Conference Session

Teaching and Assessment in Chemical Engineering

Collection

2019 ASEE Annual Conference & Exposition

Authors

Margot A Vigeant, Bucknell University; Jennifer Cole, Northwestern University; Kevin D. Dahm, Rowan University; Laura P. Ford, University of Tulsa; Lucas James Landherr, Northeastern University; David L. Silverstein P.E., University of Kentucky; Christy Wheeler West, University of South Alabama

Tagged Divisions

Chemical Engineering

technical content outcomes. Figure 8 shows the distribution ofthese assessments. ABET evaluation criteria covered within thermodynamics included a rangeof topics, including evaluation of information, environmental / political / scientific policies,writing and communications, and safety. In addition, 19 institutions focus solely on technicalcontent within their course(s).Figure 8​: ABET outcomes assessed through chemical engineering thermodynamics.Process and SettingUnsurprisingly, all thermodynamics courses report using class / lecture time (Figure 9).Laboratories were only reported for two programs, explaining the small number of lab reportsseen in Figure 10.Figure 9​: Types of instructional settings used by thermodynamics coursesIn terms of

Conference Session

NSF Grantees Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Rafal Jonczyk, Department of Psychology, Pennsylvania State University, USA; Faculty of English, Adam Mickiewicz University, Poland; Janet van Hell, Pennsylvania State University; Gül E. Okudan Kremer, Iowa State University; Zahed Siddique, University of Oklahoma

Tagged Topics

NSF Grantees Poster Session

/Usualness Appropriateness/Sensicality Literal sentences unoriginal/highly usual highly appropriate /sensical Metaphorical sentences original/highly unusual highly appropriate /sensical Anomalous sentences original/highly unusual highly inappropriate/nonsensicalTable 1. Characteristics critical sentences (literal, metaphorical, anomalous) used in the experiment.The present study builds on Rutter et al.’s [1] study with an aim to extend our currentunderstanding on how the creative potential may be dependent on an individual’s priorknowledge, with a specific focus on engineering knowledge. To this end, we asked engineeringand nonengineering

Conference Session

Aerospace Engineering Education

Collection

2019 ASEE Annual Conference & Exposition

Authors

M. Javed Khan, Tuskegee University; Chadia A. Aji, Tuskegee University

Tagged Topics

Diversity

Tagged Divisions

Aerospace

multidisciplinaryapproach, Proceedings of the 7th International Management Conference, "New Management forthe New Economy", November 7th-8th, 2013, Bucharest, Romania[7] F. C. Bothma , S. Lloyd & S. Khapova (2015). Chapter 2 Work Identity: Clarifying theConcept, pp. 23-51, Springer Science+Business Media Dordrecht, 2015 23 P. G .W. Jansen, G.Roodt (eds.), Conceptualising and Measuring Work Identity, DOI 10.1007/978-94-017-9242-4_2[8] R. L. Cruess, S. R. Cruess, J. D. Boudreau, L. Snell & Y. Steinert (2015). A schematicrepresentation of the professional identity formation and focialization of fedical students andresidents: A guide for medical educators. Academic Medicine, vol. 90(6), June 2015[9] K. Adams, S. Hean, P. Sturgis & J. M. Clark, (2006

Conference Session

Student Division Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Renee M. Desing, Ohio State University

Tagged Topics

Diversity

Tagged Divisions

Student

. Tversky, Eds. New York, NY: Cambridge University Press, 1982, pp. 201–208. their career when encountering with participants. coding and thematic coding. The quantitative 2 N. J. Roese, “Counterfactual Thinking,” Psychol. Bull., vol. 121, no. 1, pp. 133–148, 1997. 3 K. D. Markman, I. Gavanski, S. J. Sherman, and M. N. McMullen, “The Mental challenging situations, such

Conference Session

Women in Engineering Division Technical Session 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Renee M. Desing, Ohio State University; Rachel Louis Kajfez, Ohio State University

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

bachelor’s degrees earned by women in the U.S. has remained between 18.1% and20.5% from 2000 to 2015, with women receiving 20.1% of degrees in 2015 [1]. By contrast,women’s representation in the engineering workforce has been steadily increasing since the1990’s, from 8.6% in 1993 to 14.5% in 2015 [1]. However, according to statistics from 2010,within five years of graduation, 36 percent of women who obtained engineering bachelor’sdegrees either left or never entered the field and within fifteen years after graduation, 60 percentof women who earned engineering bachelor’s degrees had left the field [2]. Despite the recentincreases, these numbers indicate that women are still underrepresented in the workforce and thatretention of women engineers in

