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Sanghee Kang earned a Ph.D. in Applied Linguistics from Georgia State University, with a dissertation focused on the role of chatbot-based interaction in learner characteristics and alignment-driven learning in language grammar and pragmatics. Her research continues to explore the role of generative AI in language learning, emphasizing AI-generated feedback and collaborative writing. She is dedicated to contributing her expertise in technology-oriented language acquisition within the Carnegie Mellon University community and to building collaborative relationships with colleagues while mentoring students in an innovative academic setting. Dr. Kang's research interests also cover task-based language teaching and digital multimodal composition, primarily with a focus on English and Korean as target languages. She has made significant contributions to Korean Studies, particularly in the area of Korean language acquisition for university students and has collaborated on research projects that led to the development of a research-informed, task-supported Korean language curriculum. Dr. Kang has also conducted teacher training workshops on instructional task design for Korean language learners and co-authored the textbook 'Learning Korean Tasks: High Beginners Intermediate,' which integrates recent findings in language acquisition and task-based language teaching into practical pedagogic tasks for learners.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.