This study analyzes the machine learning and deep models that were used to forecast satisfaction effect of classics reading classes. The following main findings comparison their predictive abilities. First, traditional regression model is somewhat low in coefficient determinant. Second, decision tree predicts classes better than model. Third, when we predict effects lessons, support vector show...

AIspace is a project that has been providing interactive tools for teaching and learning basic concepts in Artificial Intelligence for several years. In this paper we give an overview of the history and current state of the project. We introduce new functionality which has been added to the tools and allows them to be customized for various applications such as presentations, online tutorials, ...

Over the last four decades, machine learning's primary interest has been single agent learning. In general, single agent learning involves improving the performance or increasing the knowledge of a single agent [5]. An improvement in performance or an increase in knowledge allows the agent to solve past problems with better quality or efficiency. An increase in knowledge may also allow the agen...

The growth of e-learning, and subsequently, of blended learning in recent years in response to the global demand for increased productivity in education and training has been astounding! While the commercial response, including that of universities, to this rapid increase in demand and to the associated potential of communications technologies to provide global access has been impressive, signi...

This paper presents the experience of a university research group that has successfully deployed an application of its artificial intelligence research. It identifies some of the factors that have contributed to this success, and proposes a framework for future deployment activities that are consistent with the mission of a research university.

The promise of computer-aided instruction (CAI) has always been individualized instruction: providing a learner with an environment that is tailored to his or her learning needs and goals. Although there have been notable successes (e.g., see Larkin et al. [9]), the architecture of CAI systems has been inadequate to provide robust and rich learning environments. Starting in the early 1970s, res...