Dr. Kim presented a talk for the NSF AI ALOE Virtual Discussions 🔗
March 16, 2026
This presentation, entitled "Contributions to Theories of Learning: Discussions on Open-Ended Problems," examines contributions to theories of learning through the lens of the SMART platform, with a particular focus on open-ended problems. It is organized around four theoretical dimensions: adult learning, which emphasizes building mental models through diverse formative supports and self-directed, personalized learning environments; cognition and knowledge, which integrates the ICAP framework (Passive, Active, Constructive, Interactive) with the Community of Inquiry model to guide instructional design decisions; personality and temperament, which draws on Self-Determination Theory, Pekrun's Control-Value Theory, and the concept of cognitive engagement to explore how motivation drives effort, persistence, and achievement; and contextual/learner background, which investigates how demographic factors such as race and first-generation status interact with engagement and performance patterns over time. Across these dimensions, the presentation connects SMART's multimodal feedback, flexible navigation, and data visualization features to measurable learning behaviors—particularly writing, revision, and review activities—offering both a theoretical grounding and empirical evidence for understanding how AI-integrated instruction can support diverse learners.
Dr. Kim presented at the Capitol. 🔗
February 19, 2026
Dr. Kim and researchers from the Byrdine F. Lewis College of Nursing and Health Professions showcased an AI simulation project as part of Georgia State University’s Research Day at the Capitol.
Our lab members provided a pre-conference workshop for SNRS. 🔗
February 18, 2026
Associate Professor Min Kyu Kim, doctoral students Jinho Kim and Seora Kim and faculty from the Byrdine F. Lewis College of Nursing and Health Professions presented at the Southern Nursing Research Society Annual Conference pre-conference workshop entitled “Optimization of AI Integration for Nursing Education and Research" at the Southern Nursing Research Society Annual Conference.
Dr. Kim presented a talk for the NSF AI ALOE Virtual Discussions 🔗
February 09, 2026
This presentation, titled "Instructional Design in Practice: Case Studies," details a multi-layered approach to studying and advancing AI-driven instructional design in practice. Building on the same overarching case-study framework introduced in the AI-ALOE project, it moves from task conceptualization and case narrative collection through a refined instructional design space analysis—mapping cases along dimensions such as learning mode, structure, participation, task scope, and design format—and then applies the PICRAT model to evaluate how AI technology integration affects both student engagement and teaching practice. The presentation goes further by showcasing concrete case examples (including engineering and instructional design courses), reviewing cross-case findings, and proposing a forward-looking vision called "AIM HIGH" (AI-Powered Multimodal Instruction for Growth), which envisions enhanced human–AI interaction through personalized feedback, multi-agent support, advanced hybrid learning environments, and generative AI–driven simulation-based training in fields such as nursing education.
Dr. Kim presented a talk for the NSF AI ALOE Virtual Discussions 🔗
February 02, 2026
This presentation, titled “Integration of Knowledge Based AI and Generative AI (Text to Model),” outlines how knowledge based AI approaches used in the earlier SMART versions have been integrated with generative AI to provide an enhanced personalized learning experience and more elaborated feedback for learners. In addition, Dr. Kim shared how this integration improved the precision and adaptivity of AI powered formative assessment and feedback, and how it has guided his current application development.
Dr. Kim presented a talk for the NSF AI ALOE Virtual Discussions 🔗
January, 26, 2026
This presentation, titled "Contributions to Instructional Design in Practice: Building Discussion Framework," outlines a structured framework for documenting and analyzing how AI-powered tools are being integrated into instructional design practice. Developed by Min Kyu Kim and Chris Dede, the framework proceeds through five stages: conceptualizing case studies that connect AI technology integration with established theories of learning, collecting case narratives using a standardized template, analyzing the instructional design space along dimensions such as formality and modality, evaluating technology integration depth through established frameworks like SAMR, PICRAT, TPACK, and CBAM, and organizing a presentation schedule for seven AI-ALOE tools (including SMART, Jill Watson, Apprentice Tutor, and others). Together, these components offer a systematic approach for understanding how AI tools reshape learning processes, instructional strategies, and the evolving role of human instructors in educational settings.
Welcoming our visiting scholar: Jiyoon Chae! 🔗
January 8, 2026
We are pleased to welcome Jiyoon Chae to our lab as a visiting scholar!
