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.

News@AI2 RL

AI2 Lab Fall Feast

AI2 Lab Fall Feast

October 22, 2022

AI2 members at GSU had a Fall Feast event at Dr. Kim's house on October 22, 2022. 

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AI2 members gave a talk about AI-enabled learning analytics.

AI2 members gave a talk about AI-enabled learning analytics.

October 4, 2022

Director Dr. Min Kyu Kim and two graduate research associates, Jinho Kim and Yoojin Bae were invited to present the topic, "AI-Enabled Learning Analytics: Strategies and Examples"

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Jinho Kim and Lia Haddadian present lastest work at AI-ALOE

Jinho Kim and Lia Haddadian present lastest work at AI-ALOE

August 19, 2022

On August 19, 2022, there was an National Science Foundation (NSF) visit meeting at AI-ALOE with NSF Program Director, James Dolon.

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Research Projects

NSF AI Institute: AI Institute for Adult Learning and Online Education (ALOE) (Grant/Award Number: 2112532), National Science Foundation.

NSF AI Institute: AI Institute for Adult Learning and Online Education (ALOE) (Grant/Award Number: 2112532), National Science Foundation.

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

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.

SMART (Student Mental Model Analyzer for Research and Teaching) System

SMART (Student Mental Model Analyzer for Research and Teaching) System

SMART is a formative assessment and feedback system that analyze students’ academic essays (e.g., summaries of a text) and provide feedback to help learners to build a solid knowledge structure of a complex problem situation or reading materials. SMART analyzes students’ mental models in three dimensions (surface, structure, and semantic).

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Publications

Lee, M., Kim, S., Choi, S. Y., & Kim, J. (2022). Does the International Baccalaureate Diploma Program (IBDP) contribute to Whole-Person Development? The Rise of the IBDP in Asia and its implications for education reform. In Centering Whole-Child Development in Global Education Reform (pp. 83–101). Routledge.

Kim, M., & Kim, N. (2022). AI-supported scaffolding for writing academic arguments. In C. Chinn, E. Tan, C. Chan, & Y. Kali (Eds.), Proceedings of the 16thInternational Conference of the Learning Sciences-ICLS2022 (pp. 1129-1132). Hiroshima, Japan: International Society of the Learning Sciences. https://www.dropbox.com/s/ws5sdcfi72aykj1/ICLS2022%20Proceedings.pdf?dl=0  

Bundrage, C. & Mapson, K. (2022). Design and Development of an Online Professional Development Course on Culturally Responsive Pedagogy Using the ADDIE Model. In E. Langran (Ed.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 248-256). San Diego, CA, United States: Association for the Advancement of Computing in Education (AACE). Retrieved April 29, 2022 from https://www.learntechlib.org/primary/p/220742/.

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