,” LACCEI, 2021.[12] Warren, S., Dong, X., Sobering, T.J., Yao, J., A Rapid Analysis and Signal ConditioningLaboratory (RASCL) Design Compatible with the National Instruments myDAQ Platform,” inProceedings of the 2011 ASEE Conference & Exposition, American Society for EngineeringEducation, 2011.[13] Yan, Y. Adams, R.D., Yanik, P.M., Jack, H., Ritenour, A. Karayaka, H. B., “BYOE:Individual Lab Kit Options for Analog and Digital Circuits Suitable for In-class or At-homeExperiments,” in Proceedings of the 2021 ASE Annual Conference, ASEE, 2021.[14] Lowe, Davit, et al. "LabShare: Towards a national approach to laboratory sharing."Proceedings of the 20th Annual Conference for the Australasian Association for EngineeringEducation. The School of
withpseudonymized interview data (where faculty are pseudonymized as Professors A-R). This is thefirst publication with data collected and analyzed through these instructor interviews. TABLE I: Instructor interview participant information Course Number of instructors, Mode of instruction due to pseudonyms COVID Spring 2020 Engineering 2 2/7, A, B In-person then mid-semester shift to online Spring 2021 Engineering 1 and 2 12/20, C-N Online Spring 2022 Engineering 1 and 2 4/10 who had not already In
. It willcontain several fully worked example problems. The problems will contain the useof the above functions where students only use a calculator to calculate the firstthree terms given in the above formulas. It is intended only as a learning resourceand can be used by any math or engineering educator.The example problems will emphasize the use of the right triangle ratios b/c, a/c,and b/a as the dependent variable. Graphs of sine and cosine will also be givenwith the vertical axis labeled as y/A and x/A as opposed to simply y. It will beplotted this way, because students have difficulty understanding why the righttriangle length ratios simply disappear when graphing the trigonometric functions.This supplemental chapter will hopefully
shall include training in electronic and electrical workshop skills relevant to the duties of an electro- technical officer. 2. Table 1 is adapted from IMO Course Model 7.08 and modified to show how this format could be used [12].Onboard Training 3. Every candidate for certification as an electro-technical officer shall follow an approved program of onboard training which: a. ensures that, during the required seagoing service, the candidate receives systematic practical training and experience in an electro-technical officer's tasks, duties, and responsibilities. b. is closely supervised and monitored by qualified and certificated officers aboard the ships in which
, and Philip M. Sadler. 2015. Establishing an explanatory model for mathematics identity. Child development 86, 4: 1048–1062.11. Katherine P. Dabney, Robert H. Tai, John T. Almarode, Jaimie L. Miller-Friedmann, Gerhard Sonnert, Philip M. Sadler, and Zahra Hazari. 2012. Out-of-School Time Science Activities and Their Association with Career Interest in STEM. International Journal of Science Education, Part B 2, 1: 63–79.12. William Easley, Foad Hamidi, Wayne G. Lutters, and Amy Hurst. 2018. Shifting expectations. Proceedings of the ACM on human-computer interaction 2, CSCW: 1–23.13. Jennifer A. Fredricks, Neil Naftzger, Charles Smith, and Allison Riley. 2017. Measuring Youth Participation, Program Quality, and Social and
and undergraduate mentees. Building upon the success of the pilot year ofthe program, this study formally examines the effectiveness of the GradTrack program in itssecond year.Specifically, this study aims to address two questions: A) Does the GradTrack Scholars Programprepare participating undergraduate students for graduate school? and B) Does GradTrack assistin the professional development and sense of belonging for graduate student mentors? Toevaluate these questions, this research paper uses pre- and post-event surveys and a focus groupof mentors from the 2022 GradTrack cohort. This paper will also discuss modifications madebetween the first two years of the program. The results of this assessment and ideas forimplementation across other
. Zizka, “Employability skills for 21st-century STEM students: the employers’ perspective,” High. Educ. Ski. Work-Based Learn., vol. 10, no. 3, pp. 591–606, Jan. 2020, doi: 10.1108/HESWBL-10-2019-0148.[2] K. J. B. Anderson, S. S. Courter, T. McGlamery, T. M. Nathans-Kelly, and C. G. Nicometo, “Understanding engineering work and identity: a cross-case analysis of engineers within six firms,” Eng. Stud., vol. 2, no. 3, pp. 153–174, Dec. 2010, doi: 10.1080/19378629.2010.519772.[3] A. Briliyanti, J. W. Rojewski, D. J. L. Colbry, and K. Luchini-Colbry, “STEMAmbassadors: Developing Communications, Teamwork, and Leadership Skills for Graduate Students,” presented at the 2020 ASEE Virtual Annual Conference Content Access, Jun
