Workshop 03 – The AI Integration Framework: A Design-Based Workshop for Educators
Tracks
Track 3
| Monday, July 6, 2026 |
| 8:30 AM - 12:00 PM |
Details
Facilitators
Misty So-Sum Wai-Cook,
Assoc Prof Lynette Tan
& Assoc Prof Nina Powell,
National University of Singapore
Aim
This workshop equips educators with a practical framework for making smart choices about when and how to use Artificial Intelligence (AI) as a catalyst for deeper learning. Drawing on diverse disciplinary perspectives, participants will explore strategies for using AI to enhance, not replace, human critical thinking. By the end of this session, participants will have designed a draft AI-enhanced learning activity for their own context, grounded in sound pedagogical principles.
Focus
This workshop focuses on the application of pedagogical strategy. We will apply principles of constructive alignment to purposefully integrate AI into learning activities and authentic assessments to achieve the intended learning outcomes across different disciplines (Stokkink, 2025). We will discuss possible ways to design authentic assessments (Salinas-Navarro et al., 2024) and develop rubrics to evaluate students’ process of learning using AI—such as prompt design, and critical evaluation of outputs—thereby rewarding the uniquely human skills of creativity and judgment (Chan and Colloton, 2024).
Overview
This workshop is intended for university educators and academic staff from all disciplines who wish to proactively design meaningful, AI-integrated learning experiences. As AI becomes embedded in education, we must equip students to engage with it critically. This workshop draws on foundational pedagogical principles like constructive alignment, critical digital pedagogy, and ethical AI frameworks to highlight a proactive, human-centred approach to teaching with AI tools.
Workshop plan
The session is structured as a hands-on design sprint. After brief inspirational presentations from diverse disciplines, participants will engage in a structured group activity to design an AI-enhanced learning task and corresponding rubric for their own course. The workshop culminates in peer feedback and the development of a personal action plan for implementation, ensuring participants leave with a tangible output.