MLeXAI

Author:

Russell Ingrid1,Markov Zdravko2,Neller Todd3,Coleman Susan1

Affiliation:

1. University of Hartford

2. Central Connecticut State University

3. Gettysburg College

Abstract

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 closely integrated into a one-term AI course. Each project involves the development of a machine learning system in a specific application. These projects have been used in six different offerings over a three-year period at three different types of institutions. While we have presented a sample of the projects as well as limited preliminary experiences in other venues, this article presents the first assessment of our work over an extended period of three years. Results of assessment show that the projects were well received by the students. By using projects involving real-world applications we provided additional motivation for students. While illustrating core concepts, the projects introduced students to an important area in computer science, machine learning, thus motivating further study.

Funder

Division of Undergraduate Education

Publisher

Association for Computing Machinery (ACM)

Subject

Education,General Computer Science

Reference28 articles.

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2. Cormen T. H. Leiserson C. E. Rivest R. L. and Stein C. 2001. Introduction to Algorithms 2nd Ed. The MIT Press Cambridge MA. Cormen T. H. Leiserson C. E. Rivest R. L. and Stein C. 2001. Introduction to Algorithms 2nd Ed. The MIT Press Cambridge MA.

3. Robots and robotics in undergraduate AI education;Dodds Z.;AI Mag.,2006

4. Greenwald L. (ed.) 2004. Accessible hands-on artificial intelligence and robotics education. Tech. rep. AAAI Press. Greenwald L. (ed.) 2004. Accessible hands-on artificial intelligence and robotics education. Tech. rep. AAAI Press.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. SAIL-Software system for learning AI algorithms;Computer Applications in Engineering Education;2018-06-28

2. Understanding the Effects of Lecturer Intervention on Computer Science Student Behaviour;Proceedings of the 2017 ITiCSE Conference on Working Group Reports;2018-01-30

3. Integrating everyday examples in mechanical engineering courses for teaching enhancement;International Journal of Mechanical Engineering Education;2016-01

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