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

Conference Session

Manufacturing Curriculum and Course Innovations

Collection

2018 ASEE Annual Conference & Exposition

Authors

Chittaranjan Sahay P.E., University of Hartford; Suhash Ghosh, University of Hartford

Tagged Divisions

Manufacturing

the angularorientation of residual machining marks, and much more [12]. In the past decade, significantefforts have been directed towards developing standard worldwide 3D parameters, the result ofwhich is a set of standard “S Parameters” in four general categories: amplitude, spatial, hybridand functional. Similar to 2D Parameters discussed earlier in this paper, the 3D parameterscommonly used now are,Amplitude ParametersBased on overall heights, (1) Root Mean Square Deviation, Sq- RMS of height distribution (2) Skewness, Ssk- the degree of asymmetry of a surface height distribution (3) Kurtosis, Sku – the degree of peakedness of a surface height distribution (4) Average Height, Sz – average of ten highest and lowest points.Spatial

Conference Session

Mechanical Engineering Division Technical Session 9

Collection

2018 ASEE Annual Conference & Exposition

Authors

Hadas Ritz, Cornell University; Meredith N. Silberstein, Cornell University; Nelly Andarawis-Puri, Cornell University

Tagged Divisions

Mechanical Engineering

peers who completed the step-by-step version (p<0.05, d=0.32). Students who are generally weaker on this material, as judged bytheir eventual overall score in this course, tended to be helped more by the open-ended version ofthe lab than students who are generally stronger on this material. This outcome suggests thathaving to design their own experimental protocol may make students more likely to understandor remember all steps involved in particular data reduction tasks. When possible, instructorsshould avoid giving students unnecessarily detailed instructions.References[1] J. S. Bruner, “The Art of Discovery,” Harvard Educational Review 31 (1961): 21–32[2] W. S. Anthony, “Learning to discover rules by discovery,” Journal of

Conference Session

Curriculum and the Classroom

Collection

2018 ASEE Annual Conference & Exposition

Authors

Mustafa Shraim, Ohio University

Tagged Divisions

Engineering Management

. People, Equipment, Material, Environment, and Methods). It was emphasized to look for direct causes only at this point– not solutions and not indirect or root causes (Figure 4). b. 5-Whys: After completing the Ishikawa diagram, each team picked their top three to five causes and used the 5-Whys method to drill down to the potential root cause(s). From the Ishikawa diagram, the team identified three direct causes that could be contributing to the inconsistency in the distance. Using the 5-whys, the root causes were identified (Table 2). Figure 4: Brainstormed Causes of Inconsistency in Distance Table 2: Direct Causes vs. Root Causes

Conference Session

Electrical and Computer Division Technical Session 5

Collection

2018 ASEE Annual Conference & Exposition

Authors

Thomas J. Siller, Colorado State University; Anthony A. Maciejewski, Colorado State University; Andrea M. Leland, Colorado State University; Tom Chen, Colorado State University; Branislav M. Notaros, Colorado State University; Sourajeet Roy, Colorado State University; Adam C. Hicks, Colorado State University

Tagged Divisions

Electrical and Computer

engineering from the University of Belgrade, Yugoslavia, in 1995. His research publications in computational and applied electromagnetics include more than 150 journal and conference papers. He is the author of textbooks Electromagnetics (2010) and MATLAB-Based Electromagnetics (2013), both with Pearson Prentice Hall. Prof. Notaros served as General Chair of FEM2012, Colorado, USA, and as Guest Editor of the Special Issue on Finite Elements for Microwave Engineering, in Electromagnetics, 2014. He was the recipient of the 1999 Institution of Electrical Engineers (IEE) Marconi Premium, 2005 Institute of Electrical and Electronics Engineers (IEEE) MTT-S Microwave Prize, 2005 UMass Dartmouth Scholar of the Year Award, 2012

Conference Session

Design Thinking and Creativity

Collection

2018 ASEE Annual Conference & Exposition

Authors

Kevin Calabro, University of Maryland, College Park

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

.  ● Cognitive training:  instruction aimed to help students understand how systems and  devices work, what principles govern the operation of these components, and describing  case studies of prototypical failures that students may latter draw analogies from.  ● Troubleshooting stations:  instructional method where students are intentionally  provided poor performing designs and scaffolded in identifying the cause(s) of the  problems and asked to improve the performance of the component.  ● Teacher modeling:  a form of coaching in which a teacher demonstrates for students how  they analyze a component that is not performing well.     In addition to describing four teaching strategies that may address

Collection

2018 ASEE Conferences - Conference for Industry and Education Collaboration / San Antonio proceedings

Authors

Gretchen Mosher

91.9%, andthe percentage of correct classifications in each model is shown in Table 5. The high rate of errorin prediction noted in both models (approximately 22% incorrect classification of students whopredicted to be successful but are not) suggests that important variables could be missing fromthe analysis. Model Predicted S Predicted NS Predicted S Predicted NS Actually S Actually NS Actually NS Actually SCART-1 96.74% 77.42% 22.58% (Type II) 3.26 (Type I)CART-2 96.74% 77.42% 22.58 (Type II) 3.26 (Type I)S= success; NS

Collection

2018 ASEE Mid-Atlantic Section Spring Conference

Authors

sunil Dehipawala, Queensborough Community College; Vazgen Shekoyan; Raul Armendariz, Queensborough Community College; Kimberly Anne Riegel; Rex Taibu; Tak Cheung

