environment are notobserved or learned. We believe the use of the first-person shooter perspective, or in the case ofcell culture “first-person seeding”, can be used to improve instructional design and scalability ofthe course. A BFigure 1: Biological Safety Cabinet environments (A) and (B) depict a group of trainees attempting toobserve a trainer operating in the workspace.course description and teaching environmentCellular Engineering Laboratory is a three-credit, required course that is offered in the fall andspring semesters of junior year. The objective of this course is to provide a hands-on opportunityin maintaining cell cultures and using them as a tool in biomedical research. Together
subsidiary competencies which are: (i)consistent with the text of the student outcome, and (ii) expressed as student work in thecurriculum. Thus, performance indicators provide the SO committee with targeted, specific,capabilities and/or experiences for which to assess student attainment of the SO in the Program.Our Program’s current set of performance indicators, for illustration, is given in Appendix A.(In our Program’s enumeration scheme, SO-3.b is the second performance indicator for SO 3.)Performance indicators are useful, and five observations based on our Program’s experience areoffered here. The first observation is that the text of a given performance indicator should hewclosely to the specific ABET language for the SO. The goal for a set
. Traditional dimensions and tolerances. b. Types of traditional tolerances. c. An interesting example/problem of stacked tolerance. d. Inadequateness of traditional dimensions & tolerances. e. GD&T symbols and GD&T standards.To be able to present the class infusion in approximately twenty-five minutes, the paper startswith a short introduction of traditional dimensions and tolerances. Also, to raise students’interests in dimensioning and tolerancing, an example of stacked tolerance is introduced. A keydesign example is then given to explain the limits of only using traditional dimensioning andtolerancing, and the need of ASME GD&T Standards is finally introduced. A field test wasperformed in a class of introduction to
% thSecond Exam Th, Nov 8 , 2018, 3:30pm–4:45pm 100 30% thComprehensive Final Exam Sat Dec 8 , 2018, 2:15pm–4:45pm 150 35% 9 assignments plus discussed problem 10 each 10%Assignments/discussion posted over the week.Total 100 Table 4. Grading Structure Letter Range % Letter Range % Letter Range % A 93 or above B 83-86 C
using theseincluded elements to create large, complex questions (not shown here). Note the ability to rendermathematical formulae by enclosing an equation in LATEX format with dollar signs ($).Design requirementsThe drawing tool was implemented based on the following design requirements: (a) question generators are specified by markup (and optional code), and not as a graphical tool, (b) question generators allow for randomization, (c) the grading algorithm supports multiple correct answers, (d) questions are easily accessible to students with no special tools.(a) Question generator specified entirely as markup (and optional code)In PrairieLearn, question generators are specified entirely as HTML markup (and optional Pythoncode for
issues, elevated blood pressure or epilepsy were ineligiblefor participation.Virtual Reality Simulations:The virtual environment contained three burning facilities from low to high-intensity level offire. The three-dimensional models: 1-furnished cabin (Figure 1); 2- morgue room (Figure 2a &b); and 3- survival old house (Figure 3 a, b, & c) were generated from Autodesk’s Revit 2020,modified in 3D studio Max, Maya, and Cinema 4D, and are available on Unity game engine’sasset store for free of charge. Unity’s particle effect feature generated a localized ring of fire, andwall of fire effect with accompanying sound effects.Figure 1. Furnished Cabin (Modified from J.Kaspari, Unity) virtual scene with ring of fire effectThe participants
most impressive of all 12 projects, group 2 designed and manufactured an electric ceilinghoist with a triple gear reduction producing an overall gear ratio of 52:1. Their engineeringanalysis was a corroboration between hand calculations and SolidWorks simulation. Each shaft,gear, and bearing support was fully designed and then machined using an in-house CNCmachine. Figure 5 below is a picture of their machine during testing and assemble drawing. (a) (b) Figure 5. Electric ceiling hoist from group 2; (a) testing, and (b) assembly drawing.B. Sample 2: Group 3The students in group 3 did not have the level of machine shop experience observed in group 2,however their hoist managed perform reasonably well. This
simulation result Arrived at correct measurement OR B simulation result Build circuit AND simulation wiring C diagram correctly Build circuit OR simulation wiring D diagram correctly Nothing correct FIn the case of the lab reports, assignments were graded Satisfactory Quality (SQ) or NotSatisfactory Quality (NSQ) with one missed spec resulting in a NSQ report. At the end of thesemester, the number of SQ reports determined students’ grade on the report component of the lab,according to Table 2. The detailed list of
