discipline and the fundamental role played byprogramming throughout the electrical engineering profession. We also expect to transmit theimportance of effective teamwork and good communication skills for program development andmaintenance. We hope that the experience of this course will lead to greater enthusiasm forelectrical engineering and increased retention of students in the discipline.Course technology and structureThe Raspberry Pi model B computer was the device the students used for the hardware-basedassignments in Spring and Fall 2014 semesters, and the model 2B, which has faster processing,more USB ports, and more general purpose input-output (GPIO) pins, was used in Fall 2015.Both RPi’s have the necessary capability to design a number of
long by 3.5 cm wide - two short rectangular arms 24 cm long by 3.5 cm wideNext, take a servo motor and place it on the large rectangular base as shown in figure 3a. Spacethe motors about 17 cm apart. Trace around the motor and cut holes in the foam board for theservos. Make the holes for the servos a bit undersized so that the servos fit tight into the baseboard. You can experiment with different motor spacings and disk diameters to get the size/scaleof drawing you would like. If the motors are too close together, the scissor arms may reach toofar and the pen may run off the edge of the paper. (a) disks removed from servo motors (b) detail, servo horn taped to disk (c) reflectance sensor (d
of Materials Science and Engineering collectivelyrepresented 64% of the registrations. Registration by college Registration by role Engineering Undergraduate Arts and Sciences Graduate Business Faculty Library Science Staff Not Listed Other (a) (b) Registration
trends: (a) There was a trend ofchallenge rejection due to the risk of losing possible points, as noted in this characteristic answer:“I considered trying some of the design problems, but I did not want to risk losing points forinaccurate work”. Similarly comments refer to the possibility of grading design questions foreffort only, so that students would feel comfortable taking a chance with them. (b) Contrary toour original thought that “challenge” would represent a choice of the more difficult designproblems, students noted as challenge going from the more straightforward apply problems intothe analyze ones, as stated in this answer: “I chose the above problems because I wanted to makesure I understood the basics in the application part of the
in History and Philosophy of Science, vol. 40, pp. 431-438, 2009.[25] Institute for Dynamic Educational Advancement, "Science museums are disconnected from new science research," Institute for Dynamic Educational Advancement, 25 April 2011. [Online]. Available: http://www.idea.org/blog/2011/04/25/science-museums-are-disconnected-from-new-science-research/. [Accessed 12 January 2015].[26] K. M. Vandiver, J. M. Bijur, A. W. Epstein, B. Rosenthal and D. Stidsen, "A Museum Learning Lab," The Science Teacher, vol. 75, no. 4, pp. 41-43, 2008.[27] N. W. Feinstein and D. Meshoulam, "Science for What Public? Addressing Equity in American Science Museums and Science Centers," Journal of Research in Science Teaching, vol. 51, no
Georgia Tech Summer Undergraduate Program ofResearch in Electrical Engineering for Minorities. J. Engineering Education, 87: 321-325. (1998)5. K.B. Schowen, “Research as a Critical Component of the Undergraduate Educational Experience.” Assessing theValue of Research in the Chemical Sciences. National Research Council Report, National Academy Press: 73-81.(1998)6. E. Seymour, A.-B. Hunter, S. Laursen, and T. DeAntoni,. “Establishing the Benefits of Research Experiences forUndergraduates: First Findings from a Three-Year Study.” Sci. Educ., 88, 493-594. (2004)7. D.W. Mogk, “Undergraduate Research Experiences as Preparation for Graduate Study in Geology,” J.Geological Education, 41:126-128 (1993).8. J.R. Reisel, L. Cancado, D. Mitrayani, C.M
8. Manufacturing, Production, and Service Systems: 8–12 questions 9. Facilities and Logistics: 8–12 questions 10. Human Factors, Ergonomics, and Safety: 8–12 questions A. Hazard identification and risk assessment B. Environmental stress assessment (e.g., noise, vibrations, heat) C. Industrial hygiene D. Design for usability (e.g., tasks, tools, displays, controls, user interfaces) E. Anthropometry F. Biomechanics G. Cumulative trauma disorders (e.g., low back injuries, carpal tunnel syndrome) H. Systems safety I. Cognitive engineering (e.g., information processing, situation awareness, human error, mental models) 11. Work
