Conference Session

Experiences in Manufacturing Engineering Education

Collection

2018 ASEE Annual Conference & Exposition

Authors

Muhammad Pervej Jahan, Miami University

Tagged Topics

Diversity

Tagged Divisions

Manufacturing

, explaining why the design is notergonomic, and offering possible solution(s) to make the design/part ergonomic. Besidesengaging the students, the assignments allowed the instructor to directly assess students’learning of the concepts from the theory lectures. The students found the assignmentsinteresting and were more engaged to the topic as those ergonomic examples relate totheir daily life. The enthusiasm and interests of the students in those exercises werereflected in the course evaluation as well. It can be concluded that the exercises engagedstudents more intensively in the course and helped them to understand the applications ofergonomics. Finally, the assignments and final term paper/case study helped to achieveseveral learning outcomes

Conference Session

Active Learning in BME, Session I

Collection

2018 ASEE Annual Conference & Exposition

Authors

Jennifer Bailey, Rochester Institute of Technology (COE)

Tagged Divisions

Biomedical Engineering

statistically significant change from Year 1 based on two-tail z-test at 95% confidence.References1. Sinatra, G. M. “The “worming trend” in conceptual change research: The legacy of Paul R. Pintrich,” Educational Psychologist, vol. 40, issue 2, pp. 107-115, 2005.2. Farnsworth, C. B., R. W. Welch, M. J. McGinnis, G. Wright, “Bringing Creativity into the Lab Environment,” in ASEE Annual Conference and Exposition, Atlanta, Georgia, 2013.3. Ramos, R. F., “Introduction of Active Learning Techniques Increases Student Learning in a Systems Physiology Laboratory Course,” in ASEE Annual Conference and Exposition, Indianapolis, Indiana, 2014.4. Sieving, A. L., M. Pool, S. A. Jewett, T. Eustaquio, R. Madangopal, A. Panitch, K. Stuart, A. E. Rundell

Conference Session

Alternative Teaching Methods

Collection

2018 ASEE Annual Conference & Exposition

Authors

Susan Scachitti, Purdue University Northwest; James B. Higley, Purdue University Northwest

Tagged Divisions

Engineering Technology

all post-assessmentresults must be compared relative to a non-flipped method. It has been determined that the nextcourse offering for this course will utilize active learning but the flipped classroom techniquewill not be used. The instructor hopes to gather the missing data at that time for comparison. In addition to baseline knowledge comparison, a simple review of daily assignments andexams seems to indicate lower student grades than typically seen by the instructor (averages inthe 70’s%). This could have been attributed to other changes such as the introduction of an e-book, whereas a traditional text version was used prior to the semester when the flipped approachwas used. General confusion appeared to result for many students as

Conference Session

Teamwork and Student Learning in Design

Collection

2018 ASEE Annual Conference & Exposition

Authors

Nikolaos E. Vitoroulis Jr, Stevens Institute of Technology; Changhong Zhang; Kishore Pochiraju, Stevens Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

torched for thesoldering process (Fig. 8). Upon construction, the trusses are loaded into a compressive test untilfailure. A post-destructive analysis is performed to determine the cause of failure (joint ormember failure), a comparison of actual and predicted loads, and if the predicted failingmember(s) was the first to fail.The primary requirements for the truss design was to span 14 inches, with 0.5 inches of supportat each end, support a theoretical minimum load of 325 lbs., and use no more than 84 linearinches of brass. The metrics of performance are: The predicted max load was compared to actualtesting max load, to depict the discrepancy between theory and practiced based on factors such ascraftsmanship, joint methods, etc.; the overall

Conference Session

COED: Issues Impacting Students Learning How to Program

Collection

2018 ASEE Annual Conference & Exposition

Authors

Nabeel Alzahrani, University of California, Riverside; Frank Vahid, University of California, Riverside; Alex Daniel Edgcomb, zyBooks; Roman Lysecky, University of Arizona; Susan Lysecky, zyBooks

