Orchestrating 21st Century Learning Ecosystems using Analytics

Future Learning


Learning analytics allow instructors and researchers to discover important learning episodes and phenomena (e.g., moment of learning/misconception), get better understanding of learner characteristics/needs; and understand the features that make the learning material effective. In Future Learning we will leverage learning analytics capabilities to formulate a conceptual framework for assisting researchers and instructors in improving the orchestration of e-learning tools and practices as well as harmonizing heterogeneous learning analytics streams.

About the Future Learning project.


Associate Professor Michail Giannakos
Project Leader
Michail Giannakos


We aim to disseminate its research results to the scientific community through scientific publications at the top venues of our research area.

View Future Learning publications