); ethical in its conductand implications (Walther, Pawley, & Sochacka, 2015); as well as a carefully-planned researchdesign that responds to the research questions, whereby the generation of data enables theresearchers to make supported claims. Although rigor is bound up in all aspects of a study—fromits level of cultural responsiveness to communication with internal and external stakeholdersthroughout the research process—our definition of rigor is narrower than our definition ofquality. Specifically, we understand rigor to mean that a study’s claims and implications havebeen carefully supported with data, and that alternative explanations have been considered andaddressed throughout the research design.Validity and reliability have
learning outcomes, globalization,advancements in information technologies, and intense competition among numerousproviders of education1–3. Universities are asked to produce graduates who are skilled inhigher-order cognition, such as critical thinking and complex problem solving; behave ina principled ethical fashion; can accept and work harmoniously and productively withpeople unlike themselves; have the ability to adapt to diverse and changing situations;and take responsibility for their work4,5.Modern educational organizations are no longer viewed as formal, rational andhierarchically closed systems with hierarchical control patterns. A way to address oldorganizational structures is to build learning organizations. For Senge a
; Transportation; Tropical Medicine; Water Resources2 Acoustics; Anthropology; Biophysics; Clinical Neurology; Ecology; Engineering, Aerospace; Genetics & Heredity; Hematology; History Of Social Sciences; Imaging Science & Photographic Technology; Industrial Relations & Labor; Infectious Diseases; Linguistics; Materials Science, Ceramics; Medical Ethics; Metallurgy & Metallurgical Engineering; Nanoscience & Nanotechnology; Nutrition & Dietetics; Physics, Applied; Physics, Multidisciplinary; Public Administration; Social Issues; Virology; Women's Studies3 Allergy; Astronomy & Astrophysics; Biochemistry & Molecular Biology
the make up of students who select to enroll in pre-collegeengineering classes. To deny (or even delay) access to suit research faces serious ethical barriers,since it denies students and parents their preferences, and could impose serious damage to theirscholastic progress and even later academic and workplace opportunities. In a somewhat similarmanner, teachers opt to participate in or avoid engineering instruction and manipulating thisselection for research purposes faces serious professional and ethic issues. With limited ability inpublic schools to assign teachers to their classes, there is a need to document inherent differencesthat may exist among teachers and to interpret the impact of training and teaching experiences
1 23 76 5 To solve real world problems using principles 4 27 70 5 from the mathematical and natural sciences Team work 2 29 68 5 Ethics 6 28 65 5 Data analysis 4 33 63 5 Engineering Tools 3 33 63 5 Sustainability 9 42 48 5 Societal context 8 46 46 4
education 6. active learning retention 7. software engineering education diversity 8. engineering design e-‐learning 9. engineering software engineering 10. diversity software engineering education 11. design engineering design 12. women in engineering pedagogy 13. collaboration gender 14. teamwork computer science 15. ethics tablet
., engineering science) while largely ignoring the practical, social and behavioralinteractions that make up a significant part of engineering practice [6], [7], [8], [9], [10], [11].There is an increasing sense that science and engineering need to develop broader, moreinterdisciplinary perspectives to address the complex social problems facing the world today[12], [13], [14]. To become competent professionals, engineering graduates need to work acrossdisciplinary boundaries and engage more meaningfully and holistically with the social world andsocial systems that embed engineering such as the diverse international, societal, and communityinterests, as well as the various political, economic, legal, ethical and commercial interests inwhich engineers
research interests are in the areas of problem-solving, cultures of inclusion in engineering, engineering ethics, and environmental justice.Erica D. McCray, University of Florida Dr. Erica D. McCray is an Associate Professor of Special Education at the University of Florida. Prior to joining the faculty, she served as a special educator for students with behavioral and learning disabilities in Title I elementary and middle school settings. Dr. McCray has been recognized on multiple levels for her teaching and research, which focuses on diversity issues. American c Society for Engineering Education, 2021 WIP: Assessing Community Cultural Wealth and Funds
