Generative AI for Empowering Education

Workshop W1 – GAE2

Date: June 17
Time: 14:00 – 18:00

The workshop offers an in-depth exploration of generative AI’s transformative potential in STEM educational settings. Over four hours, it is structured into two comprehensive segments. The first part will present six selected case studies that showcase successful implementations of generative AI in diverse educational contexts. These case studies will provide practical insights and evidence-based strategies for leveraging AI to enhance teaching, learning, and administration. The second segment is an interactive session focused on co-developing a practical guide tailored for faculty and administrative staff. This guide will serve as a resource for integrating generative AI into AI-enhanced high education. The workshop aims to foster a collaborative environment that bridges theoretical knowledge and practical applications, emphasizing ethical use, innovation, and inclusivity in educational practices.

Call for oral presentation

This workshop offers an opportunity to showcase impactful practices and foster collaborations to redefine education through the power of generative AI. We look forward to your contributions!

We invite submissions addressing, but not limited to, the following areas:

  • Case Studies: Applications of generative AI in education for improving learning outcomes, administrative efficiency, or inclusive practices.
  • Tool Development: Innovations in generative AI tools tailored for educational contexts.
  • Ethics and Policy: Challenges and solutions for ethical and responsible AI use in education.
  • Pedagogical Strategies: AI-enhanced methods for personalized, interactive, or adaptive learning experiences.
  • Faculty Support: Training programs and resources for empowering educators and administrative staff to effectively use AI.
  • Future Directions: Visionary approaches to embedding generative AI in education.

Submission Guidelines

  • Abstracts: Up to 300 words, including a clear objective and significance.
  • Presentation Format: Each selected abstract will be allotted a 15-minute oral presentation slot
  • Submission: By email to labeffediesse@gmail.com and monica.conti@polimi.it with the following subject “Abstract for GAE2”
  • Deadline: 15 April 2025
  • Acceptance Notification: 30 April 2025

Agenda

Duration: 4 hours

Part 1: Case Studies

  1. Welcome: overview of AI in education for prompting the workshop
  2. Case Study Presentations
  3. Wrap-Up and Q&A

Part 2: Interactive Development of the Guide

Objective: Co-create a practical, actionable guide for faculty and administrative staff.

  1. Breakout Groups: Participants will join thematic groups to brainstorm and outline key components.
  2. Group Presentations: Each group presents their contributions, followed by collective feedback.
  3. Wrap-Up and Next Steps: Facilitators summarize the guide’s structure and discuss plans for dissemination.

Organizer

Professor Monica Conti is a Full Professor of Mathematical Analysis at the Department of Mathematics, Politecnico di Milano (DMAT). Her research interests primarily focus on partial differential equations, and she has authored over 80 publications in international journals within this field. She is also the co-author of two university textbooks on Calculus and Mathematical Analysis. Member of the FDS Laboratory for Teaching, Training, and Experimentation at DMAT, she has contributed to the development of Massive Open Online Courses (MOOCs) hosted on the POK Platform of Politecnico di Milano, and more recently, on the Coursera platform.

Professor Conti is actively involved in mathematics education, with a particular focus on innovative teaching methods, including the use of generative AI tools such as ChatGPT in classroom settings. She has served as an instructor for teacher training courses aimed at enhancing mathematical instruction, with a specific emphasis on the integration of genAI technology.