theory. Social Psychology Quarterly, 224– 237.16. Carlone, H. B., & Johnson, A. (2007). Understanding the science experiences of successful women of color: Science identity as an analytic lens. Journal of Research in Science Teaching, 44(8), 1187–1218. doi:10.1002/tea.2023717. DeCuir-Gunby, J. T., Grant, C., & Gregory, B. B. (2013). Exploring career trajectories for women of color in engineering: The experiences of African American and Latina engineering professors. Journal of Women and Minorities in Science and Engineering, 19(3), 209–225. doi:10.1615/JWomenMinorScienEng.201300576918. Ko, L. T., Kachchaf, R. R., Hodari, A. K., & Ong, M. (2014). Agency of women of color in physics and astronomy
. Spears, R., Doosje, B., Ellemers, N. 1997. Stereotyping in the face of threats to group status and distinctiveness: The role of group identification. Personality & Social Psychology Bulletin, 23, (538-553).6. Boros, S. (2008). Organizational identification: Theoretical and empirical analyses competing conceptualizations. Cognition, Brain, Behavior, 8, 1-27.7. Dehing, A., Jochems, W., & Baartman, L. (2013). The development of engineering students professional identity during workplace learning in industry: A study in Dutch bachelor education. Engineering Education, 8(1), 42-64.8. London, B., Rosenthal, L., Levy, S. R., & Lobel, M. (2011). The influences of perceived identity compatibility and social support
. Ashok, K., David, L., Gupta, A. K. & Wilemon, D. L. Accelerating The Development Of Technology-Based New Products. Calfornia Manag. Rev. 32, 24–44 (1990).5. Sugar, W. A. What is so good about user-centered design? Documenting the effect of usability sessions on novice software designers. J. Res. Comput. Educ. 33, 235 – 250 (2001).6. Scott, J. B. The Practice of Usability: Teaching User Engagement Through Service- Learning. Tech. Commun. Q. 17, 381–412 (2008).7. Mohedas, I., Daly, S. R. & Sienko, K. H. Requirements Development: Approaches and Behaviors of Novice Designers. J. Mech. Des. 137, 071407 (2015).8. Mohedas, I., Daly, S. R. & Sienko, K. H. Design Ethnography in Capstone Design
B. Content Aspect: includes evidence of content relevance and representativeness of the construct domain C. Generalizability Aspect: evaluates the extent to which the scores and interpretations generalize to other groups, settings, and tasks D. Consequential Aspect: evaluates the implications of the use of the instrument and score interpretations as a foundation for taking actions (especially as it relates to issues of bias and fairness); and includes evidence for evaluating both the intended and unintended consequences of use and interpretation E. Structural Aspect: evaluates the fidelity of the scoring structure to the structure of the construct domain of interest F. External Aspect
very good directional solidification back toward the gate and riser. Critical fractionsolid time results are shown. On the right is an optional mold layout and riser design analyzed bythe students.In the result shown in Figure 10, the initial result was good as far as solidification and would befine for a one-of-a-kind part made in lab. SolidCast™ has an easy feature to determine amount ofmetal going to part and riser. In the initial layout design, the part alone weighs 0.041 lbs. whilethe total for part, gate and riser is 0.161 lbs., which is a yield of 25%. This is relatively poormold efficiency. The version on the right has several changes: a) the riser has been changed fromcylindrical to rectangular, b) the overall riser volume is
adaptive or more innovative ideas,respectively, to provide a situation in which it was more appropriate to take a particular ideationapproach that aligned with the situation. See Appendix B for an example of the Snow problemcontext framed both adaptively and innovatively.2.4. ProcedureStudents were randomly assigned to either the adaptive framing condition or the innovativeframing condition. In both conditions, the students participated in two sequential ideationsessions. First, all participants were given a brief introduction to the role of idea generation in thedesign process, and then each student was given a neutral version of one of the two designproblems. The students had 20 minutes to generate ideas individually for this first
.). San Francisco, CA : Jossey-Bass.14. De Laat, M., Lally, V., Lipponen, L., & Simons, R.-J. (2007). Online Teaching in Networked Learning Communities: A Multi-Method Approach to Studying the Role of the Teacher. Instructional Science: An International Journal of the Learning Sciences, 35(3), 257–286.15. Arbaugh, J. B., Cleveland-Innes, M., Diaz, S. R., Garrison, D. R., Ice, P., Richardson, J. C., & Swan, K. P. (2008). Developing a community of inquiry instrument: Testing a measure of the Community of Inquiry framework using a multi-institutional sample. The Internet and Higher Education, 11(3–4), 133–136. Week 1 DiscussionInstructionsWrite a