engineering education research, and she was part of a team that studied ethical decision-making in engineering students.Laura J. Carroll, University of Michigan Laura Carroll is a PhD candidate in Engineering Education Research at the University of Michigan. Laura’s research interests are focused on academic success of neurodiverse STEM students, faculty de- velopment and change, and instructional barriers to implementing active learning. American c Society for Engineering Education, 2021 Work in Progress: Barriers Instructors Encounter when Using Active Learning in an Online Classroom SettingIntroductionThis work-in-progress paper seeks to identify
, formal instruction on teamwork may be limited.As part of a curriculum improvement process within the Mechanical Engineering department atRose-Hulman Institute of Technology, we are working to coordinate “threads” that cut acrosscourses in the curriculum, e.g., student teaming, technical communication, business acumen,ethics, and ill-structured problems. Each active thread is championed by a small facultycommittee, charged with prompting and analyzing department reflections, moderating anddocumenting departmental discussions of results, and collecting and sharing evidence-basedpractices relevant to the thread. Each thread is following coordinated change processes acrossdimensions presented by Borrego and Henderson [2] in order to have a greater
Paper ID #31512WIP: Motivations and Outcomes of an Undergraduate Teaching AssistantshipProgramMr. Barukh Ben Rohde, University of Florida PhD student in Electrical and Computer Engineering at the University of FloridaDr. Elliot P. Douglas, University of Florida Elliot P. Douglas is Professor of Environmental Engineering Sciences and Engineering Education, and Distinguished Teaching Scholar at the University of Florida. His research interests are in the areas of problem-solving, cultures of inclusion in engineering, engineering ethics, and environmental justice. American
course will be open to all majors at the university, bothengineering and non-engineering. Design concepts such as problem identification, stakeholderand context development, specification development and market analysis, iterative prototypingand evaluation, collaborative writing, client interactions, ethics and other topics will be covered.Online videos with accompanying quizzes will assess the subject matter understanding of thestudents. In-class discussions will be conducted with students with real-world examples of theapplication of each design principle or skill, followed by related homework assignments.Reflections questions will be provided each week through written prompts to allow students tomake connections between the subject matter
the areas of problem-solving, cultures of inclusion in engineering, engineering ethics, and environmental justice.Dr. David J Therriault, University of Florida Dr. Therriault, an Associate Professor joined the College of Education at the University of Florida in 2004. He received his undergraduate degree in psychology from the University of New Hampshire and his M. A. and Ph.D. in cognitive psychology from the University of Illinois at Chicago. Dr. Therriault’s primary research interests include the representation of text in memory, comprehending time and space in language, the link between attention and intelligence, the use of perceptual symbols in language, and educational issues related to these
Boulder Angela Bielefeldt is a professor at the University of Colorado Boulder in the Department of Civil, Envi- ronmental, and Architectural Engineering (CEAE) and Director for the Engineering Plus program. She has served as the Associate Chair for Undergraduate Education in the CEAE Department, as well as the ABET assessment coordinator. Professor Bielefeldt was also the faculty director of the Sustainable By Design Residential Academic Program, a living-learning community where students learned about and practice sustainability. Bielefeldt is also a licensed P.E. Professor Bielefeldt’s research interests in en- gineering education include service-learning, sustainable engineering, social responsibility, ethics, and
rooted in the nexus ofhumanitarian practice, sustainability awareness, social justice, and professional practice. It willemphasize student teamwork, along with greater consideration of social and economic factors,improved communication with diverse constituents, and reflection on an ethical understanding oftheir decisions and solutions. It also requires that faculty members be empowered to mirror thesevalues and skills in their instruction and mentoring. The RED grant connects professional skillsdirectly to the ability to develop and evaluate solutions within these broader contexts.In this work in progress (WIP), we review our progress towards achieving this vision including:• Establishing a foundation for a revised engineering canon that
Materials Science Engineering from Alfred University, and received his M.S. and Ph.D., both from Tufts University, in Chemistry and Engineering Education respectively. Dr. Carberry was previously an employee of the Tufts’ Center for Engineering Education & Outreach and manager of the Student Teacher Outreach Mentorship Program (STOMP).Dr. Trevor Scott Harding, California Polytechnic State University, San Luis Obispo Dr. Trevor S. Harding is Professor of Materials Engineering at California Polytechnic State University where he teaches courses in materials design, biopolymers, and nanocomposites. Dr. Harding has served as PI of a multiinstitutional effort to develop psychological models of the ethical decision making of
