course innovationsrequired to perform the research will impact up to 500 students per academic year across twodisciplines, grade levels (first- through third-year students) and universities. The two treatmentclasses are being taught at University A and B, which represent different student populations.The Projects course is an introductory design course offered to all engineering students atUniversity B, but over 50% of the students are in the ME Department. Projects students range inlevel, with 85% being first- or second- year undergraduates. At University A, EM is a third-yearcourse that serves as an introduction to electromagnetic theory as applied to electricalengineering problems in wireless communications, transmission lines, and high
Curriculum (SEC).Goals and MethodsWe hypothesized that the long-term survival and success of the SEC can be traced to the generalframework presented in its foundational course, ES201, its positive influence on the facultymembers who have taught (and are teaching) the course, and the fact that faculty members enjoyteaching the foundational course. To test our hypothesis, we designed a simple survey to collectresponses from the faculty members who have taught the course about their reactions to and ex-periences in teaching ES201. Questions in this survey included a) Do you like teaching ES201? Why or Why not? b) How has teaching ES201 influenced the way you teach other courses? c) What do you believe to be the strengths and weaknesses of
. Tension setting - fixed arm B. Tension setting - moving arm C. Ball seat D. Elevation E. Ball Type F. Hight of catapult placement G. Reclining distance before releaseThe in-flight distance is measured using a tape measure to the closest inch. This is done visuallyby an inspector. As a result, the determined distance will also include variation from themeasurement system, mainly the inspector.Project DetailsThis project is an element of a required Quality Improvement course taught at a majorMidwestern public university. Below are some of the learning outcomes of this course that relateto the Six Sigma project: • Apply knowledge of engineering and statistical fundamentals to solve technical problems • Understand the
Cognitive Psychology, vol. 19, no. 4-5, pp. 494–513, 2007. [5] S. Freeman, E. O’Connor, J. W. Parks, M. Cunningham, D. Hurley, D. Haak, C. Dirks, and M. P. Wenderoth, “Prescribed active learning increases performance in introductory biology,” CBE-Life Sciences Education, vol. 6, no. 2, pp. 132–139, 2007. [6] S. Freeman, D. Haak, and M. P. Wenderoth, “Increased course structure improves performance in introductory biology,” CBE-Life Sciences Education, vol. 10, no. 2, pp. 175–186, 2011. [7] R. Heradio, L. de la Torre, D. Galan, F. J. Cabrerizo, E. Herrera-Viedma, and S. Dormido, “Virtual and remote labs in education: A bibliometric analysis,” Computers & Education, vol. 98, pp. 14–38, 2016. [8] M. Ergezer, B. Kucharski, and A
abilities of most high school STEM teachers. Pre-planning with these circuit boards was a significant factor in the project’s success (Appendix B).Results and AnalysisResults from the 2017 implementation cycle are presented in this paper; these results indicatethat the unit successfully met its three objectives. Results from the 2018 cycle, in which a fewimprovements to the unit were incorporated, will be included once they are available.Objective 1: Before starting the unit, all 59 students were given a survey with twenty statementsadapted from the Friday Institute highschool S-STEM survey [9], NGSS 21stCentury skills statements, and NGSSengineering design standards. Thesewere grouped according to threethemes: students’ interest inengineering (ex
sync FPro bus DAC VGA monitor (a). Top-level diagram of an FPro system (b). Software hierarchy of an FPro SoC system Figure 1. Hardware and software of an FPro system Processor module The processor module, shown as the red box in Figure 1(a), consists of a processor, amemory controller core, and RAM. It is the only part that is constructed from the vendor's IPcores. To be used in the FPro SoC platform, the processor core must exhibit the followingcharacteristics: 32-bit-wide data path
). Dr. Furse’s research has led to the development of a system to locate intermittent electrical wiring faults, and she is a founder of LiveWire Innovation. Her research also includes development of antennas to communicate with medical implants, and methods to predict statistical variability in bioelectromagnetic applications. Dr. Furse is a Fellow of the IEEE and the National Academy of Inventors. She has received numerous teaching and research awards including the Harriett B. Rigas Medal for Excellence in Teaching.Dr. Donna Harp Ziegenfuss, University of Utah Donna Harp Ziegenfuss, is an Associate Librarian in Graduate and Undergraduate Services in the J. Willard Marriott Library at the University of Utah. She has an
