Conference Session

Faculty Development: Tenure & Promotion

Collection

2006 Annual Conference & Exposition

Authors

Garrick Louis, University of Virginia

Tagged Divisions

New Engineering Educators

overviewyour idea, rationale, major activities, expected results, and achievement of the NSF meritreview criteria of intellectual merit, and broader impacts. Thus, at minimum, the projectsummary should state the issue or problem you propose to study, establish its relevanceand importance to your field of study, state your research hypothesis, and define the longterm goal(s), short term objectives, and associated activities. This is a good point todefine your proposed activities in the areas of research, education, and service oroutreach if appropriate. It is mandatory to state the intellectual merit and broaderimpacts of your proposed work in the project summary, as these address NSF’s meritreview criteria that are required of all proposals submitted

Conference Session

Energy Curriculum Advancements

Collection

2006 Annual Conference & Exposition

Authors

Glenn Ellis, Smith College; Sarah Wodin-Schwartz, Smith College; Israel Koren, University of Massachusetts-Amherst; Baaba Andam, Smith College; C. Mani Krishna, University of Massachusetts-Amherst; C. Andras Moritz, University of Massachusetts-Amherst

Tagged Divisions

Energy Conversion and Conservation

created that consider architectural, operating systems, compiler, andhardware issues in power-aware systems. Associated with each module, are (a) backgroundinformation at the appropriate level, (b) list of references for further study, (c) description of theproblem(s) to be studied, and (d) relevant software.There are six topics over which these modules range: architecture, voltage scaling, operatingsystems and middleware, compilers, VLSI, and wireless networks. A brief description of somerepresentative module is provided below.Architecture • Static and Dynamic Power: This module explains the two types of power consumption in Complementary Metal Oxide Semiconductor (CMOS) circuits. Techniques to mitigate the two are covered

Conference Session

Integrating Teaching Assistants, Tenure-track, and Non-tenure-track Faculty into a Cohesive Department

Collection

2017 ASEE Annual Conference & Exposition

Authors

Brad Wambeke, United States Military Academy; Brock E. Barry, U.S. Military Academy; Jakob C Bruhl P.E., U.S. Military Academy

Tagged Divisions

Civil Engineering

Dictionary. www.merriam-webster.com. Accessed 28 January 2017.8. Dictionary.com. www.dictionary.com/ Accessed 28 January 2017.9. Knowles, M. S. (1980). The Modern Practice of Adult Education: From Pedagogy to Andragogy (Revised and Updated). Cambridge, New York, NY.10. Taylor, B., and Kroth, M. (2009). Andragogy’s transition into the future: Meta-analysis of andragogy and its search for a measurable instrument. Journal of Adult Education, 38(1), 22– 42.11. Entwistle, N. J., and Peterson, E. R. (2004). Conceptions of learning and knowledge in higher education: Relationships with study behaviour and influences of learning environments. International Journal of Educational Research, 41(6), 407–428.12. Struyven, K., Dochy, F., Janssens, S

Conference Session

Military and Veterans Constituent Committee Division Technical Session 3

Collection

2017 ASEE Annual Conference & Exposition

Authors

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

Tagged Topics

Diversity

Tagged Divisions

Military and Veterans

a greater impact to graduationrates online or off-line.References[1] I. F. Liu, Chen, M. C., Sun, Y. S., Wible, D., & Kuo, C. H. , "Extending the TAM Model to Explore the Factors that Affect Intention to Use an Online Learning Community," Computers & Education, vol. 54, pp. 600-610, 2010.[2] M. Chmura, "Babson Study: Distance Education Enrollment Growth Continues," ed. Wellesley, MA: Babson University, 2016.[3] P. Blau, Inequality and Heterogeneity. New York, NY: Free Press, 1977.[4] S. B. Eom, Wen, H. J., & Ashill, N. , "The Determinants of Students' Perceived Learning Outcomes and Satisfaction in University Online Education: An Empirical Investigation.," Decision Sciences Journal of

Conference Session

Entrepreneurship and Innovation: Beyond the University

Collection

2017 ASEE Annual Conference & Exposition

Authors

Jidong Huang, California State University, Fullerton; John B Jackson, California State University, Fullerton; Pradeep Nair, California State University, Fullerton; Amy Cox-Petersen, California State University, Fullerton

