learning goals for pre-college engineering are stillbeing contested. One argument, which is promoted in science standards, is that engineeringdesign provides an authentic context to apply science concepts [4] [5] [6]. However, others arguethat this represents too narrow a view of engineering and promotes misconceptions [7] [8]. Inresponse to these concerns, the American Society for Engineering Education (ASEE) andAdvancing Excellence in P12 Engineering Education introduced a Framework for P-12Engineering Learning [9]. This framework outlines learning goals for engineering literacy thatmove beyond a narrow focus on practices, including engineering habits of mind and knowledge.In addition, the authors call for further research to scaffold learning
students’engagement and factors they consider when making engagement decisions through a compilationof survey items from multiple co-curricular engagement surveys and frameworks [12], [13], [18].In future work of this project, findings from the pilot survey will be used to prototype the co-curricular engagement guide. To further explore engagement decisions of the student population,stakeholder interviews will be conducted and inform iterations of the engagement guide, thusimproving its usability and potential adoption as a resource.Study Context. The student population studied is an undergraduate engineering population at amid-Atlantic research institution. Majors that students can enroll in include biomedicalengineering, chemical engineering, civil and
University Alexandra Jackson is a second year PhD student at Rowan University seeking a specialization in Engi- neering Education. She began her research in Rowan’s Experiential Engineering Education Department in the Fall of 2019, and has developed interests in entrepreneurial mindset and student development. In particular, she is interested in assessment of entrepreneurial mindset through both quantitative and quali- tative methods, and is currently working in both survey and concept map assessment. She was awarded an NSF Graduate Research Fellowship in April, 2022, and hopes to continue her research in entrepreneurial mindset assessment using narrative inquiry.Dr. Cheryl A. Bodnar, Rowan University Dr. Bodnar is an
, 2005, doi: 10.1002/j.2168-9830.2005.tb00832.x.[2] J. P. Martin, S. D. Garrett, S. G. Adams, and J. Hamilton, "A qualitative look at African American students’ perceptions of developing engineer of 2020 traits through non- curricular activities," presented at the 2015 ASEE Annu. Conf. Expo., Seattle, WA, USA, Jun. 14-17, 2015.[3] C. A. Smith, H. Wao, G. Kersaint, and R. Campbell-Montalvo, "Social capital from professional engineering organizations and the persistence of women and underrepresented minority undergraduates," Front. Sociol., vol. 6, p. 671856, 2021.[4] J. P. Martin, R. A. Revelo, S. K. Stefl, S. D. Garrett, and S. G. Adams, "Ethnic student organizations in engineering: Implications
and V. Tinto, “Moving beyond access: College success for low-income, first- generation students.,” Pell Institute for the Study of Opportunity in Higher Education, 2008.[5] S. D. Museus, R. T. Palmer, R. J. Davis, and D. C. Maramba, “Racial and Ethnic Minority Students’ Success in STEM Education.,” ASHE Higher Education Report, vol. 36, no. 6, pp. 1–140, 2011, doi: 10.1002/aehe.3606.[6] T. Melguizo and G. Wolniak, “The Earnings Benefits of Majoring in STEM Fields Among High Achieving Minority Students,” Research in Higher Education, vol. 53, no. 4, pp. 383– 405, Jun. 2012, doi: 10.1007/s11162-011-9238-z.[7] M. Jury, A. Smeding, N. M. Stephens, J. E. Nelson, C. Aelenei, and C. Darnon, “The experience of low-SES students
," 2010 IEEE Frontiers in Education Conference (FIE), 2010, pp. S3G-1-S3G-6, doi: 10.1109/FIE.2010.5673256. 2. Rahman, F., & Andrews, C., & Wendell, K. B., & Batrouny, N. A., & Dalvi, T. S. (2019, June), Elementary Students Navigating the Demands of Giving Engineering Design Peer Feedback (Fundamental) Paper presented at 2019 ASEE Annual Conference & Exposition, Tampa, Florida. 10.18260/1-2--32699 3. Pintrich, P. R., & De Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82(1), 33–40. https://doi.org/10.1037/0022-0663.82.1.33 4. Pintrich, P. R., Marx, R., & Boyle, R. (1993). Beyond
interest in STEMthroughout their K-12 timelines prior to the decision to obtain an engineering degree.2. BackgroundWhen examining the pathways of engineering students through their K-12 timelines, it becomesnecessary to understand the types of influences present and the impact of the noted influences.Inclusionary practices in STEM have been a topic of great interest, with an increase in researchand activities completed from the perspective of diversity, equity, and inclusion [6]. Historically,gender and race have been primary targets of these initiatives seeking increased diversity inhistorically White-male dominated spaces; just 21.9% of undergraduate engineering studentsidentify as female and 17.1% identify as non-White [7]. Examining gender
courses, all in English, Dr. Quan has a keen interest in employing active learning strategies and inductive teaching methodologies. Beyond content acquisition, he believes in nurturing students’ higher-order thinking and communication skills. At the core of his pedagogical philosophy is a commitment to amplifying students’ learning efficacy and holistic development.Chaoyi Wang, Zhejiang Normal University Assistant ProfessorChenhui Zhang, Self-employed Chenhui Zhang, transitioning from law to education, holds a Master of Laws from Duquesne University in the US and a Bachelor of Law from Southwest University of Political Science And Law in China. Chenhui has been enriching her educational expertise through Coursera
