Efforts to raise the bar of higher education so as to respond to dynamic societal/industry
needs have led to a number of initiatives, including artificial neural network (ANN) based …

E-learning is the most promising venture in the entire world. During the COVID-19 lockdown,
e-learning issuccessfully providing potential information to the students and researchers. In …

This paper presents the design of an assessment process and outcomes to investigate the
impact of Educational Robotics activities on students' learning. Through data analytics …

We developed an anthropomorphic multi-finger artificial hand for a fine-scale object
grasping task, sensing the grasped object's shape. The robotic hand was created using the …

We present a vision of using educational robots as smart mobile components (“things”) of
Internet-of-Things. Such robots, beside their primary mission to facilitate learning, are able to …

Educational robots can serve as smart, mobile and tangible learning objects which can
explicitly represent knowledge through actions and engage students through immersion and …

The paper introduces context-aware Generative Learning Objects (GLOs) to support wide-
scale reusability and automatic adaptability in teaching Computer Science (CS) topics. We …

In this paper, we introduce a methodology to design robot-oriented generative learning
objects (GLOs) that are, in fact, heterogeneous meta-programs to teach computer science …

While virtual learning environments (VLEs) present several advantages, such as space-time
flexibility, they are still not including proper opportunities and resources for students to …

The traditional educational paradigm has been nowadays transformed to tech-aided
personalised learning, tailored to individual learning styles and needs, applicable in any …