Tagged Topics

Diversity

Tagged Divisions

Entrepreneurship & Engineering Innovation

(2011, January). Afterschool innovations in brief: Focusing on middle school age youth. Report, Afterschool Alliance. 2. American Association of University Women (AAUW) (1992). How Schools Shortchange Girls. Emeryville, CA: Marlowe and Co. 3. Blank, S. (2013). Why the lean start-up changes everything. Harvard Business Review, May 2013, 3-9.4. Britner, S. L., & Pajares, F. (2006). Sources of science self‐efficacy beliefs of middle school students. Journal of Research in Science Teaching, 43(5), 485-499.5. Kerr, B. S. (1997). Smart Girls: A New Psychology of Girls, Women and Giftedness. Scottsdale, AZ: Gifted Psychology.6. Langdon, D.; McKittrick, G.; Beede, D.; Khan, B.; & Doms, M. (July 2011). STEM: Good jobs

Conference Session

Division Experimentation and Lab-Oriented Studies - Pedagogy of Lab Courses

Collection

2017 ASEE Annual Conference & Exposition

Authors

Tania Celli Machet, The University Of Sydney; David Lowe, The University of Sydney

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

(6):527-540.5. Jona K, Adsit J. Goals, guidelines, and standards for student scientific investigations. North American Council for Online Learning. 2008. http://www.inacol.org/.6. Lindsay E, Good MC. Effects of laboratory access modes upon learning outcomes. Education, IEEE Transactions on. 2005;48(4):619–631.7. Kable S. Advancing Science by Enhancing Learning in the Laboratory (ASELL) Final Report 2012. Sydney; 2012. http://www.olt.gov.au/system/files/resources/CG9_1049__Kable_ Report_2012.pdf.8. Nedic Z, Machotka J. Remote Laboratory NetLab for Effective Teaching of 1 st Year Engineering Students. International Journal of Online Engineering (iJOE). 2007;3(3).9. Lowe DB, Murray S, Weber L, et al

Conference Session

Program-Level Assessments for Multidisciplinary Areas

Collection

2017 ASEE Annual Conference & Exposition

Authors

Pearl Elizabeth Ortega, Texas A&M University; Magdalini Z Lagoudas, Texas A&M University; Jeffrey E. Froyd, Texas A&M University

Tagged Divisions

Multidisciplinary Engineering

element),  Multidisciplinary Perspectives (interdisciplinary element), and  Interdisciplinary Integration (interdisciplinary element).Under each category, there is a set of questions for a total of 55 criteria. Each criterion was ratedon a scale of 1 (lowest) to 7 (highest) with interpretations provided to guide the ratings. There arepositive and negative elements under each criterion and users of the rubric are encouraged toreference a section(s) of the student’s work that exemplified the element when giving a score.Drawing on Disciplinary Sources as a category evaluated familiarity with the disciplines beingpresented in the research. Critical Argumentation evaluated understanding of the topic beingpresented and its importance

Conference Session

Minorities in Engineering Division Technical Session 8

Collection

2017 ASEE Annual Conference & Exposition

Authors

Maria Teresa Napoli, University of California, Santa Barbara; Elizabeth Sciaky, University of California, Santa Barbara, Center for Science and Engineering Partnerships; Diana Jaleh Arya, University of California, Santa Barbara; Noreen Balos, University of California, Santa Barbara

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering

N000141512438.References[1] US Congress Joint Economic Committee, “STEM Education: Preparing for the Jobs of the Future,” 2012.[2] R. B. Freeman, “Does Globalization of the Scientific/Engineering Workforce Threaten U.S. Economic Leadership?,” in Innovation Policy and the Economy, 2005, no. Vol. 6.[3] A. Carnevale, N. Smith, and M. Melton, “STEM: Science Technology Engineering Mathematics.,” 2011.[4] The Organisation for Economic Co-Operation and Development, “THE OECD JOBS STUDY Facts , Analysis , Strategies (1994).,” 1994.[5] “The U. S. STEM Undergraduate Model,” Business-Higher Educ. Forum, 2013.[6] V. Bertram, “Better STEM Education with Project Lead the Way,” Manufacturing Net News, 2012.[7] J. P. Holdren and

Conference Session

Professionalism and Preparations Developed by Graduate Study Programs—Graduate Studies Division Technical Session 7

