solicitedfeedback from 13 students who had participated in similar exam review activities in the Winter2021 offering of the heat transfer course using the same survey. The survey results aresummarized below. Note that the Winter 2021 students completed the survey in the academicyear following the completion of the course, whereas, at the time of writing this paper, theWinter 2023 students have completed one survey after their first exam.Likert Scale Survey QuestionsSelect your level of agreement with the following statements:(1 - Strongly Disagree, 2 - Disagree, 3 - Neutral, 4 - Agree, 5 - Strongly Agree, DNR - Do NotRemember) A) Participation in the exam review activity improved my performance on the exam. B) The questions discussed and/or solved as
2022, three sections taught by two instructors were included in the study(Table 1). Both instructors have more than 8 years of experience in teaching Fluid Mechanicsand related mechanical engineering courses.Table 1. Description of the three student groups participating in the study: the number ofstudents, type of assignments/assessments, and instructors assigned to each group. Groups No. of Students Assignments Instructor Traditional (TRAD) 100 ● No in-class activities A ● Regular homework Active Learning 100 ● In-class activities B (AL
target 1 hour print time.The files were then printed using PLA filament. Examples of printed images are shown in Figure2 (c), (d) and (e).A page modeling the customer facing portion of zyBooks with a test for the file distribution wasbuilt on our platform. Sections in accordance with zyBooks' pedagogy were written supportingchosen test images, shown in Figures 1(a), (b) and (c). The .STL files of the test images werehosted on an internal file hosting system, and links embedded into the test page.(a)(b) (c)Figure 1:(a-c) Examples of zyBook pages with STL link embedded at the bottom(a)(b)(c) (d
in Engineering Education Symposium, Cape Town, South Africa, 2019, pp. 10-12.[7] L. Ballesteros-Sanchez, I. Ortiz-Marcos, and R. Rodriguez-Rivero, “Investigating the Gap Between Engineering Graduates and Practicing Project Managers,” Int J Eng Educ, vol. 37, no. 1, pp. 31-43, 2021.[8] B. W. Tuckman, “Developmental Sequence in Small-Groups,” Psychol Bull, vol. 63, no. 6, pp. 384-399, 1965.[9] P. Hunsaker, C. Pavett, and J. Hunsaker, “Increasing Student-Learning Team Effectiveness With Team Charters,” J. Educ. Bus., vol. 86, no. 3, pp. 127-139, 2011.[10] J. R. Aaron, W. C. McDowell, and A. O. Herdman, “The Effects of a Team Charter on Student Team Behaviors,” J. Educ. Bus., vol. 89, no. 2, pp. 90
integrated with thedesign interface as well such that all that is needed to switch between the two is to toggle.It will be important for students to learn the workflow of taking a part from CAD model tocompleted manufacturing setup before endeavoring into more nuanced DFM concerns related tomachining. Therefore, the first CAM exercise students should partake in is following along to anin-class exercise of creating a basic milling program. In this exercise, students will: a) Apply CAD skills to create a 3D model for a part-stock-vise setup b) Create a “machining setup” by defining cuttable areas and sequencing a series of simple machining operations to rough out and subsequently finish the part with a finer tool. c) Run a successful
introduce the concept of batch size as it pertains to manufacturing. We can use thefollowing definitions: • Batch – A group of products that are manufactured simultaneously. • Transfer batch – A group of products that are transferred from one operation to another as a group. A transfer batch is a subset of a batch.As an example 1 of how batches work in manufacturing, consider Fig. 1. Assume that we havetwo products, X, and Y. Both products have to be processed in the same plant at the samestations, A, B, and C. The stations have the following capabilities: • Station A – Can process 1000 units of X per day and 2000 units of Y per day. • Station B – Can process 2000 units of X per day and 2000 units of Y per day
higher course grades in a material and energy balancestextbook [19]. In particular, A/B students tended to complete 95-100% of the reading, whileC/D/F students tended to complete 70-95%. However, the causal nature of this relationship hasyet to be explored. Also, data from more engineering textbooks, other than the three consideredin this paper, could be analyzed to produce a better understanding of student engagement for theengineering discipline.References[1] E. H. Hobson, “Getting students to read: Fourteen tips,” IDEA Paper #40 from ideaedu.org, 2004. [Online]. Available: http://www.ideaedu.org/Portals/0/Uploads/ Documents/IDEA Papers/IDEA Papers/Idea_Paper_40.pdf. [Accessed: Dec. 2016].[2] M. W. Liberatore, K. E. Chapman
