Collection

Chemical Engineering Education

Authors

Enrico Martinez; Shelby Mullen; Brent Rogers; Haley Worman

take off the skinheat and mass transfer coefficients are determined during the and cut the apples into the desired amount and thickness ofconstant-rate drying period. slices. The safety equipment used during this project included10 Chemical Engineering Education TABLE 1 Comparison of experimental and literature values Coefficient Experimental Value Literature Value Range (Reference) Effective Diffusivity (m2/s) 3.3 x

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Elizabeth Cady, National Academy of Engineering; Proctor Page Reid, National Academy of Engineering

Tagged Topics

NSF Grantees Poster Session

well as information for stakeholders to use inefforts to recruit and retain individuals traditionally underrepresented in engineering. The reportalso discusses the future of engineering education in light of these findings.This award was co-funded by the Division of Undergraduate Education in the Directorate forEducation and Human Resources and by the Division of Engineering Education and Centers inthe Directorate for Engineering. References[1] R. W. Lent, S. D. Brown, J. Schmidt, B. Brenner, H. Lyons, and D. Treistman. “Relation of contextual supports and barriers to choice behavior in engineering majors: Test of alternative social cognitive models,” Journal of Counseling Psychology, 50

Conference Session

Course Tools and Practices

Collection

2018 ASEE Annual Conference & Exposition

Authors

Jennifer Snyder, Valencia College; Elizabeth A. Cudney, Missouri University of Science & Technology

Tagged Topics

Diversity

Tagged Divisions

Engineering Management

, which was verified with this data. Stage 3: In this stage, the orthogonal arrays (OA) and signal-to-noise (S/N) ratios are calculated and used to determine the most useful set of predictive variables. Larger S/N ratios are preferred and indicate a possible useful predictive variable. 3 Stage 4: The variables that were identified as significant due to a positive S/N are used to develop a forecasting model. Table 1. Descriptive Statistics of Raw Data Completers Range Factor N Mean Median

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Ahsan Mian, Wright State University; Margaret Pinnell, University of Dayton; M. Suzanne Franco, Wright State University; Leanne Petry, Central State University; Brett Doudican, University of Dayton; Raghavan Srinivasan, Wright State University

Tagged Topics

NSF Grantees Poster Session

(Institute of Transportation Engineers), v 83, n 7, p 22-26, July 2013.3. Gibson, I., Rosen, D., and Stucker, B. (2015). Additive Manufacturing – 3D Printing, Rapid Prototyping, and Direct Digital Manufacturing. 2nd Edition, Springer, 2015.4. 3D Printers. (n.d.). Retrieved January 31, 2018, from http://www.stratasys.com/3d- printers.5. Panda, S. K. (2009). Optimization of Fused Deposition Modelling (FDM) Process Parameters Using Bacterial Foraging Technique. IIM Intelligent Information Management, 01(02), 89-97. Retrieved March 18, 2016.6. Gao, W., Zhang, Y., Ramanujan, D., Ramani, K., Chen, Y., Williams, C. B., Zavattieri, P. D. (2015). The status, challenges, and future of additive manufacturing in

Collection

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

Authors

Rachel Walsh

education in the U.S.International Journal of Higher Education, 5(1), 28-37. doi: 10.5430/ijhe.v5n1p28Esters, L. T., & Retallick, M. S. (2013). Effect of an experiential and work-based learning program onvocational identity, career decision self-efficacy, and career maturity. Career and TechnicalEducation Research, 38(1), 69-83. doi: 10.5328/cter38.1.69 Proceedings of the 2018 Conference for Industry and Education Collaboration Copyright ©2018 American Society for Engineering Education Session CEED 432Hegarty, N. (2014). Where we are now – the presence and importance ofinternational students to

Collection

2018 Engineering Research Council (ERC)

Authors

Peg AtKisson

Research Development Where do you start? M. S. AtKisson, PhD AtKisson Training Group, LLCSources• Research Development: Where to Begin?NCURA magazine, March/April 2014, page 8http://www.ncura.edu/Portals/0/Docs/Magazine/2014/MarchApril2014_NCURAMag.pdf• Growing and integrating Research Development Functions ‒ Eva Allen, M. S. AtKisson, Joanna Downer, Susan Grimes9th Annual NORDP meetinghttp://www.nordp.org/assets/RDConf2017/presentations/nordp-2017-allen.pdfWhat is Research Development?“Research Development encompasses a set of strategic, proactive,catalytic, and capacity-building activities designed to facilitate attractingindividual faculty extramural members, teams research funding

