Conference Session

Contextual Competencies

Collection

2012 ASEE Annual Conference & Exposition

Authors

David B. Knight, Pennsylvania State University, University Park

Tagged Divisions

Educational Research and Methods

because of increased use of surveys in general through web-based forms39-41. Steps were taken to account for differences between the sample of responses and the overall population. This adjustment weighted cases based on the population and response distributions by gender, discipline, and race/ethnicity within an institution as well as varying response rates of a campus so that the sample reflected the overall population of undergraduate engineers from the sample of institutions. In addition, missing data were imputed based on procedures recommended by Dempster, Laird and Rubin42 and Graham43 using the Expectation-Maximization (EM) algorithm of the Statistical Package for the Social Sciences (SPSS) software (v.18). To reduce data from survey

Conference Session

Research Informing Teaching Practice II

Collection

2012 ASEE Annual Conference & Exposition

Authors

Flora P. McMartin, Broad-based Knowledge, LLC; Joseph G. Tront, Virginia Tech; Sarah Giersch, Broad-based Knowledge, LLC

Tagged Divisions

Educational Research and Methods

positions. Otherinterviewees are at an early- to mid-career stage because at the time of the award, they weregraduate students members of the development teams. Even as graduate students, they often ledthe development and research associated with the courseware.One emerging pattern reflects how the award has been used to shape an awardees' career. A Page 25.698.7number of interviewees suggested that for them, the award represented “outside” confirmation oftheir teaching ability. The award also gave them what we have come to call: ‘street cred’,meaning that their work had been deemed credible by experts in their field

Conference Session

Educational Research and Methods Poster Session

Collection

2012 ASEE Annual Conference & Exposition

Authors

So Yoon Yoon, Purdue University, West Lafayette; Miles Griffin Evans; Johannes Strobel, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

(STEBI) wasdesigned to measure two constructs, outcome expectancy and self-efficacy. The two constructswere based on Bandura’s theoretical framework that behaviors are effected by both personalexpectancy about the outcome and personal belief about teaching. The specific content area ofteaching, which is science, was to reflect the fact that teacher self-efficacy can vary dependingon the content area. For example, while some teachers have high self-efficacy in teachinglanguage arts, they may not have the same level of self-efficacy in teaching science.Since the first development of the STEBI, with its increasing use in science education, severalvariants of the STEBI were also developed and tested in the specific content areas, targetingdifferent

Conference Session

Research on Engineering Design Education

Collection

2012 ASEE Annual Conference & Exposition

Authors

Nicholas D. Fila, Purdue University; Senay Purzer, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

ideas during the idea generation process; thus all ideas listed may not be ones studentswould have selected as reasonable solutions given time to reflect. Further, without theaccompanying descriptions, we were unable to guarantee reliable assessment of each design’sinnovative qualities.There were a total of 72 solutions (we discarded one solution due to lack of clarity), each ofwhich was scored on a 1-5 integer scale (5 the highest possible score) for each of the fivecharacteristics of innovative ideas: feasibility, viability, usefulness, desirability, and novelty.While metrics exist for feasibility2, usefulness6,9, and novelty2,6,9, we selected a holistic,categorical method. This approach offered greater flexibility (i.e. we were able to match

Conference Session

Model Eliciting Activities

Collection

2012 ASEE Annual Conference & Exposition

Authors

Nora Siewiorek, University of Pittsburgh; Larry J. Shuman, University of Pittsburgh; Mary E. Besterfield-Sacre, University of Pittsburgh; Natasa S. Vidic, University of Pittsburgh; Karen M. Bursic, University of Pittsburgh; Scott Streiner, University of Pittsburgh; Jeffrey Coull

Tagged Divisions

Educational Research and Methods

(including assumptions, decisions made about the problem andsolution strategies).Because MEAs can address a combination of technical and professional skills, it is morechallenging to assess the resultant student learning. For full impact, instructors must guide thestudents’ learning and provide targeted feedback; especially if it appears that misconceptionsexist, often best observed through students’ self-reflection reporting. We have reportedelsewhere the impact of MEAs on conceptual learning and the instructors’ perspectives aboutusing MEAs in the classroom11, and the improvement of student attainment of ABET outcomes,especially the professional skills, in using MEAs12, 13