second and third-year students andnearly 50% of fourth year students also agreed their instructor explained the design process in anew way, indicating that students are not receiving consistent instruction on the engineeringdesign process across the curriculum (Q9 results).Faculty SurveyThe faculty of the ME program completed a survey to assess and summarize how the designprocess is currently being taught across the curriculum. The ME faculty is comprised of 7 full-time faculty members, 6 tenured or tenure-track and one lecturer. All faculty memberscompleted the survey (Appendix B). The results of the survey are summarized in Table 4.The ME program at UVU includes 23 mechanical engineering courses; 20 of these are corerequirements and 3 are
discussions.Consider any arbitrary finite control volume across which work or heat transfer occurs. Split thefinite control volume into infinite grid points. Consider an infinitesimally small region in twodimensions, represented by grid point ‘x’, surrounded by four similar grid points, A, B, C and D,as shown in figure 1. Heat transfer to and from grid point ‘x’ occurs along arbitrarily chosendirections. The infinitesimal amount of heat transfer dQA through dQD occurs across the interfacesof grid points A through D respectively, over an infinitesimally small time interval. A dQA dQC
T‐nut and Bolt Combo Tnutz COMBO‐010‐A 305 Extension Cord Amazon 31536 1 80/20 1x1 36 Inch 8020.net 1010 4 USB A ‐ USB‐B Amazon B0000511K0 1 80/20 1x1 48 Inch 8020.net 1010 2 Pico 10AWG Wire Amazon 81106PT 1 80/20 1x2 36 Inch 8020.net 1020 5 48” x 48” 12‐gauge Steel Metalsdepot C1008 Cold Roll 1 80/20 1x3 36 Inch 8020.net 1030 2 0.5” x 6” x 10” Aluminum 6 inch 45 Degree Plate SteelNow 6061 Bare Plate 1
(InternationalOrganization for Standardization), ASME (American Society of Mechanical Engineers), andmany others oversee and constantly update these codes to keep up with technologicaladvancements in the industry. Capitalism is a worldwide phenomenon and the foundational economic system for amajority of countries all over the globe. Capitalism drives industry - and nowhere else is thismore visible than in the dramatic globalization of TNCs (Transnational Corporations) andmulti-billionaire corporations of today [1]. The engineering industry, as conceptualized by Lasiand colleagues as ‘Industry 4.0’, has evolved into a giant worldwide setup of organizations thatfocus on a) mass production capacity, b) fast and automated processes, and c) advertisementand
, force and torque calculations, which presents a monotonous and (a) Six-Bar Mechanism (b) PrototypeFigure 2: A Six-bar mechanism (left) and prototype of the device (right) for STS motion shown inthe two extreme configurationspassive way to introduce a fascinating subject. Creation of mechanism design concepts is the mostcrucial step in the machine design process and usually requires creativity and experience. Synthesisrepresents the highest level of Bloom’s taxonomy [28], thus mechanism design exercises are typi-cally postponed to later stages in the course, and are integrated into an end-of-the-semester designproject. By this time, it may be too late to cultivate students’ interest in synthesis or
assessment tool to measure students’ problem-solving skills independent oftheir performance on the course final project.AcknowledgementsWe would like to thank HHMI for their continued support of students from underrepresentedbackgrounds through our science education programs. 12References [1] S. D. Sheppard, R. L. Anderson, and T. W. Kenny, “Three stanford faculty write about change & engineering education.,” Advances in Engineering Education, 2021. [2] E. Seymour, A.-B. Hunter, R. Harper, and D. Holland, “Talking about leaving revisited,” Talking About Leaving Revisited: Persistence, Relocation, and Loss in Undergraduate STEM Education
, vol. 94, no. 1, pp. 131–146, 2005. [2] B. J. Sottile, L. E. Cruz, Y.-A. L. Burleson, and K. McLain, “It’s about time: An analysis of student activities under remote learning,” in 2021 ASEE Virtual Annual Conference Content Access, 2021. [3] T. H. Macan, C. Shahani, R. L. Dipboye, and A. P. Phillips, “College students’ time management: Correlations with academic performance and stress.” Journal of educational psychology, vol. 82, no. 4, p. 760, 1990. [4] E. A. Holman and E. L. Grisham, “When time falls apart: The public health implications of distorted time perception in the age of COVID-19.” Psychological trauma: theory, research, practice, and policy, vol. 12, no. S1, p. S63, 2020. [5] R. V. Adams and E. Blair, “Impact of
