• Architecting Analytics Across Multiple E-learning Systems to Enhance Learning Design 

      Mangaroska, Katerina; Vesin, Boban; Kostakos, Vassilis; Brusilovsky, Peter; Giannakos, Michail (Journal article; Peer reviewed, 2021)
      With the wide expansion of distributed learning environments the way we learn became more diverse than ever. This poses an opportunity to incorporate different data sources of learning traces that can offer broader insights ...
    • Assessing cognitive performance using physiological and facial features: Generalizing across contexts 

      Sharma, Kshitij; Niforatos, Evangelos; Giannakos, Michail; Kostakos, Vassilis (Peer reviewed; Journal article, 2020)
      Sensing and machine learning advances have enabled the unobtrusive measurement of physiological responses and facial expressions so as to estimate one's cognitive performance. This often boils down to mapping the states ...
    • Fitbit for learning: Towards capturing the learning experience using wearable sensing 

      Giannakos, Michail; Sharma, Kshitij; Papavlasopoulou, Sofia; Pappas, Ilias; Kostakos, Vassilis (Journal article; Peer reviewed, 2020)
      The assessment of learning during class activities mostly relies on standardized questionnaires to evaluate the efficacy of the learning design elements. However, standardized questionnaires pose additional strain on ...
    • Information flow and cognition affect each other: Evidence from digital learning 

      Sharma, Kshitij; Mangaroska, Katerina; Berkel, Niels van; Giannakos, Michail; Kostakos, Vassilis (Journal article; Peer reviewed, 2021)
      In the context of learning systems, identifying causal relationships among information presented to the user, their behavior and cognitive effort required/exerted to understand and perform a task is key to building effective ...
    • Multimodal data as a means to understand the learning experience 

      Giannakos, Michail; Sharma, Kshitij; Pappas, Ilias; Kostakos, Vassilis; Velloso, Eduardo (Journal article; Peer reviewed, 2019)
      Most work in the design of learning technology uses click-streams as their primary data source for modelling & predicting learning behaviour. In this paper we set out to quantify what, if any, advantages do physiological ...