A Bayesian Knowledge Base is a generalization of traditional Bayesian Networks where nodes or groups of nodes have independence. In this paper we describe a method of generating a ...
Abstract. The purpose of this study is to develop subject categorization methods for educational resources using multilayer perceptron (MLP) and to examine the performance of the t...
This paper presents an agent-based educational environment to teach argument analysis (ALES). The idea is based on the Argumentation Interchange Format Ontology (AIF) using "W...
We describe a new course designed to introduce engineering students to computational thinking. One of the most significant challenges in teaching an introductory-level applied co...
At University of Southern California (USC), CSCI577ab is a graduate software engineering course that teaches best software engineering practices and allows students to apply the l...