Deep Learning (DL) is a subfield of machine learning that significantly impacts extracting
new knowledge. By using DL, the extraction of advanced data representations and …

This paper constitutes a literature review on student modeling for the last decade. The
review aims at answering three basic questions on student modeling: what to model, how …

Over the last few years there has been rapid research growth into eXplainable Artificial
Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers for …

Early in 2005, Phil Harris, Executive Director of the Association of Educational
Communications and Technology, approached Mike Spector and asked if he would like to …

Adaptive hypermedia is a relatively new direction of research on the crossroads of
hypermedia and user modeling. Adaptive hypermedia systems build a model of the goals …

Advancements in information and communication technology, and online web users have
given attention to the virtual representation of each user, which is crucial for effective service …

With the effects of climate change such as increasing heat, higher rainfall, and more
recurrent extreme weather events including storms and floods, a unique approach to …

With recent advances in mobile learning (m-learning), it is becoming possible for learning
activities to occur everywhere. The learner model presented in our earlier work was …

Introduction................................. 434Concepts.................................... 434Functions: Supporting
System Use............... 435Taking Over Parts of Routine Tasks............... 435Adapting the …

As crowdsourced user-generated content becomes an important source of data for
organizations, a pressing question is how to ensure that data contributed by ordinary people …