Collection

2017 ASEE Annual Conference & Exposition

Authors

Michael W. Keller, The University of Tulsa; Bradley J. Brummel, University of Tulsa; Valerie N. Streets, University of Tulsa; Alison J. Kerr, University of Tulsa; Rami M. Younis, The University of Tulsa; Leah Tecle, University of Tulsa; Daniel W. Crunkleton, University of Tulsa

Tagged Divisions

Graduate Studies

are thoseof the author(s) and do not necessarily reflect the views of the National Science Foundation.References[1] J. S. Shippmann, R. A. Ash, M. Batjtsta, L. Carr, L. D. Eyde, B. Hesketh, J. Kehoe, K. Pearlman, E. P. Prien, and J. I. Sanchez, "The practice of competency modeling," Personnel psychology, vol. 53, pp. 703-740, 2000.[2] B. J. Brummel, D. E. Rupp, and S. M. Spain, "Constructing parallel simulation exercises for assessment centers and other forms of behavioral assessment," Personnel Psychology, vol. 62, pp. 137-170, 2009.[3] D. E. Rupp, A. M. Gibbons, A. M. Baldwin, L. A. Snyder, S. M. Spain, S. E. Woo, B. J. Brummel, C. S. Sims, and M. Kim, "An Initial Validation of Developmental Assessment

Conference Session

Construction 2: Teaching Using Projects, Case Studies, and Service Learning

Collection

2017 ASEE Annual Conference & Exposition

Authors

Robert B. Austin, Bowling Green State University

Tagged Divisions

Construction

Purdue, Civil EngineeringEducation Issues, pp 97-105.Dutson, A, Todd, R Magleby, S., and Sorenson, C. (1997) A Review of Literature on TeachingEngineering Design Through Project-Oriented Capstone Courses, Journal of EngineeringEducation, 86(1), pp 17-28.Griffin, P., Griffin, S. and Llewellyn, D. (2004) The Impact of Group Size and Project Durationon Capstone Design, Journal of Engineering Education, 93(3), pp 185–193.Hackbert, P.H. (2004) Building Entrepreneurial Teamwork Competencies In CollaborativeLearning Via Peer Assessments, Journal of College Teaching & Learning, 1(12), pp 40-52.Hanna, A. and Sullivan, K. (2005) Bridging the Gap between Academics and Practice: A CapstoneDesign Experience, ASCE Journal of Professional Issues in

Conference Session

Construction 1: Special Topics in Construction Education: BIM, Simulation, Sustainability, and Safety

Collection

2017 ASEE Annual Conference & Exposition

Authors

Saeed Rokooei, University of Nebraska, Lincoln at Omaha; James D. Goedert Ph.D., P.E., University of Nebraska, Durham; Asregedew Kassa Woldesenbet, University of Nebraska, Lincoln at Omaha

Tagged Divisions

Construction

Project Management. Journal of Engineering Education, 289-299.Education, D. o. (2014). Learning Technology Effectiveness. Office of Education Technology- U.S. Department of Education. Retrieved from https://tech.ed.gov/wp- content/uploads/2014/11/Learning-Technology-Effectiveness-Brief.pdfEducation, U. D. (2014). Learning Technology Effectiveness. Office of Education Technology - Learning Technology Effectiveness. Retrieved from https://tech.ed.gov/wp- content/uploads/2014/11/Learning-Technology-Effectiveness-Brief.pdfGoedert, J., & Rokooei, S. (2016). Project-Based Construction Engineering Education in a Virtual Environment. International Journal of Construction Education and Research, 12(3), 208-223

Conference Session

Student Division Diversity and Persistence Related Technical Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Stacy Lynn Mann, Kettering University ; Diane L. Peters, Kettering University; Rebecca Marie Reck, Kettering University

Tagged Topics

Diversity

Tagged Divisions

Student

Homsher for championing the ideaand providing funding for the event.References [1] McIlwee, J. S. and Robinson, J. G., Women in engineering: Gender, power, and workplace culture. SUNY Press, 1992. [2] Lockwood, P., “Someone like me can be successful: Do college students need same-gender role models?,” Psychology of Women Quarterly, vol. 30, no. 1, pp. 36–46, 2006. [3] Rosenthal, L., London, B., Levy, S. R., and Lobel, M., “The roles of perceived identity compatibility and social support for women in a single-sex stem program at a co-educational university,” Sex Roles, vol. 65, no. 9-10, pp. 725–736, 2011. [4] Miyake, A., Kost-Smith, L. E., Finkelstein, N. D., Pollock, S. J., Cohen, G. L., and Ito, T. A., “Reducing the gender

