Paper ID #33925Computational Thinking in the Formation of Engineers (Year 1)Dr. Noemi V. Mendoza Diaz, Texas A&M University Dr. Mendoza Diaz is Assistant Professor at the College of Education and Human Development with a courtesy appointment in the College of Engineering at Texas A&M University. She obtained her Ph.D. from Texas A&M University in Educational Administration and Human Resource Development and worked as a Postdoctoral Researcher with the Institute for P-12 Engineering Research and Learning- INSPIRE at the School of Engineering Education-Purdue University. She was a recipient of the Ap
, plus social,academic, and professional support. WEM3UR builds on the Women in Engineeringprogram and the Office of Undergraduate Research. This presentation outlines thecreation and start of the program (semester 1) in Fall 2020 as an EngineeringInformation Foundation Women in Engineering Grant recipient. 1California State Polytechnic University, Pomona (Cal Poly Pomona) is part of the 23-campus California State University system in California. Cal Poly Pomona has a “learnby doing” philosophy and is ranked second in top public schools and third as mostinnovative schools by U.S. News & World Report (U.S. News & World Report, 2020
Paper ID #34918Make Assessment Straightforward: A Case Study on the SuccessfulImplementation of ABET Student Outcomes 1-7Dr. Anthony Battistini, Angelo State University Dr. Anthony Battistini is an Assistant Professor in the David L. Hirschfeld Department of Engineering at Angelo State University. He received his BSCE (2007) degree from Lehigh University and an MS (2009) and PhD (2014) degree from The University of Texas at Austin. His expertise is in structural design, with an emphasis in steel bridge structures and connections. Prior to his current institution, Dr. Battistini also held assistant professor positions at
Paper ID #34705Work in Progress: Engaging First-year Students in Programming 1 DuringCOVID-19Dr. Stephany Coffman-Wolph, Ohio Northern University Dr. Stephany Coffman-Wolph is an Assistant Professor at Ohio Northern University in the Department of Electrical, Computer Engineering, and Computer Science (ECCS). Research interests include: Artifi- cial Intelligence, Fuzzy Logic, Game Theory, Teaching Computer Science, STEM Outreach, Increasing diversity in STEM (women and first generation), and Software Engineering. American c Society for Engineering Education, 2021
Paper ID #33082An After-action Review: Creating a Matrix Organizational Design Modelfor Online Education at a Tier-1 Research UniversityDr. Mitchell L. Springer, Purdue University at West Lafayette Dr. Mitchell L. Springer PMP, SPHR, SHRM-SCP Dr. Springer currently serves as an Executive Director for Purdue University’s Polytechnic Institute lo- cated in West Lafayette, Indiana. He has over thirty-five years of theoretical and defense industry-based practical experience from four disciplines: software engineering, systems engineering, program manage- ment and human resources. Dr. Springer possesses a significant
Paper ID #32379Demographic Leadership: A First-of-Its-Kind Diversity Leadership OnlineCourse in a Tier-1 University Doctorate Degree ProgramDr. Mitchell L. Springer, Purdue University, West Lafayette Dr. Mitchell L. Springer PMP, SPHR, SHRM-SCP Dr. Springer currently serves as an Executive Director for Purdue University’s Polytechnic Institute lo- cated in West Lafayette, Indiana. He has over thirty-five years of theoretical and defense industry-based practical experience from four disciplines: software engineering, systems engineering, program manage- ment and human resources. Dr. Springer possesses a significant
engineering college,and who matriculate in our college, receive a scholarship. Over the pastfive years, the program has grown in size, scope and impact, such that itis now a residential experience and one that students across our stateare eager to apply for. We consider it a model worth sharing for two keyreasons:1) This is a unique university-corporate partnership. We have beenable to fund this with corporate support because we found a way toaddress corporate priorities and our priorities simultaneously.2) We’ve used intentional and thoughtful assessment andoperated through a model of continuous improvement. As such, we’vebeen able to demonstrate significant improvements in five years. We
; Biological Engineering and Electrical & Computer Engineering at the University of New Mexico. He earned his Ph.D. in chemical engineering from the University of California at Santa Barbara and his B.S. in chemical engineering with honors from the University of California at Berkeley. Dr. Han has over 25 years of experience in electronic and pho- tonic materials engineering and fabrication. His current research topics include (1) writable/rewritable quantum structures by stress patterning; (2) low-cost, crack-tolerant, advanced metallization for solar cell American c Society for Engineering Education, 2021