Conference Session

Entrepreneurship & Engineering Innovation Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Kathryn A. Neeley, University of Virginia; Bernd Steffensen, University of Applied Sciences Darmstadt

Tagged Divisions

Entrepreneurship & Engineering Innovation

“Department for Math, Natural Sciences and DataProcessing.” Deleted: s Deleted: ereThe UASDarmstadt began as an upgrade of an engineering school. In 1976 the Christian Deleted: have bothDemocrats asked the Social Democrat government several questions about the role of the social Deleted: is founded withand cultural sciences in the engineering curricula of the UAS in Hesse. These questions got

Conference Session

Teaching Methods for Engineering Mechanics Courses

Collection

2018 ASEE Annual Conference & Exposition

Authors

Carrie A. Francis, University of Northwestern, St. Paul

Tagged Divisions

Mechanics

response to themed exams, a short surveywas developed. The survey questions (Appendix A) generally focused on overall like/dislike ofthe exams along with some of the advantages and pitfalls. Of 71 surveys sent out, 52 werecompleted (73% response). Students were asked whether they liked exams with a theme/story ona 100-point slider where 0 was “Not at all,”50 was “Ambivalent,” and 100 was “VeryMuch.” With 50 responses, students ratedstory exams at 78 ± 21. Exams with astoryline have also held students’ attentionwith 46% reporting that they had toldsomeone outside of engineering about takinga themed exam.Nineteen students rated exams with a storyat 90 or above (eleven 100’s), indicating astrong positive response. The top threereasons students cited

Conference Session

The BEST InDEED

Collection

2018 ASEE Annual Conference & Exposition

Authors

Jin Woo Lee, University of Michigan; Shanna R. Daly, University of Michigan; Varghese Ittoop Vadakumcherry, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

. Brophy, “Comparing the Attributes, Activities, and Performance of Divergent, Convergent, and Combination Thinkers,” Creat. Res. J., vol. 13, no. 3–4, pp. 439–455, Oct. 2001.[4] C. Nigel, “Design cognition: Results from protocol and other empirical studies of design activity,” Des. Knowing Learn. Cogn. Des. Educ., vol. 7, pp. 9–103, 2001.[5] S. Zenios et al., Biodesign: The Process of Innovating Medical Technologies, 1 edition. Cambridge, UK: Cambridge University Press, 2009.[6] P. Rowe, Design thinking. Cambridge, MA: The MIT Press, 1987.[7] D. G. Jansson and S. M. Smith, “Design fixation,” Des. Stud., vol. 12, no. 1, pp. 3–11, 1991.[8] S. Isaksen and J. Gaulin, “A Reexamination of Brainstorming Research: Implications

Conference Session

Connecting BME education to the "real world"

Collection

2018 ASEE Annual Conference & Exposition

Authors

Julia N. Savoy, University of Wisconsin-Madison; Mia K. Markey, The University of Texas at Austin; Henry Grady Rylander III P.E., The University of Texas at Austin

Tagged Divisions

Biomedical Engineering

, Oct. 1994.[5] H. H. Garrison and S. A. Gerbi, "Education and employment patters of US Ph.D.'s in the biomedical sciences," The FASEB Journal, vol. 12, no. 2, pp. 139-148, Feb. 1998.[6] G. M. Pion, The early career progress of NRSA predoctoral trainees and fellows. Bethesda, MD: US Department of Health and Human Services, National Institutes of Health, 2001.[7] G. Pion and I.-P. Martin, "Bridging postdoctoral training and a faculty position: Initial outcomes of the Burroughs Wellcome Fund Career Awards in the biomedical sciences," Academic Medicine, vol. 78, no. 2, pp. 177-186, Feb. 2003.[8] R. St Clair, T. Hutto, C. MacBeth, W. Newstetter, N. A. McCarty, and J. Melkers, "The "new normal

Conference Session

Research Methods

Collection

2018 ASEE Annual Conference & Exposition

Authors

Corey T. Schimpf, The Concord Consortium; Molly H. Goldstein, Purdue University, West Lafayette (College of Engineering); Robin Adams, Purdue University, West Lafayette (College of Engineering); Jie Chao, The Concord Consortium; Senay Purzer, Purdue University, West Lafayette (College of Engineering); Charles Xie, The Concord Consortium

