Chair - Olha Ketsman 2026-2027
Olha Ketsman is an Assistant Professor in the Department of Learning Innovation, Leadership, and Technology at Northern Illinois University, where she teaches undergraduate and graduate courses in instructional technology and research methodology and mentors future educational researchers and practitioners. Dr. Ketsman earned her Ph.D. from the University of Nebraska–Lincoln and has extensive experience working with pre-service and in-service teachers across diverse educational settings. Her research focuses on STEM education, teacher preparation and professional development, technology integration, and mixed methods research methodology. She was a fellow in several National Science Foundation (NSF)-funded research institutes, including the Learning Analytics in STEM Education Research (LASER) Institute, the Expanding the Methods of Education Research with Generative AI (EMERGai) Institute at North Carolina State University, and the Research Institute on Improving Evaluations of Research and Development in STEM Education at Northwestern University. Dr. Ketsman currently serves as a project co-evaluator for the Grow Your Own (GYO) Teachers Grant funded by the Illinois Board of Higher Education. Her work is dedicated to advancing evidence-based educational practices and supporting the effective integration of innovative technologies in teaching and learning.
Chair Elect - Kyungbin Kwon 2026-2027
Dr. Kyungbin Kwon is a Professor in Learning, Design, and Adult Education at Indiana University and Director of the Center for Research on Learning and Technology. His research advances computational thinking and AI education through innovative instructional designs, embodied learning approaches, and technology-enhanced learning environments. Supported by NSF, DoD, and state-level initiatives, his work focuses on designing and evaluating equitable, engaging curricula and learning tools for K–12 students and teachers, with particular attention to mixed-reality learning, tangible tools, teacher professional development, collaboration, and real-world problem solving. His scholarship contributes to understanding how learners develop computational and AI competencies, how teachers integrate emerging technologies into classrooms, and how learning environments can support inquiry, collaboration, and reflective practice.
Immediate Past Chair - Chin-Hsi Lin 2024-2025
Dr. Chin-Hsi Lin is an Associate Professor of Educational Technology in the Faculty of Education at the University of Hong Kong. His research focuses on language learning processes in technology-enhanced environments, particularly online and AI-supported settings. He investigates how self-regulated learning and interaction shape learning processes and influence outcomes.
Program Chair - Jiahui Wang 2026-2027
Dr. Jiahui Wang is an Associate Professor of Educational Technology at Kent State University. She earned her Ph.D. in Curriculum & Instruction with a concentration in Educational Technology from the University of Florida. Her research investigates how individual learner differences shape the way students engage with STEM content in technology-rich environments, with a growing emphasis on the role of artificial intelligence in education. She examines the underlying cognitive and attentional processes that occur while students interact with educational technologies, using advanced process measures such as visual attention, neural oscillations, and digital trace data (e.g., mouse clicks). By analyzing these multimodal learning signals, her work provides insights into how AI-driven tools can adapt to learners’ needs and personalize instruction.
Progam Chair Elect - Yu-Chun Kuo 2026-2027
Dr. Yu-Chun Kuo is an Associate Professor of Instructional Technology in the Department of Critical Literacy, Technology & Multilingual Education at Rowan University. Dr. Kuo’s research focuses on how the use of emerging technologies enhances student learning experiences and outcomes in different contexts, as well as motivation and cognitive factors in relation to technology-based learning. Specifically, her research interests include technology integration into teaching and learning, mobile learning, game-based learning, online learning, and artificial intelligence. Dr. Kuo has published articles in peer-reviewed journals, such as Educational Technology Research and Development, Internet and Higher Education, Online Learning, Journal of Computing in Higher Education, Education and Information Technologies, and Journal of Digital Learning in Teacher Education.
Secretary - Yan Chen 2026 -2027
Dr. Yan Chen is an assistant professor in Instructional Technology and Design in the Department of Teaching and Learning at the University of Nevada, Las Vegas. She obtained her Ph.D. in Instructional Technology from Northern Illinois University and completed her postdoctoral fellowship in the learning sciences and engineering programs at the University of New Mexico. Her research interests focus on how people learn through social interaction when situated in hybrid, technology-based learning spaces. She is interested in how sociocultural and historical settings shape these interactions and how we can design new cultural practices to achieve equitable digital learning. She can be reached by email at: yan.chen@unlv.edu.