Tagged Divisions

Computers in Education

submission’s time. Note that this time may be anunderestimate, as the time doesn’t include the time the student spent reading the instructions anddeveloping the first submission. If two successive submissions are separated by at least 10minutes, we assume the student was perhaps taking a break (this is not a perfect measure but thebest we can do as we cannot directly observe the student), and thus we exclude that time fromthe total time. For every student (two are shown in Figure 2), such total time is computed. Wethen compute the average of the shortest 20% of such times to yield the baseline time. The sameapproach is done for the number of attempts per student. Figure 2: Definition of struggle rate for a particular CA.Figure 2’s

Conference Session

Design in the BME curriculum

Collection

2018 ASEE Annual Conference & Exposition

Authors

Hannah Yssels; Marina Crowder; Ozcan Gulacar, University of California, Davis; Jennifer H. Choi, University of California, Davis

Tagged Divisions

Biomedical Engineering

sub problem (Table 1) to describe participantperformance on each of the three problems presented during the think aloud interview. Codes Meaning Explanation Students identified all components of a S Successful successful solution to a design step. Students were assigned this code when they UDI Unsuccessful - Did Incorrectly attempted a design step, but were unsuccessful in its completion. Students were unaware of a necessary

Conference Session

First-year Programs Division Postcard Session 1: Retention and Student Success Strategies

Collection

2018 ASEE Annual Conference & Exposition

Authors

Qudsia Tahmina, Ohio State University at Marion

Tagged Divisions

First-Year Programs

. Kowalchuk, J. Nicklow, L. Graceson-Martin, L. Gupta, J. Mathias, J. Tezcan,and K. PericakSpector. (2009). Evaluation of a new engineering residential college initiative.Proceedings of the 2009 American Society for Engineering Education Conference. Austin, TX.[7] Crisp, G., & Cruz, I. (2009). Mentoring college students: A critical review of the literaturebetween 1990 and 2007. Research in Higher Education, 50(6), 525-545. DOI:10.1007/s11162-009-9130-2[8] Hug, S., Thiry, H., & Tedford, P. (2011). Learning to love computer science: Peer leadersgain teaching skill, communicative ability and content knowledge in the CS classroom. InProceedings of the 42nd ACM Technical Symposium on Computer Science Education, 201-206.DOI: 10.1145/1953163.1953225

Conference Session

Electrical/Electronic ET Issues

Collection

2018 ASEE Annual Conference & Exposition

Authors

Steve C. Hsiung, Old Dominion University; Feng Jao, Ohio Northern University; Lijian Xu, Farmingdale State College; Marjaneh Issapour, State University of New York, Farmingdale

Tagged Divisions

Engineering Technology

integrating these materials into researchor application projects. The research team embraces others who are interested in teaching aboutmicrocontrollers to enhance collaboration on these topics. The team had designed a commonhardware platform for laboratory modules at an affordable price to learners, which reflects theconcepts of active learning. Thus, learners are motivated to engage in the activities andexperiments because they can follow the instructional steps well and maintain interest.References1. S. Hsiung and F. Feng, “What does it take to delivery hands-on courses?”. Proceedings of the 2015 American Society for Engineering Education Annual Conference & Exposition. Engineering Technology Division, Session 12044, Seattle

Conference Session

Military and Veterans Division Technical Session 3: Veterans in the Lab Environment

Collection

2018 ASEE Annual Conference & Exposition

Authors

John A. Hamilton Jr., Mississippi State University; DeMarcus Montrez Thomas, Distributed Analytics and Security Institute; Patrick Pape, Distributed Analytics and Security Institute

Tagged Topics

Diversity

Tagged Divisions

Military and Veterans

(hereinafterreferredtoasScholars)selectedfortheprogramwillreceiveone-yearscholarships,withanoptiontocontinuecontingentuponreceiptofadditionalprogramfunds:1.Tuition2.Mandatoryorgeneralfeesasdeterminedbytheinstitution.Optionalormiscellaneousfeeswillnotbecovered.3.Bookallowance4.TravelfundingforonecybersecurityconferenceperacademicyeartocontinentalUS-heldconferencesonly.5.One-timecostoflaptoportabletforcourseworkand/orelectronicbooks(returningscholarswhocontinuefromprioryear(s)and/orcontinueforanadditionaldegree/certificatewillonlyreceiveonelaptop)Rightnowthisprogramisfocusedonourdistanceeducation–offeredMasterofScienceinInformationSystemsprogram,butweareworkingtoexpandourdistance

