Susan Coleman

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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 can be(More)
It is generally recognized that an undergraduate introductory Artificial Intelligence course is challenging to teach. This is, in part, due to the diverse and seemingly disconnected core topics that are typically covered. The paper presents work funded by the National Science Foundation to address this problem and to enhance the student learning experience(More)
This paper presents work on a collaborative project funded by the National Science Foundation that incorporates machine learning as a unifying theme to teach fundamental concepts typically covered in the introductory Artificial Intelligence courses. The project involves the development of an adaptable framework for the presentation of core AI topics. This(More)
The goal of Project MLeXAI, Machine Learning Experiences in Artificial Intelligence, is to develop a project-based framework for teaching core AI topics with a unifying theme of machine learning. In this paper, we provide an overview of Project MLeXAI and the curricular material being developed. We present experiences during the second phase of the project(More)
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