engineering education, embedded systems, and ecological monitoring.Dr. Paul Hummel, California Polytechnic State University, San Luis Obispo Paul Hummel is a lecturer in the Electrical Engineering department at California Polytechnic State Uni- versity. He has a BS in Engineering with a Computer concentration from LeTourneau University and a PhD in Engineering with an emphasis on Microelectronics from Louisiana Tech University. His current activities focus on project based learning and online student assessment.Dr. K. Clay McKell, California Polytechnic State University, San Luis Obispo Clay McKell earned his B.S. degree, summa cum laude, in mechanical engineering from UCLA in 2006. He earned his M.S. degree in mechanical
working as a Research Assistant for an NSF-funded project at UTEP dedicated to broadening the participation of Latinx students in higher edu- cation. American c Society for Engineering Education, 2021 Identity Capital and Persistence among Latinx Engineering/CS Undergraduates on the US-Mexico BorderAbout 10% of engineering and computer science degrees in the U.S. were awarded to Hispanicsfrom 2004 to 2014 [1], while only 8% of the engineering workforce and 7% of the computingworkforce, respectively, was comprised of Hispanics, as of 2018 [2]. In spite of concertedefforts over the last several decades at expanding their enrollment and
Under-Represented Minority Students in STEM Courses,” Texas Tech University in, 2016, pp. 1-161.11. Gosser, D. K., & Roth, V.,1998, “The workshop chemistry project: Peer-led Team Learning”, Journal of Chemical Education, 75(2), 185-187.12. Gosser, D. K., Cracolice, M. S., Kampmeier, J. A., Roth, V., Strozak, V. S., & Varma-Nelson, P.,2001, “Peer-Led Team Learning: A Guidebook”, Upper Saddle River, NJ: Prentice-Hall, Inc.13. Beck, P.,2012, “PLTL & Pre-Calculus at Prince George’s Community College. Peer-led Team Learning: Implementation”, Originally published in Progressions: The Peer-led Team Learning Project Newsletter, (3)2, Winter 2002. Retrieved from http://www.pltlis.org14. Hockings, S.C., DeAngelis
citizenry, the creates a challenge requiring the constraint of projects suchPartnership for 21st Century Skills developed a framework oflearning outcomes [3] for US K-12 education. In addition to that students with little experience will perceive theiraddressing the classical elements of primary and secondary performance as successful—as a mastery experience. One’s self-perception of content mastery is highly linked to one’seducation knowledge content, the framework aspires to self-reported enjoyment, interest, and satisfaction
Technology Engineering and Mathematics) education. Inaddition, mechanistic reasoning is one of the core competencies listed in the Next Generation ScienceStandards (NGSS) Engineering Concepts and Practices (NGSS Lead States, 2013). Mechanisticexplanations focus on the processes that underlie cause-effect relationships and take into account howthe activities of system components affect one another.While some assessment work has been accomplished in engineering education, to date mechanisticreasoning is an area where limited assessment development has been accomplished for pre-collegepopulations. The data in this study come from the calibration of the Assessment of MechanisticReasoning Project (AMRP) (Weinberg, 2012), designed to diagnose individuals
, the findings are limitedinspiration, personal and professional impact, and commitment. to undergraduate students who are directly involved in research projects. I. I NTRODUCTION AND R ELATED W ORK In addition to an improvement in intrapersonal skills, relevant CADEMICS and educators are constantly searching for studies also exhibit professional development opportunities forA new strategies to excite, inform, and retain students in students who attend conferences. Multiple studies noted thatscience, technology, engineering, and mathematics (STEM) students benefited from
Paper ID #242252018 CoNECD - The Collaborative Network for Engineering and ComputingDiversity Conference: Crystal City, Virginia Apr 29Women in Computing & Engineering: Differences between Persisters andNon-persistersTim John Weston, University of Colorado, Boulder Tim Weston is a research associate for the University of Colorado’s Alliance for Technology, Learning and Society (ATLAS) where he has conducted evaluation and research on NSF, Department of Educa- tion, NASA and private foundation funded projects for 19 years. Weston specializes in the evaluation of programs with educational technology interventions, assessing new
Industrial Engineering from Clemson University.Mr. Adrien DeLoach, Virginia Polytechnic Institute and State University Adrien DeLoach is a doctoral candidate in the Higher Education program and member of the academic support programs staff in the Center for the Enhancement of Engineering Diversity at Virginia Tech.Ms. Ashley R. Taylor, Virginia Polytechnic Institute and State University Ashley Taylor is a doctoral student in engineering education at Virginia Polytechnic and State University, where she also serves as a program assistant for the Center for Enhancement of Engineering Diversity and an advisor for international senior design projects in the Department of Mechanical Engineering. Ashley received her MS in Mechanical
