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- 2022 ASEE - North Central Section Conference
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Holly Maribeth Plank, University of Pittsburgh
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own context and evolving understanding of a liberatoryengineering education.IntroductionEducational scholar Dr. Bettina Love relentlessly advocates for the urgent need for abolitionistteachers who can design curriculum and educational experiences for our students that areliberatory in nature.1 A liberatory engineering education has the potential to empower ourhistorically underrepresented and racially minoritized students to be the kind of engineers whowill collaboratively strive for a just world and solve humanity’s most pressing problems.2Technology integration in engineering curriculum can either aid or hinder students’ ability tothrive as humans as well as potential future engineers. After years of seeing the ways technologycan be
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- 2022 ASEE - North Central Section Conference
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Scott Duplicate Streiner, University of Pittsburgh; Qin Zhu, Colorado School of Mines
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statements. For the first set of statements, participantsdecide how important each would be when deciding whether something is right or wrong, therelevance subscale. For the second set of statements, participants indicate their levels of agreement,the judgement subscale6. Each statement corresponds to one of five different “moral foundations”– ways of conceiving matters of right and wrong, concerned with different kinds of behaviors andcontents (see Table 1). Table 1. MFQ Moral Foundations Care-Harm Authority-Subversion Fairness-Cheating Sanctity - Denigration Loyalty-BetrayalCare and fairness are called the “individuating
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- 2022 ASEE - North Central Section Conference
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Alexia Leonard, The Ohio State University; Andrew Maxson, The Ohio State University
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expected to run the system at several different tuning parameters to gain anunderstanding of how the system operates over time. The final price point of this lab sits under200 dollars and with modifications it can be operated for under 100 dollars. In conclusion, thislab offers an affordable option to instructors looking to introduce the fundamentals of processcontrol with their students.Keywords: Chemical Engineering, K-12 Education, First-Year Engineering, PID Controllers,Microcontrollers2 Introduction2.1 Major Choice and Diversity within Chemical EngineeringIncreasing equity and diversity within engineering education continues to be a large focus ofresearch today (see for example, [1]). Despite persistent efforts, the number of
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- 2022 ASEE - North Central Section Conference
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Carmen Cioc, The University of Toledo; Sorin Cioc, The University of Toledo; Josh Landel, The University of Toledo; Ethan Dunham, The University of Toledo
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American c Society for Engineering Education, 2022 Developing Power Cycles Simulations for an Applied Thermodynamics CourseAbstractAs part of the rigorous curriculum for the Mechanical Engineering Technology (MET) students,laboratory courses supply a critical part of the engineering education through hands-onobservation, measurement, data acquisition, data analysis and interpretation, technical reporting,teamwork, and others. When the access to hands-on laboratory activities was abruptly interrupteddue to COVID-19, there was an immediate need 1) to find practical computer simulations, and/or2) to develop new simulations, both in support of the theory discussed during
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- 2022 ASEE - North Central Section Conference
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Haroon Malik, Marshall University; David A Dampier, Marshall University
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) only report result for the 'sweet-spot' factorsalong one or two dimensions (e.g., student educational history⸺ quizzes, assignment, andexams; demographic features⸺ sex, age, marital status, state) [1-2], (b) are carried out withdiverse and fragmented factors using dissimilar machine learners making their results difficult tocompare [3]. Towards this end, the paper exploits all the attributes (i.e., sixty-seven attributes)over ten dimensions (listed in Table 1) using five machine learning algorithms. The Objective ofthe work-in-progress (WIP) is two-fold: (i)To leverage machine learning to identify the factorsthat are the best predictor of an at-risk student(s) in a programming course and (ii) Compare theperformance of the machine learner(s
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- 2022 ASEE - North Central Section Conference
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Colin K Drummond, Case Western Reserve University; Matthew L Moorman, Case Western Reserve University
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cases designed to associate and translate engineering concepts into relevant medicalknowledge. Course didactic components were posted on a Learning Management System, andstudents were expected to read and prepare arguments for each case to be discussed in class. Theframework of the course is designed to enhance systems thinking and insight on prior biomedicalknowledge and innovation, as well as measurable improvement in critical thinking skills in thefield of medicine.Nine course learning objectives were developed for the course, and at the end of the coursesuccessful students were expected to be able to: 1. Have fundamental knowledge of applied physiological system function and dysfunction. 2. Analyze physiological systems from an
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- 2022 ASEE - North Central Section Conference
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Stephany Coffman-Wolph, Ohio Northern University; John K. Estell, Ohio Northern University
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informant interviews, is “an outcome-basedapproach to education that incorporates modes of instructional delivery and assessment effortsdesigned to evaluate mastery of learning by students through their demonstration of theknowledge, attitudes, values, skills, and behaviors required for the degree sought.” 3 As the futureof education continues to be examined, there has been a growing call for going beyond the roteelements of knowledge-based learning to incorporate human skills into technical curricula. Forexample, a recent contributor to Forbes discussed the necessity of CBE for the future of work, as Proceedings of the 2022 ASEE North Central Section Conference 1 Copyright © 2022, American
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- 2022 ASEE - North Central Section Conference
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Joaquin Rodriguez, University of Pittsburgh; April Dukes, University of Pittsburgh; John Andrew Keith, University of Pittsburgh, Department of Chemical and Petroleum Engineering
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: heterogeneity (nominal group) and inequality (graduated status) (Blau1977).Heterogeneity can be measured by “the distribution of a population among groups in terms of anominal parameter” and calculated as an index (HI) by equation (1): ∑ 𝑥𝑖2 𝐻𝐼 = 1 − (1) (∑ 𝑥𝑖 )2where 𝑥𝑖 is the number of individuals in the ith group, and the sum is taken over all the groups.The heterogeneity index starts at 0 if all the individuals belong to only one group (uniformity)and increases up to 1 as the number of groups with even numbers of members increases (i.e., ifevery individual is taken as a different singular group). This
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- 2022 ASEE - North Central Section Conference
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Seth Vuletich, Colorado School of Mines; Emily Bongiovanni, Carnegie Mellon University ; Brianna B Buljung, Colorado School of Mines; Alexander Luis Odicino, Claremont Colleges Library
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level skills and knowledge about accessibilitybest practices. This open course builds on accessibility guidelines, resources, and training fromother institutions, including the California Community Colleges 1 and Pennsylvania StateUniversity.2With the support of $118,000 of grant funding, the Arthur Lakes Library at Mines has facilitateda successful OER program that is now saving students approximately $620,000 annually. 3Despite this success in student cost savings, the OER created under this program were notnecessarily made accessible, which is essential for making educational resources equitable. Thegrant administrators’ limited expertise and staff availability made it necessary to deploy a novelapproach to address accessibility of materials