Tagged Divisions

Educational Research and Methods

) Robin S. Adams is an Associate Professor in the School of Engineering Education at Purdue University and holds a PhD in Education, an MS in Materials Science and Engineering, and a BS in Mechanical Engineering. She researches cross-disciplinarity ways of thinking, acting and being; design learning; and engineering education transformation.Dr. Jie Chao, The Concord Consortium Jie Chao is a learning scientist with extensive research experience in technology-enhanced learning en- vironments and STEM education. She completed her doctoral and postdoctoral training in Instructional Technology and STEM Education at the University of Virginia. Her past research experiences ranged from fine-grained qualitative mental process

Conference Session

Career Decisions and Faculty Development

Collection

2018 ASEE Annual Conference & Exposition

Authors

Rohini N. Abhyankar, Arizona State University; Cheryl Carrico P.E., Virginia Tech; Holly M. Matusovich, Virginia Tech; Samantha Ruth Brunhaver, Arizona State University

Tagged Divisions

Educational Research and Methods

influencing their post-graduation career plans? RQ2. What areas of thinking related to junior and senior engineering students’ career plans are influenced by socializers? RQ3. What areas of thinking related to junior and senior engineering students’ career plans are influenced by specific socializers?To answer these questions, we examined interviews with 62 engineering juniors and seniors fromsix different universities in the U.S. To frame our study, we used Eccles et al.'s Expectancy xValue Theory of Achievement Motivation as this framework provides concrete examples ofways that socializers influence student outcomes.5-7Background Literature and Theoretical FrameworksAlthough research shows that socializers

Conference Session

Problem Solving, Adaptive Expertise, and Social Engagement

Collection

2018 ASEE Annual Conference & Exposition

Authors

Oenardi Lawanto, Utah State University; Angela Minichiello P.E., Utah State University; Jacek Uziak, University of Botswana; Andreas Febrian, Utah State University

Tagged Divisions

Educational Research and Methods

students’ knowledge about the task-related discipline(s) [24], [25]. In thisstudy, we only focus on the implicit and explicit aspect of task interpretation. This study views task interpretation as an integral part of self-regulation. Self-regulatedlearning (SRL) is a complex, iterative, and situated goal-directed learning process [5], [8], [26].SRL is comprised by the student, learning environment, and learner’s engagement with theenvironment and is affected by student’s emotion and motivation [7], [9], [26]. Student’sengagement starts with task interpretation. Task interpretation is followed by (a) developing aplan based on the task understanding, (b) enacting the plan, (c) monitoring the progress andapproach, and (d) making any

Conference Session

Active Learning Methods in Action

Collection

2018 ASEE Annual Conference & Exposition

Authors

John Ray Morelock, Virginia Tech; Holly M. Matusovich, Virginia Tech

Tagged Divisions

Educational Research and Methods

about performance, and then code, gave students visual and textual practice more. The goal is to feedback about the code’s results, and improve performance in particular allowed students to retry or move to a concepts/skills over time. harder level (Chaffin et al., 2009). Gamified academic Students perform common A board game where students answered activity classroom learning task(s) with multiple-choice questions about the task-irrelevant game mechanics learning content to correctly to move (e.g., points, rewards, moving around the

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Matthew W. Ohland, Purdue University, West Lafayette (College of Engineering); Susan M. Lord, University of San Diego; Marisa K. Orr, Clemson University; Russell Andrew Long; Richard A. Layton, Rose-Hulman Institute of Technology; Catherine E. Brawner, Research Triangle Educational Consultants; Nichole Ramirez, Purdue University

Tagged Topics

NSF Grantees Poster Session

teamwork models, statewide pre-college math initiatives, teacher and faculty professional development programs, and S-STEM pro- grams.Nichole Ramirez, Purdue University Nichole Ramirez is a postdoctoral researcher in the School of Engineering Education at Purdue Univer- sity. She received her Ph.D. in Engineering Education and M.S. in Aviation and Aerospace Management from Purdue University and her B.S. in Aerospace Engineering from The University of Alabama. She is currently the Associate Director of Policy Analysis for the Multi-Institution Database for Investigating Engineering Longitudinal Development (MIDFIELD). c American Society for Engineering Education, 2018 Expanding

