Open Access. Powered by Scholars. Published by Universities.®

Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Engineering Education

School of Engineering Education Faculty Publications

Student outcomes

Publication Year

Articles 1 - 2 of 2

Full-Text Articles in Engineering

Self-Efficacy As A Long-Term Outcome Of A General Education Course On Digital Technologies, Renata A. Revelo, Christopher Schmitz, Duyen Le, Michael C. Loui Aug 2016

Self-Efficacy As A Long-Term Outcome Of A General Education Course On Digital Technologies, Renata A. Revelo, Christopher Schmitz, Duyen Le, Michael C. Loui

School of Engineering Education Faculty Publications

This study investigates the long-term outcomes of a general education course on digital technologies. Through cross-sectional and longitudinal interviews with students, the authors find that self-efficacy is a long-term student outcome. The primary sources of self-efficacy in the course for students were verbal persuasion and mastery experience. Faculty and teaching assistants were key sources for verbal persuasion. Some students experienced a success paradox: they felt successful in the course even though they failed to meet all of their initial expectations. This study can guide faculty in designing a course to promote student self-efficacy.


Optimizing Student Team Skill Development Using Evidence-Based Strategies—Nsf Award 1431694, Matthew Ohland, Misty Loughry, David J. Woehr, Richard Layton, Daniel Ferguson Jun 2015

Optimizing Student Team Skill Development Using Evidence-Based Strategies—Nsf Award 1431694, Matthew Ohland, Misty Loughry, David J. Woehr, Richard Layton, Daniel Ferguson

School of Engineering Education Faculty Publications

Optimizing Student Team Skill Development using Evidence‐Based Strategies NSF Award 1431694 The broad goal of this work is to study the effectiveness of various teamwork training interventions. This research requires the use of a common model of teamwork and a system for training, collecting ratings data, and providing feedback. We will leverage the NSF’s prior investment in the CATME system, which meets the research criteria and automates some of the data collection and feedback, which will aid in executing the research protocol consistently. Seven empirical studies will determine the effect sizes of training, practice in teams, practice rating, and feedback …