Conference Session

Epistemic Research

Collection

2012 ASEE Annual Conference & Exposition

Authors

Erick Jacob Nefcy, Oregon State University; Edith Stanley Gummer, Education Northwest; Milo Koretsky, Oregon State University

Tagged Divisions

Educational Research and Methods

Conference Session

Thinking About the Engineering Curriculum

Collection

2012 ASEE Annual Conference & Exposition

Authors

Judith A. Sunderman, University of Illinois, Urbana-Champaign; Raymond L. Price, University of Illinois, Urbana-Champaign

Tagged Divisions

Educational Research and Methods

engineering. Two interview protocols reflected the nature and level of participation in the incubator,but it became apparent almost immediately that knowledge of the incubator was bounded by theduration of association, specific circumstances, and intensity of participation.36 For this reasoninterviews varied widely lasting as few as 44 minutes to 1 hour and 15 minutes. All of theinterviews were audio recorded and transcribed. Identifying information was removed; thetranscription was dated, and a code assigned. The transcription code identified the tier and aninterview sequence number. An excel file served as the interview code key. The code keyremained the only identifying link between interviewee and interview data. Interviews were

Conference Session

Understanding Our Students II

Collection

2012 ASEE Annual Conference & Exposition

Authors

Shannon Ciston, University of California, Berkeley; Maria-Isabel Carnasciali, University of New Haven; Viktoria Zelenak, University of New Haven; Michael J. Hollis, U.S. Air Force Academy

Tagged Divisions

Educational Research and Methods

value and they can do the calculations and they don’t think too much about it. ...my life experience comes in handy and sometimes the professor will talk about an abstract topic and I’ll see all the kids glaze over because they Page 25.136.12 don’t understand what he’s talking about, but I’ll have a life experience that actually does.” Leadership skillsHalf of the informants reflected that they have been able to apply management and leadershipskills to working with groups of other engineering students, by helping team members tocommunicate with one another, manage conflict, stay focused, and distribute tasks

Conference Session

Before and After: Matriculants and Alumni

Collection

2012 ASEE Annual Conference & Exposition

Authors

Helen L. Chen, Stanford University; Michelle Marie Grau, Stanford University; Samantha Ruth Brunhaver, Stanford University; Shannon Katherine Gilmartin, SKG Analysis; Sheri Sheppard, Stanford University; Michelle Warner, Stanford University

Tagged Divisions

Educational Research and Methods

of the authors and do not necessarily reflect the views of NSF.ReferencesBorden, V.M.H. (2005). Using alumni research to align program improvement with institutional accountability. NewDirections for Institutional Research, 126, 61-72.Buyer, L.S. & Miller, K.J. (n.d.) Increasing survey response rates: Combining experimental manipulations.Retrieved March 19, 2012, fromhttps://docs.google.com/viewer?a=v&q=cache:EgrP6237otUJ:www.govst.edu/uploadedFiles/Institutional_Research/Survey%2520Response%2520Rates%25206.pdf+&hl=en&gl=us&pid=bl&srcid=ADGEESgXCHcRZHMa2HgJL6Im4E4LIArBAi6_qgOazdxPKNSRkSc0ANQFmVvWUbVFSAAwFZBPaQnH1qgipIPpGy2w4_Z_4JAZgdqnomSleN6jr2-nIEnVzValyb_mo9T2MhB-jnTj1TfW&sig=AHIEtbRh-5HOn7ezW8KpHVe6bnlTIVnD9A

Conference Session

Research Informing Teaching Practice I

Collection

2012 ASEE Annual Conference & Exposition

Authors

Sarah Jane Grigg, Clemson University; Lisa Benson, Clemson University

Tagged Divisions

Educational Research and Methods

students Page 25.508.3completed the written portion of the problem in class, they completed a subsequent activityinvolving verbal think-aloud reflection on their in-class work before submitting their assignment.As a result, the sample is not inclusive of all students in the class, as some students did notsubmit their assignment and some students did not turn in self-report surveys of mental workloadbut did turn in solutions. Students worked out problems just as they would using traditional penand paper so as not to artificially influence mental workload; however, they were encouraged touse planning techniques including restating the problem