Conference Session

CoED: Computer Science Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Roxanne Moore, Georgia Institute of Technology; Michael Helms, Georgia Institute of Technology; Jason Freeman, Georgia Tech

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

, S. McCoid, T. Jenkins, and E. Livingston. Tackling engagement in computing with computational music remixing. in Proceeding of the 44th ACM technical symposium on Computer science education. 2013. ACM.8. McCoid, S., J. Freeman, B. Magerko, C. Michaud, T. Jenkins, T. Mcklin, and H. Kan, EarSketch: An integrated approach to teaching introductory computer music. Organised Sound, 2013. 18(02): pp. 146-160.9. Winters, D., Virtuous and Vicious Cycles. The Social State?, 2003: pp. 43.10. Sharan, S. and I.G.C. Tan, Student engagement in learning. Organizing schools for productive learning, 2008: pp. 41-45.11. Haraldsson, H.V., Introduction to systems and causal loop diagrams. System Dynamic Course

Conference Session

Materials Division Technical Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Noah Salzman, Boise State University; Rick Ubic, Boise State University

Tagged Divisions

Materials

).3. Lopatto, D. Undergraduate Research Experiences Support Science Career Decisions and Active Learning. CBE Life Sci Educ 6, 297–306 (2007).4. Beninson, L. A., Koski, J., Villa, E., Faram, R. & O’Connor, S. E. Evaluation of the research experiences for undergraduates (REU) sites program. Council on Undergraduate Research Quarterly 32, (2011).5. Follmer, D. J., Zappe, S. E., Gomez, E. W. & Kumar, M. Preliminary evaluation of a research experience for undergraduates (REU) program: A methodology for examining student Outcomes. in 2015 122nd ASEE Annual Conference and Exposition, June 14, 2015 - June 17, 2015 122nd ASEE Annual Conference and Exposition: Making Value for Society, (American Society for Engineering Education

Conference Session

Predicting Student Success

Collection

2017 ASEE Annual Conference & Exposition

Authors

Seyedhamed Sadati, Missouri University of Science & Technology; Nicolas Ali Libre, Missouri University of Science & Technology

Tagged Divisions

Educational Research and Methods

of semester was incorporated for development of a prediction tool. Linearregression analysis was incorporated to establish correlations between the early semesterperformance and the end-of-semester score as suggested in Equation 4. 𝑛 𝐹𝑖𝑛𝑎𝑙 𝑆𝑐𝑜𝑟𝑒 = 𝛼0 + ∑ 𝛼𝑖 𝐻𝑊𝑖 + 𝛽𝑀𝑇1 + 𝛾𝐵𝑄 (4) 𝑖=1Where 𝛼𝑖 , β and γ are the regression coefficients, 𝐻𝑊𝑖 s are the scores corresponding to each ofthe homework assignments, 𝑀𝑇1 is the score obtained from the first mid-term exam, and 𝐵𝑄 is thescore obtained from in-class performance, i.e. bonus questions.Initially, 80% of the available data points were randomly selected and used for

Conference Session

Instrument Development

Collection

2017 ASEE Annual Conference & Exposition

Authors

Timeri K. Tolnay, Colorado School of Mines; Sam Spiegel, Colorado School of Mines; Jennifer Zoltners Sherer, University of Pittsburgh

Tagged Divisions

Educational Research and Methods

2015. Golden, CO: Colorado School of Mines.Eddy, S. L., Converse, M., & Wenderoth, M. P. (2015). PORTAAL: A Classroom Observation Tool Assessing Evidence-Based Teaching Practices for Active Learning in Large Science, Technology, Engineering, and Mathematics Classes. Cell Biology Education, 14(2), ar23-ar23. doi:10.1187/cbe.14-06-0095Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410-8415. doi:10.1073/pnas.1319030111GORP Tool: UC Davis Center for Educational Effectiveness. (n.d.). Retrieved

Conference Session

Integrating Additive Manufacturing Practices in Education

Collection

2017 ASEE Annual Conference & Exposition

Authors

Tony Fan, Wayne State University; Gene Yeau-Jian Liao, Wayne State University; C. P. Yeh, Wayne State University; Jimmy Ching-ming Chen, Wayne State University

