معرفی
Kwangmin Lee is an Assistant Professor in the Department of Special Education and Literacy Studies at Western Michigan University, where he specializes in TESOL and language assessment. His research integrates quantitative methodologies with applied linguistics to advance understanding of second language reading and writing assessment.
Research Interests: Dr. Lee's work centers on language testing and assessment, particularly using statistical and psychometric approaches to analyze second language learners’ performance. His expertise includes educational measurement, research methods in TESOL, and the validation of assessment tools. He investigates areas such as automated writing evaluation, rater reliability, test motivation, and the cognitive aspects of reading and writing in EFL contexts.
The recent publications highlight a strong trend in psychometrics, validity, and the application of advanced quantitative techniques—including item response theory, confirmatory factor analysis, and machine learning—to problems in language assessment. His work frequently appears in top-tier journals such as Language Testing, Assessing Writing, and System.
Scientific Contributions:
- Published in leading journals in applied linguistics and language assessment
- Focused on improving the validity and reliability of language tests
- Developed and validated assessment instruments for writing self-efficacy and critical thinking
- Explored technological and cognitive dimensions of language learning and testing
Advising and Grants: While specific students or funded grants are not mentioned in the available text, Dr. Lee’s research profile suggests active mentorship potential in quantitative research methods and language assessment. His methodological rigor positions him to lead or contribute to large-scale research initiatives, particularly those involving data-driven evaluation of language programs.
Labs and Research Teams: There is no explicit mention of a lab or research team in the provided information. However, his interdisciplinary focus on measurement, statistics, and language learning suggests potential collaboration with educational research centers or language technology initiatives.