Conference Session

Architectural Engineering Division Technical Session 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Negar Heidari Matin, Eastern Michigan University; Ali Eydgahi, Eastern Michigan University

Tagged Topics

Diversity

Tagged Divisions

Architectural Engineering

comfort of occupants and energy efficiency ofbuildings.ReferencesAbas, S. J., and Salman, A. (1992). Geometric and group‐ theoretic methods for computer graphic studies of Islamic symmetric patterns. Computer graphics forum, 11(1), 43–53.Abdullahi, Y., and Embi, M. R. B. (2013). Evolution of Islamic geometric patterns. Frontiers of architectural research, 2(2), 243–251. 26Al-Kodmany, K. (2014). Green towers and iconic design: Cases from three continents. International journal of architectural research, 8(1), 11–28.Alothman, H. (2017). A thesis submitted to the graduate school of applied sciences of near east university. Near East University, Nicosia.Amrousi, M. E. (2017

Conference Session

Design in Engineering Education Division: Design Methodology

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jin Woo Lee, University of Michigan; Shanna R. Daly, University of Michigan; Aileen Huang-Saad, Northeastern University; Colleen M. Seifert, University of Michigan

Tagged Divisions

Design in Engineering Education

Sussex, England: Wiley, 2008.[2] H. Dubberly, How do you design. A compendium of Models, 2004.[3] A. Eide, R. Jenison, L. Northup, and S. Mickelson, Engineering Fundamentals and Problem Solving, 6 edition. New York, NY: McGraw-Hill Education, 2011.[4] A. Ertas and J. C. Jones, The Engineering Design Process, 2 edition. New York etc.: Wiley, 1996.[5] M. French, J. Gravdahl, and M. J. French, Conceptual design for engineers. London: Design Council, 1985.[6] R. A. Baron, “Opportunity Recognition as Pattern Recognition: How Entrepreneurs ‘Connect the Dots’ to Identify New Business Opportunities,” Acad. Manag. Perspect., vol. 20, no. 1, pp. 104–119, Feb. 2006.[7] J. W. Lee, S. Daly, A. Huang-Saad, and C. Seifert, “Divergence in

Conference Session

Industrial Engineering Division Technical Session 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Weihang Zhu, University of Houston; Julia Yoo, Lamar University; James C. Curry, Lamar University; Brian Craig P.E., Lamar University; Hsing-wei Chu P.E., Lamar University; Jiang Zhou, Lamar University

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering

Awarding S-STEM Scholarships to Current StudentsAbstractLamar University in Beaumont, Texas was awarded an NSF S-STEM grant “Industrial andMechanical Engineering Scholars with Scholarships, Career Mentoring, Outreach andAdvisement, Professional Societies and Engineering Learning Community (SCOPE) S-STEMProgram” in 2015. Unlike most scholarship programs that target incoming students, thisscholarship targets enrolled students who have demonstrated successful progress towards aMechanical Engineering or Industrial Engineering degree by having minimum grades of B inCalculus I, Calculus II and Physics I and an overall GPA of at least 3.0. The SCOPE programrequires scholarship recipients to be an active member of the

Conference Session

NSF Grantees Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Elliot P. Douglas, University of Florida; David J. Therriault, University of Florida; Marah B. Berry, University of Florida

Tagged Topics

NSF Grantees Poster Session

participants’ social realities in a dependable way?” Wewill revisit the Q3 framework in the beginning of the project and throughout as the projectprogresses. We will modify the project protocol as needed when reviewing the Q3 framework forquality.ConclusionThe literature review illustrates that ambiguity has not been adequately operationalized. Ourproject has just begun, so at this time we are collecting data, but the goal of this project is tounderstand the different ways that students and practicing engineers experience ambiguity duringproblem solving. The result of our project will be a taxonomy of ambiguity developed from theoutcome space(s). This taxonomy will deepen our understanding of problem solving, allowing usand other researchers to

