Human performance, error and teamwork
Why capable professionals make errors, and how good system and team design prevents them — situational awareness, workload, fatigue, communication and threat & error management.
Master the core concepts of aviation human factors through guided AI tutoring, worked examples and scenario-based practice.
Syllabus
Course chapters
Chapter 1: Human Factors in Aviation: Why Capable People Err
This chapter frames the discipline: what human factors is, which documents actually govern it, and how the SHELL model organises thinking about the interfaces between people and everything they work with. It establishes the founding truth of the field — that error is a normal product of human performance, shaped by conditions — and it deals honestly with the accident statistic every human factors course quotes and almost every one gets wrong.
Chapter 2: Human Information Processing: Perception, Attention and Memory
To predict where humans err, you need a working model of how humans process information. This chapter walks the pipeline — sensation, perception, attention, memory, response — and at each stage identifies the limitations that produce classic aviation failures: misperception and illusion, attentional tunnelling, forgotten intentions, capacity overload. Understanding the machinery is what makes the countermeasures of later chapters rational rather than ritual.
Chapter 3: Error in Practice: Mechanisms, Conditions and Management
This chapter turns the theory of error into working knowledge: the taxonomy of slips, lapses and mistakes; the conditions that multiply error; and the three-layer strategy of error management — reduce the conditions, capture the error before it has effect, and mitigate the consequences that get through. It closes with personal error hygiene: what a professional actually does about their own errors.
Chapter 4: Situation Awareness, Startle and Decision Making
Situation awareness — knowing what is going on, what it means and what happens next — is the platform on which every operational decision stands. This chapter presents the three-level model and, unusually, what that model does not claim; the patterns by which awareness is lost and regained; the mechanisms of decision making; the biases that distort it; and startle and surprise, which are two different things and have been mandated CRM content in Europe since 2015.
Chapter 5: Workload, Stress and Fatigue
Performance is not a constant; it is a function of the state of the performer. This chapter covers the arousal–performance relationship and what the evidence actually supports, workload as a demand–capacity balance, acute and chronic stress, mental health and peer support, and fatigue — aviation’s most pervasive performance hazard — including its deceptive symptoms and the shared responsibility for managing it.
Chapter 6: Communication, Teamwork and CRM Behaviours
Aviation is a team activity conducted through language, and its communication failures have caused some of history’s worst accidents. This chapter covers where CRM came from and where it has gone, the mechanics of effective operational communication, the barriers that corrupt it, and the team behaviours of crew resource management: leadership and followership, the graded challenge, and conflict repair.
Chapter 7: Threat and Error Management
Everything in the six preceding chapters explains why competent professionals fail. This chapter is the toolbelt built from that knowledge. Threat and Error Management is the working framework that turns human factors from an explanation into a discipline you can apply on a specific day, to a specific operation, before it goes wrong.
Chapter 8: Designing for Humans: Automation, Procedures and Organisations
The most durable safety improvements do not come from asking people to try harder. They come from changing the conditions people work in — the equipment, the interface, the automation, the procedure, the checklist and the organisation behind all four. This chapter is about the leverage that sits above the individual, and about the professional's part in using it.
Each lesson ends with a knowledge check. Every subject finishes with its own final assessment of multiple-choice and scenario-based questions, with full rationales and a 70% pass mark.
All tutoring is grounded in Zino Aviation’s own Aviation Human Factors material — the AI tutor won’t invent regulations or figures that aren’t in your source.