  One fundamental goal of learning is preparation for future learning (PFL) and
being able to extend acquired skills and problem-solving strategies to
different domains and environments. While substantial research has shown that
PFL can be accelerated by obtaining metacognitive skills or influenced by the
individual's motivation, no prior work investigated whether the interaction of
the two factors could assess students' competency for PFL. In this chapter, we
tackle this research question in one type of highly interactive e-learning
environment, intelligent tutoring systems. More specifically, we investigate
whether the combination of metacognitive skills and motivation would assess
students' learning abilities in logic, and their competence to extend these
abilities to a subsequent domain, probability.
