Collection

1996 Annual Conference

Authors

Donald N. Merino; D. W. Merino

and money. These iterations are muchmore costly than getting it right the first time. Market Research Market Rresearch Pro duct Characteristic s + Product Characteristics v Engineering Planned selling price less desired profit w I Sup plier Pricing

Collection

1996 Annual Conference

Authors

Paul F. Packman; Charles M. Lovas

.— -- . . . ..— Section 2625 ..... Enhancement of Faculty Design Capabilities Charles M. Lovas, Paul F. Packman SEAS/Southern Methodist University Abstract A crucial factor affecting U. S. productivity is the decline in the quality of engineering design. Theresponse of the Accreditation Board for Engineering and Technology to the pressures to strengthen under-graduate design requirements has not only not improved design education

Collection

1996 Annual Conference

Authors

Jay Jones; Rebecca K. Toghiani; Hossein Toghiani

properties with respect to their ability toextract solutes from complex matrices [Hawthorne and Miller, 1987]. The basis for predicting the volubility of a solute in a supercritical fluid solvent is the equivalence of fugacitiesfor the particular solute in each phase: (1)where the superscript s represents the solid phase and f the supercritical fluid phase. If the volubility of thesupercritical fluid in the solid phase is assumed negligible, then the fugacity of the solute in the solid phase, ~is, isequal to the fugacity of the pure solute, ~,s. The fugacity of the pure solute in the solute phase is evaluated using[Modell and Reid, 1983

Conference Session

Innovations in Manufacturing Education

Collection

2009 Annual Conference & Exposition

Authors

Ning Fang, Utah State University

Tagged Divisions

Manufacturing

., Barnes, S., Coe, S., Reinhard, C., and Subramania, K., “Globalization and the Undergraduate Manufacturing Engineering Curriculum,” 2002, ASEE Journal of Engineering Education 91, pp. 255-261.[2] National Association of Manufacturing, “Keeping America Competitive: How A Talent Shortage Threats U.S. Manufacturing,” a white paper on http://www.nam.org/~/media/Files/s_nam/docs/226500/226411.pdf.ashx, accessed October 6, 2008.[3] Bee, D., and Meyer, B., “Opportunities and Challenges for Manufacturing Engineering,” 2007, Proceedings of the 2007 ASEE Annual Conference & Exposition, June 24-27, 2007, Honolulu, HI.[4] Waldorf, D., Alptekin, S., and Bjurman, R., “Plotting a Bright Future for Manufacturing

Conference Session

Instrumentation and Measurements: Innovative Course Development

Collection

2006 Annual Conference & Exposition

Authors

David Farrow, University of Tennessee-Martin

Tagged Divisions

Instrumentation

material properties and verify the results with known values ofpressure from the internet and/or canning facilities. Multiple brands of soda are analyzed and asingle factor ANOVA is performed to determine if soda brand has any effect on internalpressure. A demonstration of mounting strain gages is given by the instructor.Reports are due the week following the lab sessions. The instructor is usually able to providefeedback within a week after submission, and makes every effort to do so.Table 2 shows how the labs are related to the earlier-listed course topics. Table 2. Relation of Laboratory Experiences to Course Topics p => primary topic of lab s =>

Conference Session

Mechanical ET Curriculum

Collection

2006 Annual Conference & Exposition

Authors

Ronald Earley, Miami University

Tagged Divisions

Engineering Technology

software of the profile of a two dimensional plate cam. Figure 1 P r o b l e m 3 -4 6 s u m X --> A (8 . 8 4 ) + C ( 3 . 7 5 ) + B ( 1 3 ) = 2 5 . 5 9 s u m Y --> A ( 8 . 8 4 ) + C ( -6 . 5 ) + B (-7 . 5 ) = -5 . 1 6 R = s q r t (2 5 . 5 9 ^ 2 + 5 . 1 6 ^ 2 ) = 2 6 . 1 t h e t a = i n v t a n ( -5 . 1 6 / 2 5 . 5 9 ) = -1 1 . 4 d e g Page 11.1334.4 Figure 2

Conference Session

ECET Curriculum

Collection

2006 Annual Conference & Exposition

Authors

Elaine Cooney, Indiana University-Purdue University Indianapolis

Tagged Divisions

Engineering Technology

Administration requirements, andeven taking attendance at schools. The compact size of the readers (the size of a text book),affordability of the tags (less than $1 each), and usability of the reader software makes this anideal technology for use in the teaching laboratory. Introducing RFID into the ECET curriculumserves two purposes: it teaches modern tools of the industry, and it gives a practical way to teachimportant radio frequency concepts.How RFID worksThere are four main components in an RFIDsystem: the interrogator or reader, the antenna(s)connected to interrogator, a computer interface,and the tag. (See Figure 1) The interrogator,antenna, and interface will all be part of aninstallation or a handheld system, while the tagwill be attached in