populations, such as low-income students in engineering, by replacing previousmeasurements with this one that accounts for other considerations beyond just income. We claimthat any use other than what is proposed violates the basis and ethics of our work. Figure 1. Socioeconomic inequality as informed by neighborhood socioeconomic inequality.In our framework, we consider neighborhood socioeconomic inequality to be a product of multipleforms of oppression, informed by joint understanding of different localities such ZIP codes andcounties, which have histories of discriminatory redlining [27]. Information about income by ZIPcode and County Code are both available through the United States Census Bureau [32]. Further,multiple forms of discrimination
items assessing theability to design and carry out an experiment; alpha =. 89), 3) engineering skills (four itemsassessing abilities to use engineering tools and skills in practice; alpha = .94), 4) design andproblem-solving (a six-item scale assessing students ability to solve open-ended problems anddesign solutions; alpha = .92), 5) communications skills (four items measuring abilities toconvey ideas in writing, verbally, and in graphs; alpha = .86), 6) group skills (three itemsassessing the ability to work with others; alpha = . 86), 7) knowledge of societal and globalissues (a five-item scale measuring awareness and understanding of societal contexts andcontemporary issues; alpha = .92), 8) ethics and professionalism (five items
development model designed by Vanasupa,Harding, and Hughes9 which depicts the understanding of the broader context (i.e. InternationalAttributes) and the incorporation of engagement and ethical development (i.e. HumanitarianAttributes) causes an increase in the student’s internal drive to learn (i.e. Learning Outcomes andMotivational Outcomes). Other studies have described relationships between studentconfidence, perceived view of importance of subject matter, and student engagement effectlearning outcomes10. The Dominican Republic Learning Outcomes Causal Model usesstructural equation modeling techniques to quantify the causal nature of specific relationshipsthat the Vanasupa et. al. development model suggests, within the context of an
emphasis on the role of opinion:“What’s true to you and what’s not true to you I think you think critically about those issues.” “I Page 14.1240.5guess you just think about what’s true to you, what’s ethical, what’s right to you.”making decisions: All students stated that their answers needed to be based on sound decisionsthat could be justified. Mike’s approach to the problems was to “just reason it, make sure thatwhat I’ve got down, my answer, makes sense to me.” Even when the problem did not involveany complicated knowledge, according to Alice justifying the final answer was important: “It’snot that hard of a problem, but I have to really think
development, withworkshops on leadership skill development (e.g., commitment, responsibility, ethics, peermentoring, etc.) and balancing one’s professional, academic, and personal life (including priority Page 14.203.4setting, multi-tasking, relaxation techniques, participation in extracurricular activities, etc.). Thethird year would focus on professional development and would include a workshop on oralcommunication skills (including mock interviews, etiquette, professionalism, and networking)and professional writing skills (e.g., resume writing, cover letters, other forms of writtencommunication in the workplace, etc.). The last year would focus
engineering ethics. Professor Smith holds a PhD in Anthropology and a certificate in Women’s Studies from the University of Michigan and bachelor’s degrees in International Studies, Anthropology and Latin American Studies from Macalester College.Dr. Juan C. Lucena, Colorado School of Mines Juan Lucena is Professor and Director of Humanitarian Engineering Undergraduate Programs and Out- reach at the Engineering, Design & Society Division of the Colorado School of Mines (CSM). Juan obtained a Ph.D. in Science and Technology Studies (STS) from Virginia Tech and a MS in STS and BS in Mechanical and Aeronautical Engineering from Rensselaer Polytechnic Institute (RPI). His books include Defending the Nation: U.S
group activities. The course works with an organizational real-life counterpart (acompany, the State or an NGO). At the end of the course the student will be able to understandand apply qualitative research methods to inform innovative design solutions. The focus of thecourse is to prepare students to face ill-defined issues using tools to understand the humaninterface and culture and to synthesize in innovative opportunities; to identify a qualitativeresearch question; to detect and delimit opportunities for innovation using tools to tackle ill-defined issues and imperfect knowledge; and to develop an ethical standpoint and criticalthinking on the social responsibilities of an engineer-designer” (Pontifia Universidad Católica,2018). The
