Artificial Intelligence in Measurement and Education Conference (AIME–Con) 

Innovation and Evidence: Shaping the Future of AI in Educational Measurement

Quick Information 

Conference Purpose and Description 

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.

Conference Theme

Innovation and Evidence: Shaping the Future of AI in Educational Measurement

The AIME–Con will focus on how rigorous measurement standards and innovative AI applications can work together to transform education. With sessions spanning summative large-scale assessment, formative classroom assessment, automated feedback, and informal learning tools, this conference is dedicated to fostering both the advancement and responsible evaluation of AI in education. By gathering a diverse community of experts in AI, measurement, and education research and policy, we aim to encourage forward-thinking development of AI technologies that are effective, reliable, and fair. Together, we are building a collaborative space where innovation and evidence meet to enhance educational outcomes and shape the future of both educational measurement and measurement- and assessment-focused AI.

Call for Papers, Posters and Training Sessions

The AIME–Con invites submissions for:

• Papers and posters that advance the understanding, application, and ethical considerations of AI in educational measurement and assessment. Papers will be presented on October 28 and 29; posters will be presented in the evening of October 28.
• The AIME–Con invites proposals for half-day, hands-on training sessions to be held in the afternoon on October 27. These training sessions should align with the conference’s theme and focus on equipping participants with the tools and frameworks necessary to navigate the evolving AI landscape.

Read the call for proposals for additional information and instructions. 

Important Dates

Sponsor the AIME-Con

Become a Sponsor of the AIME Conference

The AIME–Con invites forward-thinking organizations to partner with us in shaping the future of AI in education. Sponsorship provides a unique opportunity to showcase your commitment to advancing AI in education, to engage with interdisciplinary experts, and gain visibility among key decision-makers in education, technology, and policy.

We offer a range of sponsorship levels—Platinum, Gold, Silver, Bronze, and Supporting Sponsor—each with tailored benefits, including prominent brand exposure, opportunities to present thought leadership, and access to our vibrant Exhibitor Hall. Sponsoring the AIME–Con positions your organization at the center of critical discussions on AI, assessment, and learning innovation.

Sponsorship details and benefits will be announced soon. If your organization is interested in securing an early partnership and maximizing engagement, contact us today at aimecon@ncme.org.

Get Involved

The AIME–Con welcomes your involvement! This is an incredible opportunity to provide impactful service and shape the success of the conference. Contact aimecon@ncme.org if you would like to volunteer in one or more of the following ways:

• Conference program committee - responsible for assisting in the assembly of sessions and the overall program (July–September)
• Sponsorship committee - responsible for helping solicit conference sponsorships (ongoing, beginning in February)
• Proposal reviewer - responsible for reviewing proposals (June)

Register for the Conference

Costs and Registration Information, Including a Link to Hotel Accommodations, Will be Available in Early Spring

Keynote Speakers

Liberty Munson

Liberty Munson is the Director of Psychometrics for the Microsoft Worldwide Learning organization. She is considered a thought leader in the certification industry, especially in areas related to accessibility and inclusivity of credentialing experiences and how technology can fundamentally change our approach to assessment design, development, delivery, and sustainment, and has proposed many innovative ideas related to the future of certification. She received the eAssessment Association’s Practitioner of the Year Award—Individual 2024.

Prior to Microsoft, she worked at Boeing in their Employee Selection Group and internal certification program and managed their Employee Survey. She received her BS in Psychology from Iowa State University and MA and PhD in Industrial/Organizational Psychology with minors in Quantitative Psychology and Human Resource Management from the University of Illinois at Urbana-Champaign.

Ken Koedinger

Ken Koedinger is a professor of Human Computer Interaction and Psychology at Carnegie Mellon University. Dr. Koedinger has an M.S. in Computer Science, a Ph.D. in Cognitive Psychology, and experience teaching in an urban high school. His research has contributed new principles and techniques for the design of educational software and has produced basic cognitive science research results on the nature of student thinking and learning. Koedinger directs LearnLab, which started with 10 years of National Science Foundation funding and is now the scientific arm of CMU’s Simon Initiative. LearnLab builds on the past success of Cognitive Tutors, an approach to online personalized tutoring that is in use in thousands of schools and has been repeatedly demonstrated to increase student achievement, for example, doubling what algebra students learn in a school year. He was a co-founder of CarnegieLearning, Inc. that has brought Cognitive Tutor based courses to millions of students since it was formed in 1998, and leads LearnLab, now the scientific arm of CMU’s Simon Initiative. Dr. Koedinger has authored over 250 peer-reviewed publications and has been a project investigator on over 45 grants. In 2017, he received the Hillman Professorship of Computer Science and in 2018, he was recognized as a fellow of Cognitive Science.