reconsider the role that spatial skills actuallyplay in training engineers. This paper argues that spatial skills testing and training interventionsare a misuse of the time and energy of people who want to help women and other historicallyexcluded students succeed in engineering. We must reframe our interventions withoutperpetuating deficit models about cognitive abilities like “spatial skills,” a construct which, inspite of its wide popularity in the STEM education community, has been very poorly formulated.References[1] S. G. Vandenberg and A. R. Kuse, “Mental rotations, a group test of three-dimensionalspatial visualization,” Percept Mot Skills, vol. 47, no. 2, pp. 599–604, Dec. 1978, doi:10.2466/pms.1978.47.2.599.[2] M. Peters, B. Laeng
of competence ● Validated and reliable student performanceTo answer the Research Question, teaching can be redesigned to support students in transfertheir knowledge and skills by integrating the transfer of learning and authentic assessmentconcepts displayed in Table 1.MethodologyBased on an undergraduate engineering program at the Singapore Institute of Technology,students are exposed to simulations using finite element analysis (FEA) and computationalfluid dynamics (CFD) as part of their Year 1 engineering foundation [15], [16]. In Year 2, thestudents are taught the Mechanical Simulation (M&S) module to learn how to solve ill-structured
low-income families, we have implementeddiverse support programs, including co-curricular and outreach activities. These initiatives weremade possible through the NSF’s S-STEM grant, awarded to us in August 2022. The project aimsto prepare talented minority and underrepresented students to successfully enter computing-relatedworkforce or graduate program to meet local and national needs, which would be also helpful forincreasing the diversity of computing field. The purpose of this paper is to spotlight our ongoingefforts, provide an overview of the outcomes achieved through these initiatives, and outline ourforthcoming plans for continued support and enhancement.Program Description and Supporting ActivitiesOur S-STEM program aims to empower
-efficacy and engineeringidentity, thereby facilitating the transition of LIAT undergraduates to graduate-level programs;and (3) it aspires to cultivate leaders proficient in technology, entrepreneurship, and innovation,who will contribute to and fortify the economy of the South Coast of New England—a regionnoted for its diversity and post-industrial economic challenges marked by significant poverty.ResultsIn its inaugural year, the AccEL program generated a large applicant pool, with 46% of eligiblestudents applying, the cohort included 8 eligible female students and a substantial number fromunderrepresented racial/ethnic backgrounds. Eight M.S. students were successfully recruited intothe first cohort of AccEL S-STEM scholars, reflecting
technical writing skills in STEMdisciplines is well documented. Solutions have been proposed, implemented, and inconsistently sustained.One approach to improving disciplinary technical writing is through Writing Assignment Tutor Trainingin STEM (WATTS). WATTS is an interdisciplinary, collaborative approach in which STEM faculty workwith writing centers and generalist peer tutors to provide just-in-time assignment-specific feedback tostudents. WATTS research was funded by an NSF IUSE collaborative grant (award #s 2013467,2013496, & 2013541). In WATTS, the STEM instructor collaborates with the writing center supervisorand prepares materials for the tutor-training including assignment examples, a glossary of terms, areas ofconcern, and the
it holds a pivotal position withinthe curriculum. Figures 2b and 2d depict the blocking factors for the courses in the illustratedcurricula.Combining these analyses, we introduce a metric to define the cruciality of a course i, denotedCi , as the aggregate of its blocking and delay factors: Ci = Vi + LiThe curriculum’s overall complexity, S, is then calculated as the sum of the cruciality values forall courses: m X S= Ci (1) 1 (a
