
Amin Davoodi
Assistant Professor · Bilingual Education
The University of Texas Permian BasinAbout
Dr. Amin Davoodi serves as Assistant Professor of Bilingual and ESL Education in the Department of Counseling, Bilingual Education and Educational Leadership at the University of Texas Permian Basin's College of Education. An ethnically Kurdish scholar from Kermanshah, Iran, he arrived in the US in 2016 for doctoral studies and earned his PhD from Texas A&M University in 2021.
His academic credentials include:
- Ph.D. in ESL, Technology, and Teacher Education (Curriculum & Instruction), Texas A&M University (2021)
- M.A. in TESOL/Applied Linguistics, Razi University, Iran (2015)
- B.A. in English Language and Literature, Razi University, Iran (2011)
Research centers on educational equity for English language learners and homebound students, with pioneering work in robot-assisted learning demonstrating how technology bridges educational gaps. His TESOL and bilingual education scholarship integrates narrative inquiry methodologies, emphasizing culturally responsive pedagogy for marginalized populations. This focus on accessibility has generated significant scholarly attention.
Major recognitions include:
- Three-Minute Thesis Competition dual awards (Judges' and People Choice, 2021)
- Regional 3MT Heat 3 People Choice Award (2021)
- Professional Development Scholarship Award (TESOL International Association, 2019)
- Community of Scholars Unsung Hero Award (2019)
- Multiple CEHD research grants and fellowships from Texas A&M University
As an internationally certified trainer, he directed Texas A&M's TESOL Certificate program, mentoring educators from 25+ countries. His grant portfolio includes the Texas Education Public Grant and MidTESOL awards supporting robot-assisted learning initiatives. Media coverage from KBTX and Daily Collegian highlights the real-world impact of his work on homebound student accessibility.
Dr. Davoodi maintains active research leadership in educational technology innovation, with ongoing projects examining AI-driven language acquisition tools for underserved communities.
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