, and how these views uniquely affectunderrepresented or marginalized students. This conversation can lead to a better understandingof how best to create an inclusive educational system.AcknowledgementsThis project was funded by the NSF IUSE/PFE: RED grant #1730354.References[1] K. Deaux, “Reconstructing social identity,” Personality and Social Psychology Bulletin, vol.19, pp. 4-12, 1993.[2] S. Stryker, and P. J. Burke, “The past, present, and future of an identity theory,” SocialPsychological Quarterly, vol. 63(4), pp. 284-297, 2000.[3] E. H. Erikson, Identity and the life cycle. New York: International Universities Press, 1959.[4] M. B. Brewer, “The social self: On being the same and different at the same time,”Personality and Social
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). Systematic Literature Reviews in Engineering Education and Other Developing Interdisciplinary Fields. Journal of Engineering Education, 103(1), 45–76.Case, J. and Jawitz, J. (2004). Using Situated Cognition Theory in Researching Student Experience of the Workplace. Journal of Research in Science Teaching, 41(5), 415–431.Creamer, E. G., Burger, C. J., & Meszaros, P. S. (2007). A Cross-Institutional Comparison of Elements of College Culture That Promote Women’s Interest in Engineering at the Undergraduate Level. In NSF Human Resources Division Annual Meeting, 1.Gunderson, K. E., Bailey, M. B., Raelin, J. A., Ladge, J., & Garrick, R. (2016). The Effect of Cooperative Education on Retention of Engineering Students & the
sections in the Course Content module on which theytested poorly. Afterward revisiting these sections, the student can retry the Post-Assessment. Anexample question from the Post-Assessment is shown in Figure 2B.Figure 2: Example of THORS interface for Course Content (A) and Post-Assessment (B) [9].*Used with permission from THORS eLearning Solutions.In lieu of homework assignments, students were assigned THORS courses (Tab. 1)corresponding to hands-on and active lecture components. Students were given 3 weeks tocomplete each course. Their Post-Assessment score was established as the grade for the self-learning component of the course.Table 1: THORS courses assigned during semester. Students were given 3 weeks to completeeach course
with studentwriting/writers” was the first and second most common challenge chosen by department andinstructor survey participants, respectively. Eight of eleven department survey respondents saidtheir TAs of writing-intensive courses were not specifically trained to teach writing skills. Of theremaining three respondents, two were unsure, and the last respondent mentioned that TAs comefrom the English Department. Thus, none of our engineering departments appear to prepare theirTAs for writing instruction in their disciplines. (a) (b)Figure 1. Bar graphs showing department (Figure 1a) and instructor (Figure 1b) survey participants’ perceptions ofchallenges. The graphs show both the number of participants selecting a particular challenge and
SD Assessments n (hr:min:sec) (hr:min:sec) (hr:min:sec) Assignment 7. Widgets 1-6 1. Instructor A 25 0:30:07 0:24:48 0:07:32 2. Instructor B 13 0:19:28 Assignment 8. Widgets 7-15 1. Instructor A 25 0:37:50 0:33:44 0:05:49 2. Instructor B 14 0:29:37 Assignment 9. Widgets 16-18 1. Instructor A 24 0:58:25
to overcome. Theself-confidence in one's capabilities leads individuals to set challenging goals and havecommitment to overcome them. Bandura has identified four sources that contribute to enhancingthe perception of self-efficacy: (a) enactive mastery experiences (actual performances); (b)observation of others (vicarious experiences); (c) social persuasion, both verbal and otherwise; and(d) ‘physiological and affective states from which people partly judge their capableness, strength,and vulnerability to dysfunction’ [9-10].An important aspect of self-efficacy is that it relates to judgment of one's capabilities in a particulardomain [11]. This leads to the conclusion that high self-efficacy in one domain is not necessarilyrelated to high
; ethics, communication, and lifelong learning (B, F, G, and I).5 Inthe sections that follow, the modules implemented during three consecutive semesters, from Fall2017-Fall 2018 are outlined in more detail.Module 1: Truss Design & Testing ModuleThis module has two phases, each with a different kind of writing assignment. In the first phase,students analyze a given roof truss and conduct experiments on a small-scale physical model tovalidate their analyses. Most students in the course had prior experience with truss analysis, so thisactivity proved to be an effective vehicle for them to observe basic concepts in uncertainty. A shortdiscussion to introduce the module primes students with questions about how engineers design forsafety and whether
