AI + Education Learning Community Series; A collaborative platform for professionals in K-12 and higher education.

AI + Education Learning Community Series

The Graduate School of Education at the University at Buffalo (UB) presents the AI + Education Learning Community Series. In collaboration with the Institute for Artificial Intelligence and Data Science, the Center for Information Integrity and the Institute for Learning Sciences at UB as well as the National Science Foundation/Institute of Education Sciences-funded National AI Institute for Exceptional Education, this series aims to create a collaborative platform for professionals in K-12 and higher education to better understand AI in education.

Together, educational researchers, learning scientists, AI experts, K–12 educators and leaders and practitioners in related fields will explore the vast potential AI holds for personalizing learning and optimizing educational outcomes while addressing potential ethical and equity concerns. The AI + Education Learning Community Series is structured to cater to the multifaceted needs of educators, researchers and practitioners. It seeks to not only deepen the understanding of AI's role in education but also foster connections with potential collaborators and community partners. The AI + Education Learning Community Series is open to all interested professionals in the education sector and related fields.

Scheduled to occur every fourth Tuesday of the month via Zoom from 4 to 5 p.m., the series will kick off on Jan. 23, 2024. Over the subsequent months, a diverse array of topics will be covered, including leveraging machine learning for personalized education, ethical considerations of AI in education, data privacy and security, mental health and well-being innovations, learner engagement and much more.

Series Schedule

Date Time Topic Facilitator(s) Register
Jan. 23, 2024 4 to 5 p.m.

Introduction to AI and Its Use in Educational Settings

 

To kick off the AI + Education Learning Community Series, this talk will provide a high-level introduction on artificial intelligence (AI) for the audience. Sample topics include some of the most fundamental concepts and principles behind those fancy AI (and machine learning) terminologies, including deep neural networks and ChatGPT. We will then provide a few concrete use cases for AI in the educational setting, including those to be developed at the National AI Institute for Exceptional Education.

 

Recommended reading list:

  1. The History of Artificial Intelligence
  2. Watson, ‘Jeopardy!’ Champion
  3. AlexNet and ImageNet: The Birth of Deep Learning
  4. Intro to Large Language Models

Dr. Jinjun Xiong
SUNY Empire Innovation Professor in the Department of Computer Science and Engineering and Director of the Institute for Artificial Intelligence and Data Science, School of Engineering and Applied Sciences, University at Buffalo

 

Dr. Brian Graham
Superintendent, Grand Island Central School District

View the Session
Feb. 27, 2024

4 to 5 p.m.

 

Leveraging Machine Learning for Personalized Education/Special Needs

This talk provides an introduction to how machine learning technologies such as generative AI can be used to power innovative applications for personalized education, especially for children with special needs. We explore cutting-edge foundational models (large language models, vision-language models), text-to-image generation models, and multimodal retrieval models, focusing on their use for creating custom educational tools for personalized learning, interventions for speech-language therapies, and screening and intervention for developmental language disorders such as dyslexia and dysgraphia. Join us to discover how advances in AI are being leveraged to open new frontiers for special education at the National AI Institute for Exceptional Education.

 

Recommended reading list:

  1. Text-to-Image Generation
  2. How Diffusion Models Work
  3. Speech Sound Disorders
  4. Contrastive Therapy
Srirangaraj (Ranga) Setlur
Managing Director, National AI Institute for Exceptional Education
University at Buffalo
View the Session
March 26, 2024 4 to 5 p.m.

Navigating Ethical Implications of AI in Education

Artificial Intelligence (AI) has provided new personalized opportunities for education. The development of tools that have the promise to benefit education continues to develop rapidly. On the other hand, our understanding of the ethical and societal risks associated with AI technologies has not kept pace. This discussion will dive into some ethical issues educators confront when using AI in the classroom. Privacy, bias and discrimination, surveillance and autonomy will be discussed in the context of K-12 and higher education.

