Conference Session

Innovative Use of Technology and the Internet in Engineering Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Paul S. Steif, Carnegie Mellon University; Luoting Fu; Levent Burak Kara, Carnegie Mellon University

Tagged Divisions

Educational Research and Methods

feedback onseparate subtasks, then we might indeed observe improvement in their ability to execute thedifferent subtasks.Thus, our goal is to sensibly designate the different subtasks or distinct skills that must bemastered to ultimately solve such problems. Of course, we also want the clarity of being able tocharacterize each attempt to use a skill as unambiguously correct or correct. We hope thefrequency at which those attempts are correct increases with practice. How then should wedivide up the overall task? Critical to that division is its granularity – how small are the actionsthat are deemed to reflect individual skills and how many different skills are recognized amongthe different actions of the same general type.To illustrate issues of

Conference Session

Methodological & Theoretical Contributions to Engineering Education 3

Collection

2014 ASEE Annual Conference & Exposition

Authors

Rachel Louis Kajfez, Ohio State University; Elizabeth G. Creamer, Virginia Polytechnic Institute and State University

Tagged Divisions

Educational Research and Methods

the language used in each article to explain therationale for using mixed methods are included in the table, along with the category name. Only2 of the 16 articles contained no statement that could be identified to reflect a rationale foremploying mixed methods. Page 24.68.8 Table 1: Articles Using Qualitative and Quantitative Methods and Mixing PaperJournal Paper Title Year Why Collect Qual and Quant Data? Category

Conference Session

Student Learning, Problem Solving, and Critical Thinking 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Natasa S. Vidic, University of Pittsburgh; Nur Ozge Ozaltin; Mary E. Besterfield-Sacre, University of Pittsburgh; Larry J. Shuman, University of Pittsburgh

Tagged Divisions

Educational Research and Methods

Page 24.911.1 using pre- and post- concept inventories to assess improvement, an online reflection tool to assess pro- cess, and a grading rubric to assess the solution (general model and specific solution). We are identifying numerous problem solving processes used by the student teams, as well as the range of problems that c American Society for Engineering Education, 2014 Paper ID #10443 can be addressed, to determine how effective the various processes are relative to improved conceptual understanding. Collaborators Mary Besterfield-Sacre, University of Pittsburgh, Larry Shuman, University

Conference Session

Pedagogy and Learning 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Nancy K. Lape, Harvey Mudd College; Rachel Levy, Harvey Mudd College; Darryl H. Yong, Harvey Mudd College; Karl A. Haushalter, Harvey Mudd College; Rebecca Eddy, Cobblestone Applied Research & Evaluation, Inc.; Nancy Hankel, Cobblestone Applied Research & Evaluation, Inc.

Tagged Divisions

Educational Research and Methods

faculty Page 24.1006.2members, who taught in both conditions, also completed reflection papers related to theirexperiences. The following describes guiding research questions for the study.Research questions: 1. Do students in inverted classrooms spend additional time actively working with instructors on meaningful tasks in comparison to those students in control classrooms? 2. Do students in inverted classrooms show higher learning gains as compared to students in traditional classrooms? 3. Do students in inverted classrooms demonstrate an increased ability to apply material in new situations as compared to students in

Conference Session

Methodological & Theoretical Contributions to Engineering Education 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Scottie-Beth Fleming, Georgia Institute of Technology

Tagged Divisions

Educational Research and Methods

coauthoredwith individuals located at the same universityversus those publications featuring authorsfrom multiple universities (F(2, 91) = 9.715,p<0.001). Further, a Tukey MultipleComparisons test shows that a difference inmeans exists between authors with anengineering education department and thosewho do not have an engineering educationdepartment (Figure 2). Authors affiliated with Figure 2. E-I Index by Availability ofan engineering education department have a EER Resourcessignificantly lower E-I Index, however thepositive index value reflects that most authors Page 24.279.7tend to collaborate outside their collocated

Conference Session

Methodological & Theoretical Contributions to Engineering Education 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Yakut Gazi, Texas A&M University

Tagged Divisions

Educational Research and Methods

emergence of new global cultural forms, media, and technologies ofcommunication, the relations of affiliation, identity, and interaction within and acrosslocal cultural settings have been reshaped, which is termed globalization (Burbules &Torres, 2000)[6]