MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
Learning Analytics can provide teachers additional insights into their students' ways of learning (e.g., strengths or weaknesses). Existing systems showed that when teachers transform these insights into actions, it can improve student outcomes or their learning experience. Some teachers are aware of Learning Analytics, but they often do not know how to transform this information into actions and how this can contribute to students outcomes and their professional development. This gap limits the current usage of these systems. And that's why we designed this MOOC!
We aim to provide teachers with information and skills on how their instruction is mapped throughout the whole Learning Analytics cycle and how they can use Learning Analytics to improve support for their current or next learner groups. The teachers will also get familiar with basic methods, including their analytics literacy, and align their work with ethics and privacy standards. Our goal is that teachers will gain knowledge that they will apply in their day-to-day work. The examples will cover mostly Higher Education with online elements; however, the learned principles can be applied by teachers across all learning contexts.
Course Content
- Week 1: Introduction to Learning Analytics
- Week 2: Data and Ethics
- Week 3: Basic Methods
- Week 4: Frameworks and Evaluation
- Week 5: Advanced methods and Future in Learning Analytics
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.