demonstrates awareness of downstream effects [1].Approaches such as sustainable design [2], human-centered design [3], value-sensitive design[4], and universal design [5] have gained popularity in pushing engineering design toward amore holistic thought process. These methodologies ask engineers to expand their design scopeand consider the impact of their engineering solutions on a global scale, with new stakeholdersfrom a wide range of backgrounds, countries, cultures, and experiences. Engineering designersmust now constantly consider effects on the environment and natural resources, both for the sakeof the present and for future generations. Engineers must design not just for individual wants andneeds, but also for the public good. These
Associates, Inc, 1993, pp. 11-28.[10] A. Baddeley and J. Andrade, "Working memory and consciousness: An empirical approach.," in Theories of Memory, M. Conway, S. E. Gathercole, and C. Cornooldi Eds., II ed.: Psychology Press, 1998, ch. 1, pp. 1-24.[11] A. D. Baddeley and J. Andrade, "Working memory and the vividness of imagery," Journal of experimental psychology: general, vol. 129, no. 1, p. 126, 2000.[12] G. A. Miller, "The magical number seven, plus or minus two: Some limits on our capacity for processing information," Psychological review, vol. 63, no. 2, p. 81, 1956.[13] A. Miyake, N. P. Friedman, D. A. Rettinger, P. Shah, and M. Hegarty, "How are visuospatial working memory, executive functioning, and spatial
the 2015 National Survey on Drug Use and Health. Substance Abuse and Mental Health Services Administration. HHS.Esmaili Zaghi, A., Tehranipoor, M., & O'Brien, C. (2016). Major Observations from a Specialized REU Program for Engineering Students with ADHD. 2016 ASEE Annual Conference & Exposition. New Orleans: ASEE.Flatt, A. K. (2013). A Suffering Generation: Six factors contributing to the mental health crisis in North American higher education. College Quarterly.Foster, C., & Spencer, L. (2003). Are undergraduate engineering students at greater risk for heart disease than other undergraduate students? Journal of Engineering Education, 92(1), 73-77.Gallagher, R. P. (2008). National Survey
pipeline” (Pell, 1996; Wickware, 1997) and a “chilly climate” (Flam, 1991) in thephysical sciences more generally. For LGBTQ+ individuals, however, claims about underrepresentation inengineering cannot be made because there is no baseline with which to compare. This study providesone small window into the underrepresentation of LGBTQ+ individuals in engineering by investigatingthe following research questions: 1. Are LGBTQ+ students underrepresented in engineering within a large, public, Midwestern university system context based on campus climate survey response rates? 2. How do LGBTQ+ engineering students’ experiences within that university system inform our understanding of their relative representation?MethodThis study
through conventionalmanufacturing methods [1]. Large companies such as General Electric, Boeing, Caterpillar, JohnDeere, Adidas, BMW, Porsche, and all the armed forces, are spending millions, and even,billions of dollars on AM. According to a recent study, the true global impact of AM will besimilar to that of the Internet, once AM becomes more accessible to everyone [2].The medical field is one of the fastest growing application areas of AM and the technology isalready in use in the production of equipment, tools, and accessories [3]. Either as a better way tomanufacture or enabling patient-specific devices, AM has distinct advantages in medicine. Theuse of AM in healthcare applications has attracted considerable interests over the past decade
rate increase while the reading rateshows significant drop if it is too close (i.e., 1ft). This implies that the slower reading rate incloser distance will help in more reliable reading. Error rate or success rate may be used fordistance prediction. The other raw data we can retrieve is receiving signal strength. In general,error rate and receiving signal strength varies with the distance, temperature, and etc. Therefore,the passive RFID could be used for the environment prediction.For the class implementation, it can be split into two parts such as interaction between hardwareand software and automation in data collection. Therefore, it can be used in class as two labs or asemester project.References[1] Jian, Ming-Shen, and Jain-Shing Wu
made.IntroductionSustainability is, as stated in the United Nations Report on the World Commission onEnvironment and Development [1], the consideration of impacts to and preservation of theeconomy, the environment, and social equity (often referred to as “the three ‘E’s” ofsustainability) in the execution of any plan or project. Its growth as a field of study and as astandard of practice is understandable in light of concerns about dwindling resources, populationand developmental growth, and environmental sensitivity based on global warming and othernatural phenomena. Engineering in general, and civil and construction engineering in particular,is a field uniquely well-equipped to tackle the issues of incorporating sustainability into projectexecution. Indeed, the study
