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Kumar, Amruth N. – Journal on Educational Resources in Computing, 2004
We have been using robots in our artificial intelligence course since fall 2000. We have been using the robots for open-laboratory projects. The projects are designed to emphasize high-level knowledge-based AI algorithms. After three offerings of the course, we paused to analyze the collected data and to see if we could answer the following…
Descriptors: Artificial Intelligence, Robotics, Laboratories, College Students
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Chinn, Donald; Vandegrift, Tammy – Journal on Educational Resources in Computing, 2008
This article provides an analysis of student responses to an exercise used in a computer ethics and a software engineering course to raise awareness of issues related to hiring, including issues of professional responsibility and diversity. Students from two different universities were asked to evaluate four candidates for two positions in a…
Descriptors: Personnel Selection, Evaluation Criteria, Inferences, Ethics
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Werner, Linda L.; Hanks, Brian; McDowell, Charlie – Journal on Educational Resources in Computing, 2004
Pair-programming has been found to be very beneficial in educational settings. Students who pair in their introductory programming course are more confident, have greater course completion and pass rates, and are more likely to persist in computer-related majors. Although pairing helps all students, we believe that it is particularly beneficial…
Descriptors: Majors (Students), Females, Computers, Programming
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McKenna, Peter – Journal on Educational Resources in Computing, 2004
This paper summarizes the results of an investigation into whether women and men have different (concrete and abstract) styles of programming, and whether the standard computing curriculum is therefore biased against women. The theory underpinning the hypothesis is critically reviewed in practical programming contexts. A concrete means of testing…
Descriptors: Student Attitudes, Females, Learning Strategies, Programming