major.Research QuestionsThrough this project, we hope to better support first-year aspiring engineering students,especially those from underprepared backgrounds. We hope to accomplish this by providingincreased academic and emotional support as well as integrating first-year aspiring engineeringstudents better into our school’s engineering community earlier in their academic careers. Viathese activities, we hope to retain students’ interest in engineering through this foundationalperiod of study. We will research the following questions, in particular as they pertain to our newsupport program: ● How do we support the development of meaningful relationships for underprepared first- year students within their engineering experience? In order to
started with an NSF grant to support significantrevision in the way we taught the Introduction to Engineering course, changing it from a "talkingheads" tour through disciplines to active engagement in project work that demonstrated theinterdisciplinary quality of most projects, while also showing how each discipline contributed itsexpertise.We went from a one-unit lecture course to a one-unit laboratory course, and then, after a fewyears, added another unit so we could have a one-unit lecture and a one-unit lab each week. Wetracked the student response to each of these changes, but in addition, we tracked the students’demographics, entering expectations, preparation and motivation for studying engineering,commitment and confidence of success.We
book chapters and 12 edited volumes. Her research has been funded notably by NSF and NASA. Between 2004 and 2008, she has co-organized the yearly WebKDD workshops on User Profiling and Web Usage Mining at the ACM KDD conference. She has served on the program committee member, track chair, or senior program committee of several Data mining, Big Data, and Artificial Intelligence conferences, including ACM KDD, WWW, RecSys, IEEE Big Data, ICDM, SDM, AAAI, etc. In summer 2015, she served as Technical Mentor/Project Lead at the Data Science for Social Good Fellowship, in the Center for Data Science and Public Policy at the University of Chicago. She is a member of ACM, ACM SigKDD, senior member of IEEE and IEEE
Governor’s Teaching Fellow for the State of Georgia. She was the inaugural Director of the First-year Seminar program as part of a General Education curric- ular revision at Mercer. Her last three years at Mercer were also spent serving as Director of the program ”Research that Reaches Out,” which integrated research and service by involving faculty and students in real-world problems. As a chemist, Dr. Trogden’s broad interest area is the impact of small molecules on human health. These projects have been applied in research on breast cancer, pregnancy-associated malaria, and metabolic disorders. She has worked with undergraduate student researchers and has pre- sented on Capitol Hill as part of the Council on
RationaleBy way of a multi-week project, give students the opportunity This will allow students to choose a problem that isto analyze and synthesize data/information in the context of a interesting to them and work with real data. Wereal-world problem and to communicate central findings. believe is in-line with current education trends. Simple linear regression is familiar to many studentsPlace a greater emphasis on regression analysis, including and is an essential statistical technique. Most (all?)multiple regression. real problems have more than one
SummerInstitute, the American Academy of Colleges and Universities Project Kaleidoscope and ourinstitutional framework of Engineering Learning (Figure 6) were key to moving forward. Inthese settings, we found supportive colleagues with similar pedagogical philosophies whovalidated our desire to change and offered many concrete ideas for achieving that change.Further, the excellent series of essays titled Transformations (Allen and Tanner, 2009) hasserved as an outstanding resource, with guideposts and specific examples of how to move one’spedagogy toward active learning. We heartily acknowledge that change is an ongoing process.While we have implemented physical design changes to the classroom and we have laid thegroundwork for student-centered learning
Professor in Educational Psychology. She received her B.S. in Chemical Engineering at Texas Tech and Ph.D. in Chemical En- gineering from University of South Carolina. She completed a Fulbright Program at Ecole Centrale de Lille in France to benchmark and help create a new hybrid masters program combining medicine and en- gineering and also has led multiple curricular initiative in Bioengineering and the College of Engineering on several NSF funded projects. c American Society for Engineering Education, 2017The Double Bind of Race and Gender: A Look into the Experiences of Women of Color in EngineeringAbstractTraditionally underserved racial/ethnic groups such as African
