process is as follows: • Early-stage discussion between faculty and university/school leaders with the objective of encouraging the free-flow of ideas at this early stage. • Decision process communicated by leaders to faculty with clarity around expected processes of decision making. For example, which groups are active participants in the decision-making process? Which groups will be consulted and will serve in an advisory capacity? What will the feedback loop look like after the decision is made? • Follow-up report after decision making provided by leaders to faculty to explain the rationale for the decision(s) made.Further, the idea of Town Hall is grounded in the principles
to apply concepts presented in lectures. • Combining Analysis and Design: future work is underway to streamline the course and evaluate other programs that teach both analysis and design into one course. We will identify the most critical topics needed for teaching both analysis and design, match the topics with the more interesting case studies, and create new ones in some cases, to continue enhancing student understanding and learning of structural analysis and design. Future work also includes tracking student performance in subsequent and more advanced classes.References[1] S. Singer and K.A. Smith, Discipline-Based Education Research: Understanding and Improving Learning in Undergraduate
. ofAcad. Librarianship, vol. 41, no. 5, 613-620, Sept. 2015, doi: 10.1016/j.acalib.2015.06.022.[7] D. Ahmadieh, S. Nalbandian, and K. Noubani, "A comparative citation analysis study ofmasters' theses at the American University of Beirut, Lebanon," Collection Build., vol. 35, no. 4,103-113, Oct. 2016, doi: 10.1108/CB-06-2016-0013.[8] D. K. Abeyrathne, "Citation analysis of dissertations for collection development," CollectionBuild., vol. 34, no. 2, 30-40, Apr. 2015, doi: 10.1108/CB-11-2014-0055.[9] ProQuest dissertations & theses global brochure.https://www.proquest.com/documents/ProQuest_Dissertations_Theses_Global_Brochure.html.[10] C. Cole, A. R. Davis, V. Eyer, and J. J. Meier, "Google Scholar's coverage of theengineering literature 10
characterized simultaneously by multiplesocial identity categories, these categories are intertwined and linked to each other, there is anelement of power or inequality embedded within each category, and these categories characterizenot only a person’s social identity[s] but also the person’s ever-changing social context. Ourstudy is informed by the concept of intersectionality in two ways: first, as a theory to guide theidentification of constructs and the creation of scale items to probe those constructs and, second,as a methodological approach to analyze data based on the survey respondents’ multipledemographic identities.Diversity in the Engineering Professoriate. A literature review indicated that most studies offaculty diversity aggregate
-institute-and-deloitte-skills-gap-in-manufacturing-study.pdf.Giffi, Craig, Michelle Drew Rodriguez, and Sandeepan Mondal. “A Look Ahead: How ModernManufacturers Can Create Positive Perceptions with the US Public,” 2017, 24.http://www.themanufacturinginstitute.org/~/media/9607397D3AFC423AB68133505EE2C348/2017_US_Public_Perception_Manufacturing_Study.pdf.Krause, Liesl, and Greg J Strimel. “The Next Generation for Manufacturing Competitiveness?Children’ s Perceptions as Shown Through Drawings the Next Generation for ManufacturingCompetitiveness? Children’s Perceptions as Shown Through Drawings.” In 126TH AnnualConfrence & Exposition. Tampa, Florida: ASEE, 2019.https://www.asee.org/public/conferences/140/papers/26206/view.Rosendin, Nadine, and Anne
://pages.olin.edu/isim). Students learn touse an oscilloscope, a function generator, and a network analyzer using the Analog Discoverysoftware. The modules are presented in approximate order of increasing complexity. Over thecourse of the semester, students develop the understanding, skills and knowledge to achieve thecourse learning outcomes. Table 1 below lists the topics of the modules and the associatedlearning goals.Table 1. A list of the module topics and their learning goals. Module Topics Learning goal(s) 1 A simple pendulum (lab) Measure the change in pendulum angle with time using a potentiometer as a position sensor; solder components onto a printed
