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
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
; 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
and inclusionin STEM. The 14 instructors (see table 1) who participated represent a range of institutional roles(e.g., adjunct instructors, professors, and a department chair) and personal identities (e.g.,women, people of color, multilingual, first-generation college graduates). Efforts such as this PLC occupy a unique and underexplored research area supporting STEMfaculty to develop critical awareness to address inclusion and inequity. The field of STEM isparticularly unique regarding efforts to support diversity and inclusion because of the historicalmarginalization of women and people of color in particular (National Science Foundation, 2019;2020). In large part, the historical underrepresentation and marginalization of individuals is
and was categorized as FGCS or Non-FGCS. After removing individuals who did not consent and those under the age of 18, data from19,191 students and 437 instructors remained. Data for instructors and students were matchedusing R software version 4.0.3 (R core team, 2019), resulting in 17,912 survey responses fromstudents, as seen in Table 1.Table 1 Count of survey responses broken down by the gender, race, sexuality, and First-Generation CollegeStudent status of the student and instructor. Matched Social Student Instructor survey Grouping Size for MRM Marker responses
associated with seeking high performance and avoiding low performance.Mastery goals are associated with developing skills and increasing understanding. Eppler et al.(2000) point out that the behavior patterns associated with performance and mastery goalorientations can be valuable when coordinated with one another, and too great an emphasis oneither can be problematic [1]. Furthermore, Elliot & Dweck (1988) demonstrated that theperceived value of a task (in the context of achievement goals) factors into an individual’sbehavioral response to the task [2]. The interaction between instructors and students can help toinfluence students’ goal orientation in an undergraduate engineering course, but this becomesdifficult as class sizes increase and
into the Engineering Analysis sequence of courses (Calculus I, II, and IIIfor engineering students) using Learning Catalytics. We are also improving our implementation methodabove and beyond this first iteration. IntroductionDespite a continued focus on course improvement initiated with the calculus reform movement 30 yearsago [1], first year calculus courses continue to be challenging for STEM majors. Our engineering collegecontinues to work diligently to improve retention of freshmen students, paying particular attention to at-risk students, and we have found that math performance is closely related to retention [2]. The calculuscourses for engineering students are taught within our engineering
. They were attempting to open the black box described in the National Academy ofEngineering’s Pathways (2018) study [1], which spoke of the different ways in which studentsexperienced engineering education, and used their experiences as a stepping stone to a variety ofcareers, including many outside of engineering.Undergraduate engineering education has almost always attempted to provide a professionaldegree, or at least the foundations of a professional degree, in just four years. This, along withthe US commitment to providing a strong general education component at the undergraduatelevel, has made it difficult to unpack how students navigate challenging curricula and providesan important context for changes in engineering education. This
engineering education written for a graduate-level NDM class that was taught by thesecond author (Tyler) in Spring of 2020. From a review of 22 peer-reviewed journal articles andconference papers, the student suggests that there is evidence that: 1) practitioners need to teachabout a broader range of NDM, 2) universities need to clearly identify and articulate their role indeveloping NDM theorists versus technicians, 3) universities need to facilitate partnerships inindustry that provide both entities the resources they need to proceed with high-level NDMeducation and methodological-execution, 4) researchers need to find meaningful ways to educateadministrators and faculty about NDM and its benefits in order to support growing NDMprograms, and 5
of Dar es Salaam I’m a Chemical and Process Engineering Lecturer at the University of Dar es Salaam. I Lecture two courses: (1) Heat and Mass Transfer; and (2) Quality Assurance in Chemical and Food Industries. I also coordinate gender issues at the College level. Apart from Lecturing I do research ad consultancy. My research interest is on areas related to: 1. Bio-energy 2. Food Value Addition 3. Environment American c Society for Engineering Education, 2021 Tanzania Field School: Place-Based Learning for Portable SkillsWe present a program developed through collaboration between engineering and anthropology faculty that focuses oncontextualized
sustainable chemical process design, computer aided design, and multicriteria decision making. She also has extensive experience in K-12 STEM education and program evaluation and assessment. She has held a variety of administrative positions: 1) Director of STEM Faculty Development Initiatives-Clemson, 2) Associate Dean for Undergraduate Studies in the College of Engineering, Computing and Applied Sciences-Clemson, 3) Interim Director of Student Services-Oklahoma State University, 4) Coordinator of the Women in Engineering Program-Oklahoma State University, and 5) Director of the Oklahoma State University Measurement and Control Engineering Center-Oklahoma State University.Dr. Kaileigh A. Byrne, Clemson University Dr
COVID-19 outcomes hasengendered a global pandemic during the recent year and overwhelmed countries worldwide atan incendiary speed. The World Health Organization declared COVID-19 as being a deadlypandemic because of its infectious nature, its rapid spread across various countries, and itsimpact on medical and institutional communities [1]. Challenges were also observed within theeducational system and some are discussed here [2]. Overnight, universities and schools across the U.S and across the world had to transitionto some form of distance learning in order to satisfy the educational needs of students andprograms and keep faculty, staff, and students safe. Social distancing and the usage of newtechnological tools for remote learning
precluded the usual teaming method, and the projectadvisory board adopted an optimization-based approach. Because this approach was developedonly a short time before the beginning of the course, attempts to engineer teams based on criteriapreviously explored in the literature, such as personality type or previous academic performance,were not feasible. Instead, the goal was to provide an efficient mechanism to assign students in afair way according to their preferences. Nevertheless, the teams created with this mechanismfunctioned well as demonstrated by the data presented in this work.This paper describes the details of the optimization approach based on three criteria: (1)balancing skills and expertise across design teams, (2) ensuring that