andgamifying formative assessment. Figure 4 shows the application pictures of the course syllabi atSt. Ambrose. b. Electronics a. Control Theory c. Heat TransferFigure 2. Course syllabus application pictures employed at St. AmbroseResults and DiscussionInstructor 1 Reflection:Background and Context:I am an assistant professor at a research-intensive university which is the largest university in USby student enrollment located in Texas, United States (about 73,000 students). I have beenemployed there since January 2020. During COVID-19, the biggest challenge I encountered wasstudent motivation and class attention. I started to evolve
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
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
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
attributes: (a) the necessary technical knowledge, skills, and abilities to work intheir chosen field, (b) an appreciation for how all kinds of diversity strengthen engineering andcomputer science as disciplines, (c) knowledge of how to act in inclusive ways and createinclusive environments within their fields, and (d) consideration of diverse populations who areimpacted by their professional practice [4]. The thermodynamics activity focused on helpingdevelop attributes a, b, and d.Both the quick and long student reflection pieces showed that students understood the overalleffect group composition can have on the design process, helping reiterate attribute (b). In thequick reflection, 73% of students indicated that group composition mattered when
* = p-value < .05While there were no significant differences across the periods of pre-COVID, transition,COVID/online, and post-COVID/return to in-person (Figure 1), the means of all the CATMEvariables dropped from the pre-COVID semesters to Spring 2020; whereas depending on thevariable, the means either increased or decreased again. However, following the return to onlinelearning in Fall 2021 and Spring 2022, teamwork effectiveness skills seemed to have anincreasing tendency.Figure 1. Plots of Means of the Treatment and Comparison over the several semesters forteamwork effectiveness categories a. Contributing to the team’s work b. Interacting with teammates c. Keeping the team on track d. Expecting
systematic review of the literature from 2011 to 2021,” Int. J. Educ. Res., vol. 114, pp. 1–17, Jan. 2022, doi: 10.1016/j.ijer.2022.101996.[4] E. Seymour, A.-B. Hunter, S. L. Laursen, and T. DeAntoni, “Establishing the benefits of research experiences for undergraduates in the sciences: First findings from a three-year study,” Sci. Educ., vol. 88, no. 4, pp. 493–534, 2004, doi: 10.1002/sce.10131.[5] H. Thiry, T. J. Weston, S. L. Laursen, and A.-B. Hunter, “The Benefits of Multi-Year Research Experiences: Differences in Novice and Experienced Students’ Reported Gains from Undergraduate Research,” CBE—Life Sci. Educ., vol. 11, no. 3, pp. 260–272, Sep. 2012, doi: 10.1187/cbe.11-11-0098.[6] R. Taraban, E. Prensky, and C. W
ofthe provided glycol-water mixtures is the best engine coolant for cold weather?" Studentsanalyzed engine coolant performance between three fluids given as unknown propylene glycol-to-water ratios, simply labeled A, B, and C. They were asked to perform viscosity, specific heatcapacity, thermal conductivity, and density for each to predict the propylene glycol-to-waterratios. The students performed experimentation during the first three labs by following theprovided protocol modified from the relevant ASTM procedure. Except for the density lab, eachteam of three students was provided access to eye droppers, a precision pipette, graduatedcylinders, and a precision scale. Then they were asked to develop their own protocol to measurethe density
withdrawfrom the course after the first few weeks due to the high programming requirements and difficultconcepts of data science algorithms. For example, in Fall 2021, 10 undergraduate studentsenrolled in this course in the beginning but 3 of them ended up dropping the course. ii) Thequality of the course projects of undergraduate students is much lower than that of graduatestudents in general. Based on students’ feedback, this is mostly because a) the undergraduatestudents have limited research experience and b) some of the undergraduate students need tospend lots of time and effort getting familiar with programming. What’s worse, the situation isn’tgetting better in Fall 2022 compared to Fall 2021 despite the efforts being made to designsimpler
