The Epiphany Learning Design Framework is a structured, evidence-based approach to instructional design that ensures learning is engaging, effective, and transferable.
Rooted in decades of cognitive science, learning theory, and instructional design research, this framework serves as the pedagogical foundation for AI-powered learning design.
With the rapid growth of AI-assisted education, instructional designers must leverage research-backed strategies to optimize motivation, ensure deep learning, and foster real-world knowledge application.
Epiphany, as an AI-powered copilot for instructional design, ensures that all learning experiences are scientifically optimised through its Motivate – Practice – Transfer framework.
Learning is not a passive process. It requires engagement, effortful learning, and meaningful application. Poorly designed learning experiences fail to engage learners, overload cognitive capacity, and provide little opportunity for knowledge transfer.
The Epiphany Learning Framework ensures that every AI-generated recommendation aligns with proven research to enhance motivation, deepen learning through practice, and drive meaningful application beyond the learning environment.
Motivation is the foundation of learning. Without motivation, learners struggle to engage, persist, or retain new knowledge. This pillar ensures that learning environments foster curiosity, self-efficacy, social belonging, and cognitive readiness.
Epiphany ensures that course designs include motivational elements that support learner autonomy, social connection, and curiosity-driven learning. It suggests evidence-based strategies such as relevance-based framin and curiosity-driven questioning to enhance motivation.