Conference Session

Engineering Design Graphics Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Lukas W. DiBeneditto, Purdue University, New Albany; Rustin Webster, Purdue University, New Albany

Tagged Divisions

Engineering Design Graphics

comparemultiple student files to an instructor's grading key. CADcompare augments the grading processof technical and engineering CAD drawings by highlighting differences that can be easily missedby a human grader, such as incorrect line type(s), color(s), or double lines (i.e., lines on top of eachother). Some CAD software has built-in comparison tools, however, none of the comparison toolsaccept PDF files to compare, are web-based applications, or can compare multiple student files atonce like CADcompare can. Grading engineering CAD drawings with accuracy and fairness cantake a lot of time, the intended use of CADcompare is to act as a grading tool to help instructorsgrade faster, more accurately, and without unintended bias. Spring 2017, a Windows

Conference Session

College-Industry Partnerships Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Raymond Edward Floyd, Northwest College

Tagged Divisions

College Industry Partnerships

Paper ID #22103Industry and Academia: Together Spells SuccessDr. Raymond Edward Floyd, Northwest College c American Society for Engineering Education, 2018 Industry and Academia: Together Spells Success R. E. Floyd, Life Senior IEEEAbstract – Whether one looks at engineering or engineering technology curriculums, there is nooutstanding indication of the importance of the role Industry can play in the successfulcompletion of a student‟s preparation for the future. Whether looking at accredited or non-accredited programs, the importance of Industry‟s partnering with Academia cannot

Conference Session

Aerospace Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Paul F. Penko P.E., Baldwin Wallace University

Tagged Topics

Diversity

Tagged Divisions

Aerospace

kg ρ(air density) 1.2 kg/m3 Coefficient of Drag CD 0.5Mass of Propellant 0.0625 kg dm/dt 0.03676 kg/s Trust T (constant) 80.35 N 2 Agravity 9.8 m/s t(burn) 1.7 s Mass ratio 0.85 2 θ 0 Frontal area A 0.0034211 m Total Impulse 136.6 N-s Time step analysis Vi+1= Vi+[Ti-Di-Migcosθi](Δt/Mi

Conference Session

Programs and Pedagogies

Collection

2018 ASEE Annual Conference & Exposition

Authors

Piyush Taneja; Elnaz Safapour, University of Texas at Arlington; Sharareh Kermanshachi, University of Texas at Arlington

Tagged Divisions

Engineering Management

teachers.References1. Kermanshachi, S. and Safapour, E. (2017), “Assessing Students' Higher EducationPerformance in Minority and Non-Minority Serving Universities,” Proceedings of Frontiersin Education (FIE), IEEE, Indianapolis, Indiana, October 3-6, 2017.2. Jahan Nipa, T., and Kermanshachi, S. (2018), “Analysis and Assessment of GraduateStudents’ Perception and Academic Performance Using Open Educational Resource (OER)Course Materials”, Proceedings of ASEE Annual Conference and Exposition, Salt Lake City,UT, June 24-27, 2018.3. McCarthy, J. P. and Anderson, L. Active Learning Techniques Versus traditionalteaching styles: Two experiments from history and Political Science. Innovative highereducation, 24 (4), 2000.4. Kermanshachi, S

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Andrea M. Ogilvie P.E., Texas A&M University; David B. Knight, Virginia Tech; Maura J. Borrego, University of Texas, Austin; Arturo A. Fuentes, University of Texas, Rio Grande Valley

Tagged Topics

Diversity, NSF Grantees Poster Session

to my 2.81 1.38transfer.I spoke to former transfer students to gain insight about their adjustment experiences. 2.63 1.38Scale: 1-Strongly disagree, 2-Disagree, 3-Neither agree nor disagree, 4-Agree, 5-Strongly agree; Meansare of weighted data. 1 Participants in co-enrollment program(s) were exempt from this survey item.Table 2. Perceptions about the "transfer process" while students were enrolled at [SI] Construct Sub-items Mean Std. Error (N = 1024)1 of Mean

Conference Session

Electrical and Computer Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Christopher Robbiano, Colorado State University; Anthony A. Maciejewski, Colorado State University; Edwin K. P. Chong Ph.D., Colorado State University