Conference Session

Reflection

Collection

2017 ASEE Annual Conference & Exposition

Authors

Xingya Xu, George Mason University; Lori C. Bland, George Mason University; Stephanie Marie Kusano, University of Michigan; Aditya Johri, George Mason University

Tagged Divisions

Educational Research and Methods

recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation.References1. Borkowski, J. G., Carr, M., & Pressley, M. (1987). “Spontaneous” strategy use: Perspectives from metacognitive theory. Intelligence, 11(1), 61-75.2. Bransford, J. D., Brown, A., & Cocking, R. (1999). How people learn: Mind, brain, experience, and school. Washington, DC: National Research Council.3. Chopra, S. K., Shankar, P. R., & Kummamuru, S. (2013, August). MAKE: A framework to enhance metacognitive skills of engineering students. In Teaching, Assessment and Learning for Engineering (TALE), 2013 IEEE International Conference on (pp. 612-617). IEEE.4. Cross, D. R., &

Conference Session

CoED Mechanical Engineering Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Joseph Michael Mahoney, Penn State Berks ; Rungun Nathan, Pennsylvania State University, Berks Campus

Tagged Divisions

Computers in Education

and recorded these as the naturalfrequencies, again assuming no damping in the system. The values from the multiple trials wereaveraged together to find the experimental values.Sample Student WorkUsing the theory, the dimensions of the bar and the material properties, students found the naturalfrequencies for principal axes designated as 𝑥 and 𝑧 in Table 1. Table 1: Analytically-Determined Natural Frequencies 𝜔𝑛 x-axis (rad/s) z-axis (rad/s) 1 617 494 2 1702 1361 3 3336 2669 4 5514

Conference Session

Career Development in Engineering: From Higher Education to Industry

Collection

2017 ASEE Annual Conference & Exposition

Authors

Ben David Lutz, Virginia Tech; Marie C. Paretti, Virginia Tech

Tagged Topics

Diversity

Tagged Divisions

Continuing Professional Development

scenarioscan and do create spaces for workplace learning. Moreover, the examples they provided arelargely idealized and do not account for the full range of experiences newcomer engineersencounter. Thus, analysis included working recursively through the data, literature, and examplesto develop operational definitions of each variable. We deconstructed the examples provided byJacobs and Park (2009) to develop functional criteria that could be applied to journal entries todetermine the location, structure, and role of facilitator(s) within each entry, as described below.Determining location of learningJacobs and Park (2009) define on-the-job as learning that occurs “near or at the actual worksetting,” but also emphasize experienced-based learning in on

Conference Session

Teaching Statics, Dynamics, and Mechanics of Materials

Collection

2017 ASEE Annual Conference & Exposition

Authors

Yan Tang, Embry-Riddle Aeronautical Univ., Daytona Beach

Tagged Divisions

Mechanics

Cartesian coordinate system with the originat the initial position and upward as the positive 𝑦-direction.Example: The skier leaves the 20°surface at 10 m/s. Determine the distance 𝑑to the point where he lands [Example 13.7 in 3]. Table 1 Solution and Cognitive Load Analysis Solution Cognitive Load Analysis 𝑎𝑥 = 0, 𝑎𝑦 = −9.81 m/s2 Most students should be familiar with it so it will not be counted as a new item. 𝑣𝑥 = 10 ⋅ cos 20∘ m/s, No new item is introduced as most students should be able to figure

Conference Session

Community Engagement Division Technical Session 5

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Adetoun Yeaman, Virginia Polytechnic Institute and State University ; Diana Bairaktarova, Virginia Polytechnic Institute and State University; Kenneth Reid, Virginia Polytechnic Institute and State University

Tagged Divisions

Community Engagement Division

understanding of empathy has also been pursued in the fields ofengineering and technology for purposes relating to the ability of robotic technologies to imitatehuman abilities [8]–[10]. In our study, we focus on the aspect of empathy research concernedwith the ability of people to consider how their decisions affect others.Service learning (S-L) is a well-studied approach to teaching and learning [11]–[16]. It is one ofseveral pedagogies for engaging students in learning. In this study, by service learning we meana learning environment where students are taking a course for credit, serving a community aspart of the course and reflecting on their experience also as a component of the course [12], [17].S-L has been identified as a helpful pedagogy for