. As such, we are continuing this study into the next academic year,2020/2021, with better research strategies learned from this pilot study.AcknowledgmentMirna Mattjik thanks the Engineering, Design, and Society Division and Megan Sanders thanksthe Trefny Innovative Instruction Center.References[1] J. S. Eccles and A. Wigfield, "Motivational Beliefs, Values and Goals," Annual Review Psychology, vol. 53, pp. 109-131, 2002.[2] E. L. Deci and R. Flaste, Why We Do What We Do, New York: Penguin Group, 1995.[3] "KEEN Engineering Unleashed," Kern Entrepreneurship Engineering Network, [Online]. Available: https://engineeringunleashed.com/. [Accessed 29 01 2020].[4] A. Edmondson, "Psychological Safety and Learning Behavior in Work Teams
designed in the early 1980’s to reduceemissions by monitoring the performance of major engine component. The major component ofthe OBD is the Electronic Control Unit (ECU, Figure 3(a)), which receives inputs from varioussensors and control the actuators. OBDs provide digital trouble codes (DTCs) that can beaccessed via the Digital Link Connector (DLC, Figure 3(b)). (a) Components of OBD (b) OBD-II Port Figure 2. On-board Diagnostics (OBD)The latest version of OBD is OBD-II, which is available on all cars and light trucks built since1996. The OBD-II standard specifies the type of diagnostic connector and its pinout, theelectrical signaling protocols available, and the messaging
engineering comprise one thread of currentresearch. Originating from Mead and Metraux’s 1957 study of high school student images ofscientists [10], more recent research has focused on comparing K-12 student drawings ofscientists and engineers [11-14].The Fralick et al.’s 2009 [13] study is of interest to our work in progress because it developed arobust taxonomy for comparing drawings of scientists (DAS) and engineers (DAE) by middleschool level students (see Appendix A). They developed three general categories: species;objects; and inferred actions. We employ the Fralick et al. taxonomy to identify intersectionsbetween the descriptions of engineers and engineering we collected from our citizen scienceparticipants and images produce by K-12
Cybersecurity Related Skills.” [Online]. Available: https://cybersecurityventures.com/only-3-percent-of-u-s-bachelors- degree-grads-have-cybersecurity-related-skills/. [Accessed: 18-Dec-2019].[16] “2019 Cybersecurity Almanac: 100 Facts, Figures, Predictions and Statistics.” [Online]. Available: https://cybersecurityventures.com/cybersecurity-almanac-2019/. [Accessed: 18- Dec-2019].[17] “Online Cyber Security Certificate Programs | Search for Schools.” [Online]. Available: https://www.cyberdegrees.org/listings/certificate-programs-online/. [Accessed: 18-Dec- 2019].[18] “History of Boot Camps – Boot Camp & Military Fitness Institute.” [Online]. Available: https://bootcampmilitaryfitnessinstitute.com/what-are-boot-camps
elastic modulus. On a morefundamental level the elastic modulus is proportional to the change in free energy G ofdeformation. Hence, Young’s Modulus ~ (dG/dl) = (dH/dl) – T(dS/dl)where l denotes the length of the sample, T is the (absolute) temperature and H and S refer toenthalpy and entropy, respectively [5]. If Young’s modulus is determined by the cohesive energydensity of materials then the effect of entropic forces can be neglected and thus Young’s Modulus~ (dH/dl). Metals and ceramics are thus also called ‘enthalpy elastic’.Rubbers, defined as weakly crosslinked amorphous polymers above the glass transitiontemperature, defy this trend. Rubbers are an important class of polymer materials that are widelyused for their
. This first year will serve as a pilot to gain insight and feedback into the survey andassignment.Below is the table containing KEEN framework category [3], KEEN related course outcomes[4], and the artifact(s) that will be used to assess each outcome. Appendix B provides theInstructor/Peer Video Rubric and Self-Reflection Rubric and appendix C contains the surveysgiven to the students. Category of KEEN KEEN Related Course Assessment Plan Related Course Outcome [4] Outcome [3] Related to Curiosity Take ownership of, and express Grade on Video interest in topic/expertise/project. Communication Present technical information Grade from rubric on these portions