cohort of students, student’s academic course history was examined and the following variables created: total number of transferable credits earned cumulative transferable GPA calculated from all transferable credits earned grade (in GPA) in physics 1 grade (in GPA) in calculus 1 total number of credits in engineering earned GPA in engineering coursesStudent grades were converted to a grade point scale as follows: Letter grade Grade Point Equivalent A 4.0 A- 3.7 B+ 3.3 B 3.0 B
Latino/a, Asian or Pacific Islander, American Indian,Other, prefer not to answer)”. Participants self-identified as 63% white/Caucasian students, 1%black students, 13% Asian students; 4% Pacific Islander students; 6% Hispanic students; 1%Native American students; and 5% of students identified the category “prefer not to answer,other, or no response”Pre-survey versus post-survey ranking: “I have male/female models in engineering and/orscience.”a. “I have male models in engineering”: Strongly Agree Agree Neutral Disagree Strongly Disagree -3% 6% -1% 1% 3%b. “I have female models in engineering”: Strongly Agree Agree
more accurate tracking and will require more tracking time. Figure 7 Definition of the ROI and track points Any arbitral polygon shaped Region of Interest (ROI) can be defined by mouse clicking action (a). Once the ROI is defined, VML will automatically grid the ROI and locate tracking points within the ROI (b). Point data analysis: Users can also find three strain components (𝑒𝑥𝑥 , 𝑒𝑦𝑦 , 𝑒𝑥𝑦 ) at any point within the ROI by selecting the point with mouse clicking action. The location of the selected point and the strains measured at that point are displayed. (Fig.8). Figure 8 Definition of a point and strain measurement Users can select an arbitral point within the Region of
rho scores with that obtained previously. Pairs of raters aredirectly identified in the results section, however, triplets and quadruplets are identified bylettered groups to make presentation more streamlined. Table 3 shows the raters in each letteredgroup, by placing an “x” in the row of each rater included in that column’s group. For example,Group B consisted of Rater 1, Rater 2, and Rater 4. Table 3: Lettered Groupings of Raters Triplet Groupings Quadruplet Groupings Rater A B C D E F G H I J K L M N O Rater 1 x x x x x x x x x x Rater 2 x
students, in teams, were asked to answer questions about how to handle renovation expenses. The students had to write a report and do a presentation while abroad. b. Videologs: The students were tasked with recording 1 to 2 minute long educational videos of various locations we visited. The objective of this project was to encourage students to research the places we were going to in advance. They had to prepare and memorize a script prior to departure, and film at the location using a GoPro camera. The students were told to briefly comment on something interesting, engineering-wise and/or engineering-economics-wise. After the students
were asked to become familiarwith a few commonly used business concepts. An attempt was made to help the studentsappreciate that by understanding some basic business principles they could be viewed as more © American Society for Engineering Education, 2016 126 2016 ASEE Rocky Mountain Section Conferencevaluable to their managers. Grading was based on in-class participation, homework, a midtermexam, and a final exam. B. Student FeedbackAlthough student responses to this new approach were somewhat more positive than the previousfeedback, many students still did not consider the course to be
, Mechanics of Materials, Procedural Programming, and MATLAB.Each exam contains 70-80 multiple-choice questions that are all written in similar style to the FEexam. A few example questions are given below in Table 1: Table 1: Example questions and answers from the exam. Correct answers are indicated in bold Topic Question Multiple Choice Answers a) A cos wt Physics/Calculus If x=Acos(wt), what does velocity b) -A cos wt equal? c) -Aw sin wt d) Aw sin wt
0 0 A+ A A- B+ B B- C+ C C- D F A+ A A- B+ B B- C+ C C- D F Course Grade Going Into the Final Exam Course Grade Going Into the Final Exam (a) (b) Figure 5 Usage Based on Grade Going Into the Final Exam
in thecategories of technology (robotics, programming, etc.), videogames, and outdoor activities(hunting, camping, etc.). Digging deeper into videogames, the SYP students spend much moretime on that than the WIE students, as shown in Figure 1(b). 50 80 (a)%ofHobbiesListed 40 (b) %ofParticipants WIE% 60 WIE% 30 SYP