lecture, laboratory, and projectactivities. Student assessment and course improvements are also discussed. There are severalexpected outcomes from this curriculum enhancement:(a) A well-established instrumentation and interface course is now part of the ETEC curriculum.(b) The class will help meet the criteria 3 of the ABET-ETAC requirements.(c) Students will be exposed to real-time data acquisition and instrumentation applications in industrial environments using a LabVIEWTM based myDAQ board and a number of sensors such as motion, pressure, electromagnetic interference (EMI), thermocouples, EKG, and anemometer for both industrial, medical, solar, and wind energy systems.The corresponding LabVIEWTM Virtual Instruments (VIs) are
) (b)Figure 8: Multiple iterations of honeycomb design shown as (a) 3D models and (b) printed parts Figure 9: 3D printed diffuser with honeycomb insertThe third milestone, which occurred during week 11 of the semester, came after the finalassembly of the main structure of the water tunnel and included the mounting method forinterchangeable tests pieces into the test section. The initial design of this mounting method isshown in Figure 10a and is made up of three pieces. In this design, a stationary mounting bracketwould have been glued onto each wall and each interchangeable 3D printed test piece wouldinclude notches to snap into each end of the mounting bracket. As the design team developed aprototype for this initial
Linear Equations 13 Solving Systems of Equations with MatricesEach week, the worksheets were graded, and all solutions were scanned and stored in a database.Weekly quizzes were used to assess students’ learning. Areas of difficulties were identified aftermanually grading quizzes and worksheets.Results:Two main issues were identified in the graded worksheets: students’ difficulties with performingbasic math operations and students’ misconceptions.Examples of misconceptions and calculation errors found in students’ work: a) Students incorrectly factored 3 out b) Students incorrectly factorized an expression, by selecting an incorrect common factor c) Lack of knowledge on how to simplify a rational expression d) Unable to
expectations.References[1] R. B. Landis, Studying Engineering: A Road Map to a Rewarding Career, 4th ed., Anaheim, CA: Discovery Press, 2013.[2] S. A. Sorby, Developing Spatial Thinking, Boston, MA: Delmar Cengage Learning, 2011.[3] R. B. Guay, Purdue Spatial Visualization Test: Rotations, West Lafayette, IN: Purdue Research Foundation, 1977.[4] J. M. Hektner, J. A. Schmidt and M. Csikszentmihalyi, Experience sampling method: Measuring the quality of everyday life, Sage, 2007.[5] R. W. Larson, G. Moneta, M. H. Richards and S. Wilson, "Continuity, stability, and change in daily emotional experience across adolescence," Child Development, vol. 73, no. 4, pp. 1151-1165, 2002.[6] M. Csikszentmihalyi and R. Larson, "Validity and reliability of the
approximately 15-60 minutes; (b) At the first in-class meeting, students weregiven a concept quiz to ensure they watched the videos, and the remaining class time wasdedicated to reviewing the solutions to the quiz, reviewing the concepts in the videos, andsolving example problems; (c) After the first in-class meeting, students were provided with anoptional zero-credit practice quiz to prepare them for a second, more challenging quiz at thebeginning of the second in-class meeting; (d) After taking the challenging quiz and reviewing thesolutions during the second meeting, the remaining class time was dedicated to an active learningexercise called a "Team Battle" in which students competed in teams to complete problems asquickly as possible. Students in
: Belief revision, mental model transformation, and categorical shift,” … Handb. Res. Concept. Chang., pp. 61–82, 2008.[3] B. Rittle-Johnson, R. S. Siegler, and M. W. Alibali, “Developing conceptual understanding and procedural skill in mathematics: An iterative process.,” J. Educ. Psychol., vol. 93, no. 2, pp. 346–362, 2001.[4] D. Montfort, S. Brown, and D. Pollock, “An Investigation of Students’ Conceptual Understanding in Related Sophomore to Graduate‐Level Engineering and Mechanics Courses,” J. Eng. Educ., no. April, pp. 111–129, 2009.[5] T. A. Litzinger et al., “A cognitive study of problem solving in statics,” J. Eng. Educ., pp. 337–353, 2010.[6] P. S. Steif, J. M. Lobue, L. B. Kara, and A. L. Fay
systems and products that engineers build38. To answer these questions, we analyzed student data from three activities that representthe evolution of curriculum in a sophomore level Engineering and Sustainability course over thepast three years. The main goals for the activities were to a) increase students’ recognition ofsocial-political factors and stakeholder diversity that influences engineering (Research Question1); b) develop students’ empathy for diverse stakeholders (not directly addressed in this paper);c) increase students’ appreciation of the complexity of socio-technical systems (ResearchQuestion 2).MethodsCourse History The study took place in a required sophomore-level course in a Civil and
