This knowledge area covers areas of knowledge or expertise that might be needed by someone playing a learning analytics role on a learning engineering team. It includes predictive modeling, inference modeling, and data mining using algorithmic and machine learning (ML) techniques.
Learning analytics in learning engineering involves the analysis of data related to learners and learning contexts. Learning analytics enables learning engineering teams and the stakeholders they serve to make informed decisions that can improve learning outcomes, personalize learning experiences, enhance learner engagement, and better understand how people learn in various contexts. It includes methods supporting data-informed decision-making to optimize learning experiences and conditions that lead to learning.
Topics informed by Baker, R.S. (2024) Big Data and Education. 8th Edition. Philadelphia, PA: University of Pennsylvania.