that lead to reducing the quantityand diversity of possible solutions, the results of the study can support engineering instructors toprovide scaffolding as they provide lessons on concept generation for their students.IntroductionWith the increasing complexity of problems in the world, engineers must develop innovativesolutions to pressing problems, as described by the National Academy of Engineering [1]. Toequip students with important design skills, design education has adopted project-based coursesthat require students to tackle open-ended problems [2]. However, despite the changes in thecurriculum, studies have indicated the challenges of teaching students how to innovate [3], [4].Engineers engage in concept generation in design, which
interpersonal skillsand prepare engineers for future jobs in industry [1], where most of the work is team-based.Much of the research on teams in engineering education has focused on team effectiveness (see[1] for a review), with limited research on team behaviors. Yet, team behaviors can impact teameffectiveness both directly [2], [3] and by influencing other team dynamics such as teamcreativity [4], team learning behavior [5], and team psychological safety [5]. Further, teambehaviors can impact the individuals on the team; sense of belonging, for example, is affected byteam behaviors [6].Sense of belonging and psychological safety are important factors to consider on engineeringdesign teams, especially as we work to create more inclusive and equitable
module has also been developed for a mechanicalengineering training course (Scaravettia & Doroszewski, 2019). The study of Scaravettia &Doroszewski (2019) noticed that the relevant information about the complexity of a mechanism isextracted easier with the support of AR modules. This result also suggests the potential ability toshorten and enhance learning process in the specific mechanical engineering training (Scaravettia& Doroszewski, 2019).Methodology Researchers developed an AR application (ARCADE) in Creo Parametric, Unity Engine,and Vuforia platform. Image targets are technical drawings with projected views of a 3D objectscreated by Creo Parametric (Figure 1). The application installs on mobile devices and track
American c Society for Engineering Education, 2021 Building Self-efficacy and Interest in Engineering through DesignIntroductionAn NSF study that was completed in 2007 entitled Investigating the Gender Component inEngineering [1] studied factors that promote interest in engineering among undergraduatewomen at several institutions, including at Dartmouth. Elements of the culture and courses atDartmouth that were identified by Craemer’s study [1] to promote interest in engineering amongundergraduate students who identify as women included the use of a collaborative problem-solving approach, flexibility in the curriculum, focus on real-world problems with socialsignificance, and the interdisciplinary nature
strategy for instructors. IntroductionThe importance of criterion-based team formation. Assigning students to projects builds thefoundation of the success of a capstone course teaming experience to students and is a tedious andlaborious process for instructors [1]. In this paper, we introduce the design and testing of a newfeature of CATME Team-Maker system to better serve the needs of instructors of project-basedcourses to properly and effectively assign students into teams [2]. Fully integrated with the currentCATME Team Tools, this proposed function is a new type of ranking question allows student torank project lists provided by instructors from a scale of most desired to least desired. Thealgorithm
generative designquestions to results of prior studies that have produced analogous distributions in conventionalface-to-face settings. We find that a larger portion of peer inquiry that is delivered in writtenform in asynchronous critiques is composed of generative design questions, which serve toexpand the design space, and which have been previously found to be highly valued by designteams. Our findings serve to not only evaluate the effectiveness of the written, asynchronousapproach to design critiques, but also support a discussion on how some of its features can beuseful even when in-person peer design critiques are feasible.1. IntroductionDesign critiques are an effective design pedagogy in which students engage in conversationswith
Communication(BCOM) course work in teams on a hypothetical Corporate Social Responsibility (CSR) project.Students identify a social need in their community and develop a plan to address the problem.Teams also identify companies that could be interested in funding the project. While the projectis hypothetical, it mirrors actual CSR efforts undertaken by organizations to enhance theirreputations and images.As papers presented at recent ASEE conferences show [1], engineering students, just likebusiness students and students from nearly any major, need to develop professionalcommunication skills. To address this need, a partnership between the engineering and businessschools has made it possible for the engineering students to receive specialized training