value it inrelation to their future [35], [36]. Engineering interest typically focuses on the emotional orfeelings aspect of interest and includes whether or not a student likes or enjoys the subject [7],[24]. This interest is initiated through a situational interaction between a person and momentary,environmental stimuli. This interest may or may not persist over time and develop into anindividual interest. An individual interest is an interest that exists separate from the initiatingstimuli and describes an abiding desire to engage with the content over time [35]. For this work,engineering and disciplinary interests are interpreted as an established, individual interest sinceparticipants made decisions extending beyond a situational
rely on the growth of technology to improve their researchcapabilities and further their findings within studies. Qualitative research fields, specifically, havebenefitted from growing technology, especially relating data collection (e.g. audio/visualrecordings, transcription services) and analysis (e.g. statistical software packages, word processingtechnology) [1]. However, an area that is underutilized by qualitative researchers is artificialintelligence (AI). AI and its sub-fields present a space for qualitative researchers to build uponexisting research to enhance future studies through computational methods and modeling. In thispaper we will focus on the potential for agent-based modeling (ABM), one such sub-field of AI,to contribute to
the impact of EC2000," ExecutiveSummary, (Center for the Study of Higher Education, The Pennsylvania State University), pp.1-20, 2006.[46] A. Jain, "Data clustering: 50 years beyond k-means," Pattern Recognition Letters, vol. 31,no. 8, pp. 651-666, June 2010.[47] C. B. Zoltowski and W. C. Oakes, "Learning by doing: Reflections of the EPICS program,"International Journal for Service Learning in Engineering, Humanitarian Engineering andSocial Entrepreneurship, pp. 1-32, 2014.[48] T. Carleton and L. Leifer, "Stanford’s ME310 course as an evolution of engineering design,"in Proceedings of the 19th CIRP design conference–Competitive design, 2009.[49] S. R. Barley and J. E. Orr, "Between craft and science: Technical work in US settings,"Cornell
, 2000.[10] National Academy of Engineering, “The engineer of 2020: Visions of engineering in the new century,” Washington, DC, 2004. doi: http://www.nap.edu/catalog/10999.html.[11] L. Jamieson and J. Lohmann, Creating a culture for scholarly and systematic innovation in engineering education. Washington, DC: American Society of Engineering Education (ASEE), 2009.[12] L. L. Long III, “Toward an antiracist engineering classroom for 2020 and beyond: A starter kit,” J. Eng. Educ., vol. 109, no. 4, pp. 636–639, 2020, doi: 10.1002/jee.20363.[13] K. A. Douglas, A. Rynearson, Ş. Purzer, and J. Strobel, “Reliability, validity, and fairness: A content analysis of assessment development publications in major
to provide coaching, scaffoldingaround design projects is justifiable, as learning at the graduate level, above and beyond theengineering fundamentals, and engineering science, to the practical application, the preparationof people, the guidance through a design process, with an artifact produced in the end.Future exploration can do well to make it even clearer of what the people-process-productbalance for be. The expansive iteration to explore both the problem space and solution space ofthe global Design course is to be considered very different than the recursive iteration(successively through making tech to work) of the Smart Product Design course. The authorityfor leaning too can develop self-regulated learners and transfer
,possibly through workshops or mentor-led discussions. These sessions should focus ondeveloping students' skills in negotiation, empathy, and problem-solving within a team context.Additionally, the role of mentors should be expanded beyond subject matter expertise to includethe facilitation of team dynamics. Training mentors in effective communication strategies andinclusive practices will contribute significantly to a supportive and productive researchenvironment. This training can help mentors identify and address potential team issuesproactively, fostering a more cohesive and efficient team.Policies governing URPs should promote the formation of interdisciplinary teams. By bringingtogether students from different academic backgrounds, URPs can
' knowledge anddevelops their ability to apply it effectively beyond their textbooks. Elements of authenticassessments that promote the transfer of KSAs have been theorized [7] but require furtherexamination. Simulation-based learning has been applied to enhance education of variousdisciplines and prepare students to undertake critical decisions, especially in engineering [8]– [10]. As a form of experiential learning, engineering simulations further provides a widerange of opportunities to practice complex skills in higher education to facilitate effectivelearning [11]. Like authentic assessments, simulations have the potential to enhance thetransfer of learning by providing students opportunities to explore real-life conditions and testtheir ideas