industry out of New Orleans for two Fortune 500 com- panies, where his responsibilities included IT disaster recovery from Hurricane Katrina. Previously, he served as an unrestricted line officer in the U.S. Navy onboard a guided missile destroyer and the second Aegis cruiser.Dr. Dante Dionne, Korean Air Dante Dionne is a Senior Innovation Technology Manager at Korean Air. The past 25+ years of his career has centered on management and professional services consulting. Where, he has specialized in lead- ing multi-national project teams in digital business transformation, mobility and innovative technology solutions. Dante received his Ph.D. in Psychology with a focus on Organizational Leadership and an MA in In
impact.The most clear-cut measures of institutionalization are those that demonstrate achievement of, orsignificant progress towards, long-term outcomes. For example, in the long term, we expect tosee significant increases in the representation, retention, and advancement of women faculty,especially women STEM faculty and women faculty of color. We also expect to observeimproved departmental climates and work environments for all faculty. However, neither theNSF nor the UD ADVANCE project leadership expects that the long-term outcomes will beachieved during the lifetime of the grant. In this context, long-term outcomes are those that cantake up to 10 years to achieve and the grant funding is only for 5 years (six, if one adds a oneyear no cost
the approaches to solving the problems but can't give each other the answers. Such mutual learning interaction between students is beneficial because students will either be required to articulate their knowledge of a subject in ways that another student can understand or will profit from getting an alternative perspective from a peer on how to approach a problem.For the author’s courses, students are provided a variety of ways to demonstrate learning of thecourse material. The HW problem sets have typically counted for around 25% of the coursegrade. All courses include a laboratory and/or project component that counts for about 25% ofthe course grade, while two exams and a cumulative final count for the remaining 50%. Sincethe LON
knowledge tended to be more/less confident about theirabilities. The post-test relation suggests an association between knowledge gain and post-testconfidence. In support of this association, a significant correlation was found between overallknowledge gain and overall post-test confidence (r = 0.40, t(25) = 2.2, p = .020). Those studentswith high/low knowledge gain tended to have higher/lower confidence after the program.Research Question 3: Was there a relation between active learning and gains in studentknowledge?Active learning was one of the response categories that emerged from the open-ended questionabout the best part of the pre-engineering program. Particular responses classified as activelearning included individual and group projects
. Professor Bielefeldt’s research interests in engineering education include service-learning, sustainable engineering, social responsibility, ethics, and diversity.Dr. Jacquelyn F. Sullivan, University of Colorado, Boulder Jacquelyn Sullivan has led the multi-university TeachEngineering digital library project, now serving over 3.3M unique users (mostly teachers) annually, since its inception. She is founding co-director of the design-focused Engineering Plus degree program and CU Teach Engineering initiative in the University of Colorado Boulder’s College of Engineering and Applied Science. With the intent of transforming en- gineering to broaden participation, Sullivan spearheaded design and launch of the Engineering
gathering, and also the aspect of a friendly competition during the second phase of the project where they predict and then measure the flow for a modified geometry. 2. In the initial deployments of the exercise, the students were asked to calculate skin friction factor values from the experimental results, and then compare them with values used in the corresponding analytical calculations. This step often seemed to lead to some confusion about which friction factor value should be used for what purpose. As a result, the volume flow rate itself is now used as the basis of comparison between the theoretical calculation and the experiment. The students still need to call upon their knowledge of viscous flow
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.Trevion S. Henderson, University of Michigan Trevion Henderson is a doctoral student in the Center for Higher and Postsecondary Education (CSHPE) at the University of Michigan. He recently earned his master’s degree in Higher Education and Student Affairs at The Ohio State University while serving as a graduate research associate with the Center for Higher Education Enterprise. Trevion also hold’s a Bachelor’s degree in
Paper ID #27494Training Modules for Improved Storage Techniques to Reduce Post-harvestLosses of Maize in Ghana, Work in ProgressMs. Hallie E Supak, Texas A&M University I am a senior undergraduate student at Texas A&M University studying Biological and Agricultural Engi- neering. I have been working with my partner and co-author Victoria Baltazar since May on this project. We are apart of the Post-Harvest Engineering and Education (PHEED) research group under the super- vision of Dr. Janie Moore PhD focusing on post-harvest loss education and improvement in African countries with a special interest in women farmers