Conference Session

Evidence-based Practices in Faculty Development

Collection

2018 ASEE Annual Conference & Exposition

Authors

Casey Jane Ankeny, Northwestern University; Lindy Hamilton Mayled, Arizona State University; Lydia Ross, Arizona State University; Keith D. Hjelmstad, Arizona State University; Stephen J. Krause, Arizona State University; James A. Middleton, Arizona State University; Robert J. Culbertson, Arizona State University

Tagged Topics

Faculty Development Constituency Committee

ofsustainable innovation scaling which occurs at the organizational level [5]. Wenger et al.’s,model of Community of Practice was implemented as to encourage the sustainability ofinnovation central to Coburn’s model [6]. Briefly, Rogers outlines a model of personal adoption of innovation which includes fiveaspects. First is knowledge or awareness where there is exposure to innovation. In our facultydevelopment program, this occurs during the workshops. Secondly, to adopt innovation, onemust exhibit a growing interest. Next, the individual must either accept or reject the innovationfollowed by the implementation or trial phase where the innovation is tested. Lastly, theinnovation is sustained through the confirmation or adoption phase. The second

Conference Session

Division for Experimentation & Lab-oriented Studies Technical Session 4

Collection

2018 ASEE Annual Conference & Exposition

Authors

Natasha Smith P.E., University of Virginia; Andrew Jason Hill, University of Southern Indiana; Tom McDonald, University of Southern Indiana

Tagged Divisions

Experimentation and Laboratory-Oriented Studies

, and artifact descriptionsused for assessment in ENGR291 ABET Learning Outcome and Performance ABET Learning Outcome and Performance Indicator(s) Indicator(s) Students will have the ability to design and con- B.1 Average class grade for the final experiment duct experiments to analyze and interpret data full report submitted during the final exam pe- (Outcome B) riod (Air Rocket experiment, Module 4) B.1 Design and conduct an experiment to solve a given experimental problem. Students will have an understanding of both F.1 Average grade for individual essay on professional responsibilities and workplace student-selected ethics case study (Module 3

Conference Session

Career Development for Engineering Professionals

Collection

2018 ASEE Annual Conference & Exposition

Authors

Rachel LeBlanc, International Council on Systems Engineering; Stacy L. Chiaramonte, Worcester Polytechnic Institute; Stephanie Pals Papia, Worcester Polytechnic Institute; Jessica Papachriston, Worcester Polytechnic Institute; Amanda Maurer Keighley, Worcester Polytechnic Institute ; Brian D. Degon, Worcester Polytechnic Institute; Terri A. Camesano, Worcester Polytechnic Institute

Tagged Divisions

Continuing Professional Development

furtherenhance the ability for the staff to see what courses need to be taken across the entire studentpopulation. This will allow for more targeted course planning and outreach when courses arescheduled.Lastly, expanding Salesforce usage to include Salesforce Communities is also being explored. Itwill allow for continued growth and provide a place for students to easily access answers tocommonly asked questions and a collaborative space for them to connect with each other, staff,and faculty.References[1] L. S. a. M. E. G. Garavalia, "Prior Achievement, Aptitude, and use of Learning Strategies as Predictors of College Student Achievement.," College Student Journal, vol. 36, no. 4, p. 616, 2002.[2] J. A. Hammond, "A First Year Experience of Student

Conference Session

Student Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Shelby Buffington, Syracuse University; Ryan L. Falkenstein-Smith, Syracuse University; Alexander Johnson, Syracuse University; Katy Pieri, Syracuse University; Alex Vincent Jannini, Syracuse University

Tagged Divisions

Student

. We propose thatother chapters solicit similar feedback to ensure that they are addressing the specific needs of thestudents considering that the graduate student population changes over time. We propose that thestructure of this retreat is an effective alternative to semester-based program planning if anotherchapter is struggling with student involvement.References[1] Accreditation Board for Engineering and Technology, "Criteria for Accrediting Engineering Programs, 2018-2019," ABET, Baltimore, 2017.[2] A. S. Patil, "Global engineering criteria for the development of the global engineering profession," World Transactions on Engineering and Technology Education, vol. 4, no. 1, pp. 49-52, 2005.[3] A. Mohan, D. Merle, C. Jackson, J