Conference Session

Student Division Technical Session 5

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Hassan Ali Al Yagoub, Purdue University-Main Campus, West Lafayette (College of Engineering)

Tagged Topics

Diversity

Tagged Divisions

Student

Literature Review of the Upbringing Influence on Spatial Ability References 1) Bandura, A., “Self-efficacy: Toward a Unified Theory of Behavioral Change”, Psychological Review, Vol. 84, 1977, pp. 191-215. 2) Bandura, A. (1997). Self-efficacy: The exercise of control. New York: Freeman. 3) Berger, P., & Luckmann, T. (1966). The social construction of reality: A treatise in the sociology of knowledge. Garden City, NY: Doubleday. 4) Dabbs Jr, J. M., Chang, E. L., Strong, R. A., & Milun, R. (1998). Spatial ability, navigation strategy, and geographic knowledge among men and women. Evolution and Human Behavior, 19(2), 89-98. 5) DeLamater, J. D., & Hyde, J. S. (1998

Conference Session

Military and Veterans Division Technical Session 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Reza Rahdar, Embry-Riddle Aeronautical University; Ghazal Barari, Embry-Riddle Aeronautical University; Yuetong Lin, Embry-Riddle Aeronautical University; Ryan Goyings, Embry-Riddle Aeronautical University

Tagged Divisions

Military and Veterans

more of the following characteristics: resilience self-organization, and hierarchy. • Focus on the mentor and mentee’s needs––two-way communication. Mentor should look to improve the mentee’s prospects while respecting the his/her personal life circumstances and perspective. • Pursue and use help and support from facilitators and program staff.References [1] S. A. Ginder, J. E. Kelly-Reid, and F. B. Mann, “Enrollment and employees in postsecondary institutions, fall 2017; and financial statistics and academic libraries, fiscal year 2017”, U.S. DEPARTMENT OF EDUCATION, Tech. Rep., 2019. [2] A. Radford, A. Bentz, R. Dekker, and J. Paslov, “After the post-9/11 GI bill: A profile of military service members and veterans

Conference Session

Course Design, Course Projects, and Student Perceptions in Chemical Engineering

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Nicolas Hudon, Queen's University; Louise Meunier P.Eng., Queen's University

Tagged Divisions

Chemical Engineering

):63–85, 2000. [2] D. H. Jonassen. Learning to Solve Problems: An Instructional Design Guide. Instructional Technology and Training Series. Pfeiffer, San Francisco, CA, 2004. [3] D. H. Jonassen. Learning to Solve Problems: A Handbook for Designing Problem-solving Learning Environment. Routhledge, New York, NY, 2011. [4] D. R. Woods, A. N. Hrymak, R. R. Marshall, P. E. Woods, C. M. Crowe, T. W. Hoffman, J. D. Wright, P. A. Taylor, K. A. Woodhouse, and C. G. K. Bouchard. Developing problem solving skills: The McMaster problem solving program. Journal of Engineering Education, 86(2):75–91, 1997. [5] P. C. Wankat and F. S. Oreovicz. Teaching Engineering. Purdue University Press, 2nd edition, 2015. [6] D. R. Woods. An evidence-based

Conference Session

Lessons Learned about Faculty Development!

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Elise A. Frickey, Iowa State University; Diane T. Rover, Iowa State University; Joseph Zambreno, Iowa State University; Ashfaq A Khokhar, Iowa State University; Douglas W. Jacobson, Iowa State University; Lisa M. Larson Ph.D., Iowa State University; Mack Shelley, Iowa State University of Science and Technology

Tagged Topics

Diversity

Tagged Divisions

Faculty Development Division

material are those of the author(s) and do not necessarily reflect the views of the NSF. References[1] M. F. Fox, “Women and men faculty in academic science and engineering: Social- organizational indicators and implications,” American Behavioral Scientist, vol. 53, no. 7, pp. 997–101, 2010.[2] M. Sabharwal and E. A. Corley, "Faculty job satisfaction across gender and discipline," The Social Science Journal vol. 46, no. 3, pp. 539-556, September, 2009.[3] Bureau of Labor Statistics, U. S. Department of Labor, Occupational Outlook Handbook, Postsecondary Teachers, on the Internet at https://www.bls.gov/ooh/education-training-and- library/postsecondary-teachers.htm

