AI projects
Syllabot
Syllabot is a generative AI-powered learning assistant available 24/7 to answer students’ syllabus questions. Once given access to a course syllabus and a course schedule. it can provide instant answers to questions regarding course content, deadlines, grading policies, assignments and more.
- Implemented fall 2024 in EDT 180 – Technology Literacy: Problem Solving with Digital Technology Applications.
- The syllabot knowledge base includes the specific sylllabus and course schedule for each semester and is restricted to the knowledge base with a low temperature setting with the intent of eliminating hallucinations.

Population
395 total number of unique students interactive with the bot.
Duration
The bot was used for a total of 30 days across the fall 2024 semester.
3.18 (SD=2.0)
The average number of queries by a student per week.
3.17 (SD=1.78)
Average number of queries by a student per day.
Syllabus Helper
Syllabus Helper is a generative AI-powered tool designed to support faculty in creating syllabi that are clear, intuitive and aligned with institutional guidelines.
Grant-funded projects
Active Learning at Scale: Transforming Teaching and Learning via Large-Scale Learning Science and Generative AI
Funded by the Institute of Education Sciences | 2024-2027 | $3.75M
Harnessing the power of learning science and generative AI, Active Learning at Scale aims to transform teaching and learning through evidence-based, adaptive technologies. Funded by the Institute of Education Sciences, the project develops flexible learning environments and uses Large Language Models to deliver real-time feedback, enabling students to engage meaningfully with content any time, any where.
Mid-scale RI-2: A National Research Infrastructure for Large-Scale Learning Science and Engineering
Funded by the National Science Foundation | 2024-2029 | Total award #89.9M | ASU subaward $4.83M
Revolutionizing how researchers study learning at scale. Mid-scale RI2 is building SEER (Secure Enclaves for Education Research) — a groundbreaking national cyberinfrastructure that enables secure, ethical and private analysis of human learning. Supported by the National Science Foundation, this initiative connects researchers to data from large-scale digital learning platforms, unlocking new opportunities to advance STEM education across all levels.
The ASU Learning at Scale Digital Learning Network
Funded by the Institute of Education Sciences | 2021-2026 | $2M
The ASU Learning at Scale Digital Learning Network is developing essential infrastructure to securely connect and analyze student achievement data within ASU’s online ecosystem. By enabling responsible data access for researchers at ASU and beyond, the project supports large-scale learning research while upholding institutional and individual privacy.
AI in Education Principled Innovation Grant Program: Featured projects
Nine interdisciplinary teams of faculty and staff received a mini grant to design transformative, generative AI-based solutions to pressing educational challenges—guided by the principles of Principled Innovation.
Publications
Featured publications
Imundo, M. N., M. Watanabe, A. H Potter, J. Gong, T. Arner, and D. S. McNamara. 2024. Expert thinking with generative chatbots. Journal of Applied Research in Memory and Cognition 3(4):465–484. DOI: 10.1037/mac0000199.
Science of Learning and Educational Technology Lab

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