. Labor forceparticipation rates have also increased among racial and ethnic minorities. For example,African-Americans’ labor force participation rate increased from 60% in 1973 to 64% in 2005while Hispanics’ participation rate increased from 60% to 68% for the same years27. The U.S.Department of Labor reported in 2001 that women and minorities now comprise 60% of the U.S.workforce – a shift consistent with the prediction made by the Hudson Institute in 198718,41.These population changes and growing concerns about American competitiveness reinvigoratedan interest in “diversity,” particularly in science and engineering (S&E). Several studies on theS&E workforce warn of labor shortages caused by the growth in workers of retirement age
& Electronic Technology, Mathematics Faculty Member and Full Professor at Northern Essex Community College.Prof. Lori Heymans, Northern Essex Community College Page 23.606.1 c American Society for Engineering Education, 2013 First-year Project-Based Engineering: The Secret to Student SuccessAbstractThis paper describes a project-based first-year introductory course at a community college whichemphasizes working in teams on hands-on projects that require using EXCEL and MATLAB.Assignments involve graphing data for Ohm‟s Law and the speed of sound in air, distancemeasuring using ultrasound
professor in the Agricultural and Biosystems Engineering Department. He co- ordinates the occupational safety option of the industrial technology degree program and the occupational safety certificate program for the department. His research interests are in agricultural and workplace safety and the scholarship of teaching and learning associated with safety, engineering, and technology curricula.Prof. Mack Shelley, Iowa State University Mack Shelley is a Full Professor with joint appointment in the Departments of Statistics and Political Science. He holds the title of University Professor [”The University Professorship recognizes faculty members who have had a significant impact on their department(s) and the university
). Come up with questions for interviewing the engineers (Sept 17). Progress check of Engineering Overview task (Sept 19). Interview at least 2 engineers for their opinion on what engineering is and the topic Attach interview questions and their opinion(s). Provide proof that you have interviewed them. You can interview by meeting the person, virtual discussion (e.g Skype) or by phone. Create a video for one of the interviews. The video will be uploaded in UTMotion. Please get the permission of the engineer that you are interviewing if he or she agrees to have the video in UTMotion. Gather the points and make a power point presentation (presentation on Sept 24
... ... Prerequisite concepts ... Knowledge transition relation Fig. 4 Transition-page, prerequisite, covered and resulting concepts of a transitionThe meaning of the groups of concept incident to the transition-page is the following: • Covered concepts are displayed (read learned) at the page of the transition. • Prerequisite concepts must be learned before learner can browse the page of the transition. • Resulting concepts can be learned after the covered concepts are learned.The decision on adding a new transition to a course is decomposed to the following sub-decisions: • what concept(s) should
) Table No. 2 Alternative values when project is build one year from nowIn the 1970’s, Net Present Value (NPV) and Discounted Cash Flow (DCF) were the bestpractices for valuing corporate assets. NPV and DCF analysis fail to consider future uncertaintyand strategic response to future events. In principle, DCF analysis can be dynamic and canincorporate uncertainty. With dynamic discount cash flow analysis, the most difficult inputs toestimate are the probabilities of future cash flows and the proper risk-adjusted discount rates.NPV and DCF do not take into account the managerial flexibility that allows mangers to takebetter decisions when new information arrives. It takes implicit assumptions related with thescenarios of cash flows and expects a
PSI papers and notes and then abruptly stopped,publishing only three additional PSI papers in 1981, 1982, and 1984. In 1970, Billy Koenpublished the first Engineering PSI journal article in ASEE’s Engineering Education. Over thenext 9 years, Engineering Education published 23 additional PSI journal articles and notes,again trailing off into a handful of papers during the 1980’s. Similar patterns can be found inother engineering education journals such as IEEE Transactions on Education, and ChemicalEngineering Education.The PSI literature presents an overwhelmingly positive picture of a transformational teachingmethod. And yet the attention of educators faded in a few short years. Bits and pieces of thisenigma can be teased from the literature