Jiyoon Chae worked with the lab as a visiting scholar during Spring 2026. She is currently a PhD candidate at Seoul National University, South Korea. Her research interests include technology-integrated instructional design in K–12 education, with a focus on AI-enabled learning environments and learners’ interactions with generative AI feedback. During her visit, she explored the design of AI-based learning environments in higher education.
Congratulations on Dr. Lia Haddadian 🔗
December 15, 2025
Our graduate research associate, Lia Haddadian, earned her PhD on December 15, 2025. Congratulations to Dr. Haddadian on this outstanding achievement. Her work was highlighted as one of the Outstanding Graduate accomplishments this year. More details are available in the college feature on her work at the following link:
News Post
Below is a brief overview of Dr. Haddadian’s dissertation.
Title: Enhancing Argumentative Writing in EFL Education Through AI Powered Personalized Learning
Brief Abstract: This dissertation advances AI powered, personalized writing support through a design based research program integrating synthesis, development, and validation. The first study systematically reviewed 18 empirical studies on automated writing evaluation in adult EFL argumentative writing, identifying design principles and limitations that inform pedagogically grounded AWE systems. Building on these insights, the second study developed and validated AI based essay scoring models, demonstrating strong alignment between transformer based models and human ratings, with emerging but less mature performance from generative AI approaches. Together, the studies establish a validated and ethically grounded foundation for scalable, explainable, and pedagogically informed AI supported writing environments.
Dr. Kim was invited to present a talk for the Lewis College Seminar Series. 🔗
December 10, 2025
Dr. Kim presented an invited talk for the Lewis College Seminar Series on Wednesday, December 12, 2025, from 12:00 PM to 1:00 PM. The seminar consisted of a 45 minute presentation followed by 15 minutes of Q and A.
The topic of the presentation was “AI Powered Health Education: Innovations, Case Studies, and Future Directions.” In the talk, Dr. Kim introduced multiple projects developed by his research team in collaboration with faculty members and staff in the Lewis College School of Nursing. These projects include the deployment of SMART and Jill Watson in undergraduate and graduate level nursing courses over the past year. As a case study, Dr. Kim shared recent research findings from the Medical Surgical I course in Spring 2025 and outlined plans for further analyses using scaled up data from multiple nursing courses to examine the combined impacts of AI agents in authentic instructional settings.
In addition, Dr. Kim demonstrated ongoing developmental projects, including AI Powered Multimodal Instruction for Growth (AIM HIGH), an AI driven instructional platform, and AIM HIGH SIM, an AI augmented nursing simulation environment. The presentation also highlighted advanced multimodal representations and analytics features currently under development in his lab to further advance AIM HIGH in nursing education.
Dr. Kim joined the AI and Language Education Panel at World Languages Day 2025. 🔗
October 17, 2025
Dr. Kim participated in the Center for Urban Language Teaching and Research (CULTR) World Languages Day 2025 Panel at Georgia State University (https://cultr.gsu.edu/wld/). The panel discussion, held virtually on the morning of October 17, 2025, focused on the theme of AI and language education.
This year, CULTR’s World Languages Day featured a pre-recorded panel designed for audiences interested in exploring the intersection of language and artificial intelligence. With opening remarks by Dr. Hakyoon Lee and moderation by Dr. Tim Jansa, Dr. Kim, along with two other panelists, shared insights on how language skills and global competency have shaped their careers while addressing questions about AI usage and development.
Dr. Min Kyu Kim
With a Ph.D. in Learning, Design, and Technology from the University of Georgia, Dr. Kim is an associate professor within GSU’s Department of Learning Sciences. Founding the AI2 Research Laboratory, Dr. Kim has many years of experience pursuing research regarding AI-driven personalized learning, technology-enhanced assessment, and learner engagement in digital environments in order to create equitable learning environments.
Dr. Marta Galindo
Currently, the director of the Center for International Resources and Collaborative Language Engagement, Dr. Galindo, research highlights language learning technology usage and AI.
Darrah DeVane
Graduating with a Master of Arts in Applied Linguistics from GSU in May 2025, Darrah DeVane is currently a Learning Designer at Duolingo, utilizing her language proficiency of Korean and English to create and design language courses.