Collection

2019 ERC

Authors

Kara T Hall

steve.lanctot - kb_0563cf, CC BY New York Times, Feb 15, 2009 2.0,https://commons.wikimedia.org/w/index .php?curid=9486032 Complex societal and scientific challengeshttp://www.shiftn.com/obesity/Full-Map.html Multi-level, multi-factorial, interacting influencesVariations in Team Science Collaboration Is Complex Multi-level Contextual FactorsStokols, D., Misra, S. Moser, R., Hall, K. L., & Taylor, B. (2008). The ecology of team science: Understanding contextual influences on

Conference Session

Assessment of Learning in ECE Courses

Collection

2019 ASEE Annual Conference & Exposition

Authors

David O. Johnson, University of Kansas; Molly A. McVey, University of Kansas; Christopher Patrick Melgares, University of Kansas

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer

for the NOT of a logic function. 44 Design a hierarchial carry-lookahead adder. 3 Create a truth table for a logic function. 45 Design an array multiplier for unsigned binary numbers. 4 Draw the logic network of gates that implements a logic function. 46 Multiply signed binary numbers with 2’s complement arithmetic. 5 Use Boolean Algebra to reduce a logic function. 47 Convert a fixed-point binary number to decimal. Give the decimal exponent range and precision of a single- or double- 6 Prove a

Conference Session

Entrepreneurship & Engineering Innovation Division Technical Session 6

Collection

2019 ASEE Annual Conference & Exposition

Authors

Mohamed Galaleldin, University of Ottawa; Hanan Anis, University of Ottawa

Tagged Divisions

Entrepreneurship & Engineering Innovation

. 223–231, Jul. 2004.[6] K. Sheridan, E. R. Halverson, B. Litts, L. Brahms, L. Jacobs-Priebe, and T. Owens, “Learning in the Making: A Comparative Case Study of Three Makerspaces,” Harv. Educ. Rev., vol. 84, no. 4, pp. 505–531, Dec. 2014.[7] C. C. Bonwell and J. A. Eison, Active learning : creating excitement in the classroom. School of Education and Human Development, George Washington University, 1991.[8] Y. Y. Hong, C. S. Dweck, C. Y. Chiu, D. M. S. Lin, and W. Wan, “Implicit theories, attributions, and coping: A meaning system approach,” J. Pers. Soc. Psychol., 1999.[9] C. S. Dweck, “Implicit Theories,” in Handbook of theories of social psychology, V. 2., P. A. M. van. Lange, A. W. Kruglanski, and E. T

Conference Session

Manufacturing Division Technical Session 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Asghar Rezasoltani, Western Kentucky University

Tagged Divisions

Manufacturing

andsurface properties of new materials. A model consisting of several standard test methods waspresented in this paper. The equipment is used to perform the presented tests are the same as thatused for conventional materials and usually available in material science labs of universities.References[1] Y. Huang, M. C. Leu, J. Mazumder, and A. Donmez, "Additive manufacturing: current state, future potential, gaps and needs, and recommendations," Journal of Manufacturing Science and Engineering, vol. 137, no. 1, p. 014001, 2015.[2] S. Bland and N. T. Aboulkhair, "Reducing porosity in additive manufacturing," Metal Powder Report, vol. 70, no. 2, pp. 79-81, 2015.[3] J. R. C. Dizon, A. H. Espera Jr, Q. Chen, and R. C. Advincula

Conference Session

NSF Grantees Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Amit Jain, Boise State University; Noah Salzman, Boise State University; Donald Winiecki, Boise State University

Tagged Topics

NSF Grantees Poster Session

curriculum was designed through several iterative meetings with industry.The industry advisors identified the Knowledge, Skills, and Abilities (KSAs) that would help themost with the transition from student to professional. These KSAs led directly to the design ofthe Hatchery Unit (HU) courses. Forty professionals from twelve companies have participated inthe design and delivery of HU courses. The academic-industry collaboration has been critical ingetting acceptance from faculty and students.To date, we have offered 57 CS-HU sections with 1591 students (non-unique) enrolled in thesecourses. The five required CS-HU courses are ​Foundational Value​s (14 sections, 473 students),Navigating Computer Systems​ (12 sections, 354 students), ​Intro to

Conference Session

ERM Technical Session 22: Perspectives and Evaluation of Engineering Design Education