incorporated into the rubric.Finally, a total pool of 1,058 references (journal articles, conference proceedings, and books)were collected, and each study was read and evaluated using the evaluation rubric, focusing onthe description of authenticity or authentic experience and the principles included (along with arating of the reviewer‟s confidence in the findings).Identifying ResearchWe are interested in the design of authenticity in K-12 STEM curricula, and theconceptualization and embodiments of authenticity. Therefore, we searched for the literatureusing two sets of keywords. One set is “authenticity” and “authentic”. The other set includes“integrity”, “realistic”, “genuine”, and “legitimate”, which are synonyms of “authentic” in thedomain of
Station, Mayagüez, P.R. 00681-5000. Vocie: (787) 832-4040 ext. 3823Fax: (787) 833-6965; e-mail: jzayas@exodo.upr.clu.eduJohn S. LamancusaAssociate Professor of Mechanical Engineering, and Director of the Learning Factory, Pennsylvania StateUniversity. Address: Mechanical Engineering Department, 157 Hammond Buiding, Mechanical EngineeringDepartment, Penn State University,University Park, PA 16802. Voice: 814-863-3350; Fax: 814-863-7222;e-mail: jsl3@psu.eduJens JorgensenProfessor, Mechanical Engineering Department, University of Washington, Seattle, WA 98195-2600. Voice: (206)543-5449; Fax: (206) 685-8047; e-mail: jorgen@me.washington.eduFile:papers/asee97-session2313.doc
UV-NIR Spectroscopy Mechanism of Environmental Restoration and Conservation an Approach to Sustainability Bridge Health Monitoring System Using R to Compile an Aggregated Data Analysis Report on Cisalva Institute´s Ondas Project Relationship between two Blood Metabolic Products, Body Condition and Ectoparasitism Infestation in Birds of an Urban Area in Universidad del Valle (Cali), ColombiaAt most universities, Study Abroad courses that are faculty led, and short term as well asSummer Sessions/Schools Abroad, are seen as one of the major vehicles for students to integratean international experience in their curriculum [1]. The NYC LSAMP model (surveyed acrossprogram sites), modeled after the traditional Research Experience for Undergraduates
. For example, “The experiences I gained in my free time havehelped me in my STEM coursework” or “Friend(s) from my neighborhood have given me advicethat helped me in my STEM coursework.”B. Sample and Data CollectionApproval was obtained to conduct this study as per Institutional Review Board (IRB) guidelines.The survey instrument was distributed to directors of the College Assistance Migrant Program(CAMP) across the nation, who supported the distribution of the survey to students with MSFWbackgrounds in STEM fields, which yielded a total of 108 participants (n=108). Participants had amonth to complete the survey, and to boost their participation, a random drawing of five e-giftcards from the pool of participants was offered as an incentive
Conference, as well as one invited presentationfor the Military and Veteran Division (MVD) of ASEE at the ASEE 2024 Annual Conference.During Year 3 there has also been one master’s thesis published. These publications andpresentations are described below.4.2.1 Systematically synthesizing the research literature related to SVSM in engineering:Wilkinson, H., Minichiello, A., Shaw, S., & Miles, A. (in preparation). A systematic review ofliterature related to U.S. military veterans and service members in public undergraduateengineering programs in the United States.In this work, the project team is working to expand a systematized narrative literature reviewpublished in 2022 [20] into a full systematic literature based on PRISMA guidelines [26] and
and professional identity: navigating sociocultural expectations in U.S. undergraduate civil engineering programs,” Australas. J. Eng. Educ., vol. 25, no. 1, pp. 79– 89, Jan. 2020.[3] M. J. Grant and A. Booth, “A typology of reviews: an analysis of 14 review types and associated methodologies,” Health Inf. Libr. J., vol. 26, no. 2, pp. 91–108, 2009.[4] B. Fraser, Cognitive disability aesthetics: Visual culture, disability representations, and the (in)visibility of cognitive difference. University of Toronto Press, 2018.[5] S. Wendell, “Unhealthy disabled: Treating chronic illnesses as disabilities,” Hypatia, vol. 16, no. 4, pp. 17–33, 2001.[6] O. Barden and T. Cook, “Learning difficulties: Histories and cultures,” J. Lit
Paper ID #42729Board 317: Institutional Practices to Close the Equity GapEC 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. 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.Amanda K Sesko, University of
):There's no significant change in the mean scores for Section 2 from the pre-survey (M=4.4899,SD=0.87228) to the post-survey (M=4.4880, SD=0.86049), t(82) = 0.016, p = 0.987. This indicatesthat the intervention did not have a statistically significant impact on the scores for this section.Pair 3 (PreS3 - PostS3):There's also no significant change in Section 3's mean scores from pre (M=4.3317, SD=0.95488)to post (M=4.3673, SD=0.91948), t(82) = -0.269, p = 0.788.Pair 4 (PreS4 - PostS4):No significant change is observed in Section 4's mean scores from pre (M=5.6790, SD=0.56833)to post (M=5.7693, SD=0.67441), t(82) = -0.931, p = 0.355.Pair 5 (PreS5 - PostS5):A slight, but not statistically significant, increase is noted in the mean scores for Section
