Conference Session

MET and Mechatronics

Collection

2018 ASEE Annual Conference & Exposition

Authors

John R. Haughery, Iowa State University

Tagged Divisions

Engineering Technology

students under 18 years of age, or who responded, “not agree”,were included in our dataset. This study was approved as an exempt study under the humansubject protections regulation, 45 CFR 46.101(b) by our Institutional Review Board (IRB).2.2. Survey Sample PopulationOur study was conducted using a convenience sample of n=84 undergraduate students across thecontrol (n=23) and treatment (n=61) groups (Table 2). Further demographic information for oursurvey population can be found in Table 2. Gender and ethnicity splits favored women (3%) andunderrepresented students (2%) slightly more than our department’s population percentages.Students were predominately within the 18 – 20 year range (M=19.62, SD=1.57), as expectedfor a freshman level course

Conference Session

COED: Online and Blended Learning Part 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Carole E. Goodson, University of Houston; Susan L. Miertschin, University of Houston; Barbara Louise Stewart, University of Houston

Tagged Divisions

Computers in Education

know? A critical literature review. Learning, Media and Technology, 39(1), 6-36. doi:10.1080/17439884.2013.770404Lai, K.-W., & Hong, K.-S. (2015). Technology use and learning characteristics of students in higher education: Do generational differences exist? British Journal of Educational Technology, 46(4), 725-738. doi:10.1111/bjet.12161Ng'ambi, D. (2013). Effective and ineffective uses of emerging technologies: Towards a transformative pedagogical model. British Journal of Educational Technology, 44(4), 652-661. doi:10.1111/bjet.12053Miertschin, S. L., Stewart, B. L., & Goodon, C. E. (2017). Mobile devices and lifelong learning: The students' perspective. Computers in Education, 8(1), 80-93

Conference Session

ET Projects

Collection

2018 ASEE Annual Conference & Exposition

Authors

Rachel Mosier P.E., Oklahoma State University; William E. Genereux, Kansas State University; Katie Rieger, Oklahoma State University

Tagged Divisions

Engineering Technology

ofcommunication methods.ReferencesAACU. (2010). Written communication VALUE rubric. Washington, DC: Association of American Colleges and Universities. Retrieved from http://www.aacu.org/value/rubrics/WrittenCommunication.cfmAbulencia, J. P., Vigeant, M. A., & Silverstein, D. L. (2013). Using video media to enhance conceptual learning in an undergraduate thermodynamics course. In Proceedings of the 2013 American Society for Engineering Education Annual Conference & Exposition. Atlanta, GA.Cheville, A. & Derr, B. H. (2016). Using videos to elicit self-explanations of emergent electromagnetic concepts. In Proceedings of the 2016 American Society for Engineering Education Annual Conference & Exposition. New Orleans, LA.Daley

Conference Session

Topics in Computing and Information Technology-I

Collection

2018 ASEE Annual Conference & Exposition

Authors

Andrew R. Schmitt, Metropolitan State University; Theresa Chasar, Newell Brands; Mangaya Sivagnanam, Ingersoll Rand; Faisal Kaleem, Metropolitan State University

Tagged Divisions

Computing and Information Technology

and indirect (amplified and/or reflected) attack methods 6. Quantifying the number of IoT bots in a botnet of unknown composition 7. Determining the resiliency of target systems during an attack and quantifying the number of devices a target system can withstand while remaining fully functionalAppendix A: Infrastructure Hardware DetailsAppendix B: Python ScriptsServer Side:#Script to establish a server side socket to test maximum bandwidth based on hardware resources#Using a file to send data for an extended period of timeimport socketimport os#VariablesB_size = int(raw_input("Enter the buffer size:\n"))Bind_port = int(raw_input("Enter the port number to connect on:\n"))#Establish the server and listen for connectionsdef

Conference Session

Teaching Methods for Engineering Mechanics Courses

Collection

2018 ASEE Annual Conference & Exposition

Authors

Ashraf Badir P.E., Florida Gulf Coast University; Jiehong Liao, Florida Gulf Coast University; Tanya Kunberger P.E., Florida Gulf Coast University; Galen I. Papkov, Florida Gulf Coast University; Long D. Nguyen, Florida Gulf Coast University; Robert O'Neill P.E., Florida Gulf Coast University