Tagged Divisions

Manufacturing

technologybackgrounds, the corresponding outcomes areElectrical engineering technology:c. (E1) the ability to analyze, design, and implement control systems, instrumentation systems, communications systems, computer systems, or power systems;d. (E2) the ability to apply project management techniques to electrical/electronic(s) systems.Bioengineering technology:c. (B1) the ability to analyze, design, and implement bioengineering systems. 12ConclusionThis project is designed for senior students who have taken courses such as Electrical Machinesand Power Systems, Micro and Programmable Controllers, Design of Machine Elements,Computer-Aided Design and Manufacturing, and Control Systems as prerequisites. The

Conference Session

Career Development in Engineering: From Higher Education to Industry

Collection

2017 ASEE Annual Conference & Exposition

Authors

Mitchell L Springer PMP, SPHR, SHRM-SCP, Purdue University, West Lafayette (College of Engineering); Mark T Schuver, Purdue University, West Lafayette (College of Engineering)

Tagged Divisions

Continuing Professional Development

– Average age vacation and retirement homes – 65 – Average age for cruises – 70 – Average age for predominance of prescription drugs – 77 – Average age for nursing homes - 84As we chronologically age, our life demands for shelter, transportation, food and clothing all arereduced. These many changes are a reflection in large part to our changing family makeup atdistinct periods in time. From above, it can be construed our U.S. populace generally getmarried in their 20’s. The 30’s are typically a time for the collection of material possessions(cars, homes, furniture, appliances, etc.) Our late 40’s reflect an empty nester’s phase, where ourchildren become, theoretically, independent and move out onto their own; whether this

Conference Session

Global Graduate Studies and Programs Abroad - Graduate Studies Division Technical Session 3

Collection

2017 ASEE Annual Conference & Exposition

Authors

Jeffrey Scott Cross, Tokyo Institute of Technology; Mamoru Tanahashi, Tokyo Institute of Technology; Masao Takeyama, Tokyo Institute of Technology; Mutsuko Hatano, Tokyo Institute of Technology; Akira Yamada, Tokyo Tech

Tagged Divisions

Graduate Studies

Paper ID #19042Energy Science and Engineering Graduate Education at Tokyo TechProf. Jeffrey Scott Cross, Tokyo Institute of Technology Jeffrey S. Cross received a Ph.D. in chemical engineering from Iowa State University in 1992. He has worked in Japan at Fujitsu Lab Ltd., National Institute for Inorganics Materials, and at Tokyo Tech for over 20 years and is fluent in Japanese. Jeffrey is Prof. in the School of Environment and Society, Dept. of Transdisciplinarity Science and Engineering and graduate coordinate for the Energy Science and Engineering Major. He teaches online courses on academic writing and on education

Conference Session

Software and Related Tools for Teaching and Course Efficiencies

Collection

2017 ASEE Annual Conference & Exposition

Authors

Alan Jones, Indiana University-Purdue University, Indianapolis

Tagged Divisions

Mechanical Engineering

requirements of collecting and returning homeworkassignments reduces the time commitment and difficulty in teaching large classes.Bibliography1. Hauk, S. & Segalla, A. Student perceptions of the web-based homework program WeBWorK in moderate enrollment college algebra classes. J. Comput. Math. Sci. Teach. 24, 229 (2005).2. Thoennessen, M. & Harrison, M. J. Computer-assisted assignments in a large physics class. Comput. Educ. 27, 141–147 (1996).3. Flori, R. E. et al. Incorporating web-based homework problems in engineering dynamics. in Proceedings of American society of engineering education conference (2002).4. Spain, J. D. Electronic homework: Computer-interactive problem sets for general chemistry. J Chem Educ 73, 222 (1996).5

Conference Session

First-Year Programs: Paying Attention to Retention

Collection

2017 ASEE Annual Conference & Exposition

Authors

Steffen Peuker, California Polytechnic State University, San Luis Obispo

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

. Thereflective comprehensive report challenges students to evaluate themselves against a benchmarkstudent—referred to as a "world-class" engineering student—based on the following objectives:1. Goal setting a. Setting your goal(s) i.e., major, time to graduation, GPA b. Strengthening and clarifying your commitment to your goal(s) c. Setting up a ‘Road Map’ – a plan to guide you over the next years to graduation d. Understanding the essence of engineering2. Community building a. Building relationships, and making effective use of your peers (help-seeking) b. Participating in co-curricular activities3. Academic development a. Navigating the university system, resources, and academic advising b