Conference Session

Enhancing the Statics Classroom

Collection

2018 ASEE Annual Conference & Exposition

Authors

Kimberly B. Demoret P.E., Florida Institute of Technology; Jennifer Schlegel, Florida Institute of Technology; Matthew J Jensen, Florida Institute of Technology

Tagged Divisions

Mechanics

American Society of Engineering Education (Paper ID#2006-67), Chicago, IL, 2006.[6] R. O'Neill, A. Badir, L. D. Nguyen and D. J. Lura, "Homework Methods in Engineering Mechanics, Part 2," in Annual Conference of the American Society of Engineering Education (Paper ID#16553), New Orleans, LA, 2016.[7] D. J. Carpenter, T. Harding, C. J. Finelli, S. Montgomery and H. Passow, "Engineering Students' Perceptions of and Attitudes Towards Cheating," Journal of Engineering Education, pp. 181-194, 2006.[8] Pearson Education Inc, "Mastering Engineering Educator study investigates homework copying at Texas Tech," 2017. [Online]. Available: https://www.pearsoned.com/results/mastering-engineering-educator-study-investigates- homework

Conference Session

Mechanical Engineering Division Technical Session 6

Collection

2018 ASEE Annual Conference & Exposition

Authors

Simon Thomas Ghanat P.E., The Citadel; Dena Garner, The Citadel; Jason Howison, The Citadel; Rebecca A. Hunter, The Citadel; Breeanne Baker Swart, The Citadel; Shankar Madhab Banik, The Citadel; Michael P. Verdicchio, The Citadel; Nathan John Washuta P.E., The Citadel

Tagged Topics

Diversity

Tagged Divisions

Mechanical Engineering

Strongly Agree Q12. I am able to develop my active learning attitude. Strongly Disagree 1 2 3 4 5 Strongly Agree Q13. I am able to enhance my lifelong learning skills. Strongly Disagree 1 2 3 4 5 Strongly Agree Q14. I have positive working relationships with faculty mentor (s) and peers. Strongly Disagree 1 2 3 4 5 Strongly AgreeIt is important to note that the future iterations of the survey will include a modified version ofthese questions to incorporate the role of the program in development of the listed skills. Inaddition, the future survey will be administered at the beginning and at the end of the SUREprogram to

Conference Session

Practice III: Multimedia Learning

Collection

2018 ASEE Annual Conference & Exposition

Authors

Petr Johanes, Stanford University

Tagged Divisions

Educational Research and Methods

instruction and learning research can only benefit the learning researchcommunity.AcknowledgementsThe author gratefully acknowledges the financial support and guidance we received fromStanford’s Office of the Vice Provost for Teaching and Learning.References[1] D. L. Schwartz and K. Hartman, “It is not television anymore: Designing digital video for learning and assessment,” Video Res. Learn. Sci., pp. 335–348, 2007.[2] L. R. Lagerstrom and P. Johanes, “Online Videos: What Every Instructor Should Know,” Comput. Educ. J., vol. 8, no. 1, pp. 67–79, 2017.[3] S. McCloud, Reinventing Comics: How Imagination and Technology Are Revolutionizing an Art Form. HarperCollins, 2000.[4] J. Baetens and H. Frey, The Graphic Novel: An Introduction

Conference Session

COED: Online and Blended Learning Part 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Michelle E. Jarvie-Eggart, Michigan Technological University; Amber Kemppainen, Michigan Technological University; Thomas M. Freeman M.Ed., Michigan Technological University

Tagged Divisions

Computers in Education

Analysis of Online Master’s Programs inEngineering." ​Proceedings of the 2011 Midwest Section Conference of the American Society forEngineering Education​. 2011.13. Pontes, Manuel CF, and Nancy MH Pontes. "Undergraduate students’ preference for distanceeducation by field of study." ​Online Journal of Distance Learning Administration​ 16.2 (2013):n2.14. Badjou, S. and R. Dahmani. “Current Status of Online Science and Engineering Education.”Journal of Online Engineering Education.​ Vol. 4, No.1, Article 3, 2013.15. Kowalski, Theodore J., Dolph, David Alan, and Young, Ila Phillip, ​"Student Motives forTaking Online Courses in Educational Administration"​ (2014). Educational Research Quarterly,Vol. 38, No. 1. pp. 27 - 42. September, 2014. Retrieved

