Learning & Affect Technologies Engineering (LATTE)

At Latte we research and develop systems that learn and help people learn.

We are developing digital learning and collaborative applications that use machine learning algorithms to improve the user experience or produce innovative functionalities.

Key areas

Educational technology, eLearning, computer-supported collaborative work and learning, affective computing, positive computing, bio-sensors, emotion research, text mining, cloud computing, automated writing support.

Our current work includes:

• Text mining functionalities to support collaborative learning
• Affective computing
• Social network analysis
• Computer supported collaborative work and learning
• Physiological (EEG/EKG/EMG) signal processing using machine learning algorithms

Videos