Conference Session

Technical Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Edris Ebrahimzadeh P.E., Des Moines Area Community College; Nick M. Safai, Salt Lake Community College

Tagged Divisions

International

= −2.0 log ( + ) (1) √𝑓 3.7𝐷 𝑅𝑒 √𝑓where 𝜖 represents the roughness in (𝑚), 𝐷 is diameter (𝑚), and 𝑅𝑒 is the Reynolds number: 𝜌𝑉𝐷 𝑅𝑒 = (2) 𝜇where 𝜌 is the fluid’s density (kg/m3), 𝑉 is the fluid’s velocity (m/s), and 𝜇 is the dynamic viscosity(N.s/m2). It should be mentioned that Eq. (1) is valid only for 𝑅𝑒 > 4000, which serves as thecriterion for turbulent flow. This is an implicit equation for 𝑓, which means we cannot find

Conference Session

Aligning Graduate Programs with Industrial Needs

Collection

2019 ASEE Annual Conference & Exposition

Authors

Chi-Ning Chang, Texas A&M University; Clinton A. Patterson, Texas A&M University; Courtney Lavadia, Texas A&M University; Debra Fowler, Texas A&M University; Raymundo Arroyave, Texas A&M University

Tagged Divisions

Graduate Studies

based on where you are (e.g., academia, industry, national lab, or other places). 3. How does a student's ability to think interdisciplinarily within the ePortfolio influence ​ ote. Provide the response based on where their competitiveness for future positions?​ N you are (e.g., academia, industry, national lab, or other places).For each student’s ePortfolio, employers were invited to point out the strength(s) and areas ofimprovement(s). Inputs for the following two survey questions answered RQ3 (i.e., what areemployers’ suggestions on developing an ePortfolio?). 4. What are the strengths of this student’s ePortfolio? Note. Provide the response based on where you are (e.g

Conference Session

Software Engineering Division Technical Session 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Luis Alberto Rojas Pino, Universidad Andres Bello; Maria Elena Truyol, Universidad Andres Bello, Santiago, Chile; Juan Felipe Calderón, Universidad Andres Bello

Tagged Divisions

Software Engineering Division

learning readiness and project-based learning outcomes: the case of international Masters students in an engineering management course,” European Journal of Engineering Education, vol. 32, no. 4, pp. 453–465, Aug. 2007.[3] G. Zavala, M. E. Truyol, and A. Dominguez, “Professional development program on active learning for engineering faculty in Chile: First stage,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2017, vol. 2017.[4] M. Marques, S. F. Ochoa, M. C. Bastarrica, and F. J. Gutierrez, “Enhancing the Student Learning Experience in Software Engineering Project Courses,” IEEE Transactions on Education, vol. 61, no. 1, pp. 63–73, Feb. 2018.[5] L. F. Capretz, “Bringing the human factor to software

Conference Session

Engineering Ethics Division Technical Session - Assessment

Collection

2019 ASEE Annual Conference & Exposition

Authors

Peter Wesley Odom, Purdue University - Department of Engineering Education; Carla B. Zoltowski, Purdue University-Main Campus, West Lafayette (College of Engineering)

Tagged Divisions

Engineering Ethics

curriculum. Following this there was a surgein publications regarding ethics education at the annual conferences for the American Society forEngineering Education (ASEE). A common concern which kept surfacing were questionsregarding how to measure the effectiveness of new curricular efforts geared towards ethics. Asnoted by a team at Purdue [4], one of the only reliable scales for measuring ethical reasoningmechanisms was the current version of the Defining Issues Test (DIT2). The team noted that,although the DIT2 was a validated measure for the general population, it may not be sufficient tomeasure engineering-specific aspects of moral judgment [5]. In response to this criticism of theDIT2’s appropriateness within engineering education, they

Conference Session

Construction Engineering Division Technical Session 6 - Technology & Simulation

Collection

2019 ASEE Annual Conference & Exposition

Authors

Tom Michael Leathem, Auburn University; Lauren W Redden, Auburn University; Jeffrey Kim, Auburn University; Wesley Collins, Auburn University; Ishmael Boynton Preer