Tagged Divisions

Mechanics

(eds). Using Reflection and Metacognition to Improve Student Learning: Across the Disciplines, Across the Academy.pp. 18 – 48. Sterling, VA: Stylus.10. R Core Team (2016). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.APPENDIXTable A1. Quiz Wrapper Questions. 1. Approximately how many hours did you spend in total preparing for this quiz? 2. What percentage of this time was in the 24 hours prior to the quiz? 3. What did you consider your level of preparation for the quiz: a. Excellent (participated in class, completed homework, solved / re-solved problems) b. Good (attended class, completed homework, looked over worksheet solutions

Conference Session

Graduate Recruitment and Retention

Collection

2018 ASEE Annual Conference & Exposition

Authors

Andres Alejandro Herrera, University of Arkansas; Eric Specking, University of Arkansas; Richard Ham, University of Arkansas

Tagged Topics

Diversity

Tagged Divisions

Graduate Studies

Ratio table shows the odds of the event occurring at two different levels of thepredictor. Level B (previous affiliation with the University) is the reference level for the factor.Level A indicates the student has a previous affiliation to the University. The Odds Ratios tableshown in Table 2 indicates that a student is 86% less likely to enroll in classes if that studentdoes not have a previous affiliation with the University. Table 2 Odds Ratios Table for 'From UA' variable Level A Level B Odds Ratio 95% CI NUA FUA 0.1414 (0.0764, 0.2616) Odds ratio for level A relative to level

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Rachel Vitali, University of Michigan; Noel C. Perkins, University of Michigan; Cynthia J. Finelli, University of Michigan

Tagged Topics

NSF Grantees Poster Session

intervention.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Award IDNo. 1609204 through NSF’s Division of Undergraduate Education (DUE) as a part of theImproving Undergraduate STEM Education (IUSE) program. We thank the course instructorsand students for their participation.References[1] Flori, R. E., Koen, M. A., Oglesby, D. B. (1996). Basic Engineering Software for Teaching(BEST) dynamics. Journal of Engineering Education, 85(1), pp. 61-67.[2] Chickering, A. W., Gamson, Z. F. (1991). Applying the Seven Principles for Good Practicein Undergraduate Education. New Directions for Teaching and Learning, 47, 63-69.[3] Hake, R. R. (1998). Interactive-engagement versus traditional methods: A six-thousand-student survey of

Conference Session

Tools and Techniques

Collection

2018 ASEE Annual Conference & Exposition

Authors

Karen H. Jin, University of New Hampshire; Michael Jonas, University of New Hampshire; Christopher David LeBlanc, University of New Hampshire; Theodore Sean Tavares, University of New Hampshire

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology

Paper ID #23065Modernizing Capstone Project: External and Internal ApproachesProf. Karen H. Jin, University of New Hampshire Karen H. Jin has been an Assistant Professor of Computer Science in Computing Technology program at UNH Manchester since Spring 2016. She previously taught as a lecturer for over ten years in University of Windsor and Dalhousie University. Her interest in computer science education research focuses on devel- oping new empirically supported theories and practices in teaching programming, software engineering and project-based learning with industrial relevance. She received her Ph.D. and M.Sc. in

Conference Session

Electrical and Computer Division Technical Session 4

Collection

2018 ASEE Annual Conference & Exposition

Authors

Rachel E. Friedensen, Iowa State University; Erin E. Doran, Iowa State University; Sarah Rodriguez, Iowa State University

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer

)identifying the ways that each component of the engineering identity framework is constructedand deployed in the departmental documents and b) identifying emergent themes in the data.Trustworthiness We cultivated trustworthiness in our analysis in the following three ways. We ensuredthat we could access the broadest number of documents possible by pursuing multiple avenues ofdata collection: in addition to seeking documents from electrical and computer engineeringfaculty and administrators, we did a comprehensive internet search to gather documents that mayhave been overlooked or unavailable to department sources. The research team met regularly todiscuss findings and resolve differences in interpretation. The team also memoed and kept