restrictions and lockdown from 2020-2022 inmany of the populated cities of the world. The University of Maryland Eastern Shore students (UMES)students in 3 undergrad courses (Introduction to Environmental Sciences; Biology for Honors students; andEcology) and 1 graduate course (Teaching STEM at K-12 schools), and summer-exchange undergraduateengineering and high school interns had the opportunity to research the effects of Covid-19 pandemic onair quality for selected overpopulated cities in the world. The data collected were from March 2020through summer of 2022. The objectives of integrating this research in STEM education are: a) tofind a correlation among air quality parameters because of Covid-19; b) to analyze the effects ofthe pandemic on CO
Paper ID #36960Social responsibility views in science and engineering: An exploratorystudy among engineering undergraduate researchersKassandra Fernandez, University of Florida Kassandra Fernandez is a Graduate Research Assistant at the University of Florida in Gainesville, Florida, where they are pursuing their PhD in Engineering Education (EED). They graduated from Miami Dade College with a B.S. in Biological Sciences and from the University of Florida with an M.S. in Microbi- ology and Cell Science. Before embarking on their PhD journey, they worked as a science teacher at a Title I school in Homestead, Florida and as
pedagogies. Journal of Professional Issues in Engineering Education and Practice, 141(1), 05014002.Finelli, C. J., Holsapple, M. A., Ra, E., Bielby, R. M., Burt, B. A., Carpenter, D. D., ... & Sutkus, J. A. (2012). An assessment of engineering students' curricular and co‐curricular experiences and their ethical development. Journal of Engineering Education, 101(3), 469-494.Furco, A. (1996). Service-learning: A balanced approach to experiential education.Garzón, J. (2021). An overview of twenty-five years of augmented reality in education. Multimodal Technologies and Interaction, 5(7), 37.Guntur, M. I. S., Setyaningrum, W., & Retnawati, H. (2020, July). Can augmented reality improve problem-solving and spatial
research using R: A systematicapproach (pp. 91-106). Springer, Singapore.Fries-Britt, S., George Mwangi, C. A., & Peralta, A. M. (2014). Learning race in a US Context: Anemergent framework on the perceptions of race among foreign-born students of color. Journalof Diversity in Higher Education, 7(1), 1.Lee, J. J., & Rice, C. (2007). Welcome to America? International student perceptions ofdiscrimination. Higher education, 53(3), 381-409.Mwangi, C. A. G., Thelamour, B., Ezeofor, I., & Carpenter, A. (2018). " Black elephant in theroom": Black students contextualizing campus racial climate within US racial climate. Journal ofCollege Student Development, 59(4), 456-474.Mwangi, C. A. G., Daoud, N., Peralta, A., & Fries-Britt, S. (2019
balance at an APR of 6% for 15 years. (a) How much money does Uncle Mort need on the closing day [including the down pay- ment, origination fee, processing fee, underwriting fee, appraisal fee, credit report fee, survey, and title fee]? For part a, assume reasonable values for the closing cost items listed above. (b) Determine the total amount of money Uncle Mort pays each month to the bank (which includes principals, interest, property tax, property insurance). For part b, assume reason- able values for the property taxes and homeowner’s insurance premium. (c) Uncle Mort plans to apply for a home equity loan for renovating the master bathroom and kitchen. How much equity will he have in December
, Klan members; b) the group that fails toacknowledge whiteness, i.e., proponents of color blind ideology, and c) white guilt. In addition, adevelopment of a positive white identity necessitates the awareness and interrogation ofwhiteness [46]. This however is a process which involves stages like contact or denial of theracialized context of whiteness. Disintegration involves acknowledgement of white supremacyand systemic nature of racism. In addition to these elements, there is reintegration, where victimsof racism are blamed for their oppression. There are also other stages, the last being autonomy,where white people become active antiracists engaging with other white antiracists andmarginalized communities (people of color and other oppressed
DesignIn this module, students are exposed to the structured steps in the product design process [9].These steps include (a) customer needs identification, (b) generating target product specificationswith measurable metrics and how to translate customer needs into engineering specifications, (c)how to then systematically generate concepts using concept generation and ideation techniquessuch as external searches including benchmarking, patent searches, talking with experts, andinternal search methods including creative brainstorming and ideation, and concept sketching;(d) how to generate alternative concepts for their sketches and how to relate them to targetproduct specifications; (e) how to systematically rate and rank concepts and select
63 100 51 Footnotes: Lecture/Lab < Studio (p<0.015) Lecture/Lab < Studio (p<0.001) a c b Var Lecture/Lab ≠ Var Studio (p<0.0001) b Var Lecture/Lab ≠ Var Studio (p<0.0002)Table 1 summarizes the ANOVA data for the site engineering and urban hydrology courses. Astandard F-test was used to determine that heteroscedasticity of model variances existed betweenthe lecture/lab and studio versions of both classes (pg 126 of [27]). A one-sided test (H0:lecture/lab PS
