are the overarching methods, including cognitive and metacognitivestrategies, that students apply to their learning [11], [12]. Three major approaches to learning are: Surface Learning: extrinsically motivated to meet external requirements to the minimum extent permissible, to enable a student to “get by” and pass the course; Deep Learning: intrinsically motivated, whereby the student engages with the course material in a meaningful way, wants to understand it thoroughly, and seeks additional knowledge about it, and Achieving Learning: extrinsically or intrinsically motivated, where the primary motivation is achieving a high grade, through either a surface or a deep approach, depending on
social justice themes into technical curricula. 1. IntroductionThe purpose of this practice research paper is to underscore the profound need for social andenvironmental justice (EJ) teachings in engineering education, especially at the K-12 level. Inthis study, we evaluate how high school students’ understanding and perceptions ofenvironmental justice shift in response to completing lessons on EJ framed through interactiveStoryMaps. Through these StoryMaps, students were able to engage with real-world multimediatools to understand EJ through the lens of air quality and transportation and evaluate theimplications for their communities and others beyond. This paper builds on prior researchidentifying environmental justice education as a
teamwork, ethics, and the societalcontexts of engineering work, situating these activities within an industry setting gives meaningand motivation to assignments.This paper reports on the structure and mechanisms by which industry has influenced andparticipated in a chemical engineering capstone design course. The need for such participation,the goals and structure of the design project, and the benefits realized by both students andindustry, will be discussed. Findings on how effectively such a collaboration can address ABETEC2000 criteria are presented.The Need to Involve Industry and Practice in DesignA number of researchers use activity theory—that learning happens through immersion in acommunity’s activities—to account for the ways in which
unfortunately, students caneasily lose their understanding of their personal abilities as learners when they feel powerless inthe face of a monolithic factory model of education that appears indifferent to their individualstruggles and successes” [1, p. 15, emphasis in original]. The history of the development of thecurrent factory model of Western engineering education is eloquently explained by Tsai, et al.[1]. This factory-like system is ideologically supported by the metaphorical “pipeline” model ofengineering education, in which students are assumed to enter and exist their educationaljourneys in a uniform manner [2]. However, as Pawley and Hoegh point out, “in a country wherepublic education systems (both K-12 and higher education) still seem
.[11] A. Hachey, S. An, and D. Golding, “Nurturing Kindergarteners’ Early STEM Academic Identity Through Makerspace Pedagogy,” Early Childhood Education Journal, vol. 50, pp. 469–479, 2022.[12] K. Sheridan, E. Halverson, B. Litts, Brahms, L., L. Jacobs-Priebe, and T. Owens, “Learning in the Making: A Comparative Case Study of Three Makerspaces,” Harvard Educational Review, vol. 84, pp. 505-531, 2014.[13] J. Hunt and M. Culpepper, “The Impact of Makerspaces on the Students That Volunteer to Mentor Makers,” in Proceedings of the 2nd International Symposium on Academic Makerspaces, 2017, Case Western Reserve University. No.998.
Education, vol. 43, no. 4, pp. 507-521, 2018.[18] M. Tawde, D. Boccio, and K. Kolack, “Two-year community: Resolving misconceptions through student reflections,” Journal of College Science Teaching, vol. 47, no. 1, pp. 12- 17, 2017.[19] B. J. Zimmerman, “Self-regulated learning and academic achievement: An overview,” Educational Psychologist, vol. 25, no. 1, pp. 3-17, 1990.[20] M. Ceberio, J. M. Almudí, and Á. Franco, “Design and application of interactive simulations in problem-solving in university-level physics education,” Journal of Science Education and Technology, vol. 25, no. 4, pp. 590-609, 2016.[21] A. Hossain, J. Durfee, H. Bae, and K. Larsen, “Teaching an undergraduate dynamics course for
and time commitments. Thus, a system for delivering on-line tutoring forquantitative and computer-intensive courses was developed with the support of an institutionalgrant. In order to evaluate the effectiveness of the added service and to determine methods forimproving it, development and implementation was monitored and evaluated using an actionresearch approach. This paper reports the implementation experience, including the followingcomponents: ≠ A foundational basis for effectiveness of online tutoring through an overview of literature and online tutoring options, ≠ Background about the institutional infrastructure that enables the service, ≠ A presentation of the factors that must be considered in the implementation
