Gamification often succeeds exactly as intended. The more interesting question is what assumptions sit behind that success, and what becomes visible when learner variability and accessibility are treated as design constraints rather than exceptions.

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Gamification often succeeds exactly as intended. The more interesting question is what assumptions sit behind that success, and what becomes visible when learner variability and accessibility are treated as design constraints rather than exceptions.

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Measuring Behaviour Change in Learning: From Initial Use to Sustained Practice
Behaviour change is often treated as the clearest indicator of learning impact. Behaviour change is often treated as the clearest indicator of learning impact. Early behaviour change may reflect novelty, compliance, or temporary support rather than durable learning, yet this distinction is frequently overlooked, particularly when observed under conditions that do not persist in practice. Enduring…
Microlearning is often presented as the answer to shrinking attention spans and busy schedules. But many of the claims made about it depend on assumptions that rarely get examined. What happens when learning cannot be neatly separated into small units? What happens when learners need to connect idea
The Importance of Pre- and Post-Training Assessments
Pre‑ and post‑training assessments are often treated as simple before‑and‑after checks. Used uncritically, they offer limited insight. Designed carefully, they can support meaningful interpretation of change. These assessments are not neutral benchmarks. They are designed moments of evidence, shaped by timing, format and assumptions about what learning looks like. Baseline assessments are…
Trends and Future Directions in Learning Design
Every year brings a new set of learning design trends. Some disappear within months. Some become embedded in everyday practice. Others remain trapped in conference presentations, pilot projects, and vendor demonstrations long after the initial excitement fades. A trend is ultimately a claim about the future. It suggests that a particular way of designing, delivering, supporting, or evaluating…
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Quantitative vs Qualitative: The Wrong Distinction for Interpreting Learning Outcomes
Discussions of learning impact often position quantitative and qualitative data as opposing choices. In practice, the distinction is less about preference and more about inference. Different forms of evidence answer different questions. Understanding learning outcomes depends on recognising what each method can and cannot reasonably tell us, and how assessment design constrains…
Trends in learning design often signal what’s possible. Accessibility asks a different question: what still works under real conditions? That changes what counts as a trend.
Engagement isn’t proof. Completion isn’t proof. Compliance isn’t proof. Accessibility changes what can be claimed about learning design by testing whether it still holds under real conditions. New post now live.
Effective Data Collection Methods for Learning Programs
Much of what passes for “evidence” in learning evaluation persists not because it is strong, but because it is administratively convenient. In many organisations, evidence is selected not to inform design decisions but to satisfy assurance, compliance, or audit requirements; purposes that quietly shape what counts as “acceptable” data. These choices are not neutral; they introduce constraints…
Accessibility audits identify issues but they don’t tell you if a design actually works. Passing checks is not the same as inclusive learning. What matters is what the audit cannot show.

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Measuring the Impact of Learning Programs
Measuring learning impact is often treated as a reporting task, something done after a programme finishes to demonstrate value. In practice, it is a design problem long before it becomes an evaluation one. What can plausibly be claimed about impact depends on what was designed into the learning from the start: the questions asked, the evidence gathered, and the assumptions made about what counts…
Accessible assessment isn’t a compromise. It’s a test of validity. If outcomes change when conditions change, what was being measured in the first place?
An examination of mobile learning as a stress test for learning design, considering what mobile access reveals about assumptions, accessibility, assessment, and how learning fits into real working lives.
Much of what we call 'engaging multimedia' relies on idealised conditions that don’t hold in practice. When we design for uninterrupted attention and seamless processing, who are we leaving out?
A practitioner‑focused exploration of the technology decisions that shape learning more than any single platform choice, including assessment design, feedback patterns, accessibility, and how learning professionals exercise judgement within constraints.

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Ensuring Digital Accessibility in Learning Design
Accessibility is often framed as a moral aspiration, a legal requirement, or a technical checklist. All of these framings are incomplete. Treated this way, accessibility becomes something that can be discussed, deferred, or diluted without consequence. Learning designs continue to be judged as effective on the basis of engagement signals, assessment outcomes, or completion data that have not…
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What if impact isn’t something you measure at the end of design but something that constrains it from the start? If learning is meant to change something, this question isn’t optional.