the individualcomponents and fabricate the PLC modules themselves.This manuscript discusses the need for including PLCs into the curriculum, and how thePLC modus modules discussed here are used in a course entitled Applied Process ControlEngineering which can briefly be described as a study of the fundamental concepts,devices, and applications of electronic components and controllers utilized on industrialequipment. Laboratory sessions focus on instrumentation, programming, downloading,and wiring discrete input / output devices.Specific Course Competencies of the course include the ability to: 1. Identify major applications of programmable logic controllers in industry, transportation, construction, and environmental
having an 80% responserate. We also received constructive feedback from students as well as teachers. We found thatproviding each student group their own experimental kit with clearly labeled andcompartmentalized components as well as a comprehensive written experimental guide on howto use those components was critical to minimizing student confusion. Each kit also had extracomponents in case of misplacement or failure, a point which was particularly appreciated by theteachers. Even though it was generally well received, this hybrid approach had a few challenges. Onemajor issue was time management, especially with technical difficulties adding to the timerequired to get through the demonstration and activity. Furthermore, it was difficult to
campslesson plans that integrated sustainability education in middle schools. The main reason forconducting a systematized literature review is that it allows researchers to be able to demonstrateall the technical approaches for gathering the literature, such as the entire process of the searchand exclusion criteria [20]. This study followed the steps proposed by Borrego and Froyd [21] forthe engineering education context. 1. Identify scope and research question and provide a conceptual framework, logical model 2. Define exclusion criteria 3. Find sources 4. Assess quality for each study 5. Synthesize.Data AnalysisThis study analyzed 73 peer-reviewed journal articles in two stages
. (2011, February). Are digital natives a myth or reality? University students’ use of digital technologies. Computers & Education, 56(2), 429-440.Mayer, (. E. (2014). Incorporating motivation into multimedia learning. Learning and Instruction,, 29, 171-173. doi:ISSN 0959-4752),Monaco, M., & Martin, M. (2007, April-December ). The Millennial Student: A New Generation of Learners. Athletic Training Education Journal, 2(2), 42-46.Moreno, R. (2005). Instructional technology: promise and pitfalls. (M. B. L. Pytlik Zillig, Ed.) Technology-based education: Bringing researchers and practitioners together, 1–19.Nelson, D., Misra, K., Sype, G. E., & Mackie, W. (2016). An Analysis of The Relationship Between
those who are Pell-eligible. The second majorsection concerns post-requisite course success, which we examine using course-pair data.3.1 Retention3.1.1 General Retention Rates – Retained at BSUOur first result is a comparison Table1:RetentionRate(RetainedatBSU)of general retention rates for R- N-Calc R-Calc EffectSize p-value NCalc versus N-Calc. The top All 78.9% 82.3% 3.4% 0.020 2995row of Table 1 shows the Female 80.8% 84.4% 3.6% 0.181 792retention of all students after R- URM 76.6% 82.8% 6.3% 0.107 430Calc compared to those who Pell 77.2% 79.6% 2.4% 0.352
15 H2 Art History 400 Level Electives 3 H3 Elective 43 H4 First-Year English Composition 3 1 H5 GE General Math Strand 3 H6 Upper Division Art Electives 9 H7 Art History Major Emphasis 21 H8 Core Courses 6 H9 Studio Art Course 4 H10 Second Language Fourth Semester 1
campusactivities; as to teaching and learning, two-thirds of the institutions claim to have replacedclassroom learning with distance learning, facing major challenges such as technicalinfrastructure, competences and pedagogies for distance learning and study requirements, whilegaining some benefits of more opportunities for flexible learning possibilities 1 . Other challengesregarding affordability, life-long learning, education policy, and students with special needs arewell summarized in a 2021 literature review 2 . Till 2022, an abundance of researches have focusedon the general impact of campus closure and classes moving online 3,4,5,6,7,8,9,10,11,12 . Studiesfocusing on specific areas or needs of education, however, are gaining popularity recently as
-support practitioners can further marginalize studentsfrom underrepresented populations in the engineering and computing professions by not fullyconsidering dimensions of inclusion, including gender identity and expression, race andethnicity, disability, LGBTQ+, first-generation status, and socio-economic status. Motivation Within conversations addressing equity and inclusion in engineering higher education, amajor focus has been and continues to be on a collection of institutional efforts termed co-curricular support [1]–[4]. By co-curricular support, we are referring to institutional efforts tobetter support students through the offering of out-of-class efforts (e.g., mentoring programs,summer
