mundane to students normallylike Ohm’s Law. The intention was to create videos that anyone with a minimal knowledge ofcircuits could come to and understand the content. Even more paramount was that students withno prior circuit knowledge could start watching at the beginning and learn basic DC circuitrelationships. (b) A large number of problem solutions for successSince this is a gate keeper course, to build a better background of the course, a large number ofproblems are solved for each section or new concepts. Some parts of them are solved duringclass time and the other are left in the homework and some others they are also supposed to solvethemselves.The delivery of the solutions:The problems were assigned in the beginning of a semester
into a tactile test, called the Tactile MentalCutting Test (TMCT), designed to allow for tactile interpretation, instead of visual interpretation,of 3-D objects and their planar cuts. The TMCT allows all persons, including BLV populations,access to a tool that can quantify spatial ability. To increase the TMCT’s utility, the originalformat of the 25-question TMCT was split into two subtests (A & B), each containing 12questions. In 2021, the TMCT’s reliability in measuring spatial constructs of rotation, cuttingplane, and proportion in BLV populations was found to be good [1]. However, to increase theprecision of the results found in our pilot analysis, the research team desired a larger sample size.This paper presents a continued
frequently. Only twoTMCT items from the high scoring group had a non-correct answer selected the most frequently.Four TMCT items had particularly high percentages of wrong answers picked and were selectedfor further analysis. These items are problems 118, 124, 131, and 140. Images of each selecteditem with its corresponding answer choice page are given in appendix A. Of the 35 participantswho answered item 118, 17 (49%) participants picked answer choice B. Only two out of 24 highscoring participants picked answer B. The correct answer to problem 118 is answer choice C. Forproblem 124, 19 of the 27 (70%) participants who answered this item picked answer choice B.None of the low scoring participants chose the correct answer, D, while all 30 of the
a bridge program (i.e., courses between completion of high schooland start of college). Professor B teaches an introductory mechanical engineering course. Bothfaculty members have at least five semesters of experience teaching their respective courses.Data Collection and AnalysisFaculty members were asked to participate in 45-minute-long semi-structured interviews aimedat uncovering differences they noticed since the COVID-19 pandemic in their classes. Interviewquestions were developed by the research team in order to answer the research questions. Theinterview protocol was piloted with two faculty members, and that data forms the basis of thispaper. The interview protocol will be modified based on the results of the pilot interviews
of data. Table 1 shows the multiple streamsof data, data analysis methods, and utility of that stream of data in understanding facets of success.We started with the investigation of students in our online MSME program since that project a)had IRB approval; b) was already underway; and c) was aligned with long-term goals of ourdepartment [34]. Therefore, the parts of the study for which preliminary results are reportedcorrespond to the row outlined in boldface and shaded in Table 1.Table 1: Description of data streams, utility, analysis methods Stream of Data Purpose Analysis Methods Statistical analysis of Analyze broad patterns in student Quantitative descriptive and
Paper ID #39764Board 213: An Expanded Integrated Achievement and Mentoring (iAM)Program to Promote Access to STEM ProfessionsDr. Jessica Santangelo, Hofstra UniversityDr. Lynn A. Albers, Hofstra University Dr. Lynn Albers is an Assistant Professor in Mechanical Engineering of the Fred DeMatteis School of Engineering and Applied Science at Hofstra University. Her previous academic contribution was as one of the founding five faculty/staff at Campbell University.Prof. Margaret A Hunter, Hofstra University Margaret Hunter,Ph.D., is an Associate Professor and Associate Chair of Engineering at Hofstra Univer- sity in the Fred
) near the end to assessthe effectiveness of the learning modules and any changes in their beliefs. The two surveys containa mix of multiple-choice, 7-point Likert-type scale (7 being “Strongly agree”), and short-answerquestions whose responses are inductively coded by the lead author (for a list of questions, seeSI-B: Survey questions). For this study, we seek to answer the following research questions (RQs): RQ1: How well are DS and SW skills integrated into the current MSE curriculum? RQ2: How do MSE students view DS and SW in the context of their work?Results and DiscussionWe will only report and discuss the most salient results in this section, and the rest can be found inSI-A: Additional survey results. All 42 students in MSE 104L