Conference Session

Biomedical Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Jeannie S. Stephens, University of Delaware; Sarah Ilkhanipour Rooney, University of Delaware

Tagged Topics

Diversity

Tagged Divisions

Biomedical Engineering

stronglikelihood that the senior design data is under-powered and a larger sample size may reveal astatistical differences. In conclusion, both the junior and senior design phase 1 reports show anincreased use of engineering standards as students gain more exposure to engineering standards. 2.85 2.54 2.67 2 2 ** Use of Engineering Standards Use of Engineering Standard a. Jr Design b. Sr. DesignFigure 1. Assessment of the use of engineering standards in (a) junior design (b) senior design.Grey – Cohort 1, Blue – Cohort 2, Yellow

Conference Session

Biomedical Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Lianne Cartee, North Carolina State University and University of North Carolina, Chapel Hill; Hatice O. Ozturk, North Carolina State University; Frances S. Ligler, North Carolina State University

Tagged Divisions

Biomedical Engineering

report of a three-year study of engineering education led by Leah Jamieson andJack Lohman [2], one of the seven recommendations was: Expand collaborations andpartnerships between engineering programs and a) other disciplinary programs germane to theeducation of engineers as well as b) other parts of the educational system that support the pre-professional, professional and continuing education of engineers. The 3D frameworkaddressed these recommendations.This is a process that aligns the attributes of graduates with their post-graduate plans in a waythat is customized for each student in the program. In the first dimension, the academicfoundation, core courses required of all students have been converted into course bricks thatinclude

Conference Session

Military and Veterans Division Technical Session 2: Veteran Identity & Inclusion

Collection

2018 ASEE Annual Conference & Exposition

Authors

Douglas Moore Schutz, Tokyo University of Science; Yong-Young Kim P.E., Konkuk University; Dante Dionne, Korean Air

Tagged Divisions

Military and Veterans

of this last model yielded the highest significance with the best overallfit as summarized in Table 4. Correcting for generalization bias, the regression model adj.R2=.360 indicates a large effect size and a good level of prediction [29]. Moreover, theindependent variables explain 36.0% of the variability of the model’s dependent variable.The overall results of the model show that the numbers of online program graduates and fulltimeonline faculty have positive impacts on the number of student veteran and active duty membersthat are enrolled in online graduate engineering programs. Table 4. Summary of Multiple Regression Analysis VARIABLES B SEB β

Conference Session

Student Division Technical Session 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Bryon Kucharski, Wentworth Institute of Technology; Aaron Carpenter, Wentworth Institute of Technology; Joan Giblin, Wentworth Institute of Technology; Mehmet Ergezer, Wentworth Institute of Technology

Tagged Divisions

Student

the study in this paper demonstrate actualreal-world help-seeking behavior, albeit self-reported, not intentions to seek help in the future,which may or may not become reality. This distinction is particularly valuable and, thus, thiswork will provide insights that can (a) help undergraduate students and (b) guide futureeducational research.Furthermore, previous work on learning strategies often focuses on particular learning strategiesor individual populations of students with specific characteristics, such as students academicallyat-risk 17,18 . The current work described here asked an intentionally broad range of students, fromacademically high-achieving to students academically at-risk, in order to compare and contrastthe learning

Conference Session

Engineering Economy Division Technical Session 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Aimee T. Ulstad, Ohio State University; Mehdi Mashayekhi, Ohio State University; Hannah Meckstroth, Ohio State University

Tagged Divisions

Engineering Economy

financial literacy skills, engineering economy students were offered theopportunity to take an anonymous, short online pre-course and post-course financial literacysurvey for 0.5% extra credit for each survey, without regard to how many questions theyanswered correctly. The six financial literacy questions [10] came from the FINRA/GeorgeWashington Financial Literacy standard block of questions as follows: 1. Suppose you have $100 in a savings account earning 2 percent interest a year. After five years, how much would you have? A. More than $102 B. Exactly $102 C. Less than $102 D. Don’t Know 2. Imagine that the interest rate on your savings account is 1 percent a year and inflation is 2 percent a year. After one year, would