Conference Session

Assessment of Student Learning – New Engineering Educators Division

Collection

2018 ASEE Annual Conference & Exposition

Authors

Sara A. Atwood, Elizabethtown College; Arjun Singh, Gradescope

Tagged Divisions

New Engineering Educators

sword," Current directions in psychological science, vol. 7, pp. 67-72, 1998.[3] R. Moreno, "Decreasing cognitive load for novice students: Effects of explanatory versus corrective feedback in discovery-based multimedia," Instructional science, vol. 32, pp. 99-113, 2004.[4] E. A. Locke and G. P. Latham, "Work motivation and satisfaction: Light at the end of the tunnel," Psychological science, vol. 1, pp. 240-246, 1990.[5] S. H. Song and J. M. Keller, "Effectiveness of motivationally adaptive computer-assisted instruction on the dynamic aspects of motivation," Educational technology research and development, vol. 49, pp. 5-22, 2001.[6] S. J. Ashford, R. Blatt, and D. V. Walle, "Reflections on the

Conference Session

Mechanical Engineering Division Technical Session 3

Collection

2018 ASEE Annual Conference & Exposition

Authors

Kathryn R. Gosselin, San Jose State University; Nicole Okamoto, San Jose State University

Tagged Divisions

Mechanical Engineering

Training in Optics and Photonics, 2009.[8] J. D. Wheadon and N. Duval-Couetil, “Analyzing the expected learning outcomes of entrepreneurship business plan development activities using Bloom’s taxonomy,” in Proceedings of the ASEE 2013 Conference, 2013.[9] R. L. Pimmel, “Student learning of criterion 3 (a)-(k) outcomes with short instructional modules and the relationship to Bloom’s taxonomy,” J. Eng. Educ., vol. 92, no. 4, pp. 351–359, 2003.[10] W. Hussain, M. F. Addas, and F. Mak, “Quality improvement with automated engineering program evaluations using performance indicators based on Bloom’s 3 domains,” in 2016 IEEE Frontiers in Education Conference (FIE), 2016, pp. 1–9.[11] S. M. Brookhart and

Conference Session

PCEE Evaluation Studies

Collection

2018 ASEE Annual Conference & Exposition

Authors

Vanessa LeBow, University of Arkansas; Michelle L. Bernhardt-Barry, University of Arkansas; Jyotishka Datta, University of Arkansas

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

Arkansas. She received her Ph.D, M.S., and B.S. in civil engineering from Texas A&M University. Her research interests include geotechnical engineering, and the use of 3d printed models to aid learning in K-12 and college classrooms.Dr. Jyotishka Datta, University of Arkansas Jyotishka Datta is an Assistant Professor of Statistics at the University of Arkansas at Fayetteville since August 2016. He was an NSF postdoctoral fellow at Duke University and Statistical and Applied Math- ematical Sciences Institute (SAMSI) working with Dr. David B. Dunson (Statistical Science) and Dr. Sandeep S. Dave (School of Medicine). He received my Ph.D. in Statistics from Purdue University in 2014 under the guidance of Prof

Conference Session

IED Technical Session: Preparing Programs for the Future

Collection

2018 ASEE Annual Conference & Exposition

Authors

Anuj Mittal, Iowa State University; Sriram Sundararajan, Iowa State University; D. Raj Raman, Iowa State University; Caroline C. Krejci, University of Texas at Arlington

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering

] Darwish, H., & Van Dyk, L. (2016). The Industrial Engineering Identity: From Historic Skills to Modern Values, Duties, and Roles. South African Journal of Industrial Engineering, 27(3), 50-63. [2] Ozis, F., Pektas, A. O., Akca, M., & DeVoss, D. A. (2017). How to Shape Attitudes Towards STEM Careers: The Search for the Most Impactful Extracurricular Clubs (RTP). Proceedings of the American Society of Engineering Education Annual Conference, Columbus, OH. [3] Brophy, S., Klein, S., Portsmore, M., & Rogers, C. (2008). Advancing Engineering Education in P‐12 Classrooms. Journal of Engineering Education, 97(3), 369-387. [4] Carr, R. L., Bennett, L. D., & Strobel, J. (2012). Engineering in the K