integrated circuit. They usuallyinclude: an 8 or 16 bit microprocessor (CPU): a small amount of RAM: programmable ROMand/or flash memory: parallel and/or serial I/O: timers and signal generators: analog to digital(A/D) and/or digital to analog (D/A) conversion. Microcontrollers are designed to be used inembedded systems because the microcontroller and support circuits are often built into, orembedded in, the devices they control. Microcontrollers respond automatically to certain inputsin an embedded system; Examples of such devices/embedded systems that use microcontrollerswould be car engines, VCRs, microwaves, cameras, pagers, cell phones, etc. During the course of this project, the Arduino Uno microcontroller was utilized. Thismicrocontroller has
) National Vulnerability Database [2] and MITRE CommonVulnerabilities and Exposures (CVEs) [3]. A 2020 report from Tenable, a leading ITvulnerability assessment and management solution company, indicates that there were 18,358vulnerabilities reported in 2020, a slight increase from the 17,305 reported in 2019 [4]. Despiteincreased tracking and abatement of software vulnerabilities, Gueye and Mell [5] report that themost prevalent software errors have not changed much since vulnerabilities were first cataloged. Indeed, MITRE [6] lists the top three software vulnerabilities as: 1. Improper Neutralization of Input on Webpage Generation (cross-site scripting) 2. Out-of-bounds write (buffer overflow) 3. Improper input validationSoftware
often necessitatesthe use of a traditional lecture-style class, typically coupled with a problem solving (orrecitation) session. In our course, both lecture and recitation make use of demonstrations, as wellas problem solving, to ensure that students are learning the appropriate technical skills toimplement in future courses. The size of the lecture course ranges from 120 – 220 students,depending upon the semester. Recitation sizes are generally 30-40 students. Traditionally, therecitation sections have been used to cover numerous example problems from the textbook [7];however, we still find that students exit the course with a limited appreciation for how materialsscience can impact future engineering challenges, especially in design courses
exploring necessary variations to promote future success in recruitment and retention. According to the U.S. Census Bureau, 2018 population estimates for Texas were 42 percent white, 39 percent Hispanic/Latino, 13 percent black or African American, 5 percent Asian and 1 percent other [1]. We believe tailored marketing strategies will help achieve the ultimate goal of an enrollment reflecting the demographics of Texas. History of the Partnerships In 2013, a version of what would become the Engineering Academies was piloted under the name Blinn TEAM‐E and housed under the Transition Academic Programs department at Texas A&M University. This initial partnership was established with Blinn College, a 2‐year institution located approximately 5 miles
African American 1 1% *Others 3 3% *Others: mixed Table 4 Information about participants’ ethnicity information2) Summary of participants’ Co-Op experienceMost of our survey participants have already completed at least one Co-Op session, while 18students were still in their first Co-Op session when the survey was distributed (Table 5).Majority of our participants (86%) worked for large sized companies and few (15%) workedfor smaller sized companies (Table 6). During their Co-Op experience, students got involved inall different kinds of work, with problem solving and data analysis being the two most
tworepresent the same thing and were aware of advantages of each. James viewed Fick’s 2nd Law asthe rigorous model and the ABM as not rigorous but still useful to learn conceptually aboutdiffusion. Finally, Allen and Tom felt they did not know how the representations were related.These mixed results imply that our next iteration of the learning activities should explicitlyaddress the connection between the various representations that students use to help studentsunderstand that the macro-level behavior described in Fick’s Laws emerges directly from themicro-level behavior programmed in the ABM.4. General Discussion4.1 Summary of FindingsTo summarize our findings: (1) regarding our first research question, most students did not useFick’s 2nd law or
Paper ID #37811High Impact Practices in LEAP: an NSF S-STEMScholarship ProgramAfsaneh Minaie Afsaneh Minaie is a Professor of Electrical and Computer Engineering and Interim Dean of the College of Engineering and Technology at Utah Valley University. She received her B.S., M.S., and Ph.D. all in Electrical Engineering from University of Oklahoma. Her research interests include gender issues in the academic sciences and engineering fields, Embedded Systems Design, Mobile Computing, Wireless Sensor Networks, Nanotechnology, Data Mining, and Databases.Reza Sanati-mehrizy (Professor)Janis P Raje (Technical Writer
