On this page, we aim to keep you up-to-date on events relevant to AI in Education.

Member Events 2023

June 14th 4:00pm - 5:00pm (EST) over Zoom. Slides Notes

Introductory meeting

Speaker Series

If you are interested in presenting, please contact the leadership team. Guidelines for speakers can be found here.

July 12th 4:00pm - 5:00pm (EST) over Zoom. Slides

Title: “Khanmigo” Demonstration & Lessons Learned Building GenAI Apps

Presenter: Kristen Dicerbo, Chief Learning Officer, Khan Academy

Title: Open Source Revolution: Large Models on Small Hardware

Presenter: Chris Ormerod, Principal Data Scientist, Cambium Assessment

August 9th 4:00pm - 5:00pm (EST) over Zoom. Slides

Title : Exploring Automated Distractor and Feedback Generation for Math Multiple-choice Questions via In-context Learning

Presenter: Andrew Lan, University of Massachusetts Amherst

Recording : [link] (Passcode: BaF?W=@6)

September 13th 4:00pm - 5:00pm (EST). Slides

Title: Automated Item Development for Language Assessment: Using GPT to create complex reading and listening tasks

Presenter: Andrew Runge, Duolingo

Recording : [link] (Passcode: MA4^r8E#)

October 11th 4:00pm - 5:00pm (EST) Slides

Title: Bias in Large Language Models in Education: Sources, Measures, and Mitigation Strategies

Presenter: Réne Kizilcec, Assistant Professor, Purdue University [link]

November 8th 4:00pm - 5:00pm (EST) Slides

Title: Exploring the Results of the NAEP Math and Reading Automated Scoring Challenges: Implications for Fairness

Presenter: Maggie Beiting-Parrish, Federation of American Scientists [link]

December 13th 4:00pm - 5:00pm (EST)

Title: Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference

Presenter: Zachary Levonian [link]

Member Events 2024

February 14th 4:00pm - 5:00pm (EST) Slides

Title: An Application of Text Embeddings to Support Alignment of Educational Content Standards

Presenters: Harold Doran & Reese Butterfuss, Human Resources Research Organization

March 14th 4:00pm - 5:00pm (EST) Slides

Title: Using Large Language Models for Item Development beyond Language Testing: Barriers and Opportunities

Presenter: Victoria Yaneva, National Board of Medical Examiners

April 11th-14th : NCME Annual Conference

Consider this Schedule of Talks about AI and Measurement or Education

May 8th 4:00pm - 5:00pm (EST)

Title: Natural Language Processing for Improving Student Learning Outcomes

Presenter: Rose E. Wang, Stanford University

June 12th 4:00pm - 5:00pm (EST)

Title: TBD

Presenter: TBD

Active Publication Opportunities

This is a running list of potentially relevant publication opportunities for Generative AI.

White Paper Proposal

Call for Participation - The ethical use of AI in educational measurement

We are looking for researchers to contribute to a white paper on the Ethical use of AI in educational measurement. Examples of topics include the following:

  • Accountability when AI is used for measurement

  • Detection and mitigation of algorithmic bias when using AI for measurement

  • Transparency in the use of AI for measurement

  • Toxicity in generative AI applications

  • Regulations on the ethical use of AI for measurement

If you are interested, please email Okan Bulut at

Special Issue Education and Information Technologies

Special Issue on Applications of Generative Artificial Intelligence Technologies in Education Applications of generative technologies to education are diverse and can be described through several viewpoints: Stakeholders, employment sector, ethical issues. Expected contributions include the following, but as we write this call for papers new applications appear in new contexts, so works illustrating other points of view are also welcome:

  • helpful tools for teachers, such as MCQ generators that simplify their daily tasks and save more time for direct interaction with students

  • changing teachers’ and institutions’ evaluation practices to avoid possible cheating and plagiarism

  • personalized advice and follow up for students, new tools available for helping them in solving many problems

  • new policies design by institutions, including new diploma architectures applications dedicated to parents

  • new curricula adapted in terms of content as well as in ways of teaching and learning

From an ethical viewpoint,

  • how to deal with potential “fakes” everywhere
  • would educators and parents accept the use of core tools applications if their underlying principles are not made public?
  • would educators and parents accept new tools if their training needs a computing power that only a handful of private world corporations can afford and that needs huge amounts of energy?
  • How does generative artificial intelligence affect progress towards the United Nation’s Sustainable Development Goal 4, on ensuring inclusive and equitable quality education for all?

Submission website

Please send any new entries to John Whitmer and Maggie Beiting-Parrish