Passive a, k, s a, k Type of instruction Interactive d, g, i, l, n, u i, l Type of instruction Constructive b, c, h, j, r, t b, j, rFor the actual course, Figure 2 shows the percentage in which, from the students’perspective, the instructor performed or asked them to do certain actions in class, such asdiscussing concepts with classmates and solving problems in groups, among others. For theideal course, students indicate the percentage in which they would like the actions to occuras part of the type of instruction. This is particularly important, since a semester has (onaverage) 30
. Accessed: Apr. 03, 2023. [Online]. Available: www.acnur.org/5d4b20184.pdf[3] Organización de las Naciones Unidas, Convención sobre el estatuto de los refugiados. ACNUR, 1951. Accessed: Apr. 03, 2023. [Online]. Available: www.acnur.org/5b0766944.pdf[4] C. Esguerra Muelle, “La representación periodística de las migraciones,” in Pistas para contar la migración, Bogotá: Fundación Konrad Adenauer, 2019.[5] L. Moll, C. Amanti, D. Neff, and N. González, Funds of Knowledge. Routledge, 2006. doi: 10.4324/9781410613462.[6] M. J. Strickland, J. B. Keat, and B. A. Marinak, “Connecting worlds: Using photo narrations to connect immigrant children, preschool teachers, and immigrant families.,” Sch Comm
) Number of Events Attended Number of Resources UtilizedFigure 1. Distribution of number of events attended (A) and resources utilized (B) by 2021vs. 2022 first-time freshmenTaken together, this indicates that the 2021 cohort of incoming freshmen were more engagedwith college events and utilized more of the available resources, even though many of themtransitioned directly from a high-school experience that allowed very little in-person learning andsocial engagement during their senior year compared to students in the 2022 cohort.First-time Freshmen vs. Transfer StudentsWhen comparing first-time freshmen and transfer students, the primary difference was thattransfer students were significantly more likely to utilize
Curriculum”. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 35.15678–15686.[9] A. Ottenbreit-Leftwich, K. Glazewski, M. Jeon, C. Hmelo-Silver, B. Mott, S. Lee, and J. Lester. 2021. “How Do Elementary Students Conceptualize Artificial Intelligence?”. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (Virtual Event, USA) (SIGCSE ’21). Association for Computing Machinery, New York, NY, USA, 1261. https://doi.org/10.1145/3408877.3439642[10] S. Anwar, N. A. Bascou, M. Menekse, and A. Kardgar. 2019. “A systematic review of studies on educational robotics”. Journal of Pre-College Engineering Education Research (J-PEER) 9, 2 (2019), 2.[11] A. Álvarez and
expert consensus also illuminates thetopics that have not previously been explicitly named important in a CS2 course (Abstraction,Deep vs. shallow copy, How to choose data structures). These also represent the topics wheremore content and assessment development work is needed.AcknowledgementsWe thank the 17 experts that participated in our Delphi study.References [1] Vicki L Almstrum, Peter B Henderson, Valerie Harvey, Cinda Heeren, William Marion, Charles Riedesel, Leen-Kiat Soh, and Allison Elliott Tew. Concept inventories in computer science for the topic discrete mathematics. In ACM SIGCSE Bulletin, volume 38, pages 132–145. ACM, 2006. [2] Reed-Rhoads, T., and Imbrie, P. K. Concept inventories in Engineering Education. In National
%. Some students wereenrolled in multiple classes, so we separate responses for each of the different courses in which eachstudent enrolled. Restricting to CSE majors, there are 660 CSE majors who responded at least once in atleast one their courses, of a total enrollment of 732 CSE majors among these courses, a 90% responserate.We use demographic categories based on the available institutional metrics and categories. Race/ethnicityis reported as “Asian/Asian-American” (A), “Black or African-American” (B), “Hispanic, Chicano, Latinoor Spanish” (H), “White/Caucasian” (W), “Not Given or Decline to State” (D). The number of AmericanIndian/Alaska Native respondents was too low to report without risk of re-identification. Gender is reportedas Female
ways limited, by our experiences as white individuals inthe United States.Project OverviewThis IRB-approved, NSF-funded research project included ten focus groups of students who self-identified as neurodivergent and were pursuing advanced degrees in STEM disciplines at an R1university in the Northeastern United States. Recruitment took place via an email that was sharedthrough a listserv for all graduate students and an email from the university’s disability servicesoffice. The focus group participants a) self-identified as neurodivergent, and b) indicated thatthey were completing a graduate degree in a STEM field. Degree programs were classified asSTEM programs based on the university’s list of STEM majors and/or their inclusion on the
