Chair - Amy Mueller 2024-2025
Amy Mueller is an assistant professor of learning technologies at the University of Oklahoma in the Instructional Leadership and Academic Curriculum program. She teaches undergraduate and graduate courses on educational and instructional technologies to pre-service and practicing educators. She received her degree in Curriculum and Instruction from the University of Wisconsin – Madison.
Amy Mueller has previously taught 4K for Head Start and worked as a K-5 Technology Teacher at a dual language immersion program in a diverse, public, urban title-1 school. Her research interests include culturally and linguistic responsive and sustaining education, Indigenous education, liberatory education, elementary education, games-based learning, maker education, STEM education, digital literacy, multiliteracies, design-based research, and codesign & community action research. In her free time she likes to play video games with her children.
Chair Elect- Chin-Hsi Lin 2024 -2025
Chin-Hsi Lin is an Associate Professor of Educational Technology in the Faculty of Education at the University of Hong Kong. He received Ph.D. in Language, Literacy, and Technology at the University of California, Irvine. Dr. Lin’s research focuses on language learning processes in various technology-enhanced learning environments. Specifically, his research highlights the importance of increasing the amount, quality, and types of interactions in online language learning environment. In addition, his research delineates the mechanism how
self-regulated learning affected online language-learning outcomes and student satisfaction.
Dr. Lin has published his findings in various educational technology journals, such as Computers & Education, Journal of Computer Assisted Learning, Educational Technology
Research and Development. Prior to joining HKU, he taught Mandarin in Taiwan and worked as an Assistant Professor at Michigan State University. He currently teaches undergraduate
and graduate courses in Chinese language education and pedagogy.
Past Chair - Kendall Hartley 2024-2025
Kendall Hartley is an associate professor of educational technology in the Department of Teaching & Learning. Dr. 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 the smartphone for learning. He also has extensive experience in designing instructional and informational Internet 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.s
Program Chair - Yan Chen 2023-2025
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 / Treasurer - Jiahui Wang 2023-2025
Dr. Jiahui Wang is an Assistant Professor of Educational Technology at Kent State University. Her 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 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, such as Computers & Education, Computers in Human Behavior, Educational Technology Research and Development, and International Journal of Human-Computer Interaction.
Program Chair Elect - Kyungbin Kwon 2024 -2025
Kyungbin Kwon is an Associate Professor in Learning, Design, and Adult Education at Indiana University. His research interests focus on computational thinking (CT) and AI education, aiming to design instructional methods that are both effective and engaging. His innovative approach incorporates metacognitive learning strategies and embodied cognition to enhance problem-solving abilities. Through his work, he has significantly contributed to our understanding of how students grasp programming concepts and the common misconceptions they hold, shedding light on the principles of instructional design for learning.
Regarding educational computing applications, Kyungbin Kwon developed a mixed-reality learning environment that promotes embodied learning. This environment allows students to learn CT concepts through physical movement, proving especially beneficial in early primary education. Additionally, he has created group awareness tools to support collaborative knowledge construction in online settings. His designs facilitate effective group interactions and have been validated for their positive impact on collaborative learning outcomes. His research not only advances our understanding of learners’ collaborative processes but also guides the creation of impactful learning environments and communities.
Treasurer Elect - Yu-chun Kuo 2024 -2025
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, open educational resources, online learning, and virtual reality. 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 Elect - Lujie Karen Chen 2024 -2025
Lujie Karen Chen is an assistant professor from the Information System Department at the University of Maryland Baltimore County. As an applied AI/machine learning and data science researcher, she is broadly interested in developing data-enabled technology for Personalized, Persistent, and Practical Support for Human Flourishing. Her research in education mainly focused on using data-driven technology to support the development of problem-solving skills and study the related cognitive, metacognitive, and affective processes in STEM disciplines such as math and data science. She leads one of the winning teams of the 2022-2023 DARPA AI Tools for Adult Learning Competition. She received her Ph.D. and master’s degree in Information Systems and an M.S. in Statistics, all from Carnegie Mellon University. She was a research staff member at Auton Lab at Carnegie Mellon for over 15 years and was a fellow of PIER (Program in Interdisciplinary Educational Research) sponsored by the Institute of Education Sciences.
Appointed Positions
Graduate Student Faculty Advisor
Olha Ketsman is an Assistant Professor at the Department of Educational Technology, Research and Assessment at Northern Illinois University, where she teaches graduate and undergraduate courses in instructional technology and research methodology. She received her Ph.D. from the University of Nebraska-Lincoln, and she has extensive experience working with pre-service and in-service teachers in a variety of roles. Her research focuses on topics related to pre-service and
in-service teacher education, technology integration, and mixed methods research. She is a part of the Research in Teacher Education (RITE) Lab Team, where she collaborates and engages in research with school districts and mentors doctoral students. Olha serves as a project co-evaluator for the Grow Your Own (GYO) Teachers Grant funded by the Illinois Board of Higher Education. Her research has been published in a number of journals and presented at multiple professional conferences and venues.
Social Media Coordinator
Jessica Weibler is a PhD student in Instructional Technology at Northern Illinois University and a middle level educator. Her research interests include adolescents’ digital reading practices and social media as a tool for teacher professional development.
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.
Graduate Student Representative
Saurav Mukhopadhyay, a committed PhD student specializing in Instructional Technology at Northern Illinois University, brings a multifaceted background to his research, holding an MS in Industrial and System Engineering and actively pursuing another in Computer Science. His research, deeply rooted in Artificial Intelligence and Computational Thinking, has been further enriched by a focused internship at Argonne National Laboratory, where he delved into Computer Vision. Serving as a Graduate Research Assistant at NIU’s Center for Innovative Teaching and Learning (CITL), Saurav’s endeavors aim to refine instructional design to prioritize student-centered learning outcomes, with a keen interest in leveraging Augmented and Virtual Reality for educational enhancement. His involvement with NIU’s Research in Teacher Education Lab underscores his dedication to educational research. His affiliation with AECT and AERA signifies his active participation and commitment to the educational technology community at large.