New generations are using and playing with mobile and computer applications extensively. These applications are the outcomes of programming work that involves skills, such as computational and algorithmic thinking. Learning programming is not easy for students children. In recent years, academic institutions like the Massachusetts Institute of…

Teaching larger software engineering project courses at the end of a computing curriculum is a way for students to learn some aspects of real-world jobs in industry. Such courses, often referred to as capstone courses, are effective for learning how to apply the skills they have acquired in, for example, design, test, and configuration management.…

Our approach to teaching introductory artificial intelligence (AI) unifies its diverse core topics through a theme of machine learning, and emphasizes how AI relates more broadly with computer science. Our work, funded by a grant from the National Science Foundation, involves the development, implementation, and testing of a suite of projects that…

Training professionals to design and produce interactive systems requires the use of well thought-out training scenarios. Indeed, it is essential to consider pedagogical forms whose objective is providing learners with field experience. It is also necessary to motivate learners to learn about subjects that sometimes seem distant from their…

Project MLeXAI [Machine Learning eXperiences in Artificial Intelligence (AI)] seeks to build a set of reusable course curriculum and hands on laboratory projects for the artificial intelligence classroom. In this article, we describe two game-based projects from the second phase of project MLeXAI: Robot Defense--a simple real-time strategy game…