Research - Faculty Profile - 04
Guofang Wan
Professor and Chair of Teaching and Learning
Wan's research explores pressing contemporary issues such as teacher education, diversity in education, and AI literacy in education. Her prize-winning scholarly career includes the Margaret B. Lindsey Award for Distinguished Research in Teacher Education from the American Association of Colleges for Teacher Education and the Fourth Annual Media Literacy Award from the National Council of Teachers of English, which recognized her imaginative application of media analysis and media composition in English studies. She also serves as book series editor for the Chinese American Educational Research and Development Association.
In 2025, Wan served as a Fulbright Distinguished Scholar in Brazil, where she studied the South American nation’s education system and the educational philosophies underpinning its teaching practices. She also led talks and workshops focused on the impact of generative AI in education as well as the importance of aligning instructional practices with students’ learning styles, prior knowledge, home culture, and interests.
Guofang Wan
Professor and Chair of Teaching and Learning
Wan's research explores pressing contemporary issues such as teacher education, diversity in education, and AI literacy in education. Her prize-winning scholarly career includes the Margaret B. Lindsey Award for Distinguished Research in Teacher Education from the American Association of Colleges for Teacher Education and the Fourth Annual Media Literacy Award from the National Council of Teachers of English, which recognized her imaginative application of media analysis and media composition in English studies. She also serves as book series editor for the Chinese American Educational Research and Development Association.
In 2025, Wan served as a Fulbright Distinguished Scholar in Brazil, where she studied the South American nation’s education system and the educational philosophies underpinning its teaching practices. She also led talks and workshops focused on the impact of generative AI in education as well as the importance of aligning instructional practices with students’ learning styles, prior knowledge, home culture, and interests.