Conference Session

Mechanical Engineering Division Technical Session 4

Collection

2018 ASEE Annual Conference & Exposition

Authors

Brett Batson, Trine University

Tagged Divisions

Mechanical Engineering

student t-test does not indicate the reason(s) the alternativehypothesis must be accepted. It must be admitted, there could have been other factors involvedthan the present study reveals.Individual SuccessesMcGuire [1] reported several individual success stories. These stories highlight students whohad not learned how to study and learn until metacognition was introduced to them. Then, whenthese students understood how to succeed, they did so, sometimes spectacularly. Similar storieswere searched for in the present study.Criteria for defining success is subjective. For this section, a “success story” was defined as astudent earning a failing score on the first exam (before the lectures on metacognition) butearning a satisfactory (C or better

Conference Session

Electrical and Computer Division Technical Session 7

Collection

2018 ASEE Annual Conference & Exposition

Authors

Joshua Alexéi García Sheridan, Virginia Tech; Richard M. Goff, Virginia Tech; Seungmo Kim, Georgia Southern University; Vuk Marojevic, Virginia Tech; Carl B. Dietrich, Virginia Tech

Tagged Divisions

Electrical and Computer

processing algorithmsand SDR waveforms required to perform Cognitive Radio (CR) experiments in real time. Inaddition to the 24 racks connected to USRP2’s, the testbed employs four racks dedicated tonetwork management and administration. An image server provides automated re-imagingcapabilities, a firewall, and a LDAP server provides security/authentication. A dedicated NFSserver is employed at the user plane in order to provide researchers a private directory to storescripts, programs, and test results. Many of the experiments and demos that have been producedthus far have exploited the remote capabilities of this COgnitive Radio NETwork (CORNET) [3]testbed, by employing custom web interfaces, and many of the administrative tasks can now beperformed

Conference Session

Materials Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Spencer Seung-hyun Kim, Rochester Institute of Technology (CAST)

Tagged Divisions

Materials

m-POGIL-based laboratory is tomove away from the more “cookbook” structured lab, where students are typically told stepwisewhat to do in order to collect certain data and to conclude the experimental work. Then, studentsperform the lab experiment within the groups by desirable criteria for the m-POGIL lab-activity.The key desirable criteria for the m-POGIL lab activity are: 1. Making agreements, roles, and responsibilities, as a team-contract, for the teamwork. 2. Requiring generating experimental goal(s) and producing the outcomes. 3. Promoting active decision-making within the group. 4. Evaluating the individual and group performance. 5. Encouraging students to develop questions/or problems for further

Conference Session

MET and Mechatronics

Collection

2018 ASEE Annual Conference & Exposition

Authors

John R. Haughery, Iowa State University

Tagged Divisions

Engineering Technology

,” Journal of Engineering Education, vol. 104, no. 1, pp. 74–100, 2015.[2] G. R. Pike and T. S. Killian, “Reported gains in student learning: Do academic disciplines make a difference?,” Research in Higher Education, vol. 42, no. 4, pp. 429–454, 2001.[3] P. R. Pintrich, D. A. F. Smith, T. Garcia, and W. J. McKeachie, “Reliability and Predictive Validity of the Motivated Strategies for Learning Questionnaire (MSLQ),” Educational and Psychological Measurement, vol. 53, no. 3, pp. 801–813, Sep. 1993.[4] T. T. York, C. Gibson, and S. Rankin, “Defining and measuring academic success,” Practical Assessment, Research & Evaluation, vol. 20, no. 5, p. 2, 2015.[5] P. R. Pintrich, R. W. Marx, and R. A. Boyle, “Beyond Cold Conceptual Change

Conference Session

Active Learning Methods in Action

Collection

2018 ASEE Annual Conference & Exposition

Authors

Megan Sanders, Colorado School of Mines; Sam Spiegel, Colorado School of Mines; Jennifer Zoltners Sherer, University of Pittsburgh