Paper ID #30261Addressing First-Year Interest in Engineering via a Makerspace-BasedIntroduction to Engineering CourseDr. Brian Scott Robinson, University of LouisvilleDr. James E. Lewis, University of Louisville James E. Lewis, Ph.D. is an Assistant Professor in the Department of Engineering Fundamentals in the J. B. Speed School of Engineering at the University of Louisville. His research interests include paral- lel and distributed computer systems, cryptography, engineering education, undergraduate retention and technology (Tablet PCs) used in the classroom.Mr. Nicholas Hawkins, University of Louisville Nicholas
aims to provide national data and trends amongABET-accredited undergraduate engineering programs. (a) (b) Figure 2. (a) Summary of Retention Benchmarks (BM) 1 through 3, among student ethnicities and genders, legend is shown on the left and data points or fluctuations between the two years are not shown (b) Benchmark 4, showing interquartile ranges of BM1 through BM3. The bottom and top blue lines indicate lower and upper quartiles respectively, while the middle red lines indicate medianThe data from the first 3 benchmarks are summarized in Figure 2(a); it
of the ten winning teams in Verizon’s ’5G EdTech Challenge’, contributing in the development of several educational virtual reality applications.Dr. Nikos Makris, University of Thessaly Nikos Makris is a Research Engineer working for University of Thessaly, Greece. He received his B. Eng. in 2011, his M. Sc. degree in Computer Science and Communications in 2013 and his PhD in Electrical and Computer Engineering in 2019 from the same department. Since 2011, he has been participating in several collaborative research projects with University of Thessaly. During the summers of 2018 and 2019, he was a visiting scientist in New York University (NYU) working in the outreach activities of the COSMOS project. His
2020].[2] "Closing the Skills Gap 2019," Wiley Education Services & Future Workplace, Louisville, KY, 2019.[3] C. Richard, K. Ramachandran and I. Pandoy, "Looming talent gap challenges semiconductor industry," Deloitte-SEMI, 2018.[4] "The Skills Gap in Wireless Infrastructure Training and Education: A Strategy for Improvement," Wireless Infrastructure Association , 2016.[5] "TUEE Transforming Undergraduate Education in Engineering Phase I: Synthesizing and Integrating," ASEE, Arlington, VA, 2013.[6] B. S. Bloom, Taxonomy of educational objectives: The classification of educational goals, New York: Longmans, Green, 1956.[7] D. R. Krathwohl, B. S. Bloom and B. B. Masia, Taxonomy Of Educational Objectives, Handbook II
. A. N. Amaral, “Team assembly mechanisms determine collaboration network structure and team performance,” Science, vol. 308 no. 5722, pp. 697-702, Apr. 2005.[4] D. A. Harrison, K. H. Price, and M. P. Bell, “Beyond relational demography: Time and the effects of surface-and deep-level diversity on work group cohesion,” Academy of Management Journal, vol. 41, no. 1, pp. 96-107, Feb. 1998.[5] B. Mazur, B. Mazur, and P. Biatosticka, “Cultural diversity in organisational theory and practice,” Journal of Intercultural Management., vol. 2, no. 2, pp. 5–15, 2010.[6] K. J. Cross and S. L. Cutler, “Engineering faculty perceptions of diversity in the classroom.” In ASEE Annual Conference and Exposition
, C. (2018). Inside Higher Ed. Retrieved from https://www.insidehighered.com/news/2018/10/12/about-three-quarters-all-faculty- positions-are-tenure-track-according-new-aaup[3] Ginder, S. A., Kelly-Reid, J. E., & Mann, F. B. (2019, January). Enrollment and Employees in Postsecondary Institutions, Fall 2017 and Financial Statistics and Academic Libraries, Fiscal Year 2017. Retrieved February 1, 2020, from https://nces.ed.gov/pubs2019/2019021REV.pdf[4] Rogers, C. B., McIntyre, M., & Jazzar, M. (2010). Mentoring adjunct faculty using the cornerstones of effective communication and practice. Mentoring & Tutoring: Partnership in Learning, 18(1), 53–59.[5] Smith, C. (2003). Working systemically
C. Ifstudents apply the knowledge to a project, they are at a B grade level. Finally, if students achievehigh external value with their project, they will receive the grade of an A.Choosing a Team and TopicAs students decide on learning objectives, most of the learning is based around an innovationproject that teams choose. At the beginning of the semester, students look atcardiovascular-related funding opportunity announcements from agencies like National ScienceFoundation and National Institute of Health to determine projects of interest. From there, studentspitch project ideas and form teams based around the projects [20]. Students are not evaluatedbased on their ability to solve the problem presented in the funding opportunity
