Using data to understand learning and improve education has great promise. However, the
promise will not be achieved simply by AI and Machine Learning researchers develo** …

There is abundant research on the use of concept maps in education. However, the most
notable efforts have focused on learning outcomes as a consequence of individually …

How can instructors group students into teams that interact and learn effectively together?
One strand of research advocates for grou** students into teams with" good" compositions …

Forming work teams involves matching people with complementary skills and personalities,
but requires obtaining such data a priori. We introduce team dating, where people interact …

Explainable Artificial Intelligence (XAI) is an emerging topic in Machine Learning (ML) that
aims to give humans visibility into how AI systems make decisions. XAI is increasingly …

Conversational agents can deepen reasoning and encourage students to build on others'
knowledge in collaborative learning. Embedding agents in group work, however, presents …

Abstract Concept map** facilitates the externalisation and internalisation of knowledge by
individuals during collaborative knowledge construction. However, not much is known about …

Script based support for collaborative learning may employ either explicit or implicit
scaffolding. If the effect of script based support is mainly by means of its effect on …

In this work we investigate how role-based behavior profiles of a Wikipedia editor,
considered against the backdrop of roles taken up by other editors in discussions, predict …

Abstract Prior research in Team-Based Massive Open Online Project courses (TB-MOOPs)
has demonstrated both the importance of effective group composition and the potential for …