Conference Session

Research in Engineering Education I

Collection

2012 ASEE Annual Conference & Exposition

Authors

Hanjun Xian, Purdue University, West Lafayette; Krishna Madhavan, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

. Borrego M, Newswander LK. Characteristics of successful cross-disciplinary engineering education collaborations. Journal of Engineering Education. 2008;97(2):123.6. Olds BM, Moskal BM, Miller RL. Assessment in engineering education: Evolution, approaches and future collaborations. Journal of Engineering Education. 2005;94:13–25.7. Borrego M. Development of engineering education as a rigorous discipline: A study of the publication patterns of four coalitions. Journal of Engineering Education. 2007;96(1):5.8. McKenna AF, Yalvac B, Light GJ. The role of collaborative reflection on shaping engineering faculty teaching approaches. Journal of Engineering Education. 2009;98(1):17– 26.9. Birnholtz JP. When do researchers collaborate? Toward a

Conference Session

Research Informing Teaching Practice II

Collection

2012 ASEE Annual Conference & Exposition

Authors

Renata A. Revelo Alonso, University of Illinois, Urbana-Champaign; Michael C. Loui, University of Illinois, Urbana-Champaign

Tagged Divisions

Educational Research and Methods

Page 25.1320.8engineering design tradeoffs. Faculty can aid students in making a habit of refocusing back to“big ideas” throughout the course by intentionally making connections between smaller andbigger ideas. For instance, in the design of a project, the assignment might ask students to run acost-benefit or design tradeoff analysis as part of a report. Additionally, students can find reallife engineering projects in newspapers or online articles and reflect on how the skills they arelearning in the classroom present themselves outside of the academic realm6.LimitationsOne of the limitations in this study is in the nature of the course. Although ECE 101 follows apre-defined syllabus and has had similar course objectives over the years, like

Conference Session

Before and After: Matriculants and Alumni

Collection

2012 ASEE Annual Conference & Exposition

Authors

Marisa K. Orr, Purdue University; Nichole M. Ramirez, Purdue University; Matthew W. Ohland, Purdue University, West Lafayette; Valerie Lundy-Wagner, New York University

Tagged Divisions

Educational Research and Methods

affords models of postsecondary outcomes.Even when PES is included, the model still captures less than 3% of the variance present in thedata. Thus, it is critical to recognize that the value of the model is in understanding the effects ofthe model’s variables on the behavior of groups of students. It would be unwise to use this modelto predict the likelihood that a particular student will graduate in engineering. One promisingaspect of this research is that PES reflects the cultural and economic resources of public schools; Page 25.1427.8unlike race or gender, school environments can be changed. Future research along these lines canhelp

Conference Session

Research in Assessment

Collection

2012 ASEE Annual Conference & Exposition

Authors

Peter M. Ostafichuk, University of British Columbia; Jim Sibley, University of British Columbia, Vancouver; H.F. Machiel Van der Loos, University of British Columbia

Tagged Divisions

Educational Research and Methods

25.1031.2the additional time they can contribute to the assessment may be able to produce an equallyreliable and valid assessment; that is, the greater volume, frequency, and immediacy of feedbackmight compensate for any quality disadvantage.Peer-to-peer assessment has the students themselves evaluate the quality, value, or success of thework of other students. With students conducting the peer-to-peer assessments, the approach ishighly scalable to almost any class size. Moreover, the act of assessing other’s work requiresstudents to apply higher-level thinking skills, such as evaluation, judgment, and critical thinking,as well as a reflection on the student’s own work. Or, as noted by Topping, formative peerassessment is likely to involve intelligent

Conference Session

Research in Engineering Education I

Collection

2012 ASEE Annual Conference & Exposition

Authors

Rebecca Brent, Education Designs, Inc.

