A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...
Tutorial dialogue has been the subject of increasing attention in recent years, and it has become evident that empirical studies of humanhuman tutorial dialogue can contribute impo...
Kristy Elizabeth Boyer, Mladen A. Vouk, James C. L...
Due to its importance as a model for several software and hardware applications, automata theory is a core topic in computer science and engineering education. But because of its m...
A commonly encountered view of computer conferencing focuses on peer interaction, student empowerment and a shift in both teacher and student roles. This paper argues that this vi...
Ann C. Jones, Eileen Scanlon, Canan Tosunoglu Blak...
We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...
Matthew T. Karnick, Michael Muhlbaier, Robi Polika...