://cybersecurityventures.com/only-3-percent-of-u-s-bachelors- degree-grads-have-cybersecurity-related-skills/. [Accessed: 18-Dec-2019].[7] “What is EE.” [Online]. Available: https://www.aee.org/what-is-ee. [Accessed: 01-May- 2020].[8] D. Efstratia, “Experiential Education through Project Based Learning,” Procedia - Soc. Behav. Sci., vol. 152, pp. 1256–1260, 2014.[9] J. W. Thomas, “A REVIEW OF RESEARCH ON PROJECT-BASED LEARNING The Autodesk Foundation 111 McInnis Parkway San Rafael, California 94903 (415) 507-6336 Fax (415) 507-6339 http://www.autodesk.com/foundation,” 2000.[10] “GenCyber - FAQ.” [Online]. Available: https://www.gen-cyber.com/faq/. [Accessed: 03- Feb-2020].[11] T. ; Abegaz and K. Antonia, “Planning and
centerline of the bolts as well as increasing the longitudinal spacing from bolt to bolt. Teaching Point #3: Explain that AISC has minimum requirements for these distances to help minimize the impact of shear tearout failures, but engineers still need to calculate this limit state. Compare the geometry of the tearout strength member to the more typically spaced bearing strength member to show how small edge distances lead to tearout. Tell students these construction limits will be covered in the upcoming lesson(s) on bolt limit states.Now have the student volunteer place a thumb inside each of the edge bolt holes in the bearingstrength member and put the member into some tension- enough to cause some deformation
explaining computer scienceconcepts to instructor thus gaining experience for future interviews.In the future, other methods of improving computer science labs such as pair programming andfeedback in groups, whiteboard explanations, etc. will be explored.REFERENCES 1. Nagappan, N., Williams, L., Ferzli, M., Wiebe, E., Yang, K., Miller, C., & Balik, S. (2003). Improving the CS1 experience with pair programming. ACM SIGCSE Bulletin, 35(1), 359-362. 2. Stolee, K. T., & Fristoe, T. (2011, March). Expressing computer science concepts through Kodu game lab. In Proceedings of the 42nd ACM technical symposium on Computer science education (pp. 99-104). 3. Clancy, M., Titterton, N., Ryan, C., Slotta, J., & Linn, M. (2003
completion of the project, the average response was 4.77 – an increase of 3.45. 3. Objective 7: “Ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives” received an average response of 4.85. This is an important survey question as it directly relates to ABET student outcome 5: “ability to function on a team.” 1 4. Objective 9 had a low rating of 2.46 suggesting students felt that member(s) in their own group did not equally share in the workload. Written comments suggested that this may be due to the complexity of the parts
–zero hunger– identifiedand targeted by the United Nations Development Programme in their series of SustainableDevelopment Goals.REFERENCES[1] Gee, D., “Are Post-Millennials Enrolled in Engineering Majors Inclined to be Socially Active?” Proc.10th Annual ASEE First Year Engineering Experience Conference (FYEE 2018), Glassboro, NJ, 2018[2] United Nations https://www.un.org/sustainabledevelopment/sustainable-development-goals/[3] United Nations - Disability, Department of Economic and Social Affairshttps://www.un.org/development/desa/disabilities/envision2030.html[4] Gee, D., Tiari, S., and Zhao, L., “Design of Solar-Powered Food Dehydrators to Meet Food AvailabilityNeeds in Emerging Markets,” Proc. 2018 IEEE Global Humanitarian Technology
affected at varying rates and different occupationswithin our society are affected in different ways, so too, no universal ‘silver bullet’ for remedialmath is shown by our data but rather our decisions need to be made in a fuller context.Further work seeks to share the data and analysis from two other TCUs in North Dakota thatwere halted by the COVID-19 pandemic. Also, a deeper dive into relationship and context-dependent pedagogies is appropriate which may perhaps intersect with culturally responsive andsustaining pedagogy.References[1] T. Bailey, D. W. Jeong, and S.-W. Cho, “Referral, enrollment, and completion in developmental education sequences in community colleges,” Econ. Educ. Rev., vol. 29, no. 2, pp. 255–270, Apr. 2010, doi
