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Persona Development: The creation of fictional profiles representing archetypal users based on research to guide the design of learning solutions.
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Personalization: Customizing learning experiences to address the unique needs, preferences, and interests of each learner.
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Predictive Analytics: The use of historical data, machine learning, and statistical models to predict future outcomes, such as identifying learners at risk of falling behind.
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Prototype: A preliminary model or sample of a product, system, or concept built to test and validate ideas before full-scale production.
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Psychometrics: The application of principles of measurement to ensure that assessments are reliable and valid.