work that was supported by the National Science Foundation Grant #1915615 titled “Adapting an Experiment-centric Teaching Approach to Increase StudentAchievement in Multiple STEM Disciplines”. It should be noted that the opinions, results,conclusions, or recommendations expressed are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.References[1] F. Ouyang, T. A. Dinh, and W. Xu, “A Systematic Review of AI-Driven Educational Assessment in STEM Education,” J. STEM Educ. Res., vol. 6, pp. 408–426, 2023, doi: 10.1007/s41979-023-00112-x.[2] W. Xu and F. Ouyang, “The application of AI technologies in STEM education : a systematic review from 2011 to 2021,” Int. J. STEM Educ
York University Lindsay Anderberg is the archivist and user services librarian at New York University Tandon School of Engineering in Brooklyn, New York. She received her MSLIS with a concentration in rare books and special collections from Long Island Universityˆa C™s PalMr. Samuel R. Putnam, New York University ©American Society for Engineering Education, 2024 Work in Progress: Exploring the impact of ChatGPT’s Generative AI on Information Seeking Behavior of Engineering StudentsAbstractThe user and application base of generative AI tools has seen tremendous growth over the pastyear. In response, numerous papers have been published evaluating
Multidisciplinary Engineering. Her work focuses on instructional strategies in engineering, and educational technology. She is also passionate about student mental health and broadening participation in engineering.Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York Dr. Matilde S´anchez-Pe˜na is an assistant professor of Engineering Education at the University at Buffalo – SUNY where she leads the Diversity Assessment Research in Engineering to Catalyze the Advancement of Respect and Equity (DAREtoCARE) Lab. Her research focuses on developing cultures of care and well-being in engineering education spaces, assessing gains in institutional efforts to advance equity and inclusion, and using data science
technology.With this background, it‟s not surprising that many of our students connect to technologythrough science fiction (SciFi). This paper describes a course on artificial intelligence andscience fiction. It has been offered as a general education elective, meeting writing-intensive,literature, and ethics categories for undergraduates, and as a graduate course with semester-longprojects.Artificial intelligence (AI) presents many complex theoretical, societal and ethical issues thathave historically been examined in works of science fiction. The interplay between sciencefiction from the 1950s to the present and the development of the field of AI can be used to showhow imaginative creativity and technical innovation fueled each other. As a non-AI
high-pressurecurriculum demands stress management methodologies. As in CM-II, integrating meditation phases in a sequentialmanner – from emotional release, through mental stressor review, to positive future visualization – potentiallyoffers a comprehensive approach to stress management and mental health improvement. Soothing backgroundmusic could further enhance this effect by providing a calming and supportive auditory environment. Incorporatingstress-reduction techniques, such as the CM-II meditation approach, into engineering education could significantlyenhance various aspects of student performance and learning. L IMITATIONS OF THE S TUDY The study’s limitations include a small sample size of
completeprogram, as shown in Program 1, is written which moves the robot forward.#include CLinkbotI r o b o t ;double d i s t a n c e = 5 , r a d i u s = 1 . 7 5 ;robot . connect ( ) ;r o b o t . moveDistance ( d i s t a n c e , r a d i u s ) ; Program 1: Single robot control code.Only five lines of code are necessary to connect to the robot and move it forward. The firstline is C++ syntax to allow the code to know about all of the functions available to controlthe robot. The second line creates the robot within the code so that the functions can Page 24.1058.10interact with the correct robot. Variables are created to store
contains student record data from 1988 through 2010 for 11 MIDFIELD partnerschools, though not all schools provided data in all years. Using the most current MIDFIELDdata (which includes more recent data than reported in Ohland et al.’s paper), we find that amongthose who graduated in engineering, more than 10% began in a non-engineering discipline. Ofthe over 7000 people who graduated in engineering but began in some other discipline, almost40% came from other science and math disciplines, which is unsurprising since many of theprerequisite courses in those disciplines are the same as for engineering, making the transition Page 24.1186.2easier with