are involved in some form of researchactivity throughout their undergraduate matriculation [1], [3]. Studies reveal that participating inundergraduate research venues is notably beneficial towards nurturing academic development andclarifying career options post-graduation [14], [15]. In a follow-up survey conducted by theNational Science Foundation (NSF), 88% of its respondents, which held undergraduate researchpositions, reported significant growth in structuring and conducting a research project, 83%expressed greater confidence in research and professional abilities, and 73% attested awareness ofa graduate school environment [3], [4], [16]. These undergraduate research opportunities,according to Hurtado et al. [2], have further facilitated
urban school district. Of these teachers, 12were math and 11 were science teachers. All teachers were from underrepresented groups.MaterialsA PC-based off-the-shelf commercial flight simulator software, and desktop joystick/throttlewere used by students to fly specially designed “missions” to collect flight data which wereplotted and analyzed using Excel. Several modules with different topics such as similar triangles,potential and kinetic energy, circumference of a circle, have been developed with theincorporation of flight simulation scenarios. Each module consists of a sample lesson with basicconcepts on the covered topic, paper-pencil activities and a flight simulator-based activity.Details of the modules are included in the project website
degreeprograms seek to develop. Much of our conversation in engineering education is about how toget our students to develop the expertise to manage works in this domain through projects,design, etc. These types of problems are increasingly amenable to AI solutions.Working in the complex domain relies on different mental rules than the simple and complexdomains. The reason for this is that problems or systems which can be characterized as complexexhibit behaviors not shared by simple and complicated system. While not an exhaustive list,complex systems exhibit the following characteristics:• Emergence: Out of the interactions between the individual elements in the systems behavior emerges at the level of the system as a whole. Such higher order
. Thus learning strategies modeledin this course influence students’ approach in their other courses, and the learning strategiescourse becomes an environment for social cognitive learning [14]. The fourth area is to applylearning in personal and group practices with an iterative cycle of quality improvement [4]. Inthis cycle, individuals identify their plan for accomplishing a project related to the learning ordevelop habitual practices to support their learning. After engaging with the project or practices,the individuals check or evaluate their effectiveness and determine appropriate actions toimprove or maintain their current effectiveness.Learners reflect on and become aware of what they are learning through periods ofcontemplation and
subject ofsustainability may be one message that provides an engineering focus that may be moreattractive to engineering, especially a focus on resource availability and social inequity. Thisfinding is consistent with results from the “Academic Pathways Study” (NSF ESI #0227558),which showed that female undergraduates saw projects in the broader context of social andenvironmental impact while males typically focused on more technical details [24]. In order todevelop engineering students prepared to address particular sustainability challenges, it isnecessary to diversify the types of outcome expectations of students in engineering. If studentswho choose engineering are not interested in solving these types of problems, the futuresolutions
several projects that address questions of academic pedagogy with a community and contemplative focus. c American Society for Engineering Education, 2018 Fregados pero no Jodidos: A Case Study of Latinx RasquachismoAbstractVery little research has examined the ways that Latinx adolescents might use rasquache forms ofexpression to empower them in their engineering design activities. Even less research has beenconducted on how the assets of Latinx students contribute to the diversification of engineeringepistemologies and to form critically conscious engineers. In this paper, we present whatinvolves Rasquache forms of expression and how it can contribute to a more asset-basedapproach to the teaching
groundsdoes the accumulation of some threshold number of points constitute mastery of the topic athand? Is such a numerical marker valuable to a learner in reflecting on their progress andaccumulated knowledge? The broad answer to such questions is that points are largely arbitrary,varying wildly in meaning across institutions, courses, or even across assignments.Trends in pedagogy have shifted strongly in the direction of more experiential, authentic learningactivities such as project-based and active learning. As the nature of the classroom activity haschanged, important questions have been raised about the efficacy of traditional grading schemes.Separation has been observed between course objectives and assessment practices, and theability of the