- A/B Testing: An experimental method used to compare two versions of a product, feature, or learning intervention to determine which performs better for users.
- Accessibility: The design practice of ensuring that learning experiences and solutions are usable by people with disabilities, often complying with guidelines like WCAG.
- Adaptive Learning: A personalized learning approach that uses technology to adjust learning experiences based on a learner’s needs, behaviors, and responses, and/or learning contexts.
- Agile Methodology: An iterative approach to project management and software development that encourages flexibility and rapid response to feedback.
- AI in Learning Engineering: The use of artificial intelligence to automate and enhance learning experiences or the learning engineering process, such as adaptive learning systems, predictive analytics, and personalized learning pathways, automated generation of learning content, or AI-enhanced feedback for optimization.
- Analytics: Analysis and use of data within the learning solution to inform iterative improvements to the learning solution or learning experiences.
- Assessment: The process of evaluating learning conditions and learner progress. It includes Formative Assessment (supporting learning during the process) and Summative Assessment (measuring achievement at the end).