had seen the educational value of these toys and had written about them.Thus, he decided to write this paper to share his findings about these toys and theirpotential in education.Fluids ToysThree inexpensive novelty toys that display an array of fluid mechanics phenomena areshown in Figure 1. They cost $7 to $11 each, and are available through online storesspecializing with science and educational kits and at science museum gift shops26. Thecommon tread among these toys is that the fluid motions they display are driven bydensity difference between the fluids (or other substance) contained in them. The toyscould be used in a variety of educational settings, including class demonstrations toenhance lectures and student understanding, design
inspiring prospective and current students to be successful engineers,and by continuing engagement with alumnae in engineering industries. CPP WEpromotes a close community for female engineering students through proactiveretention activities and seeks to create an environment in which women can thrive inthe classroom and beyond in their careers. 16There are four program outcomes of CPP WE that focuses on K-12 students,prospective students, current students and alumni. 17The purpose of the CPP WE Advisory Board is to advance the mission and outcomesof CPP WE to enhance recruitment, retention
Technology and Kiambu Institute of Science and Technology, as well as Head of Subject, Physics at Kenyatta High School. The combination of my teaching and data analysis skills earned me a position at a child and women rights community-based organization, Champions of Peace-Kisumu (CoP-K), as a capacity building coordinator, a precursor to my new action-research interest. With work experience spanning engineering industry and teaching in technical and vocational education and training institutions, my research centers on underrepresented (URM) groups with a focus on efforts to advance solutions on broadening participation in engineering spaces, both in college and the workplace.Dr. Whitney Gaskins, University of Cincinnati
on engineering. I knew that as I get closer to 40 or 50 [years old] I wouldn’twant to be bending down turning wrenches” as he was doing in the military. B5MME was alsoattracted to the potential financial stability offered through an engineering pathway, saying thathe was quite strategic in selecting the Marines Corps; he felt that his work as an AviationMechanic would provide him with a solid foundation for moving beyond “blue collar” work.A2MME’s frames his time in the military as “grunt work”, describing himself as a “0311Infantry Rifleman, just a regular old gunslinger, grunt, ground powder. He said his “job was notvery technical; a lot of times, I was just a body, I was just there, I just take orders, I do what I’mtold.” He described
Education Department andthe Louis Stokes Alliance for Minority Participation (LSAMP) funded by the National ScienceFoundation. The goal of AC2 is to increase the number of underrepresented students pursuingcareers in science, technology, engineering, and mathematics (STEM). Through a variety of bestpractices, the program provides students with the necessary support to gain STEM experienceand complete degrees in STEM. The program serves approximately 125 students from freshmanyear through graduation and beyond. On average, students graduate within 4.5 years with aSTEM degree and roughly 60-65% of students graduate with at least one internship or researchexperience.Since 1998, the AC2 Program at SUNY New Paltz has hosted a five-week Summer
artificial intelligence to computer science education contexts.Talia Goldwasser, SageFox Consulting Group Talia Goldwasser is in her third year as a member of the data team at SageFox Consulting Group, where she is responsible for creating and maintaining a number of equity-related data visualizations used by clients. Talia graduated from Smith College in 2021 with a degree in Mathematics.Rebecca Zarch, SageFox Consulting Group Rebecca Zarch is an evaluator and a director of SageFox Consulting Group. She has spent almost 20 years evaluating and researching STEM education projects from K-12 through graduate programs.Dr. Alan Peterfreund, SAGE Alan Peterfreund is Executive Director of SageFox Consulting Group, an education
refereed research conference articles, and 20 refereed pedagogical conference articles. As a PI or Co-PI, Traum has attracted over $841 K in funding for research, education, and entrepreneurial ventures from multiple sources including NSF, NASA, ASHRAE, AIAA, Sigma Xi, the Texas State Energy Conservation Office, and several industry sponsors including Toshiba and Oshkosh. Most recently as Associate Professor and Director of Engineering Programs at Philadelphia University, Dr. Traum led the Mechanical Engineering Program through a successful ABET interim visit resulting in no deficiencies, weaknesses, or concerns. Previously, Dr. Traum was an assistant professor at the Milwaukee School of Engineering (MSOE), one