peer reviewedjournals and conference proceedings.The literature review drew from various disciplines to look at the relationship between empathyand mindfulness through a holistic lens. The search with the keywords mentioned generatedarticles from disciplines including engineering education, learning sciences, design science, andpsychology. The reviewed papers have been categorized in the following table according todiscipline. After review, the insights have been presented in conversation with each other. Table 1. Literature reviewed in disciplinary categories. Engineering Education 1. Bairaktarova, D., Bernstein, W. Z., Reid, T., & Ramani, K. (2016). Beyond surface knowledge: An exploration of how empathic
, and challenge thecontradictions within authoritative figures and groups. It embraces diverse forms ofcognition, perspectives, worldviews, and belief systems while serving as a liberatory spacefor understanding our multifaceted realities [23]. Nepantla is not merely a framework forexploring conflicting lived experiences, sociopolitical influences, and liberatory journeys butalso a tool for theorizing identity transformation amidst adversity [21].Within Nepantla, we attain la facultad—the ability to perceive beyond surface appearances,delving into the hidden layers of existence [16]. La facultad represents heightened awarenesscultivated through the tumultuous vortex where realities collide. According to Anzaldúa’swritings [21], la facultad
learning, transforming their predisposition towards learning and highereducation, and attitudes for becoming a professional in their discipline (Bamber & Tett, 2010).Three important teaching strategies for ensuring non-traditional student success are: (i) teach thevalue of advanced/higher education, (ii) teach self-worth and empowerment, and (iii) teach thetransformative power of education (Johnson, 2022).One of the pathways that enriches the non-traditional student’s undergraduate experience,thereby also widening pathways beyond graduation, is via undergraduate research. Studies havefound that undergraduates who participate in research obtain better grades and have a higherlikelihood of graduating. It has been proven to improve retention
assessment after an engineering-related learning unit [9].More recently, several studies have used growth mindset interventions on undergraduateengineering students; however, the studies have produced mixed to null effects. Rhee andJohnson’s [10] longitudinal study examining the impact of a growth mindset intervention foundno significant difference in academic performance or retention among women, minoritizedstudents, or Pell-eligible students. Frary [11], who implemented various growth mindset-relatedactivities throughout the semester in her Thermodynamics of Materials course, found that studentsdescribed their approach to learning through the lens of a growth mindset at the end of the semester,which was a shift from their beginning semester
Paper ID #44348Using Generative AI for a Graduate Level Capstone Course Design—a CaseStudyDr. Wei Lu, Texas A&M University Dr. Wei Lu is a Postdoctoral Researcher at the Department of Engineering Technology & Industrial Distribution at Texas A&M University. Her research focuses on Higher Education in Agriculture & Engineering, K-12 (STEM) Education, Communications, MarketingDr. Behbood ”Ben” Ben Zoghi P.E., Texas A&M University Ben Zoghi is the Victor H. Thompson endowed Chair Professor of electronics engineering at Texas A&M University, where he directs the College of Engineering RFID Oil & Gas
on the isentropic compression of a gas. Herrington [13] modified a lab experimentto assist students make better connections between their personal experiences and the definitionsand mathematical equations related to the concept of Specific Heat.This type of research went beyond Specific Heat and covered the broad area of thermal fluidscience to help students master the thermodynamics concepts. Based on their survey results,Robbins and Ardebili [14] saw that after traditional physics instruction many engineering studentshad not emerged with an effective understanding that would prepare them for a course inengineering thermodynamics. Various innovative teaching methods were employed in teachingthis course, such as the active learning method by
: science learning beyond digital/analogue dichotomies,” in EDULEARN19 Proceedings, Jul. 2019, vol. 1, no. July, pp. 5159–5163, doi: 10.21125/edulearn.2019.1276.[15] W. Sung, J. Ahn, and J. B. Black, “Introducing Computational Thinking to Young Learners: Practicing Computational Perspectives Through Embodiment in Mathematics Education,” Technol. Knowl. Learn., vol. 22, no. 3, pp. 443 – 463, 2017, doi: 10.1007/s10758-017-9328-x.[16] M. Blüchel, J. Lehmann, J. Kellner, and P. Jansen, “The improvement in mental rotation performance in primary school-aged children after a two-week motor- training,” Educ. Psychol., vol. 33, no. 1, pp. 75 – 86, 2013, doi: 10.1080/01443410.2012.707612.[17] H. Burte, A