Tagged Divisions

Electrical and Computer

. Figure 1: Distribution of Grades per ClassThe dataset includes cumulative GPA per semester that is recorded in a 0.00 to 4.00 range, whileindividual course grades were recorded in a +/- letter grade range from A+ to F. The coursegrades also include I for incomplete, S for satisfactory and W for withdraw. All +/- letter gradeswere converted to a range between 0.00 and 4.00 based on Table 2.In addition to the course grades and cumulative GPA per semester, the dataset containsinformation such as the location of origin, ethnicity and gender, and previous educationalperformance if it existed. —- has a “repeat-delete” policy that allows students to retake a courseand replace the previous grade with the grade from the latest offering of the course

Conference Session

Evidence-based Practices in Faculty Development

Collection

2018 ASEE Annual Conference & Exposition

Authors

Katie Cadwell, Syracuse University; Michelle M. Blum, Syracuse University; Julie M. Hasenwinkel, Syracuse University; Carol Elizabeth Stokes-Cawley, Syracuse University

Tagged Topics

Faculty Development Constituency Committee

) Revisions Introduction to Engineering Course Teaching EnvE (F), U (F) Active Learning Fall 20172 & Computer Science Revisions Chemical Engineering Course Pre-Tenure ChE (S) Active Learning Fall 2017 Thermodynamics II Component AE (J), BE (S), Electrical Engineering

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Susan M. Lord, University of San Diego; Catherine Mobley, Clemson University; Catherine E. Brawner, Research Triangle Educational Consultants; Joyce B. Main, Purdue University, West Lafayette (College of Engineering); Michelle M. Camacho, University of San Diego

Tagged Topics

Diversity, NSF Grantees Poster Session

National Center for Women in Information Tech- nology (NCWIT) and, in that role, advises computer science and engineering departments on diversifying their undergraduate student population. She remains an active researcher, including studying academic policies, gender and ethnicity issues, transfers, and matriculation models with MIDFIELD as well as student veterans in engineering. Her evaluation work includes evaluating teamwork models, statewide pre-college math initiatives, teacher and faculty professional development programs, and S-STEM pro- grams.Dr. Joyce B. Main, Purdue University, West Lafayette (College of Engineering) Joyce B. Main is Assistant Professor of Engineering Education at Purdue University. She

Conference Session

Understanding Diversity, Equity, and Inclusion from Students' Perspectives

Collection

2018 ASEE Annual Conference & Exposition

Authors

Susannah C. Davis, Oregon State University; Naeun Cheon, University of Washington; Elba Camila Moise, University of Washington; Susan Bobbitt Nolen, University of Washington

Tagged Topics

ASEE Diversity Committee, Diversity

authors and do not necessarily reflect the views of the National ScienceFoundation.References1. Committee on Equal Opportunities in Science and Engineering, “Broadening participation in America’s STEM workforce: 2011–2012 biennial report to Congress,” National Science Foundation, Arlington, VA, 2014. Retrieved from https://www.nsf.gov/od/oia/activities/ceose/reports/Full_2011- 2012_CEOSE_Report_to_Congress_Final_03-04-2014.pdf2. S. Hurtado, K. Eagan, and M. Chang, “Degrees of success: Bachelor’s degree completion rates among initial STEM majors,” Higher Education Research Institute at UCLA, 2010.3. M. Ong, C. Wright, L. Espinosa, and G. Orfield, “Inside the double bind: A synthesis of empirical research on undergraduate and graduate

Conference Session

Enhancing the Statics Classroom

Collection

2018 ASEE Annual Conference & Exposition

Authors

Ruth E. H. Wertz, Valparaiso University

Tagged Divisions

Mechanics

regular use of taxonomic language throughout thefull duration of the statics course will help with long-term retention of conceptual understandingto support procedural approaches to problems.The objective of the current work-in-progress is to present the early stages of development of theTOPS to a community of educators and researchers that can provide valuable feedback prior tothe tool being applied in the first phase of the aforementioned research design.References[1] R. Streveler, T. Litzinger, R. L. Miller, and P. S. Steif, “Learning conceptual knowledge in the engineering sciences: Overview and future research directions,” J. Eng. Educ., vol. 97, no. 3, pp. 279–294, 2008.[2] M. T. H. Chi, “Three types of conceptual change