Tagged Divisions

Educational Research and Methods

. AcknowledgementsThis work was supported by National Science Foundation grants DUE-0837612 and ADVANCEPAID (Partnerships in Adaptation, Implementation, and Dissemination) 0820013. This support isgratefully acknowledged. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author and do not necessarily reflect the views of theNational Science Foundation. Bibliography1. Patton, M. Q. (2000). Utilization-focused evaluation. In D. L. Stufflebeam, G. F. Madaus and T. Kellaghan (eds.) Evaluation Models. Boston: Kluwer Academic Publishers.2. Taylor-Powell, E., Jones, L., & Henert, E. (2002) Enhancing Program Performance with Logic Models. Retrieved 1/2

Conference Session

Research Informing Teaching Practice I

Collection

2012 ASEE Annual Conference & Exposition

Authors

Shanna R. Daly, University of Michigan; Cynthia Finelli, University of Michigan; Ameen Basim Al-Khafaji, College of Engineering at the University of Michigan; Martha Jane Neubauer, College of Engineering at the University of Michigan

Tagged Divisions

Educational Research and Methods

the National Science Foundation under GrantNumber 0941924. Any opinions, findings, and conclusions or recommendations expressed in this Page 25.1190.14material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.  References1 National Academy of Engineering. (2004). The engineer of 2020: Visions of engineering in the new century.Washington, DC: National Academy of Engineering.2 National Academy of Sciences, National Academy of Engineering, and Institute of Medicine. (2007).Rising above the gathering storm: Energizing and employing America for a brighter economic future.Washington, D.C

Conference Session

Problem-based and Challenge-based Learning

Collection

2012 ASEE Annual Conference & Exposition

Authors

Leema Kuhn Berland, University of Texas, Austin; William F. McKenna, University of Texas, Austin

Tagged Divisions

Educational Research and Methods

than the relevant math and science.Instead, they discussed things like their intuition, wanting to reflect the real world, and logic. Infact, students both discussed the relevance of particular math and science concepts and identifiednon-science/math criteria in their decision making process in 12 of the 19 interviews, suggestinga tension or ambivalence regarding the role of this content, on the part of the students. Page 25.1191.5

Conference Session

Research on Engineering Design Education

Collection

2012 ASEE Annual Conference & Exposition

Authors

Christopher B. Williams, Virginia Tech; Marie C. Paretti, Virginia Tech; Yoon Suk Lee, Virginia Tech; John S Gero, George Mason University

Tagged Divisions

Educational Research and Methods

Conference Session

Contextual Competencies

Collection

2012 ASEE Annual Conference & Exposition

Authors

Joshua David Schwartz, Trinity University; Ashley Ater Kranov, ABET

Tagged Divisions

Educational Research and Methods

to transfer the approach presented in this study to other practitioners, there are a fewconsiderations to be taken. It is certainly plausible, for example, for departments or institutions toshare these modules. It is even conceivable that a centralized bank of accessible case-studymodules could be established and made available for use, so long as they are updated at regular(2-4 year) intervals to reflect contemporary events. On the whole, the selection of a case studytopic that is timely and interesting to both the instructor and the students is fundamental todelivering this module effectively. An instructor looking for inspiration to author such a modulecan draw topics from emerging technologies, public engineering successes/failures, or

Conference Session

Research in Assessment

Collection

2012 ASEE Annual Conference & Exposition

Authors

Baba Abdul, Washington State University; David B. Thiessen, Washington State University; Bernard J. Van Wie, Washington State University; Gary Robert Brown, Portland State University; Olusola O. Adesope, Washington State University, Pullman

Tagged Divisions

Educational Research and Methods

28 95.82 4.56Boiling 2.80 0.49 3.23 0.84 2.57 0.85 15 95.70 10.0From table 2 the scores for the worksheets are observed to be consistently lower than those forthe textbook problems. This is attributable to the fact that the worksheets are more complex thanthe typical text book problem. The worksheets were crafted by the professor to reflect howcognition is developed in the domain, whereas most text book problems have similar solvedproblems within the text (indeed some of them are partially or completely solved in thecompanion solutions manual). Thus text book problems may not be as challenging as theworksheets. See appendix B for a typical worksheet and text book problem.A further look

Conference Session

ERM Potpourri

Collection

2012 ASEE Annual Conference & Exposition

Authors

Megan F. Campanile, Illinois Institute of Technology; Eric M. Brey, Illinois Institute of Technology; Allison Antink Meyer, Illinois Institute of Technology; Norman G. Lederman, Illinois Institute of Technology