. W., & Pizzico, M. C., & Levy, B., & Nagel, R. L., & Linsey, J. S., & Talley, K. G., & Forest, C. R., & Newstetter, W. C. (2015, June), A Review of University Maker Spaces, Proceedings from 2015 ASEE Annual Conference & Exposition, Seattle, Washington. 10.18260/p.234422. Tomko, M., & Nagel, R. L., & Aleman, M. W., & Newstetter, W. C., & Linsey, J. S. (2017, June), Toward Understanding the Design Self-Efficacy Impact of Makerspaces and Access Limitations, Proceedings from 2017 ASEE Annual Conference & Exposition, Columbus, Ohio. https://peer.asee.org/277613. Penney, M. F., & Watkins, J. D., & Levy, B., & Linsey, J. S., & Nagel, R. L., & Newstetter, W. C
experimenting with the curriculum to reduce the number of engineering credit hours,introduce of a project-based design spine, and the creation of a variety of structured curricularpathways aligned to the interests of our students. As more engineering programs diverge fromthe dominant pattern we can begin to empirically examine the impact of our program designchoices and, in time, both close the leaky pipeline of women pursuing engineering degrees aswell as increase the migration into the degree.References[1] L. B. Cavagnaro and H. Fasihuddin, “A Moonshot Approach to Change in Higher Education: Creativity, Innovation, and the Redesign of Academia,” Lib. Educ., vol. 102, no. 2, 2016.[2] M. W. Ohland, S. D. Sheppard, G. Lichtenstein, O. Eris, D
common cuts needed by Facility 1. A typical frogcontains two or more of the cuts shown in Table 1. Table 1. Twenty-Four Common Rail Cuts Used in Frog Manufacturing in Facility 1 16' 6 9/32" 54' 7" 38' 3" 36' 6 5/8" 32' 4" 49' 7" 29' 10 ½” 63' 1" 54' 10" 25' 1" 30' 2" 63' 2" 30' 6" 16' 6" 26' 0" 15' 0" 24' 0" 51' 4" 62' 0" 35' 0" 59' 6" 39' 7" 46' 10" 45' 5"Figure 4 shows cutting of an 80' long rail to yield the desired cut lengths. Figure 4. A Rail Being Cut into Required Lengths for Use in Frog ManufacturingSample Problem 1.29' 10 ½" (A), 36' 6 5/8" (B), 38' 3" (C), 54' 7" (D
in Engineering Research and Learning,” in Cambridge Handbook of Engineering Education Research, A. Johri and B. M. Olds, Eds. New York: Cambridge University Press, 2014, pp. 713–730.[2] S. McChrystal, T. Collins, D. Silverman, and C. Fussell, Team of Teams: New Rules of Engagement for a Complex World. New York: Penguin, 2015.[3] 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: Cambridge, 2014, pp. 119–137.[4] D. H. Jonassen, “Engineers as Problem Solvers,” in Cambridge Handbook of Engineering Education Research, A. Johri and B. M. Olds, Eds. New York: Cambridge, 2014, pp. 103–118.[5] ABET
the student’s grade point averages. Therefore, a grade of 4 signifies an A. Table 4: Numeric Grade Values Numeric Value Student Grade Assigned A 4 B 3 C 2 D 1 F 0 4.1. Motivation in Freshman Cornerstone DesignFor each of the students examined, a linear regression was performed to determine which of thefive factors
statistically significant change from Year 1 based on two-tail z-test at 95% confidence.References1. Sinatra, G. M. “The “worming trend” in conceptual change research: The legacy of Paul R. Pintrich,” Educational Psychologist, vol. 40, issue 2, pp. 107-115, 2005.2. Farnsworth, C. B., R. W. Welch, M. J. McGinnis, G. Wright, “Bringing Creativity into the Lab Environment,” in ASEE Annual Conference and Exposition, Atlanta, Georgia, 2013.3. Ramos, R. F., “Introduction of Active Learning Techniques Increases Student Learning in a Systems Physiology Laboratory Course,” in ASEE Annual Conference and Exposition, Indianapolis, Indiana, 2014.4. Sieving, A. L., M. Pool, S. A. Jewett, T. Eustaquio, R. Madangopal, A. Panitch, K. Stuart, A. E. Rundell
, findmin-cut max flow, network topologies, etc. bottlenecks when traffic increases, best paths(ABET: a, b, c, e) for broadcasting to sensors, etc. Along with other topics covered this item covered network layer issues as wellIntermediate details on many wireless access Teaches students about various wirelesstechniques appropriate for IoT applications, technologies available and their capabilitiesincluding: WiFi, IrDA, Bluetooth, Bluetooth based on range, bit rate, performance, etc.Low Energy (BLE), IEEE 802.15.4, ZigBee, This lets students find a few technologies bestZ-Wave, UWB, LoRa, DSRC, DASH-7
State University. Her research focuses on (a) new literacies of online reading comprehension, particularly in complex and ill-structured learning domains, (b) teaching and learning in synchronous hy- brid learning environments, where physically present and remote participants interact in real time through such technologies as video conferencing tools and robots, and (c) the use of augmented reality in STEM education.Dr. Hannah Klautke, Michigan State University Hannah Klautke is a User Experience Research Associate with Usability/Accessibility Research and Con- sulting (Michigan State University Outreach and Engagement). She is involved in usability evaluations, focus groups, and information architecture projects for