening test (funded by ETS TOEFL COE research grant, 2014-2017); (3) Development of prosodic features in automated speech system (funded by NAU Technology Research Investment Fund, $ 200,000, 2014-2017); (4) Linguistic analysis of speaking performance and automated extraction (funded by British Council Research Grants, $15,040, 2017-2018); (5) The Language Learning Roundtable conference program (funded by Language Learning, $10,000, 2018-2019); (6) Enhancing communication between U.S. undergraduates and international teaching assistants through structured contact activities (collaborated with the University of Virginia, 2016-2018); (7) Investigation of relationship among learner background, linguistic progression, and score gain on IELTS (funded by IELTS, $50,972, 2019-2020). Based on my expertise in L2 phonology and language assessment, I worked with my post-doctoral scholar (Dr. David Johnson) and have developed computer systems that automatically process prosodic features and recently obtained a patent (Serial No. 9,947,322) entitled “Systems and Methods for Automated Evaluation of Human Speech”. In addition, I hosted a conference, Pronunciation in Second Language Learning and Teaching (PSLLT) 2019 (Sept 12-14, 2019), at NAU, Flagstaff. Its theme was inter-disciplinary intersections in pronunciation learning and teaching and the Language Learning grant supported a roundtable discussion.
Professor, Applied Linguistics/TESL, Northern Arizona University (NAU) Director of the Applied Linguistics Speech Lab, NAU
Ph.D (2008): University of Georgia.
MA (2003): University of Auckland, New Zealand
My Research in Public News
NPR Code Switch Podcast: Talk American : NPR
500 Women Scientist: https://500womenscientists.org/updates/2018/9/18/okim-kang