tools included can be found in Table 2) was deemed sufficient toconduct a modularity analysis capable of producing non-obvious makerspace design advice. Thisassumption is based on a modularity analysis done by ecologists Oleson and Bascompte onplant-pollinator networks where the authors found nested and modular structures developed fornetworks larger than 50 species [36]. The 23 tools include things such as general computing andprinting, hand tools, electronics, benches, lathes, mills, and senior design workstations.Figure 1: A small-scale representation of the makerspace network (a), the resultant digraph made of the interactions between students and tools in the space (b), and the documentation of interactions into
120 100 * * 80 60 40 20 0 Appl Eng S Chem Eng Civil Eng Env Eng Math OtherFigure 9. Comparison of grades between 2015 and 2019, shown by topic (A), year (B) andmajor (C) for exam one. Those significantly different (two-sided students t-test, p<0.05)between years are annotated with an asterisk. Page 15 of 21
in BCCalculus at a high school in a mid-sized city in the intermountain west of the United States. Atotal of 17 students participated in filling out each survey, although four students onlyparticipated in one portion of the data collection. The pre-activity survey and part 1 of the post-activity survey asked students to define,describe, and diagram how they think mathematicians/scientists/engineers create a mathematicalmodel (see Appendix B for survey questions). The analysis of these questions involved adirected content analysis approach [20]. One researcher used the six steps of the GAIMMEmodeling process [15] for the theoretical framework. Student responses were divided intophrases (subsections of responses separated by punctuation
Technology Degrees”. References[ 1] A. W. Dean, R. Landaeta, K. B. Sibson, V. Jovanovic, C. Tomovic. “A pathway to completion for pursuing engineering and engineering technology degrees”, National Science Foundation Award # 1742118, funded by the Division of Undergraduate Education (DUE), Website. https://nsf.gov/awardsearch/showAward?AWD_ID=1742118 (accessed January 30, 2020)[ 2] Department of Veterans Affairs “EducNation 2017 - Department of Veterans Affairs education program beneficiaries: FY2000 to FY2016”. 2017. Website. https://www.va.gov/vetdata/docs/Utilization/EducNation_2017.pdf (accessed January 30, 2020)[ 3] L. M. McAndrew, S. Slotkin, J. Kimber, K
, Ph.D. is an Assistant Professor in the Department of Engineering Fundamentals in the J. B. Speed School of Engineering at the University of Louisville. His research interests include paral- lel and distributed computer systems, cryptography, engineering education, undergraduate retention and technology (Tablet PCs) used in the classroom.Dr. Brian Scott Robinson, University of Louisville c American Society for Engineering Education, 2020Employment of Active Learning Pedagogy Throughout a Makerspace-Based, First-Year Introduction to Engineering CourseAbstractThis Complete Evidence-based Practice paper is focused on the development and implementationof active learning pedagogy applied within
each behavior:1) student behavior without UORs, 2) instructors’ beliefs about students’ behavior without UORs,3) student behavior using UORs, and 4) instructors’ beliefs about students’ behavior using UORs(Fig 1a). Student and instructor responses for each item in List 2 were accrued (Fig 1b). (a) (b) (c)Fig. 1. Plots of survey results. (a) Histograms of student (left, red) and instructor (right, blue) responses for copying textbook homework solutions(List 1, question 7) without using UORs (top) and using UORs (bottom). The left and right vertical axes are normalized to the total number of validstudent and instructor surveys
expectedlearning outcomes mentioned above.To understand these tasks, let us describe a typical 2-day week: a) quiz on the reading of theweek followed by lecture with added examples on that topic (Tuesday); b) in-class activities(ICAs) where students practice the part of the UX process taught that week (Thursday); c)project group meetings with the facilitation of the TAs (in lieu of office hours). Lecture timeis augmented with complementary activities, such as ungraded polling questions (usingmentimeter.com [36]), real-world examples with some brief activity, and mini individualpresentations of good-bad-ugly UX examples (GBUX). In-class activities (ICAs) arecomplemented with sharing design artifacts to the whole class (using sharypic.com [37]) andmini
12 12 12 Nº Students per 10 or 11 9 or 10 7 or 8 Team 6 or 7 6 or 7 6 or 7There is no consensus on how many members should a team have. While Oakley, B., Felder, R.M., & Brent, R [14] recommend three to four people, Slavin, R.E [15] recommends teams ofbetween two and six members. In this course students present their outcomes throughout thesemester to the rest of the class (three instances during the semester). Each of these presentationstake place during one week in periods of three 80 minutes class sessions. Because there are 12teams per section it is possible to revise four teams in each of the 80 minutes classes. This leavesus with a fair