Conference Session

Assessment and Research Tools

Collection

2018 ASEE Annual Conference & Exposition

Authors

Carey Whitehair; Catherine G.P. Berdanier, Pennsylvania State University, University Park

Tagged Divisions

Educational Research and Methods

thatacademic preparation is typically not one of the main reasons for attrition 4,5. In other words, moststudents who leave academia choose to leave because of their own personal decision, not becausethey failed qualifying exams or are doing poorly in their courses 5–7. Indeed, Barnes et al.’s 8,9studies of graduate attrition showed that the attributions that professors give for their students thatleave are different than the rationale that the corresponding non-completing students give forleaving. The misalignment, misunderstanding, or attribution bias that may exist (from both parties)is worthy of study and is likely due to the issues that have arisen with sampling a sensitivepopulation.Further, most attrition literature takes a sociological view of

Conference Session

Scaling class size and technology – New Engineering Educators Division

Collection

2018 ASEE Annual Conference & Exposition

Authors

Michael Allen Hayden Ph.D., Indiana State University; Randell W. Peters, Indiana State University

Tagged Divisions

New Engineering Educators

otheractivities. By practicing what you teach, you can efficiently accomplish the teaching,scholarship, and service goals necessary for promotion and tenure and have a fruitful andenjoyable career. Reference List[1] R. Brent, R. Felder, S. Rajala, J. Gilligan and G. Lee, "New faculty 101: an orientation to theprofession [engineering teacher training]," 31st Annual Frontiers in Education Conference.Impact on Engineering and Science Education. Conference Proceedings (Cat. No.01CH37193),Reno, NV, 2001, pp. S3B-1-3 vol.3. doi: 10.1109/FIE.2001.964046 [Accessed Jan. 11, 2018].[2] C. Lucas, J. Murry, “Teaching: Lectures and Discussion,” in New Faculty. New York:Palgrave Macmillan, 2011, pp. 39-63.[3] J. Pedersen, G

Conference Session

NSF Grantees Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Justin L Hess, Indiana University Purdue University, Indianapolis; Charles Feldhaus, Indiana University Purdue University, Indianapolis; Maher E. Rizkalla P.E., Indiana University Purdue University, Indianapolis; Mangilal Agarwal, Indiana University-Purdue University Indianapolis

Tagged Topics

Diversity, NSF Grantees Poster Session

participated in this six-week nanotechnology summer research program in 2015 and who then integratednanotechnology into the classroom over the 2015-2016 academic school year. Second, we reportobservational data from five teachers’ nano-lessons by using a modified version of the ScienceTeacher Inquiry Rubric (STIR).5 Third, using the Student Attitudes toward STEM (S-STEM)survey,6 we present changes in these teachers’ students’ attitudes towards STEM, as well aschanges in students’ perceptions of their own 21st century skills. Lastly, we report changes instudents’ reported interests in 12 STEM careers.Table 1. Overview of Research Evaluation Questions and Methods Research Evaluation Questions Method Participant Q1

Conference Session

Design in Engineering Education Division: Capstone Design Practices

Collection

2019 ASEE Annual Conference & Exposition

Authors

Corey T. Schimpf, Concord Consoritum; Xudong Huang, Concord Consortium; Charles Xie; Zhenghui Sha, University of Arkansas; Joyce E. Massicotte, Concord Consortium

Tagged Divisions

Design in Engineering Education

responsibilities for the design challengeInstructional Design Agents RoleWhat is the role of an instructional design agent? The instructional design agent’s role can bedefined as the set of responsibilities and activities that fall within an agent’s intended purpose,which when viewed holistically, demarcate its position or part to play within the designchallenge.In light of this definition, we turn to three points of consideration needed to develop this role:what design intelligence will the agent(s) embody, what specific types of roles will the designagent(s) assume and how many design agents should be employed.We discuss the design intelligence agents embody first, as this has implications for the

Conference Session

First-Year Programs: Work in Progress Postcard Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Oai Ha, Western Carolina University; Martin L. Tanaka, Western Carolina University; Sudhir Kaul, Western Carolina University

Tagged Divisions

First-Year Programs

less mechanics concepts involvedwith cross sections while ENGT Strength of Materials course has mainly 2D orthogonal views ofstructural cross sections, thereby losing all depth cues associated with the 3D structures. Thisfinding is contradictory to the result from a previous study carried out by the same author(s)[1].The previous study found a significant positive correlation (ρ = 0.552 at p = 0.01) between SBSTscores of mechanical engineering students and their performance in the Mechanics of Materials(MOM) course. It is noted that the engineering students’ performances in MOM in the previousstudy was measured by using the MOM concept inventory [22], a survey consisting of 23conceptual understanding questions, not the final course grades as