solving has becomeincreasingly common in engineering courses [1]. Research has established the efficacy of ill-structured tasks for providing students with collaborative design experience authentic to industry[2], [3]. However, research on effective ill-structured task design in the context of undergraduategroup problem solving is relatively limited. Studies have explored how to design and constructill-structured tasks that effectively engage students and promote higher learning outcomes andgroup collaboration [4], [5], [6], but these tasks have primarily been limited to two-dimensionalrepresentations that lack opportunity for students to realize their design implications in thephysical world. Transformative learning theory asserts that cognitive
different teams collected ethnographic andautoethnographic data in the form of field notes to explore how students learn across a variety ofprojects that vary in their scope, type, and team composition. This paper aims to explain theimpacts that role rigidity and project management style have on the design process and discussthe factors that influence the types of learning occurring in capstone teams. Data suggest thatproject scope, role rigidity, and the level of ambiguity in the project impact the learningprocesses employed by different teams, and the skills that team members developed.1 IntroductionThis work in progress study uses ethnographic and collaborative autoethnographic methods totrack four different undergraduate engineering capstone
. American c Society for Engineering Education, 2021 Work in Progress: Effects of computational aspects of differential equations (DE) course delivery on students’ computing experience in engineering instructionIntroductionRecent literature and Industry 4.0 discussions [1] have highlighted the need for engineeringgraduates to gain computational facility in all stages of ill-posed, industry-relevant problemsolving, from problem framing to understanding of and confidence in algorithm output.Chemical and mechanical engineering students grapple with both ordinary and partial differentialequations in their engineering coursework using computational methods that they may not
and presents in several organizations (such as AERA, ASEE, ASTE, NSTA, and SITE.), and she is the current chair- elect for the ASEE PCEE Division. Before beginning her work in higher education, she taught secondary school science for 12 years in Florida and Virginia (USA). American c Society for Engineering Education, 2021CODING IS THE NEW COAL 1 Coding is the New Coal: A History of Integrating Computer Science Across Wyoming’s K-12 Curriculum Astrid K. Northrup, S. Renee Dechert, and Raymond Floyd Northwest
variety of uses.1 IntroductionTeachers of programming courses have long wanted visibility into their students' programming behavior,such as what dates and times students programmed, how much time they spent, how often theycompiled/ran their programs, how much code they wrote between compiles/runs, and so on.However, in the past, most student programming was done in environments like Eclipse, Visual Studio,or command line tools, that didn't log such activity or make such logs readily available to teachers.Some education-focused environments evolved that logged development behavior, like BlueJ for Java,allowing research into student behavior such as [Jadud05][Jadud06]. Some teachers had students useversion control software like Git to get some
develop an entrepreneurial mindset (EM) incomputer science students. An entrepreneurial mindset is defined by the Kern EntrepreneurialEngineering Network (KEEN) as supporting students in developing advanced skills and mindsetsto equip students to create personal, economic, and societal value [1]. Traditional computerscience education often focuses on technical and collaboration skills. The mindset is a criticalskill to develop in a software engineering course as many students can rapidly create novelapplications as demonstrated by the rise and success of mobile apps. This class was redesigned tobuild a set of skills and mindsets to focus the students on creating value.The modules described in this paper, and contextualized in purple in Figure 1
large tasks, and deploying heuristic reasoning, iteration and search todiscover solutions to complex problems.” (Naughton, 2012). Taking a different tactic, the InternationalSociety for Technology in Education and the Computer Science Teachers Association polled teachers,researchers, and practitioners to create an operational definition that lists a set of skills and qualities,instead of stating an all-encompassing principle (ISTE & CSTA, 2011). Figure 1 shows the results of theirinquiry.Computational thinking (CT) is a problem-solving process that includes (but is not limited to) thefollowing characteristics: • Formulating problems in a way that enables us to use a computer and other tools to help solve them. • Logically
225,500 graduate STEM degrees were awarded in the U.S.; 181,000 being masterdegrees and 44,500 were doctoral degrees [1], [2], [3] . According to the National ScienceFoundation (NSF) [4], URM graduate students only earned about 9% of the overall doctoraldegrees awarded in 2015 and about 13% of undergraduate degrees. This evidence suggests thatSTEM doctoral programs in the U.S. are severely deficient in representation from students ofdifferent racial and ethnic groups. This is a disturbing historical and contemporary trend thatuniversities should pay close attention because of the implications on America’s ability tocompete on a global level with nation states succeeding at preparing individuals for careers inSTEM fields.The participation of URM