- sity and Director of the FACE Lab research group at Purdue. In his research, Hynes explores the use of engineering to integrate academic subjects in K-12 classrooms. Specific research interests include design metacognition among learners of all ages; the knowledge base for teaching K-12 STEM through engi- neering; the relationships among the attitudes, beliefs, motivation, cognitive skills, and engineering skills of K-16 engineering learners; and teaching engineering. c American Society for Engineering Education, 2018 “But, what do you want me to teach?” Best Practices for Teaching in educational Makerspaces (RTP)IntroductionMakerspaces, a conception of
then performed by solving the system. Using a computer algebra system and a set of thepertinent equations to relate all the archetype’s variables, the algorithm iterates through all theunknown parameters and solves for all that may be found with the given set of inputs. Acomputer algebra system is used in this way, not simply to find such solutions but also to mayout those solutions step-by-step in a human-readable format. The outcome of such a randomizedalgorithm is not guaranteed and must be tested for correctness. For example, a randomlygenerated set of problem inputs might all be linearly dependent and not lead to any solvablevalues. The problem may be over-constrained, under-constrained, or unreasonably simple. Thealgorithm iteratively
using motivation and related frameworks to study student engagement in learning, recruitment and retention in engineering programs and careers, faculty teaching practices and intersections of motivation and learning strategies.Dr. Cheryl Carrico P.E., Virginia Tech Cheryl Carrico is a research faculty member for Virginia Tech. Her current research focus relates to STEM career pathways (K-12 through early career) and conceptual understanding of core engineering principles. Dr. Carrico owns a research and consulting company specializing in research evaluations and industry consulting. Dr. Carrico received her B.S. in chemical engineering from Virginia Tech, Masters of Engineering from North Carolina State University
specific training instruction, through interaction with a system and through watchingothers interact with a system.”20 Since the opportunity for instruction regarding a proposedsolution or interaction with it are quite limited during the design stage (afforded primarily Page 9.1239.5through simulation models, analytical models, or prototypes), the designers and anyone else with Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright © 2004, American Society for Engineering Educationinput to the design decisions will have correspondingly limited mental models
andMaster Database system such SAP or Oracle include provisions for a knowledge-based, multi-level integrated architecture for information flow/processing across all stages of manufacturingfrom oxide growth chamber simulations through controller and supervisory levels to theenterprise level4,5,10,11,12,13,14,15,18,26,31,36,38,39,40,41,42,43,44,45,46,47.Specifically, in the context of semiconductor manufacturing, data analysis and data mining arethe basis for quality control assurance, prediction of time to failure, raw material needs,inventory control, executive report generation, etc. In the context of our multi-level informationsystem architecture, data analysis and filtering must take place at all levels. Basically, raw datais modeled into a
data in engineering education.Participatory qualitative methods represent a range of methodologies where research participantshave authority and agency in the research process beyond providing researchers with data. Oneform of participatory research is community-based participatory action research, whereresearchers and participants work together in all aspects of the research process – from researchdirection and design to conducting a study, analyzing results and disseminating those results [7],[8]. Participatory research also encompasses designs that include participants in one or moreaspects of the research process e.g. data analysis. Participatory research is an important way forresearchers to decenter their own perspectives and center
Direc- tor of Graduate Business Student Services at the W. P. Carey School of Business where she oversaw the Full-time MBA program. Before relocating to Arizona she taught pre-K through sixth grade and also as a high school athletics coach. Hope has a Master of Higher and Post-Secondary Education from Arizona State University and Bachelor of Science degree in Elementary Education with a minor in Early Childhood Education from Montana State University. She held several positions on the Graduate Business Student Services Association board concluding her tenure as the chair. Hope’s passion is to help children change their lives and impact the world around them through meaningful, real world education.Dr
economic challenges were one of themain characteristics of the time including, but not limited to, individuals losing their jobs,increased financial strain on households, and finding supplementary working responsibilities tomeet financial needs. These challenges have negatively impacted minoritized populations the mostand these difficulties were further compounded for those studying engineering through theadditional stress beyond academic rigor [2].While there is literature examining the quantitative data associated with the socioeconomic statusof engineering students, there is a lack of research examining the complex experiences associatedwith these numbers within the pandemic's context [3]. This paper explores the experiences ofminoritized
