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Student Learning and Confidence in a Technology Management Graduate Statistics Course

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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

Conference Session

ETD Technical Session 8 - ET Pedagogy II

Page Count

7

DOI

10.18260/1-2--40732

Permanent URL

https://peer.asee.org/40732

Download Count

207

Paper Authors

biography

James Kribs North Carolina Agricultural and Technical State University

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James Kribs received his PhD in Mechanical Engineering from North Carolina State University in 2013. He is an Assistant Professor in the Applied Engineering Technology department at North Carolina A&T State University, where he teaches courses in Automotive Engineering Technology. He is a member of the American Society of Engineering Education, the American Society of Mechanical Engineers, and the Combustion Institute.

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Abstract

As part of advanced courses, such as graduate programs, students could assume a higher level of confidence in their skills and abilities, beyond their actual skill levels in the topic areas that the students are studying. In a graduate technology management course were asked to take a series of assessments on their understanding of course material, including definitions of major statistical terms and comprehension questions on statistical rules. These assessments also asked students to rate their level of confidence in the areas covered in statistics. The scores resulting from the assessments were compared to the student’s confidence levels in the course material, showing a statistically significant increase in student assessment scores (52% increase), with a matching increase to their confidence level (42% increase). These results point to a comparable increase of confidence to skill level, possibly due to the various types of assignments used in the course.

Kribs, J. (2022, August), Student Learning and Confidence in a Technology Management Graduate Statistics Course Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--40732

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