; and teaching engineering. American c Society for Engineering Education, 2021 A Reflective Evaluation of a Pre-College Engineering Curriculum to Promote Inclusion in Informal Learning EnvironmentsIntroductionWithin the United States, pre-college (K-12) students spend approximately 80% of their dayoutside of school [1]. During the remaining 20% of their day, students in United States publicschools spend the least amount of time receiving science-related instruction compared to readingand math [2]. In addition, other disciplines like technology and engineering may not be availableto students during their school day. The accessibility and quality of science
that support underrepresented high school students interested in STEM. Thesearch resulted in a full-text review of 25 articles that explore programmatic outcomes for pre-college students with the intent to diversify the STEM workforce. Initial findings suggest that thegoal of these intervention programs is to provide enriching experiences for these students toencourage interests to pursue a STEM career as well as boost confidence in STEM subjects.Metrics used to target the effectiveness of programs revolved around three criteria: (1) studentacademic achievement in science and math, (2) matriculation through a STEM major and (3)competency in engineering-oriented skills. Three common recommendations for more robustprograms are well-prepared STEM
builds on our earlier study [1],which developed a conceptual model of belongingness among international engineering doctoralstudents based on their interactions with faculty, peers, and staff. A literature review informedthis conceptualization and revealed a lack of consistency in the conceptual structure ofbelongingness in both higher education and engineering education. This work will include thefollowing: 1) a brief review on the varied characteristics of sense of belonging (e.g., definitionsand constructs/defining components) in different context (e.g., K-12 education, undergraduateeducation, graduate education, and community) among different populations (e.g., adolescents,undergraduate students, underrepresented students, and adults), 2) a
. The previousday, the participants had met separately as a group of white women and a group of women ofcolor. Our efforts are informed by several theoretical frameworks: (1) internalizedoppression (2) self-efficacy and resilience (3) transformative change; (4) thought mapping foraction; and (5) building alliances for policy reform. This paper will discuss the results of anassessment conducted in parallel with the events and as a follow up.IntroductionWomen come bearing different histories, sizes, skin tones and hair color, yet, in a highlygendered society, they share many of the same experiences. Women are often are oftenoverworked, underpaid, undervalued; still, they remain a formidable force to be reckoned with,especially when we come
approachis often achieved through programs such as the Summer Engineering Experiences for Kids(SEEK) program. SEEK is a three-week summer program organized by the National Society ofBlack Engineers (NSBE) to expose children to hands-on, team-based engineering designprojects. The purpose of this work-in-progress paper is to discuss the data analysis process usedto examine shifts in children’s perceptions of engineers as a result of participating in theprogram. Children’s perceptions were captured using prompts asking them to either (1) drawthemselves as an engineer or (2) draw an engineer. Each SEEK participant received one of thetwo prompts. In this paper, we considered the inclusion of Critical Race Theory concepts toextend the qualitative analysis
from the community participating in laboratory work 24 hours perweek over the course of 1 semester with Saturday session for professional development ofall women students. Primary outcomes for the program was to increase interest in STEMcareers, confidence in lab skills and engineering design process, learned persistence,particularly in research. Additional objective were for mentors to gain mentoring skills, andthe formation of community to foster belonging. 5In the first iteration of the WRAMP program, affectionately call WRAMP 1.0, 1 graduatestudent was paired with 1 high school student. Research was designated for 2-4 hours foreach high school
as well as general participation in programs andevents aimed to benefit current students. Over the past three years it has become increasinglydifficult to recruit volunteers for WE@RIT’s largest event, an accepted student overnight calledWE Retreat; and the rate of no-shows at events targeting current students, called Kate’s Hours,has skyrocketed in some cases. For example, WE Retreat saw first-year student volunteerparticipation rates drop from 72% of total WE Retreat volunteers in 2010, to 36% of total WERetreat volunteers in 2019 (Fig. 1). This is a problematic trend given that up through 2019 amajor draw of the WE Retreat program was to allow prospective students to experience anovernight in dormitory housing, which first-year students