What are learning analytics?

Learning Analytics (LA) are commonly defined as “the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs”. In essence, LA analyses and uses data trails produced by learners in learning environments to generate information about learners’ progress and learning patterns. Such information can further be used as a basis for prediction, intervention, personalization, and adaptation, such as suggesting learning tips or materials and redesigning curricula. I made this video to give a three-minute introduction to learning analytics.

Challenges and actions:

1.Educational systems are complex

2. Communication is key to a shared vision

3. Learning analytics cycles need to be action-oriented

Well-designed Learning analytics appeal to students particularly in aspects of personalised learning, quality feedback, and self-regulated learning. Students today come from various socio-cultural, economic, and educational backgrounds. Some students have special needs, some require language supports, some lack threshold knowledge that bridges subjects, and some may be juggling family and job responsibilities. Knowing where they stand in a learning journey and how to reach desired learning goals effectively is of the greatest interest to students.

(https://www.solaresearch.org/2021/03/learning-analytics-3-challenges-and-opportunities/)