B. General C. Not necessary In your opinion, in what form should engineering ethics education courses be carried out? 3 A. Required Courses for majors B. Public required courses C. Optional Courses for majors D. Public electives E. Others Are you interested in this course? 4 A. Interested B. General C. Not interested Do you think the teacher of this course is competent to teach this course? 5 A. Very competent B. Basically competent C. Average D. Not quite up to it Are you satisfied with the teaching methods of your teachers? 6 A. Very satisfied B. Satisfied C. Average D. Not satisfied E. Not satisfied at all Can the
engineering design process to small batch manufacturing. Day A Day B Day C Day DSchedule (5 hours) (5 hours) (5 hours) (5 hours) NC State University Tinkercad 9 Presentations of Intros/Goals Boolean Operations, 930
Paper ID #40647Introducing a Research Project to a First-year Mechanical LaboratoryCourseDr. Gloria Ma, Wentworth Institute of Technology Gloria Ma is a Professor in the Department of Mechanical Engineering and Technology. She has been teaching robotics with Lego Mindstorm to ME freshmen for several years. She is actively involved in community services of offering robotics workshops to middProf. Abhishek Kumar, Wentworth Institute of Technology I am an Assistant Professor in Wentworth Institute of Technology. I have completed PhD from University of Michigan, Ann Arbor.Dr. John Peter Voccio Assistant Professor, Ph.D
Paper ID #39827Developing a Grounded Framework for Implementing Ungrading in aDisciplinary ContextDr. Sarah Marie Coppola, University of Washington Sarah Coppola is an Assistant Teaching Professor the Department of Human Centered Design & Engi- neering at the University of Washington. Dr. Coppola is an educator and researcher whose work focuses on how technology and systems design affects people’s performance and health. Coppola’s research explores bias in technology and how to measure and quantify its impact. She has stud- ied sex/gender differences caused by interface design, healthcare sociotechnical systems, and
andconnectedness are prompt dimensions that help to make visible the design space of teamingprompts. In addition to describing these dimensions, the paper also discusses practicalimplications and future research opportunities made possible by identifying these dimensions.BibliographyCharmaz, K. (2006). Constructing grounded theory: A practical guide through qualitativeanalysis. Sage.Davis, B., & Sumara, D. (2014). Complexity and education: Inquiries into learning, teaching,and research. Routledge.Gaver, W. (2012, May). What should we expect from research through design?. In Proceedingsof the SIGCHI conference on human factors in computing systems (pp. 937-946).Shenton, A. K. (2004). Strategies for ensuring trustworthiness in qualitative research
mathematics background with the success of engineering students [19].More recently, Zaurin et al. investigated the impact of incorporating an Adaptive LearningModule in Statics to review the mathematical prerequisite knowledge the students need [20].Two multivariate models were estimated: (a) pass/fail outcome and (b) grade outcome (classifiedin 5 levels) using a multivariate ordered logit model. In these models, the effects of adaptivelearning methods and other factors on the student's final grade were captured. The model resultsoffer several important findings. First, the pass/fail model clearly highlights the role of themodules in increasing pass rate while controlling for all other student attributes. Also, theadaptive learning module had a
majors. Majorsclassified as non-STEM include economics, social sciences, humanities, communication, and art& design, which make up approximately 45% of all students that took TDOC (Figure 1a) andapproximately 34% of all students that took FSFH (Figure 1b).Figure 1. The major category for students who took (a) The Design of Coffee (n = 12,194) or (b)Food Science Folklore and Health (n = 13,510), both over the time period from 2014 to FallQuarter 2023. A&ES is an abbreviation for Agricultural and Environmental Sciences.In this study, we sought to quantify the impact of The Design of Coffee on recruiting studentsinto STEM disciplines, as well as more specifically into chemical engineering. It washypothesized that first-year students
on one part of the car. • The smallest speed would be B in this one because B is toward the center and A C and D will have the same. • Which has the smallest speed. A B C or D … wow this is what got me in Physics, I really need to review this. Um I think A C and D speed … but B … No they might just all have the same speed if we’re looking at … yeah … I’m going to say they have … I’m going to say E • The “S” and “L” component of velocity based on the tire’s movement. Since it’s in the very center basically everyone one of them is moving at B, the velocity of the car, but each has their own velocity of the tire s well, except for B.Correct Responses • Nothing was said aloud – scored as incorrect