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Héctor Enrique Rodríguez-Simmonds, Purdue University, West Lafayette; Nelson S. Pearson, University of Nevada, Reno; Benjamin P. Jackson, Purdue University; Tara C. Langus, University of Nevada, Reno; Justin Charles Major, Purdue University, West Lafayette (College of Engineering); Adam Kirn, University of Nevada, Reno; Allison Godwin, Purdue University, West Lafayette (College of Engineering)

Tagged Topics

Diversity, NSF Grantees Poster Session

-Procedure-Manual-11- 16-17.pdf, Nov. 16, 2017 [Jan. 30, 2018]. [3] C. J. Nemeth, “Dissent as driving cognition, attitudes, and judgments,” Social Cognition, vol. 13, no. 3, pp. 273-291, Sep. 1995. [4] P.L. McLeod, S.A. Lobel, and T.H. Cox Jr, “Ethnic diversity and creativity in small groups,” Small group research, vol. 27, no. 2, pp. 248-264, May 1995. [5] R. Guimera, B. Uzzi, J. Spiro, and L. A. N. Amaral, “Team assembly mechanisms determine collaboration network structure and team performance,” Science, vol. 308 no. 5722, pp. 697-702, Apr. 2005. [6] T. R. Kurtzberg, “Feeling creative, being creative: An empirical study of diversity and creativity in teams,” Creativity Research Journal, vol. 17, no

Conference Session

Active Learning Methods in Action

Collection

2018 ASEE Annual Conference & Exposition

Authors

John Ray Morelock, Virginia Tech; Holly M. Matusovich, Virginia Tech

Tagged Divisions

Educational Research and Methods

expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.ReferencesReferences with asterisks (*) indicate papers included as data in our analysisAbdul Jabbar, A. I., & Felicia, P. (2015). Gameplay engagement and learning in game-based learning: A systematic review. Review of Educational Research, 85(4), 740-779. doi: 10.3102/0034654315577210* Andrianoff, S. K., & Levine, D. B. (2002). Role playing in an object-oriented world. Paper presented at the Proceedings of the 33rd SIGCSE technical symposium on Computer science education, Cincinnati, Kentucky.Anfara, V. A., Brown, K. M., & Mangione, T. L. (2002). Qualitative analysis on stage: Making

Conference Session

Energy Conversion and Conservation Division Technical Session on Solar

Collection

2018 ASEE Annual Conference & Exposition

Authors

Lihong (Heidi) Jiao, Grand Valley State University

Tagged Divisions

Energy Conversion and Conservation

to orient the solar panel to track the sun. Topics in this module include: a. Solar irradiance, spectral irradiance, solar irradiation b. Effects of atmosphere on solar radiation c. Relationship between solar time and local time d. Zenith angle, azimuth angle, and sun’s position e. How to orient solar panels to receive maximum solar energy available f. A trade off between performance and cost The module includes an activity where students are asked to write a program to track sun’s position for a given date, time, and location. An example is shown in figure 1 where the sun’s elevation angle throughout a day is shown for Grand Rapids, Mi on May 29th. Elevation Angles on May 29th in

Conference Session

COED: Gamification and Introducing Students to Programming

Collection

2018 ASEE Annual Conference & Exposition

Authors

Farzana Rahman, Florida International University

Tagged Divisions

Computers in Education

more advanced computingskills in future semesters.3. CURRICULUM OVERVIEWFor our curriculum, we designed two block courses – a) Block 1 – App Inventor and b) Block 2 –OOP using Java. Each block course consisted of 28 hours of instructional time, divided between 7days (7 Saturdays). We offered Block 1 for the first time in Spring 2014 where 30 middle schoolstudents (from grade 7 and 8) participated. Since these block courses were not offered as part ofany regular school curriculum, students met every Saturday for 4 hours with the instructors. Block2 course was offered to the same set of students during Summer 2014 following the same Saturdayschedule. Apart from the in-class 4 hours of instructional time, students were not provided withany

