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- Systems Engineering Division (SYS) Technical Session 2
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Garrett Goodman, Miami University; Suman Bhunia, Miami University; Peter Jamieson, Miami University
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code from an LLM, they mustunderstand what that code does to integrate it into a larger program without causingproblems.Future work will have us benchmark later classes, such as CSE 374 - Algorithms 1 in thecurriculum, as CSE 174 and CSE 274 are at the front of our curriculum. Then, we can comparethe benchmarking results to make more concrete suggestions for CSE curriculumimprovement.8 AcknowledgmentsMiami University’s College of Engineering and Computing provided support for this project.This work was performed in tandem with the ECE department at Miami University under theguidance of Dr. Peter Jamieson, but with our differing CSE curriculum [30].References [1] A. Agrawal, J. Gans, and A. Goldfarb, Prediction Machines, Updated and
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Shamsnaz Virani Bhada, Worcester Polytechnic Institute; Sarah E. Stanlick, Worcester Polytechnic Institute
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important step towards regularization ofthese topics in education. At the same time, we recognize that a cultural shift needs to occur forengineering educators to both feel comfortable and equipped to teach decolonial systems design,as well as having the tools to effectively do so.References[1] S. Winberg and C. Winberg, “Using a social justice approach to decolonize an engineering curriculum,” IEEE Global Engineering Education Conference, EDUCON, pp. 248–254, Jun. 2017, doi: 10.1109/EDUCON.2017.7942855.[2] D. G. Carmichael, “Bias and decision making – an overview systems explanation,” Civil Engineering and Environmental Systems, vol. 37, no. 1–2, pp. 48–61, Apr. 2020, doi: 10.1080/10286608.2020.1744133.[3] M. Agyemang, D
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John Mendoza-Garcia, University of Florida; Andrea Goncher-Sevilla, University of Florida; Mengyu Li, University of Florida
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Paper ID #45420Assessing Systems Thinking Skills in Engineering Education: AddressingImplementation Challenges and Unintended Consequences in Ill-structuredProblemsDr. John Mendoza-Garcia, University of Florida John Mendoza Garcia is an Instructional Associate Professor at the Department of Engineering Education in the Herbert Wertheim College of Engineering at the University of Florida. He received his Ph.D. in Engineering Education at Purdue University, and he has a Master’s and a Bachelor’s in Systems and Computing Engineering from Universidad de Los Andes, in Colombia, and Universidad Nacional de Colombia respectively
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Khadija Ishfaq Rana, University of Toronto; Emily Moore, University of Toronto
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described in the background section.Only one out of the 18 post-workshop survey respondents expressed disappointment with theworkshop, saying how they thought they would learn about the bioeconomy, but that they didnot.Some questions were repeated between the pre- and post- workshop surveys, with a noteappended to them in the latter survey that asked respondents to integrate any learnings from theworkshop. Responses to these questions allowed an indirect interrogation of the extent to whichparticipants were able to apply learnings from their workshop. Findings from one of the repeatedquestions is compared across the 16 paired responses; table 2 below contains representativesamples from the response set.Table 2: Characteristic responses to the
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Amin Azad, University of Toronto; Emily Moore P.Eng., University of Toronto
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curriculum infused with Systems Thinking princi-ples might have equipped professionals with the skills to foresee the cascadingeffects of infrastructure changes. For instance, a deeper understanding of socio-technical interfaces could have led to better risk assessment and stakeholder 2communication, potentially averting the crisis altogether. The integration of Systems Thinking into engineering education has gainedtraction in recent years, particularly in response to calls for curricular reformsaimed at addressing global challenges [10]. Courses like TEP 448 at the Uni-versity of Toronto serve as an example of this integration and are discussed inmore detail in Section 2.3. [11]. One widely used model to
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Rafic Bachnak, Marymount University; Abhilasha Mishra, Pennsylvania State University, Harrisburg, The Capital College
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State University, Harrisburg, The Capital College Abhilasha is a graduate student in Engineering Management at Pennsylvania State University, with a strong background in software engineering and extensive experience in developing systems to address complex engineering challenges. Building on their professional experience in system design and integration, Abhilasha applies systems thinking principles to better understand the interdependencies within dynamic engineering systems. Their current research focuses on integrating systems thinking approaches into the engineering curriculum, aimed at improving decision-making and problem-solving in complex, interdisciplinary environments. By combining practical industry
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Abul K. M. Azad, Northern Illinois University; Jim Goodell, INFERable and IEEE Learning Technology Standards Committee; Aaron Kessler Ph.D., Massachusetts Institute of Technology; Scotty D. Craig; Hamadou Saliah-Hassane ing., TELUQ University
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integrates technology to enhance learning while maximizing the use ofdwindling educational resources. This is especially true in engineering education, where theinvestment per student is much higher due to the need for specialized laboratory facilities.This paper aims to spark an engaging discussion among engineering educators on how LE,within a systems engineering framework, has the potential to center and address many of the corechallenges currently facing engineering education. It is intended for those who are alreadyworking toward a learning engineering vision and those that are new to the ideas presented. Itintroduces LE, a field that integrates general engineering principles with discipline-specificpractices rooted in the learning sciences and