Round Corner
Department of Computer and Information Science


Analytics coming from learner-computer interaction: Multimodal Learning Analytics

Mainstream analytics coming from learning systems (i.e., Learning Analytics) often rely on data from digital learning environments such as keystrokes, log files and clicks to interpret the interaction between the learner and the machine.

Recent technological developments and data science advancements have boosted the growth of non-invasive high-frequency multimodal data collections. For instance, 2D and 3D cameras, wearable sensors, biosensors, infrared imaging, eye tracking and other IoT devices, all offer the opportunity to enhance the way we collect and analyze learner data to achieve a deeper understanding of the interaction between humans and learning technologies.

The proposed project will be conducted in the Learner-Computer Interaction lab ( and focus on gathering empirical evidence of ​​how multimodal data can enhance learning technologies.


Michail Giannakos Michail Giannakos
Associate Professor
103 IT-bygget
735 90731 
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