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Self-Confidence of Undergraduate Students in Designing Software Architecture

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Conference

2022 ASEE Annual Conference & Exposition

Location

Minneapolis, MN

Publication Date

August 23, 2022

Start Date

June 26, 2022

End Date

June 29, 2022

Page Count

17

DOI

10.18260/1-2--41877

Permanent URL

https://peer.asee.org/41877

Download Count

210

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Paper Authors

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Ameerah Muhsinah Iowa State University of Science and Technology

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Lotfi Ben University of North Texas

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Dr. Lotfi ben Othmane is an Associate Clinical Professor at University of North Texas. Previously, he was the Head of the Secure Software Engineering department at Fraunhofer Secure Information Technology, Germany and then an Assistant Teaching Professor at Iowa State University, Ames, Iowa. Lotfi has twenty five years of experience covering various roles in academia and industry. He uses his experience in contributing to developing secure software to connect the research in academia to the practices in the industry.

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Abstract

Software architecture students, often, lack self-confidence in their ability to use their knowledge to design software architectures. This paper investigates the relations between undergraduate software architecture students’ self-confidence and their course expectations, cognitive levels, preferred learning methods, and critical thinking. We developed a questionnaire with open-ended questions to assess the self-confidence levels and related factors, which was taken by one-hundred ten students in two semesters. The students answers were coded and analyzed afterward. We found that self-confidence is weakly associated with the students’ critical thinking and independent from their cognitive levels, preferred learning methods, and expectations from the course. The results suggest that to improve the self-confidence of the students, the instructors should work on improving the students’ critical thinking capabilities.

Muhsinah, A., & Ben, L. (2022, August), Self-Confidence of Undergraduate Students in Designing Software Architecture Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--41877

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