found moremiddle-performance (B and C range GPA) students expected high stress from oral exams,compared to high-performance (A-range GPA) and lower performance (below C GPA) students(p-value = 0.0005 for A and B students, and p-value = 5e-06 for A and C students). 52% ofB-range GPA students and 64% students agreed or strongly agreed that the stress from oralexams would be excessive, compared with 43% A-range students.Students’ prior oral exams experience also impacts their expectations of stress. A pre-surveyquestion asked the students how many times they have had oral exams before, with answers of “never”, “yes but not for credits”, “once/ twice”, “several times”, and “many times”. Based on thepost-hoc analysis to compare the different levels
Paper ID #38076Interest-Driven Major Pathways for Mid-Program Undergraduate Engineer-ingStudentsMs. Kelsey Louise Scalaro, University of Nevada, Reno Kelsey Scalaro is a doctoral candidate at the University of Nevada, Reno. Her emphasis is on undergrad- uate engineering student identity development with a dissertation focusing on how students access and interpret the recognition of their engineering identities. She seeks to leverage her B.S. and M.S. in me- chanical engineering along with her five years of aerospace industry experience to design project oriented classes that equitably support engineering identity
, and science courses for thestudent per term; 𝑔𝑖 is the grade earned on a 4.0 numerical scale in the 𝑖 𝑡ℎ course; and 𝑐𝑖 is thenumber of credits in the 𝑖 𝑡ℎ course. The conversion between letter grades and GPA points are inTable 2.Table 2: The numeric conversion between letter grades and GPA points on a 4.0 GPA scale. Letter Grade GPA Points A 4.0 A- 3.67 AB 3.5 B+ 3.33 B
expanded on this sentiment by stating, These classes right now are to teach us, you know, the basics of engineering. So, you know getting a B or some B’s in classes or you know a C in a class here and there or you know even having to retake a class in the grand scheme of things I don't think [grades] will have a large effect or impact on you know being an engineer in the future.While this theme was repeatedly identified throughout every participant interview, we alsoobserved participants explicitly differentiated between their identity as a student and theiridentity as an emerging engineer, which we captured in theme 2. When asked if they consideredthemselves to be engineers, each participant provided their own unique
,” New Technol Work Employ, pp. 1–20, Dec. 2021, doi: 10.1111/ntwe.12226.[2] R. Stevens, A. Johri, and K. O’Connor, “Professional engineering work,” in Cambridge Handbook of Engineering Education Research, A. Johri and B. M. Olds, Eds. New York, NY, USA: Cambridge University Press, 2014, pp. 119–138. doi: 10.1017/CBO9781139013451.010.[3] B. Williams and J. Figueiredo, “Engineering practice as an emerging field of inquiry: A historical overview,” in 2016 ASEE Annual Conference & Exposition Proceedings, New Orleans, LA, USA, Jun. 2016, pp. 1–12. doi: 10.18260/p.26660.[4] G. Kunda, Engineering culture: Control and commitment in a high-tech corporation, 2nd ed. Philadelphia, PA, USA: Temple University Press, 2006.[5
students decided that the Ishikawa technique utilizing a fishbonediagram [See Appendix B] would be most appropriate root cause analysis (RCA) because of themultiple prevailing factors contributing to the accident including weather conditions, crews’decision-making competency, communication and navigation monitoring, capability of theengine, stability, lack of training and safety protocol procedures, and the lifesaving equipment onboard (Xu et al., 2020). The students would then employ failure mode analysis (FMA), atechnique used to identify potential failure modes in a system. This analysis is focused onidentifying how a system could fail, rather than the causes of failure. Students focused on the lifesaving equipment on board after learning
neighboring corridor, and then extending further toinclude the entire floor and building. Figure 3 shows an example of scans for small objects thatwere created as an early task for students to build their competency. In Figure 3(a), a studentcaptures the Man on a Bench artwork sculpture at the IIT campus [13] and in Figure 3(b) andFigure (c) they capture an object in their daily interactions. (a) (b) (c)Figure 3. Scans of small objects.Figure 4 shows the scan of the room that was created to show how the scans could create a smalloffice area. This task required taking at least more than one scan and students had to learn how totake scan segments, merge the scans, and visualize the
testing the test was split into subtests A and B (each comprising half of theoriginal 25 TMCT items) of equal difficulty. One item was eliminated from the selection due toits excessive difficulty among preliminary testing participants. Thus two distinct TMCT formswere developed from this work.Population A total of 196 BLV participants took the TMCT from 2018-2022. 178 participants chosethe tactile graphics format answer sheets, and 18 used large print. Data on the participants'gender was not collected. Each participants’ age was not specifically requested, however allparticipants were between the ages of 14 and 65+. The pre-COVID-19 data comes from 119participants who took the TMCT between July 2018 and early March 2020 before the onset