We present a computational framework designed to provide adaptive support aimed at triggering learning from problem-solving activities in the presence of worked-out examples. The k...
This paper reports on TaskTracer — a software system being designed to help highly multitasking knowledge workers rapidly locate, discover, and reuse past processes they used to...
Anton N. Dragunov, Thomas G. Dietterich, Kevin Joh...
Abstract— Over the years, many improvements and refinements of the backpropagation learning algorithm have been reported. In this paper, a new adaptive penalty-based learning ex...
Learning effectiveness depends on a large range of parameters. Learners’ activity has an important impact on long-term learning and comprehension of difficult concepts [1]. Coll...
We discuss two experiments in which requirements engineering techniques has been used and evaluated. In the first experiment a technique called Executable Use Cases is applied in t...