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IB DP Psychology — Cognitive Approach | SL & HL | Paper 1
🎯 Learning Intentions By the end of this note, you will be able to:
- Define cognitive load, multitasking, and digital distraction using IB-aligned terminology.
- Explain how technology use affects attention, memory encoding, and learning outcomes.
- Describe the role of divided attention and working memory capacity in technology-mediated learning environments.
- Evaluate research evidence for the effects of technology on cognition using supporting and opposing studies in ACAS format.
- Apply concepts of cognitive load and distraction to a real-world case study from the cognitive perspective.
- Discuss the extent to which technology use impairs or enhances learning and cognitive performance.
- Analyse research on technology and learning using relevant concept areas: Bias, Causality, Measurement, and Perspective.
Introduction & Context
Picture a university lecture hall. Half the students have laptops open, some are taking notes, but many have social media feeds, messaging apps, and news articles running alongside their notes. Others have their phones face-up on the desk, glancing down every few minutes. On the surface, this looks like modern, connected learning. But what is actually happening inside the minds of those students? Are they learning more effectively because they have instant access to information, or is something more disruptive occurring?
This question sits at the heart of one of the most debated topics in contemporary cognitive psychology. Technology has transformed almost every aspect of how people access, process, and store information. Smartphones, laptops, social media platforms, and streaming services are now constant companions in educational settings. Whether these tools enhance or undermine learning is not simply a matter of opinion — it is an empirical question that cognitive psychologists have been investigating with increasing urgency over the past two decades.
To understand the psychological effects of technology on learning, we need to look closely at how the human mind processes information. The cognitive system has real limits — particularly in how much information it can hold and manipulate at any one time. When technology introduces competing demands on that limited system, the consequences for learning can be significant. Understanding those consequences requires us to examine concepts like cognitive load, attention, and the nature of multitasking.
🔌 Analogy — The Overloaded Power Strip Imagine your working memory as a power strip with only four sockets. Each task you perform — reading a text, listening to a lecture, watching a notification pop up — plugs into one of those sockets. When all four sockets are in use, adding another device does not give you more power; it trips the circuit. Technology in learning environments often works exactly this way: it adds more devices to a system that was already running at capacity, and the result is not enhanced performance — it is a system failure.
Core Concepts
Before we can evaluate what technology does to learning, we need to understand how learning itself works at a cognitive level. Learning is not simply a matter of being exposed to information — it requires that information to be actively processed, held in working memory, and eventually encoded into long-term memory. This process depends heavily on the availability of attentional resources. When those resources are divided or depleted, the quality of encoding suffers.
📖 Key Definition — Cognitive Load Cognitive load refers to the total amount of mental effort being used in working memory at any given time. It is typically divided into three types: intrinsic load (the inherent complexity of the