propose an evaluation process for the programme. Thefindings will be used to provide guidelines for the engineering leadership developmentprogrammme design specifically for higher education in Southern Africa.1. IntroductionWomen in engineering programmes are a crucial part of a country‟s response to the need formore women in engineering 8. A South African comprehensive university based in PortElizabeth, in collaboration with the merSETA (manufacturing and services seta*) responded tothe need for more women engineers by initiating the Women in Engineering LeadershipAssociation (WELA) in 2011. The goals of WELA are to focus on academic, professional andpersonal development of women engineering students (WES). Two successful years of growthand
research in physics education. Ohio: ICPE Books, 1-10.26. de Berg, K.C. (1995). Student understanding of the volume, mass, and pressure of air within a sealed syringe in different states of compression. Journal of Research in Science Teaching 32(8), 871-884.27. Kesidou, S. and Duit, R. (1993). Students’ conceptions of the second law of thermodynamics – an interpretive study. J. Res. Sci. Teach., 30(1), 85-106.28. Roberts, I. F. and Watts, D. S., (1976). The teaching of thermodynamics at preuniversity level. Phys. Educ., 11, 277-284.29. Kaper, W. H. and Goedhart, M. J., (2002b). Forms of energy, an intermediary language on the road to thermodynamics? Part II. Int. J. Sci. Educ., 24, 119-137.30. Kaper, W. H. and Goedhart, M. J., (2002a
/9781316339275.008.[8] M. F. Steger, “Meaning in Life: A Unified Model,” in The Oxford Handbook of Positive Psychology, 3rd Edition, C. R. Snyder, S. J. Lopez, L. M. Edwards, and S. C. Marques, Eds., Oxford University Press, 2018, pp. 959–967. doi: 10.1093/oxfordhb/9780199396511.013.56.[9] L. A. King, S. J. Heintzelman, and S. J. Ward, “Beyond the Search for Meaning: A Contemporary Science of the Experience of Meaning in Life,” Curr Dir Psychol Sci, vol. 25, no. 4, pp. 211–216, Aug. 2016, doi: https://doi.org/10.1177/0963721416656354.[10] M. F. Steger, S. Oishi, and T. B. Kashdan, “Meaning in life across the life span: Levels and correlates of meaning in life from emerging adulthood to older adulthood,” The Journal of Positive
, undergraduate,and/or graduate students (where specified).Table 2 shows the number of studies with participants from each country (where specified).Table 3 shows the count of studies by their method(s) of data gathering. 4.2 Descriptive DataStudies in this dataset describe CSt and their experiences across several dimensions. First,multiple studies have found that CSt are more likely than average to be students of color. [9, 10]Second, one study explored CSt’s time use in depth, finding that CSt with children younger than 6 Figure 2: Number of Articles per Year (note that not all years before 2015 are represented) Figure 3: Student Area of Study Where Specified (note that 33 studies did not specify area) Student Classification
for this [13], [14]. Lemelinet al. discuss how community building can lead to increased student resilience, which can in turnreduce student resistance to active learning [15]. Zumbrunn et al. found that when studentsperceived the classroom environment to be supportive, their in-class engagement increased [16].Moreira et al. demonstrated that community building in the form of events, retreats, and onlinediscussions contributed to the retention and positive career outcomes for students from groupshistorically minoritized in STEM [17]. Active learning can itself contribute to students’ sense ofcommunity, as evidenced by Parrish et al.’s 2021 study which found that team-based learningfurthered students’ sense of community in both online and face
information is stored in bits (0’sand 1’s). In this case, the hamming distance provides a measure of how many bits needs to beflipped to match the two sets of information. For the vocabulary vectors, this means the numberof terms that need to be removed and added. A higher hamming distance will correspond to morechanges in the vocabulary, which is expected to correlate with the amount of learning. A morecontext dependent analysis of the vocabulary vectors could include flagging terms that are highlyrelevant to the interventions and tracking the change in those terms.5 RESULTS This research explored the effectiveness of an educational intervention by measuringimmediate learning outcomes and retention over time among participants who were part
].Diversifying the engineering workforce is not only beneficial for improving the social andeconomic mobility of historically marginalized racial groups, but it is necessary for theinnovation and technological advancements that are hallmarks of the U.S.’s globalcompetitiveness [12]. Identifying practices that effectively support traditionally underrepresentedstudents in engineering education is critical for improving their sense of belonging (both to theprofession and the institution), which can result in improved academic persistence and degreecompletion [13]. Interventions that target students during their first-year of college represent aparticularly salient strategy for broadening participation in engineering, as it is during this timethat students
temperature 2100.034, and 50 0.036BC.2 : meters | respectively. = (T PreliminaryT inf research suggested that a (5) ) preheated degrees higher @r r=surf ace (260 °F) than k s the specified baked temperature.ked once the perature internal