released reference manuals for our hands-on activities in a GitHub repository [21]. Themanuals include specific setup and connection diagrams and detailed instructions about theprocesses involved in conducting the hands-on activities. The manuals have been released under a Figure 2: Visualized baseline setup of lab infrastructure for some hands-on activitiesCC BY-NC-SA 4.0 license. More details about the license terms can be found on the CreativeCommons website [22].A list of our hands-on activities are as follows: Activity 1. Introduce Intelligent Electronic Devices (IEDs) a. Connect to an IED b. Learn interface software c. Communicate with an IED Activity 2. Introduce Remote Terminal Units (RTUs) a
thesimple question of how to motivate young students to even decide on what story they might writefor themselves if they are still searching for what they are interested in.In all of this, one of the hardest things to convince an engineer of is the importance of stories inour lives. This work is an attempt to convince all of us of the importance of stories and to focuson the narrative as the key idea in changing engineering demographics.References [1] M. B. B. Magolda, Knowing and reasoning in college: Gender-related patterns in students’ intellectual development. Jossey-Bass, 1992. [2] J. Campbell, The hero with a thousand faces. New World Library, 2008, vol. 17. [3] J. Searle-White and D. Crozier, “Embodiment and narrative: Practices for
Department of Mechanical Engineering, UNC CharlotteA network analysis of the Twitter-Rxiv ecosystem for purveyors of science misinformation in preprints on the COVID-19 pandemicAbstractThis paper illustrates the final research product resulting from a team of diverse students of manyeducational stages and backgrounds in cyber intelligence-based research. We chose a real-worlddataset of discussion of scientific preprints on SARS-CoV-2 virus and COVID disease on Twitter™. The selection of the real-world dataset was driven by: (a) misinformation regardingCOVID-19 disease and SARS-CoV-2 virus is rampant and undermines our ability to recoverfrom the pandemic, (b) unfounded and false health-related claims are spreading on social
participatedin a robotic unit during their teacher preparation course, designed a lesson plan incorporatingrobots, and completed approximately 30-minute structured interviews. In the interviews,informants were invited to reflect on their processes of: (a) robot design, (b) robot assembly, (c)robot programming, and (d) lesson design, as well as on the challenges they faced and how suchwere overcome, and what they learned about STEM learning and teaching. As we used aninterview guide approach in which broad categories of interview questions along with specificinterview questions are specified before conducting the interview, but allowance can be made fortailoring questions to probe deeper into areas of interest [41]. The six study cohorts share manysame
[3] R. Fry, B. Kennedy, and C. Funk, “Stem jobs see uneven progress in increasing gender, racial and ethnic diversity,” Pew Research Center, pp. 1–28, 2021. [4] A. Burke, A. Okrent, K. Hale, and N. Gough, “The state of us science & engineering 2022. national science board science & engineering indicators. nsb-2022-1.” National Science Foundation, 2022. [5] K. Watson and J. Froyd, “Diversifying the us engineering workforce: A new model,” Journal of Engineering Education, vol. 96, no. 1, pp. 19–32, 2007. [6] R. C. Tillinghast and M. Mansouri, “Identifying key development stages of the stem career pipeline,” IEEE Transactions on Technology and Society, vol. 3, no. 1, pp. 58–66, 2022. [7] T. W. Dillon, H. L. Reif
and their association with career interest in STEM,” International Journal of Science Education, Part B, vol. 2, no. 1, pp. 63–79, 2012.[5] Y. S. George, D. S. Neale, V. Van Horne, and S. M. Malcom, “In pursuit of a diverse science, technology, engineering, and mathematics workforce: Recommended research priorities to enhance participation by underrepresented minorities,” American association for the advancement of science, 2001.[6] N. Gonzalez, L. C. Moll, and C. Amanti, Eds., Funds of Knowledge: Theorizing Practices in Households, Communities, and Classrooms. New York: Routledge, 2005. doi: 10.4324/9781410613462.[7] P. Bell, L. Bricker, S. Reeve, H. T. Zimmerman, and C. Tzou, “Discovering and Supporting
learningcomforts. However, board games, align well with engineering and computing, and are lessintimidating for faculty to even attempt to learn. Still, physical learning might be an area of futureresearch in the space of role reversal.References [1] A. L. Beach and M. D. Cox, “The impact of faculty learning communities on teaching and learning,” Learning Communities Journal, vol. 1, no. 1, pp. 7–27, 2009. [2] T. Lowe, “An experiment in role reversal: teachers as language learners,” ELT Journal, vol. 41, no. 2, pp. 89–96, 1987. [3] B. A. Beyerbach, “Developing a technical vocabulary on teacher planning: Preservice teachers’ concept maps,” Teaching and Teacher Education, vol. 4, no. 4, pp. 339 – 347, 1988. [Online]. Available: http
Awards, Grants, and Fellowships Awarded 7 6 Pursued Graduate Schoolb 8 - Invention Disclosures, Patent Applications 2 - N = 27 total students (17 Undergraduates and 10 Graduates) a Students enrolled as undergraduates during their first semester of the IRES program are considered as such within the scientific outcomes. b Only applicable to students considered as undergraduates at the start of the program. TABLE