length of the data presented. Thisindicates that models optimized with cognitive features are particularly adept at distinguishingbetween binary outcomes. The most accurate predictions were made by ChatGPT 4.0 (as shownin Figure 3(b)), achieving an accuracy of 67% with 2-week data, and improving to 69% accuracyfor both 4-week and 8-week datasets. Nonetheless, when tasked with a more nuanced four-classclassification using only cognitive features, the accuracy across all three datasets falls below50%.The incorporation of background features (C + B) notably enhances binary classificationaccuracy. For example, ChatGPT 4.0’s accuracy for 2-week data improved to 73%, and furtherincreased to 75% and 77% with 4-week and 8-week data, respectively. Gemini
ofstudent GAI use in coursework have been identified, including but not limited to ethical andaccess concerns, the understanding that GAIs are another disruptive technology, and recognizedbenefits for students who use GAIs—though those benefits were weighted against potentiallydetrimental effects. Each represents a potential recommendation and topic to address as thisresearch continues.References[1] S. Makridakis, "The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms," Futures, vol. 90, pp. 46-60, 2017.[2] H.-K. Lee, "Rethinking creativity: creative industries, AI and everyday creativity," Media, Culture & Society, vol. 44, no. 3, pp. 601-612, 2022.[3] X. Zhai, "ChatGPT User Experience: Implications
://www.edtechreview.in/trends-insights/insights/role-of-technology-in-21st-century/[3] N. Duban, B. Aydogdu, and A. Yüksel, “Classroom teachers’ opinions on science laboratory practices,” Univers. J. Educ. Res., vol. 7, no. 3, pp. 772–780, 2019.[4] I. Mutis and R. R. A. Issa, “Enhancing spatial and temporal cognitive ability in construction education through augmented reality and artificial visualizations,” Computing in Civil and Building Engineering, pp. 2079–2086, Jun. 2014, doi: 10.1061/9780784413616.258.[5] M. Fernandez, “Augmented virtual reality: How to improve education systems,” High. Learn. Res. Commun., vol. 7, no. 1, pp. 1–15, Jun. 2017.[6] S. Rankohi and L. Waugh, “Review and analysis of augmented reality literature for
Paper ID #41826Work in Progress: Transformation Course-Based Undergraduate ResearchExperience (T-CURE)Dr. Heather Dillon, University of Washington Dr. Heather Dillon is Professor and Chair of Mechanical Engineering at the University of Washington Tacoma. Her research team is working on energy efficiency, renewable energy, fundamental heat transfer, and engineering education.EC Cline, University of Washington Tacoma Associate Professor in Sciences and Mathematics, and Director of ACCESS in STEM, an NSF S-STEM supported program that supports students in natural science, mathematics, and engineering at UW Tacoma.Dr. Emese
inform future research by synthesizingpast research efforts, identifying findings across studies, and identifying gaps in knowledge. They note that, unlikefields such as medicine and education that seek the efficacy of interventions, engineering education research is arelatively new body of research that draws practices and theories from various disciplines, including cognitivepsychology, education, and engineering. Borrego et al. [13] outlined the steps of a systematic literature review ofengineering education, including a search across recommended databases using key terms, using an iterative processwith a team of researchers to include and exclude research that is either relevant or irrelevant to the researchquestion(s) previously developed
. Educ. Psychol., vol. 99, no. 2, pp. 397–420, 2007, doi: 10.1037/0022-0663.99.2.397.[5] V. Simms, S. Clayton, L. Cragg, C. Gilmore, and S. Johnson, “Journal of Experimental Child Explaining the relationship between number line estimation and mathematical achievement : The role of visuomotor integration and visuospatial skills,” J. Exp. Child Psychol., vol. 145, pp. 22–33, 2016, doi: 10.1016/j.jecp.2015.12.004.[6] V. Crollen and M. Noël, “Journal of Experimental Child Spatial and numerical processing in children with high and low visuospatial abilities,” J. Exp. Child Psychol., vol. 132, pp. 84–98, 2015, doi: 10.1016/j.jecp.2014.12.006.[7] P. G. Clifton et al., “Design of embodied interfaces for
