Machine learning and digital health sensing data have led to numerous research
achievements aimed at improving digital health technology. However, using machine …

Multimodal Learning Analytics (MMLA) innovations make use of rapidly evolving sensing
and artificial intelligence algorithms to collect rich data about learning activities that unfold in …

In recent years, there has been a growing interest in creating multimodal learning analytics
(LA) systems that automatically analyse students' states that are hard to see with the" naked …

ABSTRACT Background and Context Current programming learning research often
compares novices and experienced programmers, leaving early learning stages and …

Learning to program is a challenging process, known to instill a range of thoughts and
feelings among learners. In particular, debugging is known to evoke emotional reactions in …

Emotions are a complex multi-faceted phenomenon. To assess the complexity of emotions
from different facets, multi-modal approaches are necessary. However, multi-modal …

Several signals can be collected from wearable devices containing important physiological
and psychological information. Understanding various physiological signals is significant for …

Design thinking (DT) and computational activities foster children's knowledge capital for 21st-
century literacies. The analysis of these activities often overlooks affective and behavioural …

For novice students, learning programming is hard, hence, inducing a variety of emotions.
According to literature, two of the most commonly occurring emotions that students …

Electrodermal Activity (EDA) provides insights into the Sympathetic Nervous System (SNS)
activation, primarily responsible for “fight-or-flight” response, including stress. Stress, in turn …