programs ofdeveloping curiosity and an entrepreneurial mindset are similar to the objectives of the authors ofthis paper. However, the approach presented here is to explicitly develop curiosity before moreopen-ended real-world projects, in a “walk before you run” paradigm. Furthermore, the approachpresented in this paper, in which all students work on the same lab and design assignments, isefficient to teach to a large number of students.MethodsCourse and Project StructureThe Mechanical Engineering senior design course, MAE 156A&B, at University of California atSan Diego (UCSD) is taught in a 2-quarter sequence. During the first six weeks of the sequence,students work in pairs (with some groups of 3) on a mechatronic project that
Paper ID #38302Board 135: Undergraduate Projects/Research in a Liberal Arts CollegeDr. Niloofar Kamran, Cornell College ©American Society for Engineering Education, 2023UNDERGRADUATE RESEARCH IN A LIBERAL ARTS COLLEGENiloofar KamranAssistant Professor of EngineeringINTRODUCTION FIRST PROJECT, GESTURE- SECOND PROJECT, SPACE DEBRIS THIRD PROJECT, WIND TUNNEL CONTROLED PIANO• Cornell College is a liberal arts college with an
Paper ID #38567Quarter to Semester Transition: Lessons Learned from a MechanicalEngineering CaseDr. Amanda C. Emberley, California Polytechnic State University, San Luis Obispo Dr. Emberley is an Assistant Professor in Mechanical Engineering at California Polytechnic State Uni- versity, San Luis Obispo. ©American Society for Engineering Education, 2023Quarter to Semester Transition: Lessons Learned from a Mechanical Engineering CaseOverview During the fall of 2021, our university was mandated to make the transition from ourhistorical quarter-based system to a semester-based system, effective starting the
Paper ID #38966Work in Progress: Specifications Grading in a System Modeling CourseDr. Scott F. Kiefer, York College of Pennsylvania Scott Kiefer has spent the past twenty-one years teaching mechanical engineering at four different col- leges. He started at the University of Puerto Rico at Mayaguez in the traditional role of teaching and administering a modest graduate research program. At Trine University, a small private school in An- gola, Indiana, he focused on undergraduate education while teaching ten different courses ranging from introductory freshman courses to senior capstone. Scott also served as an advisor to
Paper ID #38757Mini-Lab Activities to Stimulate Students’ Conceptual LearningMr. Abdelrahman Atef YoussefProf. Shadi Balawi, Texas A&M University Dr. Balawi is an Instructional Associate Professor in the Mechanical Engineering department at Texas A&M. He teaches in the areas of materials, manufacturing, and design. His interests are in the areas of Engineering Design for Disciplinary STEM Educational Research, Team Formation and Team Skill Education.Matt Pharr, Texas A&M University Matt Pharr is an Associate Professor and J. Mike Walker ’66 Faculty Fellow in Mechanical Engineering at Texas A&M
Paper ID #37975Work in Progress: Introducing Process Simulators to MechanicalEngineering Seniors in a Thermofluids CourseProf. Ibrahim Hassan P.E., Texas A&M University at Qatar Dr. Ibrahim Hassan has over twenty years of research experience in the field of Energy and Thermal Fluid Sciences. His research interests include Heat Transfer, Multiphase Flow, Flow Assurance, and Turbomachinery.Mr. Omar Al-Ani, Texas A&M University at Qatar ©American Society for Engineering Education, 2023 Work in Progress: Introducing Process Simulators to Mechanical Engineering Seniors in a Thermofluids
Paper ID #36698Board 130: Continuous Improvement of a Mechanical Engineering SeniorSeminar Using Student FeedbackDr. Yucheng Liu, South Dakota State University Dr. Yucheng Liu (PhD, PE, FASME, FSAE) currently serves as the Department Head of Mechanical Engineering (ME) Department at South Dakota State University (SDSU) and holds the Sander Professor of Entrepreneurial Engineering in the Jerome J. Lohr College of Engineering at SDSU. Prior to joining SDSU in the fall of 2021, Dr. Liu was an Associate/Full Professor in the ME Department at Mississippi State University (MSU) since the fall of 2014. In that department, he