, and associate professor of electrical engineering at Kettering University. Dr. Finelli’s current research interests include student resistance to active learning, faculty adoption of evidence-based teaching practices, the use of technology and innovative pedagogies on student learning and success, and the impact of a flexible classroom space on faculty teaching and student learning. She also led a project to develop a taxonomy for the field of engineering education research, and she was part of a team that studied ethical decision-making in engineering students. c American Society for Engineering Education, 2018 Impact of Prior Experiences on Future Participation in Active Learning
translating an engineering design into a product, identifying ethical engineeringpractices and potential design failures, improving teamwork and communication skills. Theoptions evaluated for the new course included: Option 1: Include engineering design process and group project content comprising approximately 10% of the course. Option 2: Include engineering design process and group project content comprising approximately 25% of the course. Option 3: Include engineering design process and group project content comprising approximately 50% of the course. Option 4: Include engineering design process and group project content comprising approximately 75% of the course.The following factors are
approaches2,10.3. Design of the study3.1 Second-year computing tools for engineering designFollowing research ethics board approval, this study was conducted in the Fall 2015 term in theSchulich School of Engineering second year course, Mechanical Engineering 337 “ComputingTools for Engineering Design” – at the University of Calgary, Canada. This course is acontinuation of the first-year computing course, Engineering 233 “Computing for Engineers”,where students are introduced to computer systems and programming in a high-level language(Java11). The goal of this second-year course is to provide students with experience in applyinghigh-level software (in this case, MATLAB12) to the solution of mechanical engineering designproblems.Since its introduction
first four versions of the taxonomy and all instances of epistemology ineach respective version. In the versions of the taxonomy in which epistemology does appear, itappears under different categories and with different sub-categories of its own. In version 1 itwas listed as a component of part of the engineering curriculum dedicated to social, political and Page 26.1630.5organizational studies along with topics like ethics. In version 2 it appears in 3 places, as a category under research methodologies and as two components of developmental theory (whichis a category under theoretical frameworks), epistemology and personal epistemology
relevance is through a study of theEngineering Grand Challenges19. Students are challenged to think critically as they proposedesigns to address some aspect of one of the challenges and then explore ethical implications oftheir proposed designs. Although the logistic regression model was less successful in predictingwho changed majors out of engineering (the model only accurately predicted fewer than 15% ofthose cases), this is somewhat consistent with prior research that showed predicting whoachieves academically is more straightforward than predicting who underachieves20. In otherwords, there is often more variability underlying reasons for underachievement, and the same islikely true for students who change majors out of engineering to choose
Quality Engineering. His current work primarily investigates the effects of select emergent pedagogies upon student and instructor performance and experience at the collegiate level. Other interests include engineering ethics, engineering philosophy, and the intersecting concerns of engineering industry and higher academia. c American Society for Engineering Education, 2016 WIP: Rigorously Assessing the Anecdotal Evidence of Increased Student Persistence in an Active, Blended, and Collaborative Mechanical Engineering EnvironmentBackgroundThis work in progress describes an ongoing study of an active, blended, and collaborative (ABC)course environment used in a core mechanical
(2) published,peer-reviewed literature articles for each technique intended for use as a point of reference.Copies of the journal articles were provided with summarized background information on eachtechnique along with a defense for the decision made for the choice of method (as assessed in theCSU Critical Thinking Value Rubric).Proposed Approach: Student apprentices were to build the proposed framework for theirindividual testimony from an instrument based tool box to use as a road map to the get to the rootcause of the PBL scenario. They needed to identify the key skills and competencies required toconduct their analyses, such as research ethics, content knowledge and informational literacyskills; practical and problem-solving skills