Aquisition USB USB USB 1st / 2nd year Analog IC Design Control Systems Linear Circuits Analog Circuit Analog IC Systems Signal Processing (4th year / Grad) (Grad) (2nd year) (3th year) (Grad) Course Year(s) Course Year(s) Linear Circuits (2nd year) Sp ’19, F ’20 Analog IC Design (4th year/ Grad) F ’15, ’17, ’19, ’21 1st / 2nd year Signal Processing F ’22, Su ’23 Linear Control
LabVIEW. Thisapproach ensures that the pedagogical content is not only current but also relevant to thedynamic nature of industrial technology. Fourteen summer 2022 and eleven summer 2023 ENGT4210 students presented PowerPoint presentations on area industry subjects for APSU. Thetopics covered included IIOT, ISA 95, Digital Twin, Soft PLC, IIOT API, DigitalTransformation, Smart Instruments, Cyber-Physical Protection Systems, Open PLCs, AutomationDevelopment, Digital Sustainability, Augmented Reality, and Automating Automation. In theSpring 2022 Industrial Advisory Board (IAB) meeting, the Engineering Technology IABdiscussed Industry 4.0’s importance in the Clarksville, Montgomery, and Hopkinsville industrialregions. The department continues
. Students establish methodologies for recognizing minerals based on what theyhave learned. From this knowledge, they develop recovery processes motivated by points foreach mineral correctly collected, identified, and accounted for. This can be used as one form ofinsight into the curriculum’s influence on the team’s decision processes and also an indicator ofwhether student learning of science occurred through the use of the structured EDP [30], [32],[33]. The comparison and analysis of the three final days (11,12 and 13) of the curriculumagainst team dialogue is performed.Day 11 Target Group 1 and 2 After preprocessing the conversation for Target Group 1, the result was a 2,824 x20matrix. Target Group 2’s preprocessed conversation produced
practices in US classrooms," Teach. Teach. Educ., vol. 99, p. 103273, Mar. 2021, doi: 10.1016/j.tate.2020.103273[3] M. J. Hannafin, J. R. Hill, S. M. Land, and E. Lee, "Student-centered, open learning environments: Research, theory, and practice," Handbook of Research on Educational Communications and Technology, pp. 641-651, May 2013, doi: 10.1007/978-1-4614- 3185-5_51[4] B. L. McCombs and J. S. Whisler, The Learner-Centered Classroom and School: Strategies for Increasing Student Motivation and Achievement. The Jossey-Bass Education Series. San Francisco, CA: Jossey-Bass Inc., 1997.[5] J. N. Agumba¹ and T. Haupt, "Collaboration as a strategy of student-centered learning in construction technology
and has redesigned the course to include a variety of sustainability and climate change(S/CC) topics situated within the context of social entrepreneurship and wicked problems (WPs).Since 2015, the author has been periodically modifying and improving the course. This paperdescribes the redesign and implementation of this course since 2015, focusing on the sectiontaught in 2023, as the most recent iteration of the course.The course focuses on three overarching topics: 1. Wicked problems (WPs). WPs are defined as very complex problems. They are hard to define and are characterized by having no stopping point, no point in which the problem has been clearly “solved” [1]. Climate change has been described as an example of a WP [2
humanistic approach to engineering education, it is a suitable frameworkto evaluate the impact of sociotechnical engineering courses (i.e., a humanistic approach toengineering education) on students’ attitudes toward and perceptions of engineering.Furthermore, this framework explicitly describes and explains the possible connections betweenstudents’ attitudes toward and perceptions of engineering, making it appropriate for a studyinterested in exploring these relationships. The framework has been used to guide how weconceptualize sociotechnical engineering. The instrument used for this study included items andconstructs that align with all three dimensions of Fila et al.’s [1] framework.MethodsSurvey responses collected from undergraduate