included students, was asked to performmanufacturability analysis and redesign of the fuel cell and to design a manufacturing system.The rest of the team consisted of a project manager from WWP, a commercial partner in Bostonwith the PEM fuel cell technology and experience, chemists from both Gonzaga and EasternWashington University, and a small electrical contracting firm.We interviewed and hired four mechanical engineering students to work on the project: threerising seniors and one rising junior. The rising seniors had already acquired much of thefundamental knowledge necessary through their coursework. The rising junior providedcontinuity if the project continued beyond the first year. In general, the students were the topstudents in their
Design Optimization Module for Hierarchical Research and Learning Environment Oktay Baysal, Mehti Koklu, Ahmed K. Noor Aerospace Engineering Department Old Dominion University, Norfolk, VA 23529-0236 E-mail: obaysal@odu.eduAbstractThe present paper describes a learning module on design optimization courses within ahierarchical research and learning network (HRLN). In this environment a knowledgeorganization can be created as a hierarchical learning network to link diverse inter- and trans-disciplinary teams from a consortium of universities, industry, government agencies and theproviders of
physical trace in the brain through physicaldamage or aging, interference caused by inconsistencies with “known” information and new observations,or a lack of retrieval clues.11 As some clues become deeply imbedded, they develop into building blocksfor multiple memories. The ability of a human mind to reconstruct and understand ideas from individualclues long after an idea is “learned” constitutes cognitive learning. Unfortunately, much of the materialstudied in the classroom does not become deeply imbedded and falls into the category of short-termmemory. The process of cognitive learning is complex, not well understood, and varies betweenindividuals. However, there does seem to be a positive relationship between experiences requiringstudent
physical trace in the brain through physicaldamage or aging, interference caused by inconsistencies with “known” information and new observations,or a lack of retrieval clues.11 As some clues become deeply imbedded, they develop into building blocksfor multiple memories. The ability of a human mind to reconstruct and understand ideas from individualclues long after an idea is “learned” constitutes cognitive learning. Unfortunately, much of the materialstudied in the classroom does not become deeply imbedded and falls into the category of short-termmemory. The process of cognitive learning is complex, not well understood, and varies betweenindividuals. However, there does seem to be a positive relationship between experiences requiringstudent
physical trace in the brain through physicaldamage or aging, interference caused by inconsistencies with “known” information and new observations,or a lack of retrieval clues.11 As some clues become deeply imbedded, they develop into building blocksfor multiple memories. The ability of a human mind to reconstruct and understand ideas from individualclues long after an idea is “learned” constitutes cognitive learning. Unfortunately, much of the materialstudied in the classroom does not become deeply imbedded and falls into the category of short-termmemory. The process of cognitive learning is complex, not well understood, and varies betweenindividuals. However, there does seem to be a positive relationship between experiences requiringstudent
particular content (Al Afnan, 2023). Additionally, it canlessen workloads by automating some processes for teachers and students, like gradingassignments and giving feedback to students (Baidoo-Anu & Owusu Ansah, 2023). ChatGPT canhelp academics and researchers find pertinent research papers, studies, and articles based onparticular keywords and topics in addition to offering services to analyze large amounts of data togenerate comprehensive responses not always apparent through conventional methods (Halaweh,2023). Despite these benefits, ChatGPT may provide inaccurate or irrelevant results due to itslimited contextual understanding of a given topic. Additionally, it may be biased due to the datathat was supplied to train the program, which
- kee School of Engineering) on commercializing new technologies through Lean Startup training. He is a co- founder of the UWM Student Startup Challenge program and a UWM faculty mentor of the Stanford d.school’s University Innovation Fellows program. He was also a UWM team lead for the NSF-funded Pathways to Innovation Program.Mr. Brian D. Thompson, University of Wisconsin, Milwaukee Brian Thompson is President of the UWM Research Foundation, Inc. He leads efforts by the UWM Research Foundation to bridge between the University of Wisconsin-Milwaukee and the private sector through programs that include catalyst grants and intellectual property management as well as fostering corporate partnerships, spinout companies
chat room. LDDI has established its own website as well as a 501 c(3) non-profit corporate identity outside of the University. The creation of LDDI, Inc. provides a meansto obtain working capital through various fundraising efforts and streamline procurement andtravel expenses outside of university requirements. This working capital is used to directlysupport LDDI’s primary goal of improving land development design education. Organization ofthe LDDI group has resulted in the creation of three major committees: Curriculum and CourseEnhancement, Outreach, and Practitioner Involvement.The major objective of the Curriculum and Course Enhancement Committee is to develop a