, to enter today’s workforce” (italics added).4 This is a situation that is hardly unique toengineering and concerns about gaps and mismatches between university education andprofessional practice are common in many fields including K-12 teaching, medicine, and law.Because of perspectives like this from ‘industry representatives,’ we were hopeful that we wouldfind willing research partners in industry who saw the value of this research for, if not directlyclosing the gaps between university education and professional practice, at least getting a clearer,empirically grounded understanding of these gaps. We and our research collaborators at anotheruniversity went into this study with combined decades of ethnographic fieldwork experience inother
experiments at home. The key features of the PICkitTM are listed in Table 1. The PICkitTM has ramifications beyond the robot lab in that students now OWN a complete low-level embedded systems kit for extracurricular projects. Figure 1. The PICkitTM 1 Flash Start Kit programmer/evaluation board from MicrochipTechnology, Inc.. The right side of the board is the unpopulated serial communication circuit. Table 1. Features of the PICkitTM programmer. Programs 4 different PIC MCU’s Compatible with MPLAB Self powered from USB Unpopulated serial comm. circuit
Grades K-12As stated in NASA’s mission, in order to “inspire the next generation of explorers,” NASA hascreated a wide spectrum of education programs to provide opportunities for all levels ofeducation including grades K-12.6.1. NASA Student Involvement ProgramThe NASA Student Involvement Program (NSIP) attracts children and teenagers from grades K-12 and links them directly with NASA's diverse and exciting missions of exploration, research,and discovery. The NSIP program organizes national competitions annually in six areas,including My Planet, Earth; Science and Technology Journalism; Aerospace TechnologyEngineering Challenge; Design a Mission to Mars … and Beyond; Watching Earth Change; andSpace Flight Opportunities. These competitions cover
means of improving student performance.Scaffolding and Pattern RecognitionScaffolding is a documented pedagogical technique in which the teacher assists a learner in ac-complishing a task currently beyond the learner’s abilities, by reducing the degrees of freedomof the problem or by demonstrating partial solutions to the task at hand [26]. ML methods canbe used to identify which axes of a problem are best kept hidden for the student and which arebest utilized to teach a problem solving technique. Furthermore, one of the major tools for rein-forcement of learning is through pattern recognition. Completing repetition of the solution processhelps students retain the information, but it is not without fault. Specifically, students have a
in the Department of Engineering Education and Leadership at the University of Texas at El Paso. As an NSF Graduate Research Fellow, she received her M.S. and Ph.D. in Mechanical Engineering, with a concentration in Biomechanics, from The University of Texas at Austin. An engineering education researcher, her work focuses on enhancing engineering students' motivation, exploring engineering identity formation, engineering faculty development, developing integrated course sequences, and methods for involving students in curriculum development and teaching through Peer Designed Instruction. Dr. Kendall's scholarship emphasizes the professional formation of engineers, specifically through the development and application
undergraduate chemical engineering students are rarely exposed todrug delivery through their coursework. To provide students with the skills directly relevant tothe evolving needs of the pharmaceutical industry, this project will develop and integrate applieddrug delivery coursework and experiments throughout the Rowan Engineering curriculum.To design and produce a new drug delivery system, an engineer must fully understand the drugand material properties and the processing variables that affect the release of the drug from thesystem. This requires a solid grasp of the fundamentals of mass transfer, reaction kinetics,thermodynamics and transport phenomena. The engineer must also be skilled in characterizationtechniques and physical property testing of
Paper ID #37282Professional Shame amid Faculty-Student InteractionsJames L. Huff (Associate Professor) Dr. James Huff is an Associate Professor of Engineering Education and Honors College Faculty Fellow at Harding University. He conducts transdisciplinary research on identity that lies at the nexus of applied psychology and engineering education. A recipient of the NSF CAREER grant (No. 2045392) and the director of the Beyond Professional Identity (BPI) lab, Dr. Huff has mentored numerous undergraduate students, doctoral students, and academic professionals from more than 10 academic disciplines in using