; Blackburn, K. (2015). The development and psychometric properties of LIWC 2015. Austin, TX: University of Texas at Austin.7. Fredrickson, B. L. (2004). The broaden–and–build theory of positive emotions. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 359(1449), 1367-1377.8. Conway, A. M., Tugade, M. M., Catalino, L. I., & Fredrickson, B. L. (2013). The broaden-and-build theory of positive emotions: Form, function and mechanisms. I Boniwell, S.A. David, and A.C. Ayers (Eds.) Oxford handbook of happiness, (pp. 17-34). Oxford, UK: Oxford University Press9. Taraban, R., Pittman, J., Nalabandian, T., Yang, W. F. Z., Marcy, W. M., & Gunturu, S. M. (2019). Creating and testing
-14824 Stemler, S., 2001, "An Overview of Content Analysis," Practical Assessment, Research & Evaluation, 7(17)25 Gee, J., 2014, "How to do Discourse Analysis," Routledge, London.26 Gee, J.P., 2000, "Chapter 3 : Identity as an Analytic Lens for Research in Education," Review of Research in Education, 25(1), pp. 99-12527 Adams, R., et al., 2011, "Multiple Perspectives on Engaging Future Engineers," Journal of Engineering Education, 100(1), pp. 48-88 Proceedings of the 2020 ASEE Gulf-Southwest Annual Conference University of New Mexico, Albuquerque Copyright 2020, American Society for Engineering Education
themselves. In response toseeing students in my classes struggle with feeling unprotected and less-than, I formed theEE/CPE Diversity, Equity and Inclusion Project. “The Project”’s goals were to give students avoice, educate both students and faculty, be visible and to provide services. An example ofgiving students a voice is the letter they wrote to the EE and CPE chairs asking them to sign apublic letter condemning a local racist event. An example of educating faculty and students areour guest speakers on, for example, Title IX changes and our conversations between students andfaculty on things that the other don’t realize. An example of being visible is a bulletin boardwe’ve been given near the EE and CPE offices, student Winter holiday
, 2000.[4] S. Sundararajan, L. E. Faidley, and Meyer, Terrence R., “Developing inquiry-based laboratory exercises for a mechanical engineering curriculum” presented at the American Society of Engineering Education Annual Conference, San Antonio, TX, 2012.[5] L. B. Wheeler, C. P. Clark, and C. M. Grisham, “Transforming a traditional laboratory to an inquiry- based course: importance of training TAs when redesigning the curriculum” Journal of Chemical Education, vol. 94, pp. 1019–1026, 2017.[6] P. W. Hughes and M. R. Ellefson, “Inquiry-based training improves the teaching effectiveness of biology teaching assistants” PLoS One, vol. 8, no. 10, p. e78540.[7] L. B. Bruck and M. H. Towns, “Preparing students to benefit from inquiry
. "Defining reflection: Another look at John Dewey and reflective thinking."Teachers college record 104, no. 4 (2002): 842-866.[12]. Prabhu Gaunkar, Neelam and Mani Mina. “ Developing self-awareness in learningpractices: Designing and implementing a survival tool for freshmen in engineering .” InProceedings of the 2018 ASEE Annual Conference and Exposition, 2018.https://peer.asee.org/30312[13]. Bowden, John A., and Eleanor Walsh. "Phenomenography." Phenomenography (2000): v.[14]. Åkerlind, Gerlese S. "Variation and commonality in phenomenographic research methods."Higher Education Research & Development 31, no. 1 (2012): 115-127.[15]. Entwistle, Noel. “Introduction: Phenomenography in higher education.” Higher EducationResearch & Development
EducationAbstractHigher education, especially in the engineering milieu, is a complex activity. Many differenttasks need to be performed well to achieve high quality student learning. Significant learningexperiences require specific (and optimal) course design, and inculcation of relevant skills.The more common approach for course design is the ‘content-centered’ one. A list of topicsis decided (using well-established textbook/s), together with time slots and a testing scheme(number of quizzes, tests, etc). Though relatively easy, this methodology pays scant attentionto student learning outside of content knowledge. The more time and effort intensive‘learning-centered’ approach is more systematic and rewarding. Course design is based ondeciding what students can
