D

Data Analytics: Analysis and use of data within the learning solution to inform iterative improvements to the learning solution or learning experiences.

Data-Informed Decision-Making: The process of using learner and context data to guide design and implementation decisions.

Data Instrumentation: The process of collecting, processing, and managing data through hardware and software sensors to support learning solutions.

Design Patterns: Proven, reusable solutions to common design challenges.

Developmental Evaluation: An evaluation approach used to inform and improve innovations, particularly in complex or rapidly changing environments like learning engineering projects.

Distress: Excessive, chronic, or overwhelming stress perceived as threatening, which can impair cognitive function and memory consolidation.