Secretary Elect - Roya Pashmforoosh 2026 -2027
Dr. Roya Pashmforoosh is an Assistant Professor in the Department of Educational Psychology at the College of Education & Human Development at Texas A&M University, beginning in September 2024. From August 2022 to August 2024, she served as an Accountability, Climate, Equity, and Scholarship (ACES) Faculty Fellow. Dr. Pashmforoosh holds two doctorates. She obtained a Ph.D. in Educational Psychology (2021) with an emphasis on Bilingual/English as a Second Language (ESL) Education from Texas A&M University, and previously, she received a Ph.D. in Applied Linguistics with an emphasis on Teaching English as a Second Language (TESL) from Tehran University of Teacher Education (2018). She also holds a master’s degree in Applied Linguistics with an emphasis on TESL from Sharif University of Technology (2011). In 2016, she was invited to serve as a Visiting Research Scholar in the Department of Teaching, Learning, and Culture within the College of Education & Human Development. Her scholarship has been multidisciplinary and collaborative in nature. Her areas of research focus on (a) literacy development for English learners and emergent bilingual (EB) students, (b) teacher preparation and professional development, and (c) technology and language teaching.
Treasurer - Kendall Hartley 2026 -2027
Kendall Hartley is a professor of educational technology in the Department of Teaching & Learning at the University of Nevada, Las Vegas. Prof. Hartley specializes in the analysis of individual characteristics and the implications for learning with technology. He is particularly interested in the role of self-regulatory skills and the use of AI for learning. He also has extensive experience in designing instructional and informational websites. Dr. Hartley has published numerous articles in peer-reviewed educational research journals, including the International Journal of Educational Technology in Higher Education, Journal of Educational Computing Research, and Educational Researcher. Prior to joining UNLV, Dr. Hartley taught high school science for five years in Nebraska public schools. He currently teaches graduate courses in instructional design, online learning, and multimedia programming.
Treasurer Elect - Shuling Yang 2026 -2027
Dr. Shuling Yang is an Assistant Professor in the Education Department at the University of Maryland, Baltimore County. Her research focuses on literacy teacher education, family literacy, and AI in education. Her coauthored paper on pre-service teachers’ perceptions of generative AI received the Outstanding Research Paper Award from the Journal of Digital Learning in Teacher Education in 2025. Dr. Yang won the 2023 ELATE Research Initiatives at NCTE and the Association of Literacy Educators and Researchers’ Teacher Education Research Grant. Her publications appear in the Journal of Digital Learning in Teacher Education, Bilingual Research Journal, Early Childhood Education Journal, Journal of Adolescent & Adult Literacy, Interactive Learning Environments, The Reading Teacher, and other journals.
Appointed Positions
Graduate Student Faculty Advisor
Dr. Julie Corrigan is an Associate Professor and Graduate Program Director in the Department of Education’s Educational Technology program at Concordia University, Montréal. Her research in digital literacies—funded by the Social Sciences and Humanities Research Council (Canada) and the Fonds de Recherche du Québec—focuses on instructional and assessment practices that support student resiliency in the digital age. Her research has been recognized in leading peer-reviewed journals, including Computers in Human Behavior, Computers & Education, Assessing Writing, and Educational Psychologist. Corrigan teaches graduate courses in educational technology, evaluation, academic writing, and research methods, and she has mentored dozens of students, including a Governor General Gold Medalist, Indigenous Graduate Scholar, 3MT (Three Minute Thesis) People’s Choice Award winner, and national scholarship winners. She is the Regional Editor (Canada) for Educational Media International and an Editorial Review Board member for the Journal of Adolescent and Adult Literacy.
Social Media Coordinator
Daniel Truesdale, MPP, is a doctoral student in Instructional Technology at Northern Illinois University (NIU). His research interests center on the educification of podcasting, with a focus on how podcast-based approaches can enhance learning, engagement, and knowledge transfer for online graduate students in higher education.
In parallel, Daniel serves as Director of Enrollment Management and Analytics for the University of Chicago’s MS in Applied Data Science program. He also hosts the ChatADS podcast, where he leads conversations with faculty, students, alumni, and industry professionals about real-world applications of data science. The podcast explores career pathways, ethical considerations, and emerging trends shaping the future of the field.
Webmaster
Un Hyeok (David) Ko is a PhD student in the University of Nevada Las Vegas Interaction and Media Sciences program. His primary research focus is how AI tools such as large language models can be utilized to elevate student achievement. Grounded in the theoretical frameworks of self-determination and self-regulated learning, he focuses on how these concepts intersect with AI-enhanced learning environments.