Collection

2019 ASEE Annual Conference & Exposition

Authors

Nicholas D. Fila, Iowa State University; Seda McKIlligan, Iowa State University

Tagged Divisions

Educational Research and Methods

and community populations Example(s) Integrate design thinking Increase the difficulty of and Introduce a design project in activities into technical labs time spent on lab projects which students design for and because the challenge was how with an elementary school you developed as an engineer classTable 3. Comparison of Similar Heuristic Observed in All Three Datasets Team Meetings Instructor Interviews Course Papers Title Increase activity within lecture Get students active in lecture Increase activity in lecture Description Add hands-on

Conference Session

Interest & Identity

Collection

2019 ASEE Annual Conference & Exposition

Authors

Mary Ann Jacobs, Manhattan College; Zahra Shahbazi, Manhattan College

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

Engineering Ambassadors reflected on student learning andtheir own practice after each presentation. The EAs responded individually to a six-questionopen-ended survey (Appendix C). Responses that were general in nature are displayed in Figure3.Figure 3. Engineering Ambassadors’ General Reflections on Lesson PresentationsBriefly describe Which part(s) Which part(s) Which part(s) What will you What your lesson of the lesson of your lesson of your lesson do to make that knowledge went really will you do the will you change? and/or skill well? same? change

Conference Session

Track: Faculty - Technical Session 3

Collection

2019 CoNECD - The Collaborative Network for Engineering and Computing Diversity

Authors

Robyn Sandekian, University of Colorado, Boulder; Karen G. Braun, University of Colorado, Boulder; Sarah Miller, University of Colorado, Boulder

Tagged Topics

Diversity, Faculty

. In addition, she runs a faculty devel- opment and leadership program to train and recruit diverse PhD students who wish to pursue academic positions in engineering or applied science after graduation. Dr. Sandekian earned B.S. and M.S. degrees in Aerospace Engineering Sciences at CU Boulder in 1992 and 1994, respectively. She went on to earn a Specialist in Education (Ed. S.) degree in Educational Leadership and Policy Studies in 2011 and a Ph.D. in Higher Education and Student Affairs Leadership in December 2017, both from the University of Northern Colorado. She is a Founding Leader of the American Society of Engineering Education (ASEE) Virtual Community of Practice (VCP) for LGBTQ+ Inclusion in Engineering

Conference Session

ERM Technical Session 4: Professional Development in Undergraduate Programs

Collection

2019 ASEE Annual Conference & Exposition

Authors

Alejandro Gutierrez, University of California, Merced; Christopher A. Butler, University of California, Merced; Abbas Ghassemi, University of California, Merced

Tagged Divisions

Educational Research and Methods

partners will benefit from an improved hiring pool of highly preparedand experienced candidates and from a constant stream of engineering solutions provided by ourstudent teams. Furthermore, this project will help underserved populations at UC Merced succeedprofessionally through the incorporation of collaborative and experiential learning, therebymaking engineering education more inclusive. Finally, the proposed PDT will help make theengineering profession equally attractive and accessible to all students which, in turn, will lead toa more diverse STEM workforce.References[1] S. Howe, L. Rosenbauer, J. Dyke Ford, N. Alvarez, M. Paretti, C. Gewirtz, D. Kotys-Schwartz, D. Knight and C. Hernandez, "Preliminary Results from a Study Investigating

Conference Session

Pre-College Engineering Education in the Formal Classroom

Collection

2019 ASEE Annual Conference & Exposition

Authors

Cara N. Morton, Washington State University; Kira J. Carbonneau, Washington State University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

I can do it can do itI can make a good scientific hypothesis. 0 1 2 3 4 5 6 7 8 9 10 Cannot Pretty sure For sure I do it I can do it can do itI can get myself to do my science school work. 0 1 2 3 4 5 6 7 8 9 10 Cannot Pretty sure For sure I do it I can do it can do it ReferencesAndrew, S. (1998). Self-efficacy as a predictor of academic performance in science. Journal of advanced

Conference Session

Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kenie R. Moses, Educational Technology Research & Assessment