students and in Blackboard rubrics. So written feedback on exams was provided onstudents’ papers but the individual LO assessments were posted to rubrics on Blackboard.Table 1. Example of a learning objective with evidence of proficiency and assessment scaleLearning Objective 07.05 Format plots for technical presentation [using MATLAB]Proficient Developing Emerging Insufficient No Attempt EvidenceEvidence items for proficiency: 1 (of 7) missing 2-3 (of 7) missing 4 or more (of 7) Did not attempt1. Correct syntax for title or incorrect item or incorrect
on energy efficiency in office buildings -hot dry climates. In 11th Conference on Advanced Building Skins (Vol. 1, pp. 458–468). Bern, Switzerland. https://doi.org/10.1016/B978-0-08-100635-1.00006-XEdwards, L., & Torcellini, P. (2002). A litreature review of the effects of natural light on building occupants (Technical). U.S. department of energy laboratory.Elghazi, Y., Wagdy, A., & Abdalrahman, S. (2015). Simulation Driven Design For Kinetic System; Optimize kaliedocycle Facade Configuration for Daylighting Adequacy in Hot Arid Climate.Grobman, Yasha Jacob, Capeluto, I. G., & Austern, G. (2017). External shading in buildings: comparative analysis of daylighting performance in static and
reliability, stability, and suitability. The final analysisindicates that 11.56% of students report low confidence, 11.54% record high confidence, andthe majority express moderate confidence. Lower confidence levels confidence were foundaround “model development” and “model evaluation,” which can be tied to “analysis andcalculation skills,” “optimization skills,” and “technical and computing skills.” To booststudents’ confidence using the remedial suggestions, individualized support sessions shouldbe used to discuss student concerns, address any questions or misunderstandings they mayhave, and offer personalized guidance and encouragement. Additionally, peer support groupscan show students that they are not alone and provide opportunities to
Paper ID #29292Using Creative Writing as a Tool for Learning Professional Developmentin Materials Science and EngineeringDr. Sabrina Starr Jedlicka, Lehigh University American c Society for Engineering Education, 2020Using Creative Writing as a Tool for Learning Professional Development in Materials Science & EngineeringAbstractCourses in professional development can be a catch-all to address student skill building in areassuch as technical writing, communication, career path reflection, and ethics. While each of theseskills is important to student development, the
, D., Kilgore, D., Loshbaugh, H., McCain, J., & Chen, H. (2008). Being and Becoming: Gender and Identity Formation of Engineering Students. Research Brief. Center for the Advancement of Engineering Education (NJ1).Flores, L. Y., & O’brien, K. M. (2002). The career development of Mexican American adolescent women: A test of social cognitive career theory. Journal of Counseling Psychology, 49(1), 14.Flynn, M. A., Everett, J. W., & Whittinghill, D. (2016). The Impact of a Living Learning Community on First-Year Engineering Students. European Journal of Engineering Education, 41(3), 331–341.Gibbons, M. M., & Shoffner, M. F. (2004). Prospective first-generation college students: Meeting their needs through
). Figure 1: Mathematical visualization More generally: for the continuous case: x is “processed” to become g(x) and g(x) is“processed” to becomes f(g(x)) as illustrated in Figure 2. Figure 2: A more general mathematical visualizationFor those who prefer to see a block diagram refer to Figure 3, where𝑓(𝑔(𝑥) = 4(𝑥 + 3). Figure 3: Explaining the Chain Rule: block diagram (top) and numerical example (bottom) We are interested in the effect of change in the input on the change of the output,basically the derivative of the overall function f(g(x)), i.e., in d/dx of f(g(x)), and in the abovebasic example it is clearly 𝑑 ( )(𝑓(𝑔(𝑥
format. EXCEL Spreadsheet data summary and a sample of grading scheme is shown in Appendix C. A Bar chart was generated based on EXCEL Spreadsheet data summary and this is shown in Appendix D.Data Analysis Bar chart displayed in Appendix D indicates that none of the 4 characteristics assessedrecorded a Likert Scale mode values of 5. Regardless, two of the characteristics assessed recorded a Likert Scale Mode value of4. This is quite encouraging.Based on the bar chart generated one can see that the two “characteristics” Characteristic # 1 (Learning must be Cumulative) Characteristic
Paper ID #27790Interactive and Collaborative Materials Science and Processing Course withIntegrated LabDr. Anastasia Marie Rynearson, Campbell University Anastasia Rynearson is an Assistant Professor at Campbell University. She received a PhD from Purdue University in Engineering Education and a B.S. and M.Eng. in Mechanical Engineering at the Rochester Institute of Technology. Her teaching experience includes outreach activities at various age levels as well as a position as Assistant Professor in the Mechanical Engineering Department at Kanazawa Technical College and Future Faculty Fellow teaching First-Year Engineering