About the course
Welcome to the self-paced learning material about monitoring, supporting, and engaging students according to the evidence generated by digital technologies. This course is aimed at teachers in f-2-f and online contexts.
This material provides guidelines and recommendations on how teachers can design a course to generate data about learners’ behaviour and engagement with the learning content. Data-informed decision-making can improve teaching and learning and the redesign of new courses.
This learning material aims at empowering teachers in the use of learning analytics as evidence for data-informed decisions in learning design and course delivery facilitation. The multiple best practices and examples presented in the material provides different strategies and perspectives of implementation.
At the end of this self-training, you will familiarise yourself with what tools to use, what assessment strategies to adopt and what learning resources and/or activities to design to foster learners’ engagement.
Most of what you will learn is explained with reference to Moodle, but apply to other LMSs that provide similar features.
Make sure that you check the glossary to read the definitions of most relevant terms on the topic.
Also look at the Conceptual introduction document to find out more about the main concepts of the course. Optionally, you may watch a webinar (minute 4 to 36) on learning analytics and engagement presented at the 2022 European Online and Distance Learning Week (EODLW).
30 hours Self-paced Free
Please use this map to learn about the course structure and decide if you would like to study the whole course or just separate topics.
Before starting the course, please, self-assess your knowledge about monitoring and analysing digital evidence.