.[17] Vossoughi, S., & Bevan, B. (2014). Making and tinkering: A review of the literature. National Research Council Committee on Out of School Time STEM, 1-55.[18] Martin, L., Dixon, C., & Betser, S. (2018). Iterative design toward equity: Youth repertoires of practice in a high school maker space. Equity & Excellence in Education, 51(1), 36-47.[19] Hsu, Y. C., Baldwin, S., & Ching, Y. H. (2017). Learning through making and maker education. TechTrends, 61(6), 589-594.[20] Bucks, G. W., Ossman, K. A., Kastner, J., & Boerio, F. J. (2015, June). First-year engineering courses effect on retention and workplace performance. Proceedings of the 122nd ASEE Annual Conference and Exposition
Sustained Participation in Engineering,Computing, and Technology (RESPECT), 2022.[6] P. Ruiz, K. Mills, Q. Burke, and M. Coenraad, “Teacher and Student Empathy Interviews asan Instrument for Considering More Inclusive K-12 Computing Pathways,” 2021 Conference onResearch in Equitable and Sustained Participation in Engineering, Computing, and Technology(RESPECT), 2021.[7] C. Pannier, C. Berry, M. Morris, and X. Zhao, “Diversity and Inclusion in Mechatronics andRobotics Engineering Education,” ASEE Annual Conference & Exposition, 2020.[8] P. Ordóñez, H. Ortiz-Zuazaga, and J. Ramírez-Lugo, “Broadening Participation inComputing through a Biology Summer Research Experience for Undergraduates,” 2020Research on Equity and Sustained Participation in
-unequal/[12] Witham, K. Malcom-Piqueux, L. M., Dowd, A. C., & Bensimon, E. M. (2015). America’sunmet promise: The imperative for equity in higher education. Washington, DC: Association ofAmerican Colleges and Universities.[13] Yosso, T. J. (2005). Whose culture has capital? A critical race theory discussion ofcommunity cultural wealth. Race ethnicity and education, 8(1), 69-91.[14] Samuelson, C. C., & Litzler, E. (2016). Community cultural wealth: An assets‐basedapproach to persistence of engineering students of color. Journal of EngineeringEducation, 105(1), 93-117.[15] Lord, S. M., Ohland,M. W., Layton, R. A and. Camacho, M. M. (2019) Beyond pipeline and pathways: Ecosystem metrics, J. Eng. Educ., vol. 108, no. 1, pp. 32–56.[16]Lee,W. C
reuse opportunities including toilet flushing in the adjacent buildings and surficialirrigation of the surrounding lawn.In addition to the hands-on component (the pilot plant), the students had to produce a preliminarydesign for a full-scale system implementation within the campus, as well as develop anoutreach/educational program, and on top of that, to address the educational component of thisproject, the students developed lab handouts for undergraduate students, and research questionsthat could be pursued at different educational levels (high school through graduate level).ResultsThe technology selected was a living machine, known as Tidal flow wetland patented by Austinand Lohan [5]. The built system, shown in Figure 1, exemplifies a
Africa, Asia, and Central America to provide much needed educational content to entire classrooms using picoprojectors. In 2008, he established Class on a Chip, Inc. to commercialize an array of micro-experimental devices for use in engineering, physics, and MEMS classes. In 2014, he established a new class in the Whitacre College of Engineering, Technology Start-up Lab, which takes students through a process to develop their own technology projects for commercialization. Each summer, he teaches a class entitled Solar Energy, which includes a hands-on solar energy design project. Dr. Dallas has served as the principal investigator for two National Science Foundation sponsored Scholarships in STEM (S-STEM) projects, a
benefit from the implementation of a solar energy system? Do you foresee any hurdles? Are there any possibilities for expansion beyond your initial plans?Life Cycle Assessment 1. What is a product life cycle and what are its main phases? 2. Describe the four steps in performing life cycle assessment (LCA). 3. How do you achieve the life cycle simulation
collaborative and cooperative learning have been widely tested in various classroomexperiments and show evidence of effectiveness (Coccoli, Stanganelli, & Maresca, 2011;Freeman et al., 2014; Sein-Echaluce, Fidalgo-Blanco, & García-Peñalvo, 2016; K. A. Smith,Douglas, & Cox, 2009; Stump, Hilpert, Husman, Chung, & Kim, 2011). A collection of reviewarticles on collaborative learning collectively looked at over 200 studies (Johnson & Johnson,1989; Johnson et al., 1998; Springer, Stanne, & Donovan, 1999). They found that collaborativelearning (compared to individual learning) improved academic achievement, quality ofinterpersonal interactions, self-esteem, perceptions of social support, student attitudes, likingamong students, and
post of Faculty Director of Teaching and Learning, Faculty of Engineering, Science and Social Sciences at Canterbury Christ Church University. His current research spans self, co, and socially shared regulation, Computer orchestration, Generative Artificial Intelligence for research and teaching and learning within engineering education. He also trains researchers in systematic reviews, meta-analysis and other research methods and has recently helped supported 100+ colleagues with their GenAI literacy through his signature prompting techniques.Lawrence R Chen, McGill University Lawrence R. Chen received a BEng in electrical engineering and mathematics from McGill University and an MASc and PhD in electrical and