(.80) group (n=63)Table 7. Two-way repeated measures ANOVA for design self-efficacy and explicit designknowledge constructs, ill-structuredness and framing. Significant differences are bolded. Source of variance SS df MS F p η2 Design self-efficacy Between-subject effect Base. vs. Impl. (A) .00 1 .00 .01 .95 .00 Error 114.66 123 .93 Within-subject effect Semester Start/End (B) 1.93 1 1.93 5.03 .03 .04 A*B .79 1 .79 2.05
workforce. The SEECS implementation of that grant programprovides scholarships to selected undergraduate students of engineering and computing sciences atGannon University. Students are recruited as incoming freshmen, and are eligible for retention in theSEECS program so long as program requirements are met, including maintenance of a minimum 3.0GPA. As the grant activity has proceeded, it has been noted that students who fail to achieve a grade of“B” or better in Calculus I, Calculus II or Physics 1 have typically failed to maintain an overall 3.0 GPAas well. There is thus an interest for SEECS in providing additional academic assistance to our studentsin support of GPA maintenance, leading to better employment and/or graduate school opportunities
modulesare completed in the spring quarter and the third module in the summer session.(b) Goal and Learning Objectives: The course seeks to cultivate students’ abilities to designsolutions to complex social problems on an international level. Students completing the coursewill be able to:(i) identify and evaluate the complexities of a social problem/design challenge by deconstructingits cultural, historical, political and socioeconomic domains;(ii) employ design thinking for social justice principles and asset-based methodologies indesigning for community capacity building(iii) demonstrate critical consciousness and cultural humility in working on multidisciplinary andmulticultural teams and(iv) produce clearly articulated, written and oral reports
work is to determine which themes relate to the gendermakeup of the team; for example, do female students take on more stereotypically female taskswhen they are the only woman on a team? Do women feel more competitive on their team whenthey are paired with one or more other female students? Ultimately, the aim is to determineexactly why women who are isolated on teams have been found to be more satisfied than womenwho are paired on teams. Eventually, these findings can be used to inform team formation, tobetter scaffold team projects, and to better understand female students’ negative experiences inorder to make teamwork a better experience for all students.References[1] B. Oakley, R. M. Felder, R. Brent, and I. Elhajj, “Turning student
mentions of unfamiliar vocabulary words and confusing wording unrelated tovocabulary were coded but did not lead to any modifications on the test. Most words that wereidentified as unfamiliar (angular acceleration, linear acceleration, position vector) are consideredto be standard physics vocabulary and therefore did not need to be clarified.One of the distractors in question 28, choice B, was identified by three students as implausible, a“throwaway answer.” The question and its answer choices are shown in Fig. 3. For one studentthe similarity of answers B and C became a substantial distraction. “I feel like B and C are the same and you can only pick one answer. I think it’s a trap. Because I feel like the spiral is a complex curve or
topics related to "comfort in the ChemE major", camp attendeesentered the camp (Pre-Camp) with approximately the same average rating that non-campersentered the sophomore year (Pre-Sophomore). However, from Pre-Camp to Pre-Sophomore, therating of campers increased by 0.31 points (p=0.02), so campers entered the sophomore yearwith a 0.34 point higher composite rating than non-campers on average. Over the course of thesophomore year, both the campers and non-campers showed a similar small, non-significantdecrease in the average rating (0.09 point decrease, p=0.47 for campers and 0.12 point decrease(p=0.27 for non-campers). Figure 2. Average student survey ratings of (a) "curriculum preparedness" and (b) "comfort in ChemE major". Error bars
: Personality, well-being, and self-efficacy,” Scand. J. Psychol., vol. 52, no. 1, pp. 43–48, Feb. 2011, doi: 10.1111/j.1467-9450.2010.00826.x.[9] Y. Tong and S. Song, “A study on general self-efficacy and subjective well-being of low SES-college students in a Chinese university.,” Coll. Stud. J., vol. 38, no. 4, pp. 637–643, 2004.[10] M. Sherer, J. Maddux, B. Mercandante, S. Prentice-Dunn, B. Jacobs, and R. Rogers, “The Self-efficacy Scale: Construction and Validation,” Psychol. Rep., vol. 51, pp. 663–671, 1982.[11] P.-H. Hsieh, J. Sullivan, D. Sass, and N. Guerra, “Undergraduate Engineering Students’ Beliefs, Coping Strategies, and Academic Performance,” vol. 80, no. 2, pp. 196–218, 2012.[12] C. Vogt, D. Hocevar, and L. Hagedorn, “A