Science of learning

An understanding of how we learn should be at centre of all teaching and learning.

The science of learning draws on research from cognitive psychology, neuroscience and education to understand the processes through which we learn. While there is a focus on the cognitive processes involved in learning, the science of learning also recognises that cognition is affected by affective, emotional and contextual factors.

As learning is a central pursuit of the education system, it is essential that educators understand the principles behind how we learn and the practical application and enactment of these in the classroom.  

While the scientific understanding of how we learn is continuously evolving, there is a strong evidence-base behind the key processes and principles of cognition. There also is a growing research-base focused on the impact of particular pedagogies and practices in the school context (as opposed to just a laboratory context). 

  • Activating existing knowledge: A new concept is always learned in association with already existing knowledge. The amount of existing knowledge and level to which it is interconnected influence the quality of learning (more interconnected knowledge leads to easier and faster learning). 
  • Cognitive load: all new information must be processed in the working memory before it is processed to long-term memory. Our working memory has limited capacity, and therefore if tasks are too cognitively demanding or if confronted with too much new information at once, learning is impeded. 
  • Practice is essential to learning: students need to practice retrieving information from their long-term memories to use in a new situation or context. Practicing a particular skill or retrieving particular information is more effective when spread over time, rather than repeated sequentially over a short time period. 
  • Effective feedback is essential to the learning process. 
  • Affective learning skills are essential: students’ sense of self-belief about their ability to learn, that is, believing that intelligence is mutable, greatly impacts their achievement. Furthermore, so-called non-cognitive skills such as self-regulation and motivation are essential to successful learning. 

  • Do I fully understand how cognition works? 
  • How do I ensure I active students’ prior knowledge when introducing a new topic or skill? 
  • Do I build practice into my lesson sequence? 
  • Is the feedback I provide my students specific, task-focused and focused on improvement? 
  • How do I feed into my students’ self-beliefs about their intelligence? 

Unpacking the science of learning

This webinar with Dr Stephanie Macmahon will offer educators the opportunity to build a richer, deeper, and more nuanced understanding of the science of learning—one that both extends beyond and strengthens the ideas they may already be familiar with.

Thinking about thinking: How teaching metacognition turns struggle into strategy

Coming in May 2026

This webinar with Associate Professor Melissa Barnes from La Trobe University will examine the research behind metacognition and discuss why it has such a powerful impact on learning outcomes.

How do people learn mathematics? Insights from the science of learning

Dr Tanya Evans from the University of Auckland talks about how the decades of cognitive research can be applied to teaching mathematics in the classroom

An introduction to the science of learning

Dr Nina Hood and Dr Stephanie MacMahon introduce the science of learning, exploring what it means, the research base it draws on, and its implications for curriculum and pedagogy in school

An introduction to Cognitive Load Theory

Dr Greg Ashman explores what cognitive load theory is and its practical implications for teachers.

Making learning stick with retrieval practice

Kate Jones tells us about how to make learning stick, focusing on the benefits of retrieval practice and practical ideas for teachers to ensure classroom practice is based on relevant research evidence

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