., “Active learning increases student performance in science, engineering,and mathematics,” Proceedings of the National Academy of Sciences, vol. 111, no. 23, pp. 8410–8415, 2014, doi: 10.1073/pnas.1319030111.[4] National Research Council, Division of Behavioral and Social Sciences and Education,Board on Science Education, and N. Kober, Reaching Students: What Research Says aboutEffective Instruction in Undergraduate Science and Engineering. Washington, D.C., UnitedStates: National Academies Press, 2015.[5] E. Seymour and A.-B. Hunter, Eds., Talking about Leaving Revisited: Persistence,Relocation, and Loss in Undergraduate STEM Education. Cham: Springer InternationalPublishing, 2019. doi: 10.1007/978-3-030-25304-2.[6] L. R. Lattuca, I
implementing theengineering design process into engineering problems. The education class was a foundationsclass in education. In collaboration 1, engineering and education students collaborated to developand deliver engineering lessons to fourth or fifth graders. The original model was for theelementary students to come to campus for an engineering field trip (Figure 2a), which wasadapted starting in the spring 2020 semester due to the COVID-19 pandemic to includeasynchronous, online, and onsite engineering lessons (Figure 2b), based on the progression of thepandemic (Table 1) (a) (b)Figure 2. Collaboration 1 lessons during a field trip to campus (a) and at the elementaryschool (b
engineering studentsdevelop a specific way of thinking and approaching problem-solving that is characterized by curiosity,connections and a focus on creating value [5]. By cultivating an entrepreneurial mindset, engineeringstudents can learn to be more creative, adaptable, and resilient in their professional and personal livesregardless of whether they choose to become entrepreneurs or intrapreneurs. Because of the seeminglynatural overlap between makerspace skill development and EML, faculty development efforts that mergethe two frameworks have been created. B-FAB, or the Bucknell Fabrication workshop, was a 3-dayexperience for faculty and staff to introduce makerspace equipment, discuss pedagogy, and plan forclassroom implementation [6]. The Kern
approach to examining students’ epistemologies in thecontext engineering design. Studies of students’ epistemologies suggest a gap between theirprofessed epistemologies (i.e., their stated beliefs about knowledge) and their enactedepistemologies (i.e., what one might deduce about their beliefs from their behaviors). Thisresearch examines that gap in the context of design problem solving. We conducted focus groupsin which we asked students to (a) discuss their responses to a paper survey (professedepistemologies) and (b) evaluate engineering concepts, as well as the rationales behind theconcepts, in a set of engineering vignettes (enacted epistemologies). Preliminary findings suggeststudents often expressed hesitance for dominant epistemologies in
constructionworkers.LIMITATIONS AND RECOMMENDATIONS FOR FUTURE RESEARCHOne limitation of this study is the limited number of Specialty Field Leaders participants. Futureresearch is suggested to expand the data pool and investigate the human factors of more FieldLeaders from other specialty trades.REFERENCES[1] A. R. Chini, B. H. Brown, and E. G. Drummond, “Causes of the Construction Skilled LaborShortage and Proposed Solutions”. ASC Proceedings of the 35th Annual Conference, CaliforniaPolytechnic State University - San Luis Obispo, California, USA, April 7 - 10, 1999. pp 187 – 196[2] Associated General Contractors of America (AGC), (2018). Worker Shortage SurveyAnalysis. Retrieved from: 2018_Worker_Shortage_Survey_Analysis.pdf (agc.org)[3] Associated General Contractors
we take a different tack, wanting to identify the nexus, or common ground, ofInnovative and Entrepreneurial self-efficacies, and Innovative and Entrepreneurial behaviors.Thinking about common ground is a useful lens with which to look at the intentional or focusedcreativity of engineers, whether they are working in new or existing enterprises. First, we showthe development of this intersectional/nexus concept (which we call Embracing New Ideas, ENI)in terms of measures of self-efficacy (ENI-SE; consisting of six items, with a Cronbach’s Alphaof .85) and behavior (ENI-B; consisting of five items, with a Cronbach’s Alpha of .80). Thenbased on Social Cognitive Career Theory (SCCT), we model ENI-B (our dependent variable) asa function of ENI-SE
to feel comfortable with both their peers and their TA tobe able to recover from a setback quickly. 1. Student experiences a setback (lab does not go as planned). 2. Student looks to a) lab partner(s) or peers, and/or b) TA, and/or c) class and lab materials to decide how to respond. 3. Student's ability to move past the setback depends on whether a) others experience the same setback, b) others normalize setbacks, and c) they know where to look to help them troubleshoot. These factors impact whether they can effectively manage their frustration in the moment.Figure 1. Student Response to Setbacks in Lab Settings FlowchartConclusion To summarize, students’ ability to recover from