Tagged Divisions

Educational Research and Methods

, Chemical Engineering, Biology, Chemistry, and the School of Medicine. Diabetesis a complex pathologic condition and addressing the disease requires a diverse set of approachesfrom fundamental understanding of disease pathology, disease management and treatment eitherof the disease directly or one of its many complications. The students joined projects related to Page 25.1308.4diabetes that were developed from ongoing work in the faculty laboratories. Research projects in 3this REU program reflect this diversity, with projects offered in metabolic

Conference Session

Understanding Our Students I

Collection

2012 ASEE Annual Conference & Exposition

Authors

Joanna F. DeFranco, Pennsylvania State University, Great Valley; Kathryn W. Jablokow, Penn State University; Sven G. Bilen, Pennsylvania State University, University Park; Andras Gordon, Pennsylvania State University, University Park

Tagged Divisions

Educational Research and Methods

/PNY) Page 25.1310.11 Figure 7. Map density regression analysisFrom an A–I perspective, these results make sense. As previously explained, a more innovativeperson tends to offer more ideas when compared to a more adaptive counterpart (assuming levelis equal—no matter how high or low); the more innovative ideas may not all be relevant, but theinnovative tendency is to proliferate, leading to an increasing trend in total concepts as KAIscore increases. Our expectations of the impact of style diversity appear to be reflected in themap density trend as well (recall Eqn. 1). As the number of concepts increases

Conference Session

Research Informing Teaching Practice I

Collection

2012 ASEE Annual Conference & Exposition

Authors

Jennifer Cole, Northwestern University; Robert A. Linsenmeier, Northwestern University; Timothy Miller, Binghamton University ; Matthew R. Glucksberg, Northwestern University

Tagged Divisions

Educational Research and Methods

starting placefor the next stage of the activity and get them to reflect on how their work differed from what anexperienced modeler might have done. The results of student performance on the in-classactivities can be found in our earlier works [1,2].The intent of the current portion of the study was to evaluate student performance atincorporating mathematical modeling on their team projects. A rubric was developed to assessstudent performance on the steps proposed by Gainsburg. The rubric consisted of a set ofquestions and decision trees that matched up to the modeling steps. This had to be flexibleenough to apply to different projects, so it was different than the rubric that we had used toanalyze student performance during the scenario study. It

Conference Session

Thinking About the Engineering Curriculum

Collection

2012 ASEE Annual Conference & Exposition

Authors

Olga Pierrakos, James Madison University; Anna Zilberberg; Christopher W. Swan, Tufts University; Angela R. Bielefeldt, University of Colorado, Boulder; Kurt Paterson P.E., Michigan Technological University; John J. Duffy, University of Massachusetts, Lowell; Sean Mcvay, James Madison Univeristy

Tagged Divisions

Educational Research and Methods

reviews, (e)piloting the items to a small sample to ensure clarity, and (f) scrutinizing the self-report nature ofthe instrument. More specifically, pilotingthe survey with a group of LTS experts (N=5) and alsowitha group of LTS non-experts (N=5) enabled us to gain insight into the degree to whichresponses on the instrument reflected the faculty‟s actual knowledge of the construct of interestand to examine how the instrument functions across different population groups.Shortly prior to a two-day EFELTS LTS Experts Summit in September 2011, participantscompleted the LTS Faculty Survey online administered on the Qualtrics platform. Demographicinformation on the participants was collected, as well information regarding their positions attheir

Conference Session

Research in Engineering Education II

Collection

2012 ASEE Annual Conference & Exposition

Authors

Dana Denick, Purdue University, West Lafayette; Aidsa I. Santiago-Román, University of Puerto Rico, Mayaguez Campus; Ruth A. Streveler, Purdue University, West Lafayette; Natalie Barrett, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

, (c) StaticEquivalence, (d) Roller joint, (e) Pin-in-slot joint, (f) Loads at surfaces with negligible friction,(g) Representing loads at connections, (h) Limits on friction force, and (i) Equilibrium. Also,each problem had been carefully designed to identify conceptual errors or misconceptions,without the need for mathematical computation.6 Additionally, the developer of CATS, Dr.Steif, has identified a set of distinct errors that reflect known misconceptions exhibited bystudents based on his experience and occurrence in student documentation.9 Table 3 presents alist of these errors and their descriptions. Page 25.1457.4Table 3