Conference Session

Works in Progress I

Collection

2018 ASEE Annual Conference & Exposition

Authors

Chris Venters, East Carolina University; Katie Brown

Tagged Divisions

Educational Research and Methods

relate to forces and creating free-body diagrams [6]. Moments (of a force)have also been identified as a particular area of confusion for students both because ofconflicting terminologies [3] and their role as “intermediate quantifier[s] of the rotational effectof interactions [between bodies]” [7]. That is, while the net force is the quantity proportional to amass’s translational acceleration, the moment is proportional to the mass’s angular acceleration.That moments build on the already difficult concept of force likely only complicates learning.This work in progress paper describes an early pilot of a study to investigate the process ofconceptual change related to moments in an engineering statics course. Preliminary results fromthe pilot

Conference Session

Division for Experimentation & Lab-oriented Studies Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Nebojsa I. Jaksic, Colorado State University, Pueblo; Bahaa I. Kazem Ansaf, Colorado State University, Pueblo

Tagged Divisions

Experimentation and Laboratory-Oriented Studies

literature. In this work, students learn AM processes by comparinginexpensive 3D printers, three DLP (FlashForge Hunter, MoonRay S, and Phoenix Touch ProTranslating) and one FFF (MakerBot Replicator 2) 3D printer. These students’ explorations of new3D printing technologies exemplify “expansion,” the fifth stage of the students’ 3D printingexpertise evolution [33].Curricular ContextEven though 3D printers are used in many courses, the 3D printing lab/lecture modules areformally introduced in detail in a required one-semester, three credit-hours senior-level Computer-Integrated Manufacturing (CIM) course in two engineering programs: Bachelor of Science inEngineering with specialization in Mechatronics (BSE-Mechatronics) and Industrial Engineering(IE

Conference Session

DEED Postcard Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Corey T Schimpf, The Concord Consoritum; Rob Sleezer, Minnesota State University, Mankato; Charles Xie

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

logswas examined in terms of individual and collective contributions resulting in visualizations ofthe teams’ design processes across several metrics including: construction, optimization, andnumerical analysis.Preliminary results for this work-in-progress indicate that students mostly designed sequentiallyacross solarizable sites, with little concurrent activity. Optimization patterns vary between teamsand show some relation to teams’ final design(s) performance.IntroductionReal world engineering is typically a complex process requiring a high degree of collaboration.To prepare students for such an environment many faculty members embed team based designwork in their courses. In fact, engineering design and teamwork are both required components

Conference Session

Technical Session IV

Collection

2018 FYEE Conference

Authors

Christopher McComb, Pennsylvania State University, University Park; Catherine G.P. Berdanier, Pennsylvania State University, University Park; Jessica Dolores Menold, Pennsylvania State University, University Park

Tagged Topics

Diversity, FYEE Conference Sessions

engineering.References[1] R. S. Adams, J. Turns, and C. J. Atman, “Educating effective engineering designers: The role of reflective practice,” in Design Studies, 2003, vol. 24, no. 3, pp. 275–294.[2] G. Lemons, A. Carberry, C. Swan, L. Jarvin, and C. Rogers, “The benefits of model building in teaching engineering design,” Des. Stud., vol. 31, no. 3, pp. 288–309, 2010.[3] D. Tolbert and S. R. Daly, “First-year engineering student perceptions of creative opportunities in design,” Int. J. Eng. Educ., vol. 29, no. 4, pp. 879–890, 2013.[4] S. R. Daly, E. A. Mosyjowski, and C. M. Seifert, “Teaching Creativity in Engineering Courses,” J. Eng. Educ., vol. 103, no. 3, pp. 417–449, Jul. 2014.[5] L. A. Liikkanen and M. Perttula, “Exploring problem

Conference Session

Maker Communities and Authentic Problem Solving

Collection

2018 ASEE Annual Conference & Exposition

Authors

Robert Matthew DeMonbrun, University of Michigan; Cynthia J. Finelli, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

consider the engineering course they took in theprevious semester that was the most relevant to their current course and to indicate their priorexperience with four of the most commonly used types of instruction in engineering course.These types of instruction include: “listen to the instructor lecture during class,” “answerquestions posed by instructor during class,” “brainstorm different possible solutions to a givenproblem,” and “discuss concepts with classmates during class.” If a student had been exposed tothis type of instruction in the prior course, s/he was also asked how s/he typically responded to itusing four classroom engagement constructs of value, positivity, participation, and distraction(Table 1; DeMonbrun et al., 2017; Fredricks