EDUCATION
Ph.D. | Curriculum and Instruction | University of Florida, FL |
M.A. | English/Chinese Translation and Interpretation | Middlebury Institute of International Studies at Monterey, CA |
B.A. | English | Shenzhen University, China |
RESEARCH INTERESTS
K-6 Computer Science Education
Computational Thinking Integration
Technology Integration in Teaching and Learning
HIGHLIGHTED PUBLICATIONS
Luo, F., Ijeluola, A. *, Westerlund, J. *, Walker, A., Denham, A., Walker, J., & Young, C. (Accepted). Supporting elementary teachersā technological, pedagogical, and content knowledge in computational thinking integration. Journal of Science Education and Technology. [*Ph.D. student co-authors] [Five-year impact factor: 3.969]
Luo, F., Israel, M., & Gane, B. (2022). Exploring elementary studentsā computational thinking: A learning trajectory perspective. ACM Transactions on Computing Education, 22(2), 1-26.Ā https://doi.org/10.1145/3494579Ā
Luo, F., Antonenko, P. D., & Davis, E. C. (2020). Exploring the evolution of two girlsā conceptions and practices in computational thinking in science. Computers & Education, 146, 103759.Ā https://doi.org/10.1016/j.compedu.2019.103759Ā [Impact Factor: 8.538]
Luo, F., Ijeluola, A. *, & Westerlund, J. * (Accepted). Elementary teachersā computer science integration: A cross-case analysis. Paper session to be presented at the 2023 American Educational Research Association. Chicago, Illinois. [*Ph.D. student co-authors] [AERA Best Paper Nomination, SIG-TACTL]
Luo, F., Walker, A., Denham, A., & Walker, J. (2022). Culturally relevant computer science education for historically underrepresented students: A research-practice partnership with a school district. Roundtable session presented at the 2022 American Educational Research Association. San Diego, California.
Yu, J. *, Luo, F., & Searight, E.* (2022). Teaching middle school computer science during covid-19: A case study of blended learning. Concurrent session presented at the 2022 American Educational Research Association. San Diego, California. [*Ph.D. student co-authors]
BIOGRAPHY
Dr. Feiya Luo received her Ph.D. in educational technology from the University of Florida. Her research expertise is in elementary computer science (CS) education and computational thinking (CT) integration through the use of innovative educational technologies. Dr. Luo is currently the principal investigator on a National Science Foundation-funded grant project to explore upper elementary students’ learning experiences in physiological computing using biosensing devices (e.g., Ganglion Board).
Dr. Feiya Luo’s research expertise is in elementary computer science (CS) education and computational thinking (CT) integration through the use of innovative educational technologies. Dr. Luo is currently leading an interdisciplinary project to explore upper elementary students’ learning experiences in physiological computing using biosensing devices (e.g., Ganglion Board).
Dr. Luo is also leading a research-practice partnership with Tuscaloosa City Schools to help elementary teachers integrate CT into core subject areas, such as science and mathematics, following the culturally responsive-sustaining CS Education framework. She is working with two Ph.D. students to examine teachersā experiences in the design and implementation of CT-integrated instruction.
Dr. Luo has published in top-tier journals and conferences such as Computers & Education, Transactions on Computing Education, Computer Science Education, and ACMās Special Interest Group on Computer Science Education (SIGCSE). Dr. Luo has also submitted NSF ITEST and DRK12 grant proposals that aim at broadening the participation of historically underrepresented students in the state of Alabama.
Besides teaching and advising Ph.D. students in Instructional Technology, Dr. Luo also teaches for the Nurse Education Ed.D. program, a hybrid degree offered jointly by the UA College of Nursing and the College of Education.