R’ Us, Home Depot, Sears and the wireless charging system recently released for Tesla vehicles through Plugless Power. His specialties include systems engineering, design, and project management for new product development. He holds a Bachelor’s degree in Engineering with a Mechanical Specialty (’04) and a Master’s degree in Engineering with a Systems Specialty (’09), both from the Colorado School of Mines.Dr. Kristine R. Csavina, Colorado School of Mines Dr. Kristy Csavina is a Teaching Professor in the Department of Mechanical Engineering at the Colorado School of Mines. She has her bachelors degree in Mechanical Engineering from the University of Dayton and her doctorate in Bioengineering from Arizona State
continuing volatility as non-renewable resources dwindle. Solutionsmust come not only from technical innovation, but also through changes in business practices,legislation, and personal choices. Individuals in all walks of life will be affected by the changingworld energy situation. This project has the potential to elevate students’ comprehension of thecomplete energy picture, and to give them tools that will remain relevant and useful throughouttheir lives and careers.Bibliography1. Deffeyes, Kenneth S., Beyond Oil: A View from Hubbert’s Peak (paperback ed.), Hill and Wang, 2006.2. Hayden, Howard C., The Solar Fraud: Why Solar Energy Won’t Run the World (2nd ed.), Vales Lake Publishing, 20043. Kraushaar, Jack J., Ristinen, Robert A
Needham, Massachusetts. Stein’s research spans the fields of artificial intelligence, programming lan- guages, human-computer interaction, and engineering and computer science education. c American Society for Engineering Education, 2017 Cargo cults and cognitive apprenticeships: Two frameworks for adopting unfamiliar curricular culturesAbstractThis theory paper suggests a contrasting pair of frames through which to view faculty attempts toadopt curricular cultures, as when introducing new pedagogies into courses. Attempts that use acargo cult framing treat novel pedagogies as writ, copying practices without interrogatingunderlying meaning. In contrast, attempts that use a cognitive
. Robertson, A. D., Scherr, R., & Hammer, D. (Eds.). (2015). Responsive teaching in science and mathematics. Routledge.11. Merriam, S. B. (1998). Qualitative research and case study applications in education.12. Charmaz, K. (2006). Constructing grounded theory: A practical guide through qualitative research. Sage: London.13. Strauss, A., & Corbin, J. (1994). Grounded theory methodology. Handbook of qualitative research, 17, 273-85. AppendixAll Categories of Learning Assistant Noticing Noticing students’ ideas and Noticing social dynamics and the Noticing own learning practices in thermodynamics learning environment 1. Students’ intense focus on 13. Benefit of
‐long learners?," Journal of Engineering Education, vol. 95, no. 3, pp. 195- 204, 2006.[2] R. Lacuesta, G. Palacios, and L. Fernández, "Active learning through problem based learning methodology in engineering education," in 2009 39th IEEE Frontiers in Education Conference, 2009: IEEE, pp. 1-6.[3] M. Christie and E. De Graaff, "The philosophical and pedagogical underpinnings of Active Learning in Engineering Education," European Journal of Engineering Education, vol. 42, no. 1, pp. 5-16, 2017.[4] A. J. Bobilya, K. R. Kalisch, and B. Daniel, "Participants’ perceptions of their Outward Bound final expedition and the relationship to instructor supervisory position," Journal of Experiential
). Sydney, Australia: IEEE.10. Cole, D.J., Ryan, C.W., & Fran, K. (1995). Portfolios across the curriculum and beyond. Thousand Oaks, CA: Corwin Press.11. Cyr, T., & Muth, R. (2006). Porfolios in doctoral education. In P. Maki & N. Borkowski (Eds.), The assessment of doctoral educational (pp. 215-237). Sterling, VA: Stylus.12. Strivens, J. (2007). A survey of e-pdp and e-portfolio practice in UK Higher Eduction. Higher Education Academy. Retrieved from http://www.recordingachievement.org/higher-education/articles.html13. Lorenzo, G., & Ittleson, J. (2005). An overview of e-portfolios. Retrieved from http://www.educause.edu/LibraryDetailPage/666?ID=ELI300114. Delandshere, G., & Arens, S. A
hungry for this type of professional development,which includes guidance on networking and initiating conversations. They appreciate theopportunity to explore career path options beyond the traditional roles in higher education.Limitations of this work include the lack of long-term post bootcamp assessment to determinewhether the mindset shift persists in graduate student thinking and attitudes about their careers.The authors have plans to address this limitation through a structured IRB-approved study forfuture offerings of this workshop.Conclusions and Future RecommendationsThe Customer/Career Discovery Bootcamp has proven to be an innovative and transformativeprofessional development program for graduate students at UWM and MTU. By
in a number of K-20 educational initiatives designed to increase and broaden participation in STEM fields.Carissa B. Schutzman (Senior Research Associate)Keren Mabisi © American Society for Engineering Education, 2022 Powered by www.slayte.com Description, assessment, and outcomes of three National Science Foundation Research Traineeship (NRT) components: transferable skills course, interdisciplinary research proposal and project, and multidisciplinary symposium1. IntroductionThe University of Kentucky (UK) NRT aims to enhance graduate education by integratingresearch and professional skill development within a diverse