Tagged Divisions

Construction Engineering

performance betweenmodalities. Future research should also include this element of analysis.References[1] Galanek, J. D., Gierdowski, D. C., & Brooks, D. C. (2018). “ECAR Study of Undergraduate Students and Information.” Educause Center for Analysis and Research.[2] Pilgrim, J., Bledsoe, C., & Reily, S. (2012). “New technologies in the classroom.” Delta Kappa Gamma Bulletin, 78(4).[3] JBKnowledge. (2017). The 6th Annual Construction Technology Report, accessed on 1/6/2019: https://jbknowledge.com/2018-construction-technology-report-survey[4] Kim, J. (2018) "A Study to Investigate Using Mobile Devices in the Construction Management Classroom as Rationalized by the Needs of Industry", 2018 Creative

Conference Session

SED Technical Session: Instructional Experiences

Collection

2019 ASEE Annual Conference & Exposition

Authors

Paul T. Grogan, Stevens Institute of Technology; Olivier Ladislas de Weck, Massachusetts Institute of Technology

Tagged Divisions

Systems Engineering

aseries of one or more rounds, each approximately one hour in total duration, with individualsections for introduction, design, build, disassembly, and debriefing. The 20-minute live playsession shown in Figure 5 is a subset of the one-hour round.The introduction addresses background information specific to the learning objectives andexplains the roles, rules, objectives, and constraints for the simulation activity. Participants splitinto teams and pick a unique team name to establish a common identity.The 10-20-minute design period focuses on the LEGO vehicle(s) to be assembled. Based on theapplication, teams either review the master/blueprint or create a new vehicle design usingsupport tools such as cost models or customer. In addition to

Conference Session

Faculty Development Lightning Talks

Collection

2019 ASEE Annual Conference & Exposition

Authors

Donna C. Llewellyn, Boise State University; William L. Hughes, Boise State University; Megan F. Gambs, Boise State University

Tagged Divisions

Faculty Development Constituent Committee

. Robertson, A Guide to Faculty Development, Second Edition. San Francisco, CA: Jossey-Bass, 2010.[2] National Organization for Research Development Professionals. (n.d.) http://www.nordp.org/ [Accessed June 1, 2017].[3] A. Kezar and S. Gehrke “Communities of Transformation and their work scaling STEM reform.” Pullias Center for Higher Education, Rossier School of Education, University of Southern California, 2015. Available: https://pullias.usc.edu/download/communities-of-transformation-and-their-work-scaling- stem-reform/ [Accessed Feb. 4, 2019][4] Stanford University D. School, “The inspiration walk.” Available: https://dschool.stanford.edu/resources/the-inspiration-walk. [Accessed Feb. 4, 2019][5

Conference Session

Engineering and Public Policy Division Technical Session 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Rylan C. Chong, Chaminade University; Helen Turner, Chaminade University; Mark Speck, Chaminade University

Tagged Divisions

Engineering and Public Policy

, Eds. New York, NY: Springer, 2008, pp. 303–307.[3] National Research Council of the National Academies, Using science as evidence in public policy. Washington, DC: The National Academies Press, 2012.[4] R. Chong, D. Depew, I. Ngambeki, and M. Dark, “Teaching social topics in engineering: The case of energy policy and social goals,” presented at the 120th ASEE Annual Conference and Exposition, Atlanta, GA, 2013, pp. 1–16.[5] J. Mendoza-Garcia, I. B. Ngambeki, L. J. Behbehani, D. Evangelou, S. C. Rao, and M. F. Cox, “Defining the knowledge and skills that enable engineers to participate in public policy,” presented at the American Society for Engineering Education, 2012, pp. 1–12.[6] WASC Senior College and University Commission

Conference Session

Minorities in Engineering Division Technical Session 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Eleazar Marquez, Rice University; Samuel Garcia Jr., Texas State University

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering

and organize focus group interviews withunderrepresented students conducting undergraduate research in general. The objective is to assessthe process of attaining their research position. In this regard, focus group interviews will beutilized to facilitate collective reflection and dialogue by providing students opportunities toopenly discuss their learning experiences with fellow peers.Resultantly, Phase 3 of this long-term project involves developing communication channels withfaculty in the school of engineering who have underrepresented minorities conducting researchunder their supervision in order to assist each other in identifying and recruiting more students.REFERENCES[1] Russell, S. H. (2006). Evaluation of NSF support for