7A – Human Judgement, AI Support: Rethinking Competency Based Learning Design at NYP
Abstract:
Competency-Based Learning (CBL) is a pedagogy that is integral to designing industry-relevant and future-focused
programmes. However, translating competency frameworks—such as Singapore’s SkillsFuture—into coherent curricula
remains complex and resource-intensive. This session showcases how Nanyang Polytechnic (NYP) addresses this
challenge through an AI-supported curriculum design approach that enhances, rather than replaces, educator judgement.
Participants will gain insights into how AI can systematically support the alignment of competencies with learning
outcomes, assessments, and learning activities, while ensuring coherence with national frameworks and institutional
criteria. Drawing on NYP’s practical experience, the session will illustrate how the tool is embedded within academic
workflows to improve design efficiency, consistency, and quality—without diluting educator agency or professional
expertise. Importantly, the session will highlight principles for responsible, human-centred AI adoption, emphasising
ethical considerations, contextual decision-making, and sustained educator ownership. For institutions seeking to design
and deliver innovative, workforce-relevant curricula, this presentation offers actionable strategies to leverage AI
meaningfully—strengthening programme design while keeping educators at the core of the learning experience.
Learning objectives:
1. Explain how AI can be used to augment (not replace) educator judgement in competency-based curriculum
design, with educators retaining decision-making control throughout the process.
2. Illustrate how an AI-supported curriculum design tool can be aligned to national frameworks and institutional
criteria, drawing on practical insights from NYP’s hands-on experience. A
3. Apply key principles for responsible, human-centred AI adoption that participants can adapt and implement within
their own institutional curriculum design contexts.
Target audience:
Teaching and learning leaders, heads of curriculum, faculty leads, and curriculum innovators interested in how AI can
support competency-based curriculum design.