Tagged Divisions

Computers in Education

, K. Reitmeyer, E. Tseytlin, and R. S. Crowley,“Metacognitive scaffolds improve self-judgments of accuracy in a medical intelligent tutoringsystem,” Instructional Science, vol. 42, no. 2, pp. 159–181, Mar. 2014.[6] H. M. Ghadirli and M. Rastgarpour, “A web-based adaptive and intelligent tutor by expert systems,”Advances in Computing and Information Technology, pp. 87–95, 2013.[7] J. A. González-Calero, D. Arnau, L. Puig, and M. Arevalillo-Herráez, “Intensive scaffolding in anintelligent tutoring system for the learning of algebraic word problem solving: Intensive scaffolding in anITS for the learning of AWPS,” British Journal of Educational Technology, vol. 46, no. 6, pp. 1189–1200,Nov. 2015.[8] M. A. Ruiz-Primo and E. M. Furtak, “Exploring

Conference Session

Track: Faculty - Technical Session 4

Collection

2019 CoNECD - The Collaborative Network for Engineering and Computing Diversity

Authors

Yousef Jalali, Virginia Tech; Christine Tysor, Virginia Tech; Vinod K. Lohani, Virginia Tech; Christian Matheis, Guilford College

Tagged Topics

Diversity, Faculty

andtechnical human capital (S&T human capital) [15] as a model to study research collaboration [1],[16], [17]. S&T human capital is defined as the sum of individual’s knowledge, skills, resources,and her professional linkages and networks [15]. With such a model, the concept of collaborationmay go beyond the state of individual partnership and include the entire research team or eventhe research field. However, even these approaches are not often concerned with the quality ofcollaboration and relationships between individuals.Indeed the nature of collaboration cannot be explored unless we go beyond the quantitativemeasures of collaboration to examine the process in addition to outcome. Kraut, et al. [18]emphasize the importance of

Conference Session

M1A: WIP - Learning experiences 1

Collection

2019 FYEE Conference

Authors

Daniel Tai Klawson, University of Maryland, College Park; Nathaniel Alexander Ferlic, University of Maryland; Cheng Peng, University of Maryland, College Park

Tagged Topics

FYEE Conference - Paper Submission

2019 FYEE Conference : Penn State University , Pennsylvania Jul 28 Work in Progress: An Introduction to Computer Vision for First-Year Electrical and Computer Engineering Students Daniel T. Klawson, Nathaniel A. Ferlic, and Cheng Peng Department of Electrical and Computer Engineering, University of Maryland, College Park Abstract-- This work-in-progress paper will detail one of of machine learning, artificial intelligence, image processing,ENEE101’s newest modules, computer vision. ENEE101 is the and self-driving cars.introductory course to electrical and computer engineering (ECE)at the University of Maryland (UMD) [1] [2]. This

Collection

2018 Gulf Southwest Section Conference

Authors

David Ewing

in their first semester, showing around a 48% improvement in retention, or nearly 20 percentage points higher. Figure 1. Overall engineering retention rates, regardless if students took ENGR 1300 in their first semester. The years shown are the Fall cohorts of students. In Figure 1, we track first year, and second year retentionrates within the college of engineering. It should be notedthat ENGR 1300’s first cohort was Fall 2015 and was Figure 3. Second year engineering retention rates forrestricted to 72 students per section. Then, for Fall 2016, the Fall 2015 cohort considering whether students tookthe enrollment grew to 99 students per

Collection

2018 Gulf Southwest Section Conference

Authors

Jeffrey Thompson; Mulugeta Gizaw; Shih-Feng Chou

addition of the ASA increasing thevoltages, and a distance of 7 to 9 cm from the tip of the needle spinnability of the fibers. Uniformity measurements on blankto the stationary collector plate. fiber mat (PCL/CHI = 100/0) revealed that fibers were mostly2.3 SEM Imaging and Material Characteristics deposited at the center of the collection plate and gradually Fiber morphologies and fiber diameters were analyzed by leveled off toward outer area (Figure 3).using a JOEL scanning electron microscopy. Circular punches 3.2 Mechanical Testingwere taken from the fiber mats and sputter coated with Au/Pd Representative engineering stress and engineering strainfor 30 s using

Conference Session

Manufacturing Division Technical Session 4

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jahangir Ansari, Virginia State University; Zhenhua Wu, Virginia State University; Lipika Ghosh, Virginia State University

