Video & Resources

Education with GenAI Showcase: Opening & Keynote


Speaker: Professor Mark Warschauer

Title: "AI in Global Education: Grabbing the Bull by the Horns"

Abstract: Generative AI is one of the most powerful technologies of communication that the world has yet seen—but also one of the most dangerous if not used well. This presentation will discuss why AI literacy is needed in global education and introduce some approaches for teaching it.

Session 1A: Supporting Student Creativity & Design with GenAI

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. 

Lightning Talks:

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

          Video           Slides              Handout              

2. 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

          Video           Slides               Handout

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

         Video           Slides               Handout

4. 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 

         Video           Slides               Handout              MidJourney Guide

Session 1B: Designing Teaching & Learning with GenAI

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.

Lightning Talks:

1. 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

         Video           Slides               Handout

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

         Video           Slides               Handout

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

         Video           Slides               Handout

4. 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

         Video           Slides               Handout

Session 2A: Personalizing Learning and Feedback with GenAI

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.

Lightning Talks:

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

         Video            Slides               

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

         Video            Slides              

3Generative AI as a Physics Tutor
Paul Stanley, Associate Dean for Undergraduate Studies, Duke Kunshan University

         Video            Slides           

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

         Video            Slides               Handout

Session 2B: GenAI in Writing & Language Learning

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.

Lightning Talks:

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

         Video                         

2. 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

         Video           Slides               GenAI Cover Sheet

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

         Video           Slides               Handout