Rachael Hageman Blair
Associate Professor, School of Public Health and Health Professions, University at Buffalo

 

Rachel Kent

Career & Technical Education Teacher

Buffalo Public Schools Career & Technical Education

 

Gregory Conley

Instructional Technology Coach

Buffalo Public Schools

 

Dr. Loretta Frankovitch

Assistant Director of the Office of Academic Integrity

University at Buffalo

View the Session
April 23, 2024 4 to 5 p.m. Ensuring Data Privacy and Security
Hongxi Hu
Associate Professor in the Department of Computer Science and Engineering, School of Engineering and Applied Sciences, University at Buffalo

Saguna Shankar
Assistant Professor in the Department of Information Science, Graduate School of Education, University at Buffalo
REGISTER
May 28, 2024 4 to 5 p.m. Enhancing Mental Health and Wellbeing through AI Innovations
Paris Wicker
Assistant Professor in the Department of Educational Leadership and Policy, Graduate School of Education, University at Buffalo

Ian Mette
Associate Professor in the Department of Educational Leadership and Policy, Graduate School of Education, University at Buffalo
REGISTER
June 25, 2024 4 to 5 p.m. Improving Learner Engagement: AI and Humanization
David Jackson
Assistant Professor in the Department of Learning and Instruction, Graduate School of Education, University at Buffalo
REGISTER
July 23, 2024 4 to 5 p.m. Synergizing AI with Teaching Strategies for Classroom Excellence
Mary Howard
Grade 6 Teacher, Grand Island Middle School
REGISTER
Aug. 27, 2024   4 to 5 p.m. AI in Assessment:  Crafting Adaptive Learning Experiences
Samuel ​​Abramovich
Associate Professor in the Department of Learning and Instruction and the Department of Information Science, Graduate School of Education, University at Buffalo
REGISTER
Sept. 24, 2024 4 to 5 p.m. Immersive Learning with VR and AR Technologies Christopher Hoadley
Professor in the Department of Learning and Instruction in the Graduate School of Education and the Department of Computer Science Education in the School of Engineering and Applied Sciences, Director of the Institute of Learning Sciences, University at Buffalo
REGISTER
Oct. 22, 2024 4 to 5 p.m. Bridging Formal and Informal Learning via AI
Alison Hendricks
Assistant Professor in the Department of Communicative Disorders and Sciences, College of Arts and Sciences and Validation of Impacts Lead, National AI Institute for Exceptional Education, University at Buffalo
REGISTER
Nov. 19, 2024   4 to 5 p.m. Promoting Educational Equity and Accessibility via AI
X. Christine Wang
Associate Dean for Interdisciplinary Research and Professor in the Department of Learning and Instruction at the Graduate School of Education, Director of the Fisher-Price Early Childhood Research Center, Education and Workforce Development Lead, National AI Institute for Exceptional Education, University at Buffalo
REGISTER
Dec. 17, 2024 4 to 5 p.m. AI Literacies for K-12 Students and Teachers

Christopher Proctor
Assistant Professor in the Department of Learning and Instruction, Graduate School of Education, University at Buffalo

 

Ryan Rish
Associate Professor in the Department of Learning and Instruction, Graduate School of Education, University at Buffalo

REGISTER

Past Sessions

AI + Education Learning Community Series, Introduction to AI and Its Uses in Educational Settings

Introduction to AI and Its Uses in Educational Settings

Jinjun Xiong, PhD
Director of the Institute for Artificial Intelligence and Data Science
University at Buffalo

Brian Graham, EdD
Superintendent
Grand Island

Published January 23, 2024

AI + Education Learning Community Series. A collaborative platform for professionals in K-12 and higher education

Leveraging Machine Learning for Personalized Education Special Needs

Srirangaraj (Ranga) Setlur
Managing Director, National AI Institute for Exceptional Education University at Buffalo

Published February 27, 2024

AI + Education Learning Community Series

Navigating Ethical Implications of AI in Education

Rachael Hageman Blair, PhD
Associate Professor, School of Public Health and Health Professions, University at Buffalo

Rachel Kent
Career & Technical Education Teacher, Buffalo Public Schools Career & Technical Education

Gregory Conley
Instructional Technology Coach, Buffalo Public Schools

Loretta Frankovitch, PhD
Assistant Director of UB’s Office of Academic Integrity

Published March 26, 2024