Tagged Topics

Diversity

neutron flux data (from Neutron Monitoring Stations11) are shown in Figure 2 Neutron hourly flux (c/s) start 6 Sep 2017 3500 3300 3100 2900 2700 2500 0 50 100 150 200 Figure 2: The neutron 1-hr flux data (Counts/sec) with the same time duration of Figure 1. The Athens Centerneutron data (upper curve) was multiplied by 2 for easy display with the Newark Center neutron data (lower curve). 2018 ASEE Mid-Atlantic Spring Conference, April 6-7, 2018 – University of the District of ColumbiaThe Newark

Collection

2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Timothy Matthew Murray, Wentworth Institute of Technology; Shankar Muthu Krishnan, Wentworth Institute of Technology

within six months of first use.15 Some improvements that couldaid in this venture are better data collection, and continued miniaturization. Currently there are some downfalls for wearables in their effectiveness in monitoringsignals due to their use in uncontrolled settings. One such example presented by Nicholas Lowreset al. is in noisy electrode reading due to motion artefacts in products like Kardia Mobile.7 Dirtyelectrodes, bad electrode placement, and outside electrical interference can worsen the ECGreading of a wearable. In addition, traditional silver chloride electrodes may cause skin irritationduring long-term monitoring and require skin preparation, seen in the SEEQ patch and Zio patch.Atte S. Joutsen et al present one

Collection

2018 ASEE Mid-Atlantic Section Spring Conference

Authors

Christopher Lawrence Norve, Wentworth Institute of Technology; Shankar Muthu Krishnan, Wentworth Institute of Technology

Tagged Topics

Diversity

fabrication and replacement. Heart valvesact as one-way valves for blood in the heart. As the heart contracts and relaxes, the heart valvesopen and close to ensure the correct flow of blood in the heart. Heart valves are extremelyimportant as they ensure the correct volume and pressure of blood is being released with eachcontraction of the heart.Heart valve disease occurs if one or more of the heart’s four valves: the tricuspid, pulmonary,mitral, and aortic valves do not work well, or function poorly.12 It is typically caused by heartconditions and disorders, age-related changes, rheumatic fever or infections.12 There are two maintypes of heart valve disease: regurgitation and stenosis.13 Regurgitation occurs when the valve(s) 2018 ASEE Mid

Conference Session

Race/Ethnicity Track - Technical Session V

Collection

2018 CoNECD - The Collaborative Network for Engineering and Computing Diversity Conference

Authors

Ibironke O. Lawal, Virginia Commonwealth University

Tagged Topics

Race/Ethnicity

interviewed, hadgraduated over one thousand women doctorates but had hired only seven in the period in question. Apartfrom recruitment challenges, underrepresentation in engineering may also be due to poor science degreecompletion rates among these groups as racial minority students have much lower STEM completionrate than their white counterparts (Higher Education Research Institute [HERI], 2010). This createsscarcity of minority Ph.D.’s that feed the faculty ranks in engineering and related fields.The literature discusses many factors that affect recruitment of diverse faculty. Implicit bias is one ofthem. Greenwald and Krieger (2006) introduces implicit bias as “an aspect of the new science ofunconscious mental processes that has substantial

Conference Session

International Engineering Education Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Pradeep Kashinath Waychal, Western Michigan University; Jayantrao Bhaurao Patil, R. C. Patel Institute of Technology, Shirpur, India; Pramod Jagan Deore, R. C. Patel Institute of Technology, Shirpur, India; Suhas Pandit Shukla, R. C. Patel Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

International

We formed divisions as per entrance examination scores and allocated better teachersto divisions with poor performers. The teachers were asked to follow the mastery approach i.e.focus more on understanding. We kept the same divisions for all courses. s based on consistentstudent evaluations of teaching effectiveness and performance of their students in universityexaminations. Kulik et al. [12] did meta-analysis of findings from 108 controlled evaluationsto conclude that mastery learning programs have positive effects on the examinationperformance of students in colleges. Further, they found that the effects appear to be strongeron the weaker students in a class, and they also vary as a function of mastery procedures used,experimental designs

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Rose M. Marra, University of Missouri; Carolyn Plumb, Montana State University; Douglas J. Hacker

Tagged Topics

NSF Grantees Poster Session

Preschool TeacherCandidates", Universal Journal of Educational Research, vol. 4, no. 11, pp. 2533-2540, 2016.[8] D. Jonassen, J. Strobel and C. Lee, "Everyday Problem Solving in Engineering: Lessons forEngineering Educators", Journal of Engineering Education, vol. 95, no. 2, pp. 139-151, 2006.[9] S. Loyens, J. Magda and R. Rikers, "Self-Directed Learning in Problem-Based Learning and itsRelationships with Self-Regulated Learning", Educational Psychology Review, vol. 20, no. 4, pp. 411-427,2008.[10] M. Gick and K. Holyoak, “The cognitive basis of knowledge transfer”, Transfer of learning:Contemporary research and applications, Elsevier, pp. 9-46, 1987.[11] D. Jonassen, "Instructional design models for well-structured and III-structured problem

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Peter Rogers, Ohio State University; Denny C. Davis, Ohio State University; Bashirah Ibrahim, Ohio State University; Lin Ding, Ohio State University; Kaycee Ash, Ohio State University

Tagged Topics

NSF Grantees Poster Session

and bottom three motivational attitudes along with the student’s rating.Further, it depicts the average intrinsic and extrinsic scores allowing the student to comparehis/her motivation with that of the whole class. Finally, there is a short summary explaining thestudent’s motivational attitudes category together with the attitude items with which s/he wasleast and most motivated. Example report cards for students intrinsically and extrinsicallybalanced, predominantly intrinsic, and predominantly extrinsic in nature are shown in Figs. 1-3.Figure 1 is an example report card for an intrinsically and extrinsically balanced student with anaverage intrinsic score of 7.4 and average extrinsic score of 8.1. This student provided the lowestrating for