teaching. 2004.[24] G. J. Posner, K. A. Strike, P. W. Hewson, and W. A. Gertzog, "Accommodation of a scientific conception: Toward a theory of conceptual change," Science education, vol. 66, no. 2, pp. 211- 227, 1982.[25] C. Foster, "A slippery slope: Resolving cognitive conflict in mechanics," Teaching Mathematics and its Applications: An International Journal of the IMA, vol. 30, no. 4, pp. 216-221, 2011.[26] K. A. Strike and G. J. Posner, "A revisionist theory of conceptual change," Philosophy of science, cognitive psychology, and educational theory and practice, vol. 176, 1992.[27] P. R. Pintrich, R. W. Marx, and R. A. Boyle, "Beyond cold conceptual change: The role of motivational beliefs and classroom
Process for Energy Audit EducationAbstractThis paper is a work-in-progress (WIP) and an evidence-based practice paper. As efforts todecarbonize buildings increase, energy workforce development efforts are greatly needed to trainthe next generation of professionals. One such program that is training this new energyworkforce is the Department of Energy’s Industrial Assessment Center (IAC) program whichaims to increase the efficiency and productivity of small and medium sized industrial facilitiesand commercial buildings through conducting energy audits. Student training is an integral partof this program, where students participate in all aspects of these audits. However, trainingparticipants to be prepared for field
Education, vol. 98, no. 1, pp. 53–66, Jan. 2009, doi: https://doi.org/10.1002/j.2168-9830.2009.tb01005.x.[2] K. Kelly and B. Bowe, “Qualitative research in engineering education,” ASEE Annual Conference and Exposition, Conference Proceedings, 2011.[3] R. L. Jackson, D. K. Drummond, and S. Camara, “What is qualitative research?,” Qualitative Research Reports in Communication, vol. 8, no. 1, pp. 21–28, 2007, doi: 10.1080/17459430701617879.[4] A. L. Pawley, “Learning from small numbers of underrepresented students’ stories: Discussing a method to learn about institutional structure through narrative,” ASEE Annual Conference and Exposition, Conference Proceedings, 2013, doi: 10.18260/1-2--19030.[5] L. H
and gain confidence as they move through theirundergraduate careers. Ideally, this effect will be measured in future work in two ways. First, bycollected data from students who are not receiving significant training in human-centeredengineering design, and second, by including questions to measure background maturation andincreases in confidence unrelated to engineering design education. Future work will also focuson the generalizability of these items, and their validity beyond our context of use.References[1] C. L. Dym, A. M. Agogino, O. Eris, D. D. Frey, and L. J. Leifer, “Engineering design thinking, teaching, and learning,” J. Eng. Educ., vol. 34, no. 1, pp. 65–65, 2006.[2] Board of Delegates Engineering Area Delegation
insights to educators,policymakers, and curriculum architects, ensuring that future engineers are not only well-versedin their core disciplines but also adept in leveraging AI's expansive capabilities. This researchstudy answers the following research question, “What is the current state, trends, and future ofgenerative AI in undergraduate engineering?” and this will be accomplished through a systematicliterature review (SLR).The SLR included the following phases (I) Explore different academic databases including GoogleScholar, IEEE Explorer, Web of Science, Engineering Village, ERIC, Science Direct, and WileyOnline Library to retrieve articles using the search terms. The search terms include Generative AIor Artificial Intelligence + College
are also presented with challenges that demand a broader scope of considerations dueto digitalization in the field [2]. Thus, engineering has taken on a new dimension that requires amultifaceted approach to the analysis of problems and a sensitivity to the interaction betweenpeople and technical infrastructure. As a universally applicable problem-solving approach, CTcan help engineering students navigate through complex situations. The practice of CTcompetencies (i.e., abstraction, algorithms, problem decomposition, pattern recognition,troubleshooting/debugging) is advantageous for developing analytical ability [3]. Additionally,CT is comprehensive rather than restrictive, as it builds upon computing processes [4]. As such,CT skills are
as well because they only need to attend one event to get lots of information about many schools.In July, a call for participation followed through both the graduate program sub-committee andthe EECHA list. At that time, ten (10) schools had agreed to participate, and other schools weresolicited for participation. Commitment from the schools involved in the event included: ● Providing input on the timing of the event ● Attending a planning meeting for the event ● Providing input on the name of the event ● Providing input on the information collected from prospective students who register for the event ● Volunteering to participate in one of two panels for the event ○ Graduate school application tips
wellbeing. Students were of the view that multipleinstitutional, social, and personal factors contributed to their SWB. For example, institutionalfactors like quality learning experiences offered by their institute, availability of financialresources through their college, the existence of an overall support environment, and engineering 5practice opportunities at their institute helped towards their happiness and life satisfaction. Inaddition, social factors like financial help from home and personal factors like the ability toefficiently organize academic tasks and a unique ability to be oriented towards academic goalsobjectively were also contributing