Conference Session

Bridge Programs Connecting to First-Year Engineering

Collection

2019 ASEE Annual Conference & Exposition

Authors

Rezvan Nazempour; Houshang Darabi, University of Illinois, Chicago; Peter C. Nelson, University of Illinois, Chicago; Renata A. Revelo, University of Illinois, Chicago; Yeow Siow, University of Illinois, Chicago; Jeremiah Abiade

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs, Pre-College Engineering Education

group as a senior engineer, and later brought his real-world expertise back into the classroom at Purdue University Calumet. He is currently a Clinical Associate Professor at the University of Illinois at Chicago where he enjoys success in teaching and education research.Prof. Jeremiah Abiade c American Society for Engineering Education, 2019 Execution Details and Assessment Results of a Summer Bridge Program for First-year Engineering StudentsAbstractThis paper reports the execution details and the summary assessment of a Summer Bridge Program(SBP) that is a part of an ongoing National Science Foundation (NSF) Scholarships in Science,Technology, Engineering, and Math (S-STEM

Conference Session

CEED Technical Session II: Developing Research and Design Skills Through Experiential Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jeremy Straub, North Dakota State University

Tagged Divisions

Cooperative and Experiential Education

planned.AcknowledgementsThis work was performed with support from the U.S. National Science Foundation (award #1757659).References[1] K. Evans and F. Reeder, A Human Capital Crisis in Cybersecurity: Technical Proficiency Matters. Washington, DC: Center for Strategic & International Studies, 2010.[2] Cyber Seek, “Cybersecurity Supply/Demand Heat Map,” Cyber Seek Website, 2019. [Online]. Available: https://www.cyberseek.org/heatmap.html. [Accessed: 03-Feb-2019].[3] J. Mirkovic, A. Tabor, S. Woo, and P. Pusey, “Engaging Novices in Cybersecurity Competitions: A Vision and Lessons Learned at {ACM} Tapia 2015.” 2015.[4] R. S. Cheung, J. P. Cohen, H. Z. Lo, F. Elia, and V. Carrillo-Marquez, “Effectiveness of Cybersecurity Competitions,” in

Conference Session

Faculty Development Technical Paper Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Teresa Lee Tinnell, University of Louisville; Patricia A. Ralston, University of Louisville

Tagged Divisions

Faculty Development Constituent Committee

Paper ID #25415Faculty Embrace Collaborative Learning Techniques: Sustaining Pedagogi-cal ChangeMrs. Teresa Lee Tinnell, University of Louisville Terri Tinnell is a Curriculum and Instruction PhD student and Graduate Research Assistant at the Univer- sity of Louisville. Her research interests include interdisciplinary faculty development, STEM identity, and retention of engineering students through career.Dr. Patricia A. Ralston, University of Louisville Dr. Patricia A. S. Ralston is Professor and Chair of the Department of Engineering Fundamentals at the University of Louisville. She received her B.S., MEng, and PhD

Conference Session

NSF Grantees Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Debra A. Major, Old Dominion University; Seterra D. Burleson, Old Dominion University; Xiaoxiao Hu, Old Dominion University; Kristi J. Shryock, Texas A&M University

Tagged Topics

NSF Grantees Poster Session

quickassessment of student engineering identity and promote understanding of the relationshipbetween student engineering identity and persistence in engineering. The brief quantitativemeasure of engineering identity used in this study has the potential to be utilized in programs andinterventions developed to improve retention rates in engineering programs, especially in thosewith larger numbers of participants. The findings presented are part of a larger project supportedby the NSF under Grant No. 1504741.References[1] S. Olson and D. G. Riordan, "Engage to excel: Producing one million additional college graduates with degrees in science, technology, engineering, and mathematics," Executive Office of the President, President’s Council of

Conference Session

NSF Grantees Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Karinna M. Vernaza, Gannon University; Saeed Tiari, Gannon University; Scott Steinbrink, Gannon University; Lin Zhao, Gannon University

