Events
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 bulut@ualberta.ca.
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 www.editorialmanager.com/eait
Please send any new entries to John Whitmer jwhitmer@fas.org and Maggie Beiting-Parrish Magdalen.Beiting@ed.gov