Tagged Divisions

Manufacturing

Machine and compare the results with unwelded specimens.ProcedureTwo 6061 aluminum alloy plates (6x4x ¼ in) were welded together using the FSW process. Theweld was performed using tool rotational speed of 1200 rpm, the transverse speed of 4.5 mm/s,and plunging force of 5000 N. The welded plate was cut perpendicular to the welded line toproduce four rectangular strips. The strips were machined using CNC mill to make identicalspecimens for the tensile tests. The five steps of the welded specimens’ preparation and thegeometric characteristics of the test specimen are shown in Figure 3. Figure 3- Procedure Steps for Tensile TestThe recorded operation parameters of the FSW machine during the Al-Al welding processes

Conference Session

Educational Research and Methods Division Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jason Tedstone, Clemson University; Karen A. High, Clemson University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

searching. Educational Psychologist, 39, 43–55.Hofer, B. K., & Pintrich, P. R. (1997). The development of epistemological theories: Beliefsabout knowledge and knowing and their relation to learning. Review of EducationalResearch, 67(1), 88–140.King, P. M. & Kitchener, K. S. (1994). Developing Reflective Judgment: Understanding andPromoting Intellectual Growth and Critical Thinking in Adolescents and Adults. San Francisco:Jossey Bass.King, P.M., & Kitchener, K. S. (2001). “The Reflective Judgment Model: Twenty Years ofResearch on Epistemic Cognition,” in B.K. Hofer and P.R. Pintrich, eds., PersonalEpistemology: The Psychology of Beliefs about Knowledge and Knowing, Mahwah, NJ:Lawrence Erlbaum Associates.King, P. M. & Kitchener, K. S

Conference Session

NSF Grantees Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

David W. Jackson, Boston College, Lasell College, and Waltham (MA) Public Schools; Helen Zhang, Boston College; Mike Barnett, Boston College

Tagged Topics

Diversity, NSF Grantees Poster Session

city in Massachusetts,USA. The 199 participating students worked in pairs and trios. An overview of the curriculum ispresented in Table 1, below. In practice the curriculum lasted 14 days, as teachers provided extratime for learners who needed remediation or extra challenge.We generated data from pre- and post-surveys (N = 120 paired); pre-, post- and follow-upinterviews (14, 17, and two, respectively); students’ design artifacts; and classroom observationsof eight student pairs (including 20 hours of video and 10 hours of screen-capture), all in order toexplore student engagement in practices of computation, engineering, and science. Table 1 Overview of smart-greenhouse curriculum sequence Day(s) Topic

Conference Session

NSF Grantees Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Brock J. LaMeres, Montana State University; Jessi L. Smith, University of Colorado, Colorado Springs

Tagged Topics

Diversity, NSF Grantees Poster Session

the impact of creating the videos is inprogress and will be reported at the 2019 ASEE Annual Conference.5. Conclusion This project is studying the role of prosocial affordance beliefs about the ECE professionon motivation to persist in the profession. It also seeks to understand whether a simpleclassroom intervention that forces the student to think about the prosocial value of thecourse material can improve their beliefs about the profession, and in turn, their persistenceintensions. 46. References Bardi, A., & Schwartz, S. H. (2003). “Values and behavior: Strength and structure of relations,” Personality and Social Psychology Bulletin

Conference Session

Pre-College Engineering Education Division Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Rebekah J. Hammack, Montana State University; Tina Vo, University of Nevada, Las Vegas

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

] A. K. Ambusaidi, and S. M. Al-Bulushi, “A longitudinal study to identify prospective science teachers’ beliefs about science teaching using the draw-a-science-teacher-test checklist,” International Journal of Environmental & Science Education, vol. 7, no. 2, pp. 291-311, April 2012.[6] K. D. Finson, “Investigating preservice elementary teachers’ self-efficacy relative to self- image as a science teacher’” Journal of Elementary Science Education, vol. 13, no. 1, pp. 31-41, October 2001.[7] R. Hammack, & T. Ivey, “Elementary teachers’ perceptions of engineering and engineering design,” Journal of Research in STEM Education, vol. 3, no. ½, pp. 48-68, 2017[8] C. Cunningham, C. Lachapele, and A

Conference Session

Engineering Management Division Technical Session 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Mustafa Shraim, Ohio University

Tagged Topics

Diversity

Tagged Divisions

Engineering Management

]. Table 1: PDSA Details Phase Description Plan a change or test aimed at improvement Plan (P) by stating objective, questions, and predictions Carry out the change or run the experiment Do (D) and document problems and issues Analyze data graphically and statistically. Use earlier analysis to build a temporal Study (S) picture. Compare to prediction (expectations