, 2024AbstractThere is substantial opportunity for engineering graduates to enter the workforce to engage in afulfilling career and achieve social mobility. Still, there is a lack of adequate support forlow-income, academically talented students. The purpose of this poster is to describe theinterventions designed to support S-STEM scholarship students at Rowan University in the firstyear of our S-STEM project. Our S-STEM project objectives are threefold: 1) Providescholarships to encourage talented students with low incomes and demonstrated financial need toinitiate and graduate from engineering majors in the College of Engineering at Rowan Universityand subsequently enter the engineering workforce or a graduate program; 2) Develop a supportsystem that
, no. 4, pp. 669–680, 1997, doi: 10.1037/0012-1649.33.4.669.[3] S. Sorby, E. Nevin, A. Behan, E. Mageean, and S. Sheridan, “Spatial skills as predictors of success in first-year engineering,” in 2014 IEEE Frontiers in Education Conference (FIE) Proceedings, Oct. 2014, pp. 1–7. doi: 10.1109/FIE.2014.7044005.[4] Y. Maeda and S. Y. Yoon, “Scaling the Revised PSVT-R: Characteristics of the First-Year Engineering Students’ Spatial Ability,” presented at the 2011 ASEE Annual Conference & Exposition, Jun. 2011, p. 22.1273.1-22.1273.19. Accessed: Dec. 22, 2021. [Online]. Available: https://peer.asee.org/scaling-the-revised-psvt-r-characteristics-of-the-first-year-engineering-students- spatial-ability[5] S. Dautle and S
Capacity to Pilot and Scale Corequisite Calculus for First Year Engineering Gateway CoursesAbstract:Norwich University, the oldest Senior Military College in the nation and the first private U.S.institution to teach engineering, has a residential program for approximately 2,100 primarilyundergraduate students in both the Corps of Cadets and civilian lifestyles. Norwich secured aNational Science Foundation S-STEM award in the beginning of 2020 to develop a program toattract and retain highly talented, low-income students in STEM. One of the aims of the projectwas to support students who enter college with less experience in mathematics as these studentswere significantly less likely to
Paper ID #42318Board 318: Instructor Experiences Integrating Facilitated Socially EngagedEngineering Content in their CoursesClaudia G Cameratti-Baeza, University of Michigan At CRLT, Claudia works with the Foundational Course Initiative (FCI) as Pedagogy & Instructional Design Consultant. In this role, she partners with departmental instructional teams and fellow FCI consultants to support the Universityˆa C™s large introductorDr. Erika A Mosyjowski, University of Michigan Erika A. Mosyjowski is the Research and Faculty Engagement Manager in the Center for Socially Engaged Design within University of Michigan College of
students in STEM majors [5]. Active learning experiences are broadlydefined as activities that students do to further knowledge and understanding of a topic and canbe anything from brief pauses during lectures to allow for reflection to semester-long off-siteprojects. Active learning can be particularly beneficial for the most challenging aspects of acourse, such as the analysis of frames and machines in a statics and dynamics course for whichstudents must apply their knowledge of several previous topics to systems with complexstructures and multi-force member(s). Additionally, entrepreneurial mindset learning (EML) has been incorporated intoengineering programs. Through EML, student learn how engineering principles combinedcuriosity and a
, including approximately 3,000 graduate students. Roughly 75% of the graduate studentpopulation identifies as White, 7% as Hispanic, 2% as Black/African American, and 2% as Asian.U.S. citizens constitute 93% of the graduate population, and 38% of the graduate populationattends full-time. There are two populations of participants in this study. The first population is the studentssupported by the scholarships (SEGSP), hereafter, referred to as scholarship participants (S).The second population is comprised of graduate students in the College of Engineering notsupported by the SEnS-GSP, hereafter, referred to as general engineering students (G). Thisresearch took place during the 2020-2021 and 2021-2022 academic years. The demographics ofthe S and G
