- Personalization: Customizing learning experiences to address the unique needs, preferences, and interests of each learner. Personalization is a key goal of learning engineering.
- Persona Development: The creation of fictional profiles representing archetypal users to guide the design of learning solutions. Personas help learning engineers keep the needs and motivations of different types of learners in mind.
- 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.