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Learning Analytics: The measurement, collection, analysis, and reporting of data about learners and their contexts to optimize learning environments and improve learning outcomes.
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Learning Engineering: A process and practice that applies the learning sciences using human-centered and engineering design methodologies and data-informed decision-making to support learners and their development.
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Learning Experience Design (LXD): The process of creating meaningful, learner-centered experiences that align with educational objectives and consider learner engagement, motivation, and satisfaction.
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Learning Record Store (LRS): A software system that stores learning records (often xAPI statements); it can be a Noisy LRS (raw data), a Transactional LRS (refined/filtered data) or Authoritative LRS (record of truth such as assertions about learner mastery).
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Long-Term Memory: The memory system that stores information indefinitely with a large capacity, retaining knowledge, skills, and experiences over time. (Daniel Kahneman’s work suggests human long-term memory is a vast, associative network of stored patterns and emotional valences that enables System 1 thinking to generate effortless recall and intuitions.)