Jiahui Wang

Assistant Professor at Kent State University

Biography

Biography

Dr. Jiahui Wang is an Assistant Professor of Educational Technology at Kent State University. She received M.Ed. in Curriculum & Instruction from the University of Virginia and Ph.D. in Educational Technology from the University of Florida.

Dr. Wang’s research examines how people with individual differences learn STEM content in technology-supported environments and how learning environments can be designed to accommodate individual needs. Specifically, she is interested in examining the influence of individual differences in cognition (e.g., working memory capacity), pre-existing interest and knowledge, as well as learning disability (e.g., dyslexia). In addition to traditional outcome measures of learning, her research also employs neurocognitive and psychophysiological tools such as electroencephalography (EEG) and eye-tracking to study the underlying attentional and cognitive processes that influence learning with technology.

Her research has been published in a number of well-respected journals including Computers & Education, Computers in Human Behavior, Dyslexia, Educational Technology Research and Development, International Journal of Human-Computer Interaction, Journal of Special Education Technology, Mind, Brain, and Education, as well as Journal of Vision. Her work has also been recognized by several awards, such as Alec Courtelis Award and AECT Three Minute Thesis Competition Award.

Education

  • Ph.D. in Educational Technology, University of Florida M.Ed. in Curriculum & Instruction, University of Virginia

Research Methods

  • Quantitative Methods, Eye-tracking, Electroencephalography (EEG)

Publications

  • Wang, J. (2022). Does working memory capacity influence learning from videos and attentional processing of the instructor’s visuals? Behaviour & Information Technology, 1-15.
  • Wang, J. (2022). Leveraging eye tracking technology to improve teacher education. Journal of Technology and Teacher Education, 30(2), 253-264.
  • Wang, J., Stebbins, A., & Ferdig, R. E. (2021). Examining the effects of students’ self-efficacy and prior knowledge on learning and visual behavior in a physics game. Computers & Education, 178, 104405.
  • Wang, J., Antonenko, P., Keil, A., & Dawson, K. (2020). Converging subjective and psychophysiological measures of cognitive load to study the effects of instructor-present video. Mind, Brain, and Education.
  • Wang, J., Antonenko, P., & Dawson, K. (2020). Does visual attention to the instructor in online video affect learning and learner perceptions? An eye-tracking analysis. Computers & Education.
  • Wang, J., Antonenko, P., Celepkolu, M., Jimenez, Y., Fieldman, E., & Fieldman, A. (2019). Exploring relationships between eye tracking and traditional usability testing data. International Journal of Human Computer Interaction, 35(6), 483-494.
  • Wang, J. et al. (2018). Investigating the effects of modality and multimedia on the learning performance of college students with dyslexia. Journal of Special Education Technology, 33(3), 182-193.
  • Wang, J. & Antonenko, P. (2017). Instructor presence in instructional video: Effects on visual attention, recall, and perceived learning. Computers in Human Behavior, 71, 79-89.
  • Wang, J., Schneps, M., Antonenko, P., Chen, C., & Pomplun, M. (2016). Is reading impairment associated with enhanced holistic processing in comparative visual search? Dyslexia, 22, 345-361.

Awards/Achievements

  • Kent State University Research Council Summer Research Appointment Award, 2022
  • Kent State University EHHS SEED award, 2021
  • Kent State University Research Council Summer Research Appointment Award, 2020
  • Kent State University EHHS SEED award, 2019
  • American Educational Research Association (AERA) SIG Instructional Technology Best Paper Award, 2018
  • Florida Statewide Graduate Research Symposium Outstanding Poster Presentation, 2017
  • Florida Society of the Social Sciences 12th Annual Conference Outstanding Paper, 2017

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