AI2 Research Laboratory
AI2 stands for Artificial intelligence (A), Interactive (I), Augmented (A), and Immersive (I) learning environments. AI2 represents the innovative learning environments we pursue to advance more adaptable, engaged, equitable, and effective teaching and learning in various educational contexts. We build on the legacy of our understanding of how people learn to answer the question, how we can scaffold people to learn better. Our endeavor to promote AI2 learning is driven by our belief that most learners can achieve learning goals if provided with appropriate instructional support.
October 30, 2023
At the 2024 Association for Educational Communication and Technology (AECT) convention, the AI2 members—Lia, Jinho, Yoojin, and our director, Dr. Kim—presented research papers from the NSF AI ALOE and NSF SaTC projects. Our graduate associates achieved remarkable success in their presentations and subsequent Q&A sessions. Through our projects, we demonstrated AI's potential to transform education by designing and implementing AI-augmented teaching and learning experiences, such as personalized learning in higher education and adult education... Read More
October 6, 2023
Please welcome our undergraduate interns: Akshat, Akshit, Jeshal, Jinash, Shanshan, and Solanlly. Our interns will work on developing a new version of SMART, fully enhanced by generative AI. They are exceptionally intelligent students from the Honors College. These smart interns will contribute to making SMART even smarter. Cheers!.. Read More
September 25, 2023
The director, Dr. Min Kyu Kim, was named a program chair for the Association for Computing Machinery's (ACM) Learning @ Scale 2024 Conference. This annual event highlights high-quality research on how learning and teaching can be transformed at scale in diverse learning environments... Read More
NSF IUSE-Engaged Student Learning (Level 1): AI-Scaffolded Pre-Classroom Learning for Large/Introductory Undergraduate Physics Courses
This Engaged Student Learning Level 1 project aims to serve the national interest by designing and implementing an Artificial Intelligence (AI)-augmented formative assessment and feedback system. This system will help students develop source-based STEM arguments, such as STEM text summarization, or problem spaces, which are mental representations of a problem and of multiple paths to solving it. This will be implemented in large, undergraduate introductory physics courses at an urban university that serves diverse and historically underrepresented student groups. Persistent learner engagement in pre-classroom learning activities is critical to learner success in introductory STEM courses. The innovation of the project will include AI-generated adaptive scaffolding information and learning progress feedback with data visualization techniques to help students with concept learning and self-regulatory behaviors. The unique learning opportunities supported by an AI-scaffolded feedback system will significantly increase students' engagement levels in self-paced online pre-classroom learning. This, in turn, will help students acquire content knowledge and build a proper understanding of problems to prepare themselves for success in in-classroom interactive problem-solving activities.
The ALOE institute is led by the Georgia Research Alliance (GRA), headquartered at Georgia Tech. The interdisciplinary and cross-institutional effort unites experts in computer science, artificial intelligence (AI), cognitive science, learning science and education from two Non-Profit Organizations (GRA and IMI Global), three industry partners (IBM, Boeing and Wiley) and seven universities (Georgia Tech, Georgia State, Harvard, Arizona State, Drexel, University of North Carolina, and multiple colleges within the Technical College System of Georgia [TCSG]). The multinational company Accenture joins NSF as a funding partner of ALOE.
The 5-year NSF grant is to establish the NSF AI Institute for Adult Learning and Online Education (ALOE) that will develop new AI theories and techniques as well as new models of lifelong learning, and evaluate their effectiveness at Georgia Tech, Georgia State, multiple colleges within the Technical College System of Georgia (TCSG), as well as with corporate partners IBM, Boeing and Wiley. ALOE aims to integrate AI theories, models, and techniques into online adult learning to create more available, affordable, adaptable, and scalable learning experiences, which creates more effective and efficient teaching and learning.
Artificial Intelligence-Augmented Motivation Indicator (AIMI) System
AIMI is an AI-augmented system that detects learners’ real-time motivation levels. AIMI utilizes neural network algorithms that interpret student facial expressions to indicate students’ current emotions (i.e., anger, disgust, fear, happiness, sadness, surprise, and neutral) and motivation levels in real-time.
Bae, Y., Kim, J., & Kim, M. (2023). Clustering cognitive engagement changes in a longitudinal traced discussion data from an online course. In Damșa, C., Borge, M., Koh, E., & Worsley, M. (Eds.). Proceedings of the 16th International Conference on Computer-Supported Collaborative Learning - CSCL 2023 (pp. 297-300). Montreal, Canada: International Society of the Learning Sciences.
Kim, J., Haddadian, G., & Kim, M. (2023). An investigation of knowledge-based AI vs. human evaluation in academic summary evaluation: Similarities, dissimilarities, and being toward mutual understandings. In Blikstein, P., Van Aalst, J., Kizito, R., & Brennan, K. (Eds.). Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023 (pp. 994-997). Montreal, Canada: International Society of the Learning Sciences.
Kim, M., Kim, N., Haddadian, G., & Heidari, A. (2023). A test of learning progress models using an AI-enabled knowledge representation system. In Blikstein, P., Van Aalst, J., Kizito, R., & Brennan, K. (Eds.). Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023 (pp. 986-989). Montreal, Canada: International Society of the Learning Sciences.