Conference Session

Mechanical Engineering Division Technical Session 9

Collection

2018 ASEE Annual Conference & Exposition

Authors

Robert Scott Pierce P.E., Western Carolina University; Rungun Nathan, Pennsylvania State University, Berks Campus; William E. Howard, East Carolina University; Brian Sylcott, East Carolina University

Tagged Divisions

Mechanical Engineering

-oriented skills such as the use of computer-based tools and engineeringcommunications.Figure 2: Instructor responses to questions regarding course pedagogy.Outcomes Assessed for ABETIn order to explore the relationships between course content, structure, and desired outcomes webreak desired student outcomes into two categories: a) The “official” student outcomes that are formulated and tracked as part of the formal, ABET assessment process and which tie directly to the ABET a-k student outcomes, and b) Outcomes based on the instructor’s personal views as to the most important student outcomes for the course.While there is overlap between these two categories they are not always the same.Table 2 lists the ABET a-k outcomes and shows which

Conference Session

Division for Experimentation & Lab-oriented Studies Technical Session 5

Collection

2018 ASEE Annual Conference & Exposition

Authors

Sulakshana Lal, Curtin University; Anthony Denis Lucey, Curtin University; Euan Lindsay, Charles Sturt University; David Franklin Treagust, Curtin University; Mauro Mocerino, Curtin University; John Matthew Long, Deakin University; Marjan G. Zadnik, Curtin University of Technology

Tagged Divisions

Experimentation and Laboratory-Oriented Studies

about the interaction possibilities and their relation to the expected learningoutcomes from their work in both remote and face-to-face laboratories. We also consider howremote laboratories can be integrated into engineering courses from the students’ viewpoint,in order to preserve the essential learning of practical skills and also to make students betterprepared for future engineering practices.This study therefore endeavours to address the following research questions through the lensof interactions in the engineering laboratory: a. Is the remotely controlled laboratory implementation appropriate for first-year engineering students? b. Can remote laboratories help in learning essential personal and professional

Conference Session

Division for Experimentation & Lab-oriented Studies Technical Session 3

Collection

2018 ASEE Annual Conference & Exposition

Authors

Brian Kozak, Purdue Polytechnic Institute; Chenyu Huang, Purdue University

Tagged Divisions

Experimentation and Laboratory-Oriented Studies

. 𝑊: 𝑤𝑒𝑖𝑔ℎ𝑡 𝑜𝑓 𝑠𝑢𝑝𝑝𝑜𝑟𝑡 𝑏𝑒𝑎𝑚 (a) 𝑊: 𝑤𝑒𝑖𝑔ℎ𝑡 𝑜𝑓 𝑠𝑢𝑝𝑝𝑜𝑟𝑡 𝑏𝑒𝑎𝑚; 𝐿: 𝑑𝑖𝑠𝑡𝑟𝑖𝑏𝑢𝑡𝑒𝑑 𝑙𝑜𝑎𝑑𝑠 (b)Figure 1. (a) self-weighted support beam (b) self-weighted support beam with distributed loadsAbove two support beams were used to reflect different aircraft operational scenarios, forexample, the aircraft wing when the aircraft is still on the ground and in the straight-level flight,𝑊 and 𝐿 were used to respectively approximate the weight and lift that the wing has in the twoscenarios.The next lecture period after the introduction of beams, a tour of an adjacent aircraft hangar wasgiven

Conference Session

Graduate Studies Potpourri

Collection

2018 ASEE Annual Conference & Exposition

Authors

Erika Mosyjowski, University of Michigan; Shanna R. Daly, University of Michigan; Diane L. Peters, Kettering University

Tagged Divisions

Graduate Studies

Paper ID #21438Engineering Industry Perspectives and Policies Related to Employees’ Pur-suit of Engineering Doctoral TrainingMs. Erika Mosyjowski, University of Michigan Erika Mosyjowski is a PhD student in the Center for the Study of Higher and Postsecondary Education at the University of Michigan. She also earned a Master’s in Higher Education at Michigan and a Bachelor’s in Psychology and Sociology from Case Western Reserve University. Before pursuing a PhD, Erika had a dual appointment in UM’s College of Engineering working in student affairs and as a research associate. While grounded in the field of higher education

