Microlearning is the practice of delivering educational content in short, tightly focused units, each covering exactly one learning objective. In video terms this typically means clips of two to six minutes, though the defining criterion is the single-objective constraint rather than a strict duration. The rationale comes from cognitive load theory: a short clip reduces the amount of new information the working memory must hold at once, making it easier to process and encode. For corporate training video, microlearning is valuable because it fits into a working day — learners can complete a unit between meetings rather than blocking out an hour. It also makes content easier to update: when a product changes, a team replaces one two-minute clip rather than re-editing a forty-minute course. The instructional design challenge is that a single objective must be genuinely self-contained; shoehorning a complex topic into a short clip by cutting context produces confusion rather than learning. Microlearning pairs naturally with spaced repetition: a learner watches a clip, returns two days later for a recall question, and then sees the concept again a week after that. From a tracking perspective, a microlearning library often uses xAPI rather than SCORM because xAPI handles collections of small assets more naturally than a manifest-driven package. The gotcha for engineers is that a high volume of short assets inflates metadata management and search indexing costs significantly.