Tagged Divisions

Educational Research and Methods

. For this reason, we argue that theELCOT can serve an important role in helping the field of Engineering Education take “a morenuanced approach to active learning” (Streveler & Menekse, 2017, p. 189). ReferencesFreeman, 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.Prince, M. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93(3), 223-231.Resnick, L. B. (1999, June 16). Making America smarter. Education Week Century

Conference Session

Design and the Capstone Experience

Collection

2018 ASEE Annual Conference & Exposition

Authors

Gregory K Watkins P.E., California State University, Chico

Tagged Divisions

Design in Engineering Education

improve the model, plans are in process to provide additional instructionand support specifically for PMs as a separate cohort. Additional evening class meetings areplanned just for the student PMs. Local alumni, whose primary job is project management, arebeing sought to serve as resources and mentors, and offer first-hand examples of effectivemanagement tools and techniques. A follow-up survey is planned after the changes have beenfully implemented.References1. Watkins, G., “Best Practices for Faculty Mentorship of Capstone Design Projects, Proceedings of the 2011 ASEE Annual Conference, Vancouver, British Columbia2. Howe, S., Poulos, S., & Rosenbauer, L., The 2015 Capstone Design Survey: Observations from the Front Lines, Proceedings

Conference Session

Engineering Physics and Physics Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Kosta Popovic, Rose-Hulman Institute of Technology; Janie Szabo, Rose-Hulman Institute of Technology

Tagged Divisions

Engineering Physics and Physics

III and M. A. McDaniel, Make It Stick, Cambridge, Massachusetts: The Belknap Press of Harvard University Press, 2014.[7] B. S. Bloom, Taxonomy of Educational Objectives, Handbook 1: Cognitive Domain, New York: Addison-Wesley Longman Ltd, 1956.[8] M. Hill, M. Sharma and H. Johnston, "How online learning modules can improve the representational fluency and conceptual understanding of university physics students," European Journal of Physics, vol. 36, no. 4, p. 045019, 2015.[9] J. C. Moore, "Efficacy of Multimedia Learning Modules as Preparation for Lecture-Based Tutorials in Electromagnetism," Education Sciences, vol. 8, no. 1, p. 23, 2018.[10] D. S. Goodman, F. J. Rueckert and J. O'Brien, "Initial Steps Toward a study on the

Conference Session

Electrical and Computer Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Renee M. Clark, University of Pittsburgh; Samuel J. Dickerson, University of Pittsburgh

Tagged Divisions

Electrical and Computer

), 275-294.Ambrose, S. (2013). Undergraduate engineering curriculum: The ultimate design challenge. TheBridge, 43(2), 16-23.Benson, D. & Zhu, H. (2015). Student Reflection, Self-Assessment, and Categorization ofErrors on Exam Questions as a Tool to Guide Self-Repair and Profile Student Strengths andWeaknesses in a Course. Proceedings of American Society of Engineering Education AnnualConference, Seattle, WA.Claussen, S. & Dave, V. (2017). Reflection and Metacognition in an Introductory CircuitsCourse. Proceedings of American Society of Engineering Education Annual Conference,Columbus, OH.Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hilsdale, NJ:Lawrence Earlbaum Associates.Dickerson, S., & Clark, R. (2018

Conference Session

Engineering Ethics Division Technical Session 4

Collection

2018 ASEE Annual Conference & Exposition

Authors

Elisa Warford, University of Southern California

Tagged Topics

Diversity

Tagged Divisions

Engineering Ethics

. Pantazidou and I. Nair, “Ethic of Care: Guiding Principles for Engineering Teaching & Practice,” Journal of Engineering Education, vol. , pp. 205-212, Apr. 1999[4] L. S. Shulman, L. S., Foreword, in Educating Engineers: Designing for the Future of the Field, S. D. Sheppard, K. Macatangay, A. Colby, & W. M. Sullivan, Eds. San Francisco, CA: Jossey-Bass, 2009.[5] J. Tronto, Moral Boundaries: A Political Argument for an Ethic of Care. New York: Routledge, 1993.[6] L. Kohlberg, "Moral stages and moralization: The cognitive-developmental approach,” in Moral Development and Behavior: Theory, Research and Social Issues. T. Lickona, ed. New York: Holt, Rinehart and Winston, 1976.[7] N. Haan, et al., “Family