AIME-Con 2026 | October 5–7 | Pittsburgh
We are thrilled to announce the return of the NCME Artificial Intelligence in Measurement and Education Conference (AIME–Con) following last year’s sold-out success!
This year’s conference theme, “Measurement Science in AI-Integrated Assessment and Pedagogy,” explores the vital intersection of AI innovation and psychometric rigor, ensuring that the next generation of educational tools is anchored in validity, reliability, and fairness.
AIME-Con brings together an interdisciplinary group of leading experts in AI, psychometrics, education, NLP, and learning analytics to bridge gaps between these fields. We can’t wait to see you at AIME-Con this October to help shape the future of AI in measurement and education!
Mark Your Calendar
- October 5: Hands-on training sessions
- October 6–7: Keynotes, paper presentations, and panels
- October 6 (Evening): Networking reception and poster presentations
- October 7 (Evening): Closing plenary session and reception
Call for Proposals
The call for proposals is now open! The submission deadline is June 14. Notifications of acceptances will be sent by August.
Schedule
A full schedule for AIME-Con will be available in the future.
Keynotes
Professor Dragan Gašević is a leading scholar in learning analytics and educational data science, currently based at Monash University, where he serves as a Professor and Director of the Centre for Learning Analytics. His work focuses on understanding and improving learning and teaching through the analysis of large-scale educational data, with particular emphasis on self-regulated learning, assessment, and the design of effective digital learning environments.
Professor Gašević has made significant contributions to bridging the fields of education, data science, and artificial intelligence, helping shape learning analytics as a mature research discipline. He is widely published in top-tier journals and has received multiple awards for his research, including recognition from international educational and computing societies.
Beyond his research, he plays an active leadership role in the global learning analytics community, including editorial responsibilities for major journals and involvement in key conferences such as LAK (Learning Analytics & Knowledge). His work has had substantial impact on both academic research and institutional practices, informing how universities use data to enhance student success and teaching quality.
Alina A. von Davier is a researcher, innovator, and an executive leader with over 20 years of experience in EdTech and in the assessment industry. She is currently the Chief of Assessment at Duolingo, where she leads the Duolingo English Test research and development area. She is also the Founder and CEO of EdAstra Tech, a service-oriented EdTech company. In 2022, she joined the University of Oxford as an Honorary Research Fellow, and Carnegie Mellon University as a Senior Research Fellow. She currently serves as a Non-executive Director on the Board for MACAT, an EdTech company focused on critical and creative thinking, learning and assessment and she is a Venture Partner for LearnLaunch Fund and Accelerator. Her research is in the field of computational psychometrics, machine learning, and education.
Von Davier was a Chief Officer at ACT, where she led ACTNext, an innovation unit. Previously she was a Senior Research Center Director at Educational Testing Service. Von Davier earned an M.S. in Mathematics from the University of Bucharest in 1990, and a Doctorate in Mathematics from Otto von Guericke University Magdeburg in 2000. She also completed classes in an Executive MBA program from Harvard Business School in 2019.
Von Davier’s work has been widely recognized in the academic community. In 2019, she was a finalist for the Innovator award from the EdTech Digest. In 2020, she received ATP’s Career Award for her contributions to assessment. The American Educational Research Association awarded her the Division D Signification Contribution Educational Measurement and Research Methodology Award for her publications “Computerized Multistage Testing: Theory and Applications” (2014) and an edited volume on test equating, “Statistical Models for Test Equating, Scaling, and Linking” (2011). In 2022 she also received the Brad Hanson award from National Council in Education (NCME) for her work on adaptive testing and for the co-authored book on computer adaptive testing with R.
See von Davier’s GoogleScholar page: https://scholar.google.com.br/citations?user=Eu9DtEsAAAAJ&hl=en
Travel
Hotel
Wyndham Grand Pittsburgh Downtown
600 Commonwealth Pl, Pittsburgh, PA 15222
Rate: $229/night
Deadline: September 4
Airport
Pittsburgh International Airport (PIT)
About AIME-Con
The Artificial Intelligence in Measurement and Education Conference (AIME-Con) is a premier gathering designed to bring together an interdisciplinary community of experts working at the intersection of artificial intelligence (AI), educational measurement, assessment, natural language processing, learning analytics, and technological development. As AI continues to transform education and assessment practices, this conference will provide a critical platform for fostering cross-disciplinary dialogue, sharing cutting-edge research, and exploring the technical, ethical, and practical implications of AI-driven innovations in measurement and education.
A key objective of the AIME-Con is to facilitate learning and collaboration across diverse fields. The rapid integration of AI in educational tools has created a pressing need for experts across a wide range of fields to engage in meaningful discussions about best practices, challenges, and opportunities in AI-enhanced assessment and instruction. Attendees will gain insights into the application of AI in such areas as:
- Formative feedback and personalized learning
- AI-driven scoring and item generation
- Explainability and transparency in AI-based measurement
- Ethical considerations such as data privacy and bias mitigation
- The role of AI in shaping educational policies and best practices
By bringing together experts from these varied domains, the conference will foster a rich exchange of knowledge that enhances the collective understanding of AI’s impact on educational measurement and evaluation.
The AIME-Con offers educational measurement professionals and researchers an opportunity to deepen their knowledge of AI applications and stay at the forefront of emerging methodologies in education, assessment, and measurement. Data scientists, NLP and AI researchers and developers will gain valuable insights into creating responsible and effective AI-driven tools that support teaching and learning. State and local education policymakers will gain knowledge to make informed decisions about AI adoption in schools and assessment programs. Educators and instructional designers will discover how AI can enhance personalized learning and formative assessment practices while maintaining ethical and pedagogical integrity.
In addition to an engaging lineup of keynote speakers, paper and poster presentations, coordinated sessions and panels, and hands-on training sessions, the conference will offer both formal and informal networking opportunities. Attendees can connect and collaborate during interdisciplinary sessions and an evening poster session with food and drinks to provide a relaxed environment for discussion and idea exchange. Additionally, the exhibitor hall will feature industry leaders showcasing the latest AI-driven educational technologies. These opportunities will enable participants to build meaningful professional relationships and explore new collaborations that extend beyond the conference.
By creating a dynamic space for knowledge sharing and networking, the AIME-Con aims to drive innovation and shape the future of AI in educational measurement and assessment.
Past Conferences
- 2025 Artificial Intelligence in Measurement and Education Conference
(hosted in Pittsburgh, October 27–29)