Education Annual Conference & Exposition, 2004.[12] J. Saunders, C. L. Nehaniv, and K. Dautenhahn, "Teaching robots by moulding behavior and scaffolding the environment," in Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction, 2006: ACM, pp. 118-125.[13] M. Panitz, K. Sung, and R. Rosenberg, "Game programming in CS0: a scaffolded approach," Journal of Computing Sciences in Colleges, vol. 26, no. 1, pp. 126-132, 2010.[14] K. Wright, I. Milanovic, and T. Eppes, "Implementing collaborative projects using a National Academy of Engineering (NAE) grand challenge: provide access to clean water," in ASEE 125th annual conference & exposition, 2018.[15] L. S. Vygotskiĭ, Thought and
“outside” columns and working inward – for each criterion, first establish thehighest standard level, then the lowest standard level, and then fill in the middle level(s). Thisstyle of rubric can become more cumbersome to construct as the number of standards increases.It has been suggested to design rubrics with an even number of standards to avoid a “middle”option during evaluation.We have developed the rubrics for our Engineering 101 course by focusing only on two columnswithin the rubric, describing only the highest quality level (which earns full credit, an A grade)and the minimum acceptable quality level (which earns credit roughly equivalent to a C or C-grade). The other columns in the rubric are effectively left blank, but with a deliberate
.[2] H.E. Gunter, M.A. D’Avila, S. Sadeghpour, R. Vijaykumar, J.V. Bonventre, “Educational innovation inphysiology: Capillary filtration,” Proceedings of the 2003 ASEE Annual Conference & Exposition, Nashville, TN,June 22-25, 2003.[3] J.L. Cezeaux, T.K. Keyser, “Introducing active learning strategies into an undergraduate engineering physiologycourse,” Proceedings of the 2018 ASEE Annual Conference & Exposition, Salt Lake City, UT, June 24-27, 2018.[4] A.L. Gerhart, D.D. Carpenter, R.W. Fletcher, E.G. Meyer, “Combining discipline-specific introduction toengineering courses into a single multi-discipline course to foster the entrepreneurial mindset with entrepreneuriallyminded learning,” Proceedings of the 2014 ASEE Annual Conference
speed controller powered by a 3S LiPo battery pack. Costs for the propulsion systemwere approximately $60 for the motor, controller, transmission shaft, and propeller with anadditional $30 for the battery pack. Parts were connected through machined couplers and shafts.These were made by students in the campus machine shop to increase student exposure to theequipment and reduce costs. These are expected to provide a speed of 4 MPH (1.8 m/s) and anendurance of 30 min. Future work will determine the real-world speed and endurance of thevessel.The environmental scientists currently use a package from Vernier Software and Technologyincluding a LabQuest 2 DAQ and three Vernier probes. The Vernier package is extremelyexpensive relative to the rest of
/ [Accessed February 1, 2020].[4] J. L. Wood, “Four Hiring Strategies for Increasing Faculty Diversity,” Available:https://diverseeducation.com/article/149878/ [Accessed January 15, 2020].[5] J. Briggs, “Perceptions of African-American Faculty at a Predominantly White College abouttheir Institutions Hiring Policies,” Ed.D. Dissertation, Edgewood College, 2017.[6] E. O. McGee, W. H. Robinson, L. C. Bentley and S. L. Houston, “Diversity Stalled:Explorations into the Stagnant Numbers of African American Engineering Faculty,” 122 ASEEAnnual Conference and Exposition, Paper ID #11934, 2015.[7] M. Currie, “Success Factors of Black Science, Technology, Engineering and MathematicsFaculty at Predominantly White Institutions,” Ph.D. Dissertation, Mercer
. Technol., vol. 7, no. 3, pp. 97–110, 1959.[4] F. R. Curcio, “Comprehension of Mathematical Relationships Expressed in Graphs,” 1987.[5] A. Yolcu, “Middle school students’ statistical literacy: Role of grade level and gender,” Stat. Educ. Res. J., vol. 13, no. 2, pp. 118–131, 2014.[6] J. Watson, “Assessing statistical thinking using media,” in The Assessment Challenge in Statistics Education, Amsterdam: IOS Press, 1997, pp. 107–122.[7] N. Daun-Barnett and E. P. St. John, “Constrained Curriculum in High Schools: The Changing Math Standards and Student Achievement, High School Graduation and College Continuation,” Educ. Policy Anal. Arch., vol. 20, p. 5, 2015.[8] J. N. Lovett and H. S. Lee, “New Standards