Tagged Topics

NSF Grantees Poster Session

Faculty Award for Excellence in Service-Learning. Dr. Vernaza does research in engineering education (active learning techniques) and high-strain deformation of materials. She is currently the PI of an NSF S-STEM.Dr. Saeed Tiari, Gannon UniversityDr. Scott Steinbrink, Gannon University Dr. Scott Steinbrink is an associate professor of Mechanical Engineering.Dr. Lin Zhao, Gannon University Lin Zhao received the Ph.D. degree in electrical engineering from the University of Western Ontario, London, ON, Canada in 2006. She received the B.Sc. and M.Sc. degrees in electrical engineering from Shandong University, Jinan, China, in 1993 and 1996 respectively. From 1996 to 2002, she was a Faculty Member with the School of

Conference Session

NSF Grantees Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Monica E. Cardella, Purdue University-Main Campus, West Lafayette (College of Engineering); David B. Knight, Virginia Tech; Walter C. Lee, Virginia Tech; Karl W. Reid, National Society of Black Engineers; Morgan M. Hynes, Purdue University-Main Campus, West Lafayette (College of Engineering); Glenda D. Young Collins, Mississippi State University; Cheryl Beauchamp, Regent University; Tikyna Dandridge, Purdue University; Donovan Colquitt, Purdue University-Main Campus, West Lafayette (College of Engineering)

Tagged Topics

Diversity, NSF Grantees Poster Session

. This project focuses on the National Society of Black Engineers (NSBE)'s SummerEngineering Experiences for Kids (SEEK) program. This multi-partner project allows us toexpand and strengthen the experience, conduct research on the impact of the program, andconduct research on how such outreach programs might grow in sustainable manners. Our posterwill present a summary of the large-scale data collection that occurred during the summer of2018 at all 16 sites located across the US. We administered a variety of instruments to identifychanges in the children's STEM-related outcomes over the course of the SEEK experience. Tofurther operationalize the variation in organizational contexts across sites, we collected data fromparents and mentors. In the

Conference Session

NSF Grantees Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Nicole Johnson-Glauch, California Polytechnic State University; Geoffrey L. Herman, University of Illinois, Urbana-Champaign

Tagged Topics

NSF Grantees Poster Session

thesedistinctions, we can transition students back to traditional representations after their conceptualknowledge is robust enough to guide them. Our themes of perceptually similar concepts,perceptually obscure concepts, and informationally incomplete representations suggest clearavenues for investigating what types of perceptual cues may hinder students’ ability to developor use appropriate conceptual knowledge. As engineers, we can use this knowledge to potentiallydesign new notations or new pedagogical techniques that can help students recognize andovercome the ways our notation may currently be failing to help students learn.References [1] S. Carey, “Knowledge acquisition: Enrichment or conceptual change?,” in The epigenesis of mind., S. Carey and

Conference Session

Instrumentation Division Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Gholam Ali Shaykhian, Florida Institute of Technology; Jinan Ziade; Mohd Abdelgadir Khairi, Najran University

Tagged Topics

Diversity

Tagged Divisions

Instrumentation

: http://www.dtic.mil2. Abyad, A. (2011). Intercultural leadership and communication in global business. Middle East Journal of Business, 6(2), p. 8-12. http://dx.doi.org/10.5742/mejb.2011.620263. Ali, S., & Green, P. (2012). Effective information technology (IT) governance mechanisms: An IT outsourcing perspective. Information Systems Frontiers, 14(2), 179-193. http://dx.doi.org/10.1007/s10796-009-9183-y.4. Al-Rodhan, N. R. F. (2006). Definitions of globalization: A comprehensive overview and a proposed definition. GCSP. P. 1-21. Retrieved January, 25, 2014 from www.sustainablehistory.com/articles/definitions-of- globalization.pdf5. AME Info.com (2012). The Ultimate Middle East business resource. Retrieved from

Conference Session

Circuits & Systems Education II

Collection

2016 ASEE Annual Conference & Exposition

Authors

Faisal Kaleem, Metropolitan State University; David W. Jacobson, Metropolitan State University ; Firasat Khan, Metropolitan State University

Tagged Divisions

Electrical and Computer

“yes” responsesorH0: p = 0.5 vs. Ha: p < 0.5 when the claim was that there was a majority of “no” responsesIn this case, p represents the overall proportion of “yes” responses when the results for all threesections were combined.In other cases where the response was a 1-5 Likert scale rating, the proportion of selected ratings(often 4’s and 5’s or 1’s) were compared for the three sections. In many instances, thedistribution of ratings for two sections were very similar (typically for the traditional lecture andhybrid sections) so the proportions were pooled and compared to the other section. For this test,the hypotheses were:H0: p1 – p2 = 0 (i.e., p1 = p2) vs. Ha: p1 – p2 > 0 (i.e., p1 > p2) when the claim is that theproportion for