What are "learning analytics"?

Learning analytics refers to the collection and analysis of data related to learners and their behaviors, performance, and interactions within an educational or training context. It involves using data-driven insights to better understand how learners engage with learning materials and activities, identify patterns and trends in their performance, and ultimately improve instructional design. By examining these insights, instructional designers can tailor educational experiences to meet the specific needs of learners, optimize resource allocation, and improve overall learning outcomes. This approach enables a more personalized learning experience, as it allows educators to adapt content and strategies based on actual learner data.

The other choices, while related to instructional practices, do not encapsulate the comprehensive nature of learning analytics. For instance, creating engaging teaching materials is important, but it does not involve the data analysis aspect. Evaluating training programs is a separate process focused on overall effectiveness rather than real-time insights into learner behavior. Delivering feedback is crucial for learner development but is a component of instructional practice rather than a comprehensive analysis of learner data.