Seminar on “Global Perspectives on Collaborative Generative AI Pedagogies: Real-World Use Cases from K12 to University”
Date
5 June 2025 (Thursday)
Time
15:00 to 17:00
Location
Online via Zoom
Language
English
Registration (EdUHK Members)
For EdUHK staff and postgraduate students:
Registration (Non-EdUHK Members)
For guests and visitors from outside:
Abstract
In this Zoom Workshop, we’ll explore the transformative potential of generative AI in education through real-world examples from diverse global contexts and from K12 to University. Join educators from the Philippines, China, Turkey and Canada as they share innovative collaborative AI pedagogical approaches supported by EdUHK’s homegrown collaborative AI platform, YoChatGPT! to enhance learning and teaching. This workshop will provide practical insights and inspire new ways to integrate generative AI into your educational practice.
Global Speakers
Speaker 1
Topic: Harnessing Collaborative Generative AI for Data Analysis Learning: A Philippine Case Study on YoChatGPT Integration
Jay R San Pedro
Director,
Office of Research & Development,
iACADEMY
Abstract
This plenary session explores the potential of collaborative generative AI in higher education through a Philippine case study on the integration of YoChatGPT into data analysis learning environments. Drawing on classroom implementations within a Philippine private learning institution, the case study highlights strategies for responsible AI integration, student engagement outcomes, and the development of critical thinking in data analysis. The session discusses potential pedagogical frameworks, ethical considerations, and the socio-cultural relevance of customizing generative AI to support collaborative, inclusive, and context-sensitive education. Recommendations for educators and policymakers are provided, emphasizing the role of generative AI in bridging digital divides and advancing educational equity in the Global South.
Speaker 2
Topic: Guiding the Generation: Helping Students Develop Better LLM Prompts
Brandon Castejon
Lecturer of English Language,
Duke Kunshan University,
China
Abstract
The key to using Large Language Models effectively is creating and adjusting prompts to produce appropriate output for a given task. This presentation examines graduate students’ prompting strategies using YoChatGPT for two tasks completed during an English for Academic Purposes course. The first task was to enhance a presentation title, and the second was to develop an outline for the same presentation. These tasks emphasized analyzing output and adjusting prompts based on these considerations to generate more useful output. This presentation highlights issues students faced when developing prompts, how they were addressed, and the implications for teaching students prompt development strategies.
Speaker 3
Topic: Integrating a Chatbot Application (YoChatGPT) into Different Subject Areas in Education
İdiye Ökten
Head of Information Technologies Department,
Anabilim Educational Institutions,
Turkey
Abstract
This work aims to explore the integration of the YOCHATGPT application into various teaching processes for 6th-grade students and to evaluate the outcomes of its use. Through artificial intelligence-supported learning, it is intended to enhance students’ digital literacy, problem-solving, collaboration, and critical thinking skills. Activities include historical research and inquiry on Mete Han in Social Studies, C programming algorithm development and debugging for the Computer Olympiad Team, and general exam revision with scenario-based questions in Information Technologies.
Speaker 4
Topic: Collaborative Exploration of Generative AI for Personalized Learning and Problem Solving
Dr. Christopher Chlebovec
Assistant Professor,
Department of Mathematical Sciences,
Lakehead University,
Canada
Abstract
How can generative AI move beyond novelty and become a meaningful tool for student engagement and deeper understanding? This session shares real-world classroom experiences in which students and instructor collaboratively explored generative AI to foster personalized learning and problem solving. Through a structured framework, students were encouraged to connect course concepts to their individual interests, co-create custom problems, and use AI as a dynamic review partner. The talk will highlight practical strategies, showcase student-generated examples, and discuss challenges such as fostering participation and navigating new classroom dynamics. Attendees will gain insights for implementing collaborative, student-centered AI activities in their own teaching, and see how generative AI can empower learners to take ownership of their educational journey.