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Conference Session
Systems Engineering Division Technical Session 2
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Marsha Lovett, Carnegie Mellon University; Mark David Bedillion, Carnegie Mellon University; Cassandra M. Birrenkott, South Dakota School of Mines and Technology; Karim Heinz Muci-Kuchler, South Dakota School of Mines and Technology; Laura Ochs Pottmeyer, Carnegie Mellon University
Tagged Divisions
Systems Engineering
science on student learning. American c Society for Engineering Education, 2021 Building and Revising an Assessment to Measure Students’ Self-Efficacy in Systems Thinking Mark D. Bedillion1*, Cassandra M. Birrenkott2, Marsha C. Lovett3, Karim H. Muci-Kuchler2, and Laura O. Pottmeyer3 1 Mechanical Engineering Department, Carnegie Mellon University 2 Mechanical Engineering Department, South Dakota School of Mines and Technology3 Eberly Center for Teaching Excellence and Educational Technology, Carnegie Mellon University
Conference Session
Systems Engineering Division Technical Session 1
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Mark David Bedillion, Carnegie Mellon University; Karim Heinz Muci-Kuchler, South Dakota School of Mines and Technology; Cassandra M. Birrenkott, South Dakota School of Mines and Technology; Marsha Lovett, Carnegie Mellon University; Laura Ochs Pottmeyer, Carnegie Mellon University
Tagged Divisions
Systems Engineering
, with technical contentembedded in an online learning module and class time used to perform a group designactivity.An effective means of measuring students’ systems thinking / systems engineering skills isneeded to assess the effectiveness of the intervention. There have been several approaches in theliterature, ranging from comprehensive written / practical exams 9 to computerized tests thatmeasure specific systems engineering skills 10 . This paper uses a survey instrument called theSystems Thinking Skills Survey (STSS) 6 which includes both self-efficacy questions andtechnical questions to assess students systems engineering skills.This paper describes results of a flipped-classroom learning experience on systems engineeringgeared toward
Conference Session
Systems Engineering Division Technical Session 2
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Cassandra M. Birrenkott, South Dakota School of Mines and Technology; Karim Heinz Muci-Kuchler, South Dakota School of Mines and Technology; Mark David Bedillion, Carnegie Mellon University; Marsha Lovett, Carnegie Mellon University; Laura Ochs Pottmeyer, Carnegie Mellon University
Tagged Divisions
Systems Engineering
(.58) -5.28 33 <0.001* 2.25 (.62) 2.96 (.67) -3.34 15 0.001*Generation Systems 1.55 (.91) 2.90 (.51) -8.16 33 <0.001* 2.07 (.64) 3.09 (.68) -3.08 15 0.002* Architecturea repeated measures paired t-testb non-parametric Wilcoxon-sign rank test*significant at the 0.05 levelResults of paired t-test indicated that the overall increase in self-efficacy scores over the course ofthe Fall 2019 semester (pre M=1.61, SD=0.82; post M=2.80, SD=0.50) was statistically significantt(33)=-8.02, p<0.001. Additionally, the increase in self-efficacy scores in Fall 2020 (pre M=2.13,SD=0.64; post M=3.03, SD=0.60) was also statistically significant Z=-3.41, p<0.001.Overall, these self-efficacy results demonstrate
Conference Session
Systems Engineering Division Technical Session 1
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Tahsin Mahmud Chowdhury, Virginia Polytechnic Institute and State University; Sreyoshi Bhaduri, McGraw Hill ; Homero Murzi, Virginia Polytechnic Institute and State University
Tagged Divisions
Systems Engineering
senior design or capstone projects,” ASEE Annual. Conf. Expo. Conf. Proc., vol. 2018-June, no. July, 2018.[20] S. Gillespie and A. Maccalman, “A Case Study in Developing an Integrated Data and Model Management System for the Development of a Complex Engineered System,” in 2018 IEEE Technology and Engineering Management Conference, 2018.[21] K. Laitinen and M. Valo, “Meanings of communication technology in virtual team meetings: Framing technology-related interaction,” Int. J. Hum. Comput. Stud., vol. 111, pp. 12–22, 2018.[22] R. Khan, C. Whitcomb, and C. White, “Self-efficacy analysis of student learning in systems engineering,” ASME Int. Mech. Eng. Congr. Expo. Proc., vol. 5, 2016.[23] E