also to determine the scope, mission, and final deliverables.The outcome of the meeting generated the following design specifications for the Water QualityMonitoring System. The design must be: a) Compact and portable; b) Robust with corrosion protection; c) Comprised of a handheld unit with integrated graphical user interface and separate but connected apparatus with probes for deployment; d) Capable of measuring temperature, conductivity, color, dissolved oxygen, oxidation reduction potential (ORP), pH, flow rate, and nitrate levels in situ; and e) Capable of instantaneous review and logging of sensed parameters.Using the above specifications, the team followed the system development procedures wherethey outlined their own set
courses. The modules are designed to be stand-alone mini-lecturesthat describe how CS is relevant in other disciplines/fields such as cyber warfare, biology,electronic voting, epidemics, etc. These modules would be supported by class projects thatreinforce such paradigms. Teams of faculty in the STEM Faculty Learning Community willdevelop course modules in collaboration with CS faculty who coordinate entry- level classes.5. Study MethodologyThis study is composed of two efforts: (a) developing the intervention- the course modules thatwill be integrated into particular introductory computer science classes and (b) studying the impactof those modules upon students’ perceptions of computer science through surveys.In the first effort, it has been
set of modelsSelf-conception!! = 𝛽! + 𝛽! ×Self-conception!! + 𝛽! ×Stereotype Endorsement + 𝛽! ×Collaborative Learning + 𝛽! ×Stereotype Endorsement×Collaborative LearningResults for our first set of models revealed that stereotype endorsement had a negative impact onwomen’s self-efficacy, B = -0.32, SE = 0.15, p = 0.05; sense of belonging in computing, B = -0.48, SE= 0.2, p = 0.02; and identification with computing, B = -0.35, SE = 0.19, p = 0.07. Thus, we found thatwomen’s tendency to hold negative beliefs about their group’s ability in computing predicted lower self-efficacy, belonging, and identification with computing.Our second set of regression models assessed whether collaborative learning would disrupt the
degree in Mathematics Education from Syracuse University, New York. Professor Dominguez is a member of the Researchers’ National System in Mexico (SNI) and currently she is the President of Red de Investigaci´on e Innovaci´on en Educaci´on del Noreste de M´exico (REDIIEN). Angeles has been a visiting researcher at Syracuse University, at the University of Texas at Austin. She teaches undergraduate courses in Mathematics and graduate courses in Education. Professor Dominguez is a thesis advisor on the master and doctoral programs on education at the Tec- nologico de Monterrey. Her main research areas are: a) models and modeling, b) use of technology to improve learning and c) evaluation. In addition, Professor
Conference, Terre Haute, Indiana.9. Hattie, J., and Timperley, H. (2007) The Power of Feedback, Review of Educational Research 77, 81-112.10. Erickson, F. (2011) Uses of video in Social Research: A Brief History, International Journal of Social Research Methodology 14, 179-189.11. Powell, A. B., Francisco, J. M., and Maher, C. A. (2003) An Analytical Model for Studying the Development of Learners’ Mathematical Ideas and Reasoning Using Videotape Data, The Journal of Mathematical Behavior 22, 405-435.12. Tolbert, D., and Cardella, M. E. (2014) CAREER: Mathematics as a Gatekeeper to Engineering: The Interplay be-tween Mathematical Thinking and Design Thinking–Using Video Data, In Proceedings 121st ASEE
(SDF) system using a. Measurement of free vibration with an initial displacement b. Calculation with system stiffness and mass parameters2. Identify the damping ratio of a freely vibrating SDF system by supplying an initial displacement and analyzing the log decrement of the measured response3. Describe the effect of mass and stiffness on the natural frequency and natural period of a SDF system4. Describe the parameters that affect the damping ratio of a structure5. Analyze dynamic response data to determine the natural period and damping ratio of a structure6. Evaluate the ability of multiple dynamic evaluations to identify damage in a structureThe laboratory sections consisted of the following groups:1. “No experiment
classroom.REFERENCES[1] Dutson et al, “A Review of Literature on Teaching Engineering Design Through Project OrientedCapstone Courses”, Journal of Engineering Education, January 1997.[2] Dieter and Schmidt, Engineering Design: A Materials and Processing Approach, 5 th ed. McGrawHill, 2013.[3] Eggert, Engineering Design 2nd ed. High Peak Press, 2010.[4] Mason, G., Shuman, T., and Cook, K., “Inverting (Flipping) Classrooms – Advantages andChallenges”, ASEE Annual Conference and Exposition, 2013.[5] Kecskemety, K. and Morin, B., “Student Perceptions of Inverted Classroom Benefits in a First-YearEngineering Course,” ASEE Annual Conference and Exposition, 2014.