of deep learning and long-term retention of important concepts. Studentsin traditional classrooms acquire most of their “knowledge” through classroom lectures andtextbook reading. A troubling fact is, after instruction, students often emerge from our classeswith serious misconceptions [2] - [6].A significant body of educational research supports the fact that students must be functionallyactive to learn [7] - [9]. Furthermore, Koballa, Kemp, and Evans [10] note that "ALL studentsmust become scientifically literate if they are to function in tomorrow's society" (p. 27).Scientific literacy is of critical importance for all students at all educational levels.The National Science Education Standards [11] strongly emphasize that inquiry
MethodologyFor the current study, qualitative research methodology was chosen to better understand the livedexperiences of CEAS FGS and how they persisted to graduation. Semi-structured interviewswere conducted with interview questions that aligned with the STEM FGS literature.Questions were also aligned with the theoretical frameworks of integration and departure,involvement, and intersectionality.Eligible participants (n=509) in this study were initially defined as currently-enrolled FGS in aCEAS bachelor’s degree program with 90 or more semester credits completed or graduates ofCEAS within one calendar year. Eligible participants were contacted through their universityemail account and invited to participate in the study, with a gift card to an
Social,” 2013, pp. 1–6.[8] R. P. Loweth, S. R. Daly, A. Hortop, E. A. Strehl, and K. H. Sienko, “An in-depth investigation of student information gathering meetings with stakeholders and domain experts,” Int. J. Technol. Des. Educ., vol. 32, no. 1, pp. 533–554, Mar. 2022, doi: 10.1007/s10798-020-09595-w.[9] S. Sheppard, A. Colby, K. Macatangay, and W. Sullivan, “What is Engineering Practice?,” J. Eng. Educ., vol. 22, no. 3, pp. 429–438, 2006.[10] J. J. Duderstadt, “Engineering for a Changing World,” in Holistic Engineering Education: Beyond Technology, D. Grasso and M. B. Burkins, Eds., New York, NY: Springer, 2010, pp. 17–35. doi: 10.1007/978-1-4419-1393-7_3.[11] A. B. Diekman, E. K. Clark, A. M. Johnston, E. R. Brown
-thons. Although competitions are becoming popular, thereis little research on what students learn through their participation in these events. Proponentsof competitions argue that these activities provide students the opportunity to apply bothtechnical and professional skills and knowledge to a practical or applied problem and throughtheir participation improve their skills or knowledge, i.e. learn. To empirically examine thisissue we conducted a qualitative study in one engineering competition. We examinedstudents’ experiences of developing professional skills. The purpose for this study was tounderstand how students conceptualized professional skills as they engaged in thecompetition. Findings indicated that professional responsibilities were
Engineering Clinic: teaching engineering design and technicalcommunication. New assessment results quantifying student success on the entrepreneurialprojects, both in terms of developing student interest at the beginning of the semester and inconvincing faculty at the end of the semester that a project merits additional effort in the junioryear, will also be presented.I. Background and IntroductionProject-based learning has been gaining popularity in engineering curricula to address theprofessional skills component (or A-K criteria) introduced by ABET in the 2000 criteria2. TheCollege of Engineering at Rowan University has adopted an eight-semester sequence of courses,known as Engineering Clinics, which are integrated through the curriculum for all
involves recognition that ELI is grounded in technicalexpertise, similar to the first orientation from Rottman, Sacks and Reeve in their study ofpracticing engineers in the Toronto area [11]. In this category, students focused on the need foran engineering leader to provide knowledge and support and provide that support withconfidence. Other categories identified in the initial theory development work includedemploying an analytical approach to dissecting problems, bringing a breadth of understanding tothese problem solving efforts, and a willingness to engage in problems beyond their comfortzone. This last theme was often grounded in growth from experiences with failure. Figure 2contains a word cloud depiction of some of the most common words
group of faculty who have an interest through research, teaching,and/or service in at least one of the three pillars of sustainability – social, economic, andenvironmental aspects of sustainable systems. This PLC will replace the Faculty AdvisoryNetwork on Sustainability, previously a program in the Office of Sustainability at [theuniversity]. The purpose is integrating sustainability in teaching, curriculum development,service learning, and faculty research by creating a network of faculty experts on campus in acollaborative environment. We will start by reviewing the United Nations SustainableDevelopment Goals (SDGs) https://sdgs.un.org/goals and then consider how we can advancesustainability goals at [the university] and how to prepare [the