Conference Session

Embedding Sociotechnical Systems Thinking II

Collection

2018 ASEE Annual Conference & Exposition

Authors

Anne-marie Nickel, Milwaukee School of Engineering; Jennifer Kelso Farrell, Milwaukee School of Engineering; Alicia Domack, Milwaukee School of Engineering; Gina Elizabeth Mazzone, Milwaukee School of Engineering

Tagged Divisions

Liberal Education/Engineering & Society

student B in Table 6 indicate that there are some positive feelings forthe assignment and suggest an impact on the students’ experience. Comments like those fromstudent D and student E in Table 7 from the nanotechnology course describe their perceivedincreased understanding of the course content from working on the crossover activity. In thefuture, the researchers would like to incorporate more qualitative data into the assessment todetermine if the crossover activity is meaningful for the students. There was some initial resistance in the science fiction course for the crossoverassignment as many of the students were seniors and hoping for a more relaxed class than thecourses related to their major. Because of the high number of seniors

Conference Session

Research Methods

Collection

2018 ASEE Annual Conference & Exposition

Authors

Amy Wilson-Lopez, Utah State University - Engineering Education; Karen Hazel Washburn Washburn, Utah State University; Indhira María Hasbún, Virginia Tech

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

. Hole, “Working between languages and cultures: Issues of representation, voice, and authority intensified,” Qualitative Inquiry, 13, 696-710, 2007.12 A. Squires, “Methodological challenges in cross-language qualitative research: A research review,” International Journal of Nursing Studies, 46, 277-287, 2009.13 B. Subedi, & J. Rhee, “Negotiating collaboration across differences,” Qualitative Inquiry, 14, 1070-1092, 2008.14 K. Rodham, F. Fox, & N. Doran, “Exploring analytical trustworthiness and the process of reaching consensus in interpretative phenomenological analysis: Lost in transcription,” International Journal of Social Research Methodology, 18(1), 59-71, 2015.15 A. Shordike, C

Conference Session

Social Dialogue on Diversity and Inclusion

Collection

2018 ASEE Annual Conference & Exposition

Authors

Nelson S. Pearson, University of Nevada, Reno; Justin Charles Major, Purdue University, West Lafayette (College of Engineering); Allison Godwin, Purdue University, West Lafayette (College of Engineering); Adam Kirn, University of Nevada, Reno

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

. Pamela, “Toward equity through participation in Modeling Instruction in introductory university physics,” Phys. Rev. Spec. Top. - Phys. Educ. Res., vol. 6, no. 1, 2010.[13] S. Wasserman and K. Faust, Social network analysis : methods and applications, vol. 24. 1994.[14] D. Z. Grunspan, B. L. Wiggins, and S. M. Goodreau, “Understanding classrooms through social network analysis: A primer for social network analysis in education research,” CBE Life Sci. Educ., vol. 13, no. 2, pp. 167–178, 2014.[15] B. B. Potts, “Book Review: Social Network Analysis,” Acta Sociolgica, vol. 37, no. 4, pp. 419–423, 2015.[16] Army, FM 3-24 MCWP 3-33.5 Insurgencies and Countering Insurgencies, 1st ed. Washington .D.C.: Department of the Army

Conference Session

ET Peripherals

Collection

2018 ASEE Annual Conference & Exposition

Authors

Anne M. Lucietto, Purdue Polytechnic Institute; Liza Ann Russell, Purdue University

Tagged Topics

Diversity

Tagged Divisions

Engineering Technology

would provide insight into what works in other countries and may be helpful tostrengthen STEM Education in the United States and worldwide.References[1] T. Kennedy and M. Odell, "Engaging students in STEM education," Science Education International, vol. 25, no. 3, pp. 246-258, 2014.[2] M. E. Sanders, "Stem, stem education, stemmania," 2008.[3] K. Fulton and T. Britton, "STEM Teachers in Professional Learning Communities: From Good Teachers to Great Teaching," National Commission on Teaching and America's Future, 2011.[4] A. Roberts, "STEM Is Here. Now What?," Technology and engineering Teacher, vol. 73, no. 1, pp. 22-27, 2013.[5] J. Hamari, D. J. Shernoff, E. Rowe, B. Coller, J. Asbell-Clarke, and T

