Program

Welcome to the Education with GenAI Showcase!

Please note that the indicated time is China Standard time (CST).

Please join us in Zoom:  https://nyu.zoom.us/j/94009883735 

Refer to individual sessions below for session-specific zoom link.

9:30 - 9:45 | E901 Registration [for in-person participants]
09:45 - 11:00 | E901 Showcase Opening & Keynote

Mark Warschauer

We are honored to introduce Professor Mark Warschauer as a distinguished keynote speaker for our program.

Mark Warschauer is a Professor of Education and director of the Digital Learning Lab at UC Irvine with affiliated appointments in Informatics, Language Science, and Psychological Science. He is one of the most widely-cited scholars in the world on digital learning topics such as computer-assisted language learning, digital literacy, the digital divide, one-to-one laptop classrooms, and artificial intelligence in education. His team is currently focusing on generative AI in Education, the use of conversational agents to support children’s learning and on the teaching and learning of computer science for linguistically diverse students.

Please join us in Zoom:  https://nyu.zoom.us/j/94009883735 

11:10 - 12:20 | E901 Parallel Session 1-A: Supporting Student Creativity & Design with GenAI

Join session 1A: https://nyu.zoom.us/j/94009883735 

This series of lightning talks delves into how AI is changing the way we approach creativity and design across various fields. From facilitating creativity process in the visual arts to enabling experimental product design, and enhancing self-awareness and socio-emotional learning through creative expression, our speakers will take you on a journey through the creative applications of GenAI. 

Panel discussion moderated by Bogna Konior, Assistant Professor of Interactive Media Arts, NYU Shanghai

Lightning Talks:

Visible Muses: AI for brainstorming and visual presentation in project-based learning
Yanyue Yuan, Assistant Arts Professor, Interactive Media and Business, NYU Shanghai

GenAI Enable Creative Design for New Product Launch
Yinghong Wang, Assistant Professor of Practice in Marketing, Capstone Director of MRS program, Faculty of Graduate and Advanced Education, NYU Shanghai

Promoting Self- and Social Awareness through AI-enabled Creative Expression Collage
Zhou Zoe Yuan, Teaching Fellow, Interactive Media and Business, NYU Shanghai

Painting Apples and Oranges: Comparing traditional and AI generated approaches to idea and image refinement in the Visual Arts.
Maya Kramer, Assistant Arts Professor of Visual Arts, NYU Shanghai 

11:10 - 12:20 | E904 Parallel Session 1-B: Designing Teaching & Learning with GenAI

Join session 1B:  https://nyu.zoom.us/s/94914369215

This series of lightning talks showcases the evolving collaboration between instructors and GenAI, as well as the triad of instructors, students, and GenAI in creating level-appropriate tasks and learning experiences. It delves into how AI enhances teaching efficiency, facilitates the joint creation of student-focused educational experiences, and becomes an essential tool for learning.

Panel discussion moderated by Evgeniya Efremova, Director for the Center for Teaching and Learning, NYU Shanghai

Lightning Talks:

Integrating Generative AI within EAP Pedagogy: Strategies to Reduce the Cognitive Load
Laura Davies, Assistant Director of English for Academic Purposes, Senior Lecturer, Language and Culture Center, Duke Kunshan University

Go-Designing Learning Experiences with Students and GenAI
Gabrielle Chou, Associate Professor of Practice, Program on Creativity and Innovation, Interactive Media & Business, NYU Shanghai

Socrates in the Machine: LLMs as Interlocutors
Daniel Weissglass, Assistant Professor of Philosophy, Duke Kunshan University

Enhancing Instructor Efficiency and Productivity - Advancing Language Learning
Jinghong Bi, Senior Language Lecturer of Chinese, Chinese Language Program, NYU Shanghai
Xiaobo Shui, Senior Language Lecturer of Chinese, Chinese Language Program, NYU Shanghai

13:20 - 14:30 | E901 Parallel Session 2-A: Personalizing Learning and Feedback with GenAI

Join Session 2A: https://nyu.zoom.us/j/94009883735

In this session, we'll explore how GenAI aids instructors in customizing learning paths for diverse students and providing timely, individual feedback. Covering subjects from physics to programming, our lightning talks will feature instructor-designed GenAI systems targeting specific student needs and challenges in rigorous courses. These tools are particularly useful in large classes, where the wide range of student academic backgrounds demands extensive instructor effort to offer personalized feedback.

Panel discussion moderated by Adrian Hodge, Head of Research and Instructional Technology Services, NYU Shanghai Library

Lightning Talks:

Personalized Coding Education with Retrieval Augmented LLM
Hongyi Wen, Assistant Professor of Computer Science, NYU Shanghai

Boosting Feedback Productivity: AI-Driven Insights for Student Project Success
Nicole Wang, Assistant Professor of Practice in Interactive Media Business, NYU Shanghai

Generative AI as a Physics Tutor
Paul Stanley, Associate Dean for Undergraduate Studies, Duke Kunshan University

Enhancing Homework Autograding with AI-powered Complexity Analysis
Sven Simikin, Teaching Associate, Computer Science, Data Science, and Engineering, NYU Shanghai

13:20 - 14:30 | E904 Parallel Session 2-B: GenAI in Writing & Language Learning

Join session 2B:  https://nyu.zoom.us/s/94914369215

This session offers insights into various methods by which LLMs can support the cognitively demanding process of language learning and writing. As students increasingly engage with AI-powered tools, they require clear guidance from instructors on effectively utilizing these tools to enhance their learning. For students in linguistically diverse environments, many such tasks are cognitively demanding, requiring robust language abilities, content knowledge, and critical thinking skills. The presentations within this session employ generative AI to make language learning and writing more accessible.

Panel Discussion moderated by Marcos L. Martínez, Coordinator for Academic Resources Center, Writing Program; Clinical Associate Professor, Writing Program

Lightning Talks:

Writing with GenAI: Unlearning & Relearning
Bogna Konior, Assistant Professor of Interactive Media Arts, NYU Shanghai

Exploring GenAI for Graduate-level Academic Writing: Pedagogy, Reflection, and Research
Joseph Davies, Assistant Director for Graduate EAP Program, Duke Kunshan University
Benjamin Gutscher, Lecturer of English for Academic Purposes, Language and Culture Center, Duke Kunshan University

Essay Meets AI: Innovating Writing with Artificially Generated Images and Reflection
Jay Ludowyke, Clinical Assistant Professor, Writing Program, NYU Shanghai

14:40 - 15:30 | E901 Student Panel: Integrating GenAI into the Classroom

Join Student Panel: https://nyu.zoom.us/j/94009883735

How are students utilizing GenAI across different fields of study? What does it mean to them as learners? 

Join us for this engaging student panel to discover how our students are navigating the evolving landscape of GenAI. In this session, students from various disciplines will discuss their firsthand experiences with GenAI in their academic journeys. They will share insights on the practical applications of AI in their studies and offer their perspectives on how GenAI can be integrated into course planning for student success.

Anna Greenspan, Associate Professor of Contemporary Global Media, Global Network Associate Professor, NYU Shanghai

Panelists:

  • Mohamed Mahmoud Mohamed Hendy - Computer Science. Class of 2025
  • Celia Forster - Interactive Media Arts, Social Science (Psychology). Class of 2024
  • Dany Sigha - Computer Science. Class of 2024
  • Yelena Ye - Humanities. Class of 2027.