students to harness their knowledge of physics, biology, physiology,engineering, and mathematics to formulate dynamic models of physiological systems. Our overallaim is to enhance students’ ability to apply and foster a deep appreciation of the power ofmathematics in addressing real-world biomedical engineering challenges.References[1] L. M. Almeida and L. A. Kato, “Different approaches to mathematical modelling: Deduction of models and studens’ actions,” International Electronic Journal of Mathematics Education, vol. 9, no. 1, pp. 3–11, 2014.[2] S. Andr´as and J. Szil´agyi, “Modelling drug administration regimes for asthma: a romanian experience,” Teaching Mathematics and Its Applications: International Journal of the IMA, vol. 29, no. 1
2114242. Any opinions, findings, and conclusions, or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.References[1] P. Moen, “The Uneven Stress of Social Change: Disruptions, Disparities, and Mental Health,” Soc. Ment. Health, vol. 12, no. 2, pp. 85–98, Jul. 2022, doi: 10.1177/21568693221100171.[2] Z. Abrams, “Student mental health is in crisis. Campuses are rethinking their approach,” Monit. Psychol., vol. 53, no. 7, p. 60, 2022, doi: https://www.apa.org/monitor/2022/10/mental-health-campus-care.[3] T. N. Hanh, Peace Is Every Step. Bantam Books, 1992.[4] J. Kabat-Zinn, Full catastrophe living: Using the wisdom of your body and mind to face
tothe vital nature of the Statics course itself to education for future engineers, it was beneficial toprepare a systematic review, providing an objective summary of the current research landscapeof Statics interventions.Categorization of Course InterventionThe intervention categories we considered fall under a set of three intervention frameworks:Harackiewicz and Prinski (2018)’s motivational interventions, Donker et al. (2014)’s learningstrategy interventions, and Borrego et al. (2013)’s practice and/or research-based instructionalstrategy (PRBIS) interventions.Harackiewicz and Prinski (2018) revised and evaluated psychology-driven interventionspresented two decades before its publication. It condensed the research landscape up until
proportional gain (mA/cm), the integral time (s) and the derivative time (s) by independent activation of every controller component acting on the flowrate delivered by the peristaltic pump. All these values are recorded at time readings in the EXCEL spreadsheetThe liquid level in the tank adjusts according to the model derived from mass and energybalances as given by equation (1) 𝑑ℎ 1 = (𝐹 − 𝐶𝑉3 ℎ𝑝𝑉3 − 𝐶𝑉2 ℎ𝑝𝑉2 ) (1) 𝑑𝑡 𝐴𝑐 𝑖𝑛where, h = liquid level in the tank (cm) Ac = transversal area of the tank (cm2) Fin = inlet flow rate (cm3/s) CV3 = valve constant (for solenoid vale SV3), units to match power factor pV3 = power factor for valve
topic. It is not enough to do a basicliterature review; we want to be sure that we are broadly and systematically reviewing what isavailable with regard to graduate students in mentoring triads.Systematic literature review. As defined by Borrego and colleagues’ 2014 study on the subject,a systematic literature review follows a set of procedures in order to be reproducible [12]. Theseprocedures are Decision, Identification of Scope and Research Questions, Inclusion Criteria,Finding Sources, Critique of Sources, Synthesis, Limitations/Concerns, and further writing thereview itself. The Decision stage is the first step, in which the researcher(s) must agree to beconsistent and effective “between goals, research questions, selection criteria, and
/25016.[4] National Research Council, U.S. Fostering Flexibility in the Engineering Workforce. Washington, DC: National Academies Press, 1990. doi: https://doi.org/10.17226/1602.[5] National Academy of Engineering, U. S. The Engineer of 2020: Visions of Engineering in the New Century. Washington, DC: National Academies Press, 2004. doi: https://doi.org/10.17226/10999.[6] Y. H. Ahn, R. P. Annie, and H. Kwon, “Key competencies for US construction graduates: Industry perspective,” Journal of Professional Issues in Engineering Education and Practice, vol. 138, no. 2, pp. 123-130, 2012. doi: https://doi.org/10.1061/(ASCE)EI.1943- 5541.0000089.[7] J. McMcMasters and L. Matsch, “Desired attributes of an