Conference Session

Manufacturing Curriculum and Course Innovations

Collection

2018 ASEE Annual Conference & Exposition

Authors

Zareena Gani, ADMC, Higher Colleges of Technology, UAE; Sangarappillai Sivaloganathan, United Arab Emirates University; sajeev karai, Higher Colleges of Technology; Huned Bohari Bohari, HCT

Tagged Topics

Diversity

Tagged Divisions

Manufacturing

cuttingtools, tool life, cutting fluids and selection of tools and cutting parameters such as cutting speed,feed and depth of cut on the surface finish produced. By using different workpiece materials,they were able to see the effects of varying these parameters on the finished quality of the work.Machining was performed on different workpiece materials such as, Brass, acrylic, Aluminumand Copper with HSS tools and coated carbide tools, with and without cutting fluids and withvarying cutting parameters i.e. spindle speed, feed rate and depth of cut and also with sharp toolsand worn tools. Tool wear and surface finish were measured for each input and output parametercombination.Figure 1: Microscopic images of (a) New tool, (b) Tool wear w/o coolant, (c

Conference Session

MET and Mechatronics

Collection

2018 ASEE Annual Conference & Exposition

Authors

Wei Dai Vian, Purdue University, West Lafayette; Nancy L. Denton P.E., Purdue University, West Lafayette

Tagged Divisions

Engineering Technology

an essential part of the testingprocess because the standard specimens ensure meaningful and reproducible results.1 Tohelp improve students’ critical thinking, hands-on experience, and potential researchinterest, an enhanced tensile testing laboratory project was developed that accounts forspecimen condition and variability.MET students at two campuses of XXXXX University participated in this enhancedpolymer tensile testing laboratory project. Campus A is a commuter campus with abalanced population mix of traditional and non-traditional students and typicalengineering technology class sizes of 10-20. Campus B is a large residential campuspopulated by traditional students, transfer students, and a handful of non-traditionalstudents. At Campus

Conference Session

Undergraduate Peer Educators: Mentoring, Observing, Learning

Collection

2018 ASEE Annual Conference & Exposition

Authors

Michael Alley, Pennsylvania State University, University Park

Tagged Topics

ASEE Board of Directors

Tagged Divisions

Liberal Education/Engineering & Society

 complexity: pretentious words, needless symbols, slash Informal writing: avoid contractions, get, or a lot  Tonal error:  Too many sentences begin with the subject: You need more sophisticated sentence openers to make  better connections between your ideas.  Form (Format, Grammar, Punctuation, Usage) Run‐on sentence: You cannot join two sentences with simply a comma—you need a period, semicolon,  or a conjunction (and, but, or) Wrong word: affect↔effect, anxious↔eager, its↔it’s Grammar error: Punctuation error: Usage error: Format error: Appendix B: Key for the Comments on Diagnostic ParagraphOn your quiz, you will receive comments in the form of combinations of the following letters: A B C D a b c d e fEach letter refers to a specific

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Zhiqiang Wu, Wright State University; Bin Wang, Wright State University; Chi-Hao Cheng, Miami University; Deng Cao, Central State University; Zhiping Zhang, Wright State University

Tagged Topics

NSF Grantees Poster Session

only one single RF transmission. Fig. 1(a) shows thissimplified spectrum scenario where multiple signals are located at different frequency bands, anda narrowband filter can be used to distinguish these narrowband transmissions. However, in anadvanced communication system such as a cognitive radio network, multiple signals mightsignificantly overlap in the spectrum. Fig. 1(b) illustrates the scenario where two narrowbandtransmissions with similar but different RF parameters mixed together. At the communicationreceiver, the resulting spectrum is illustrated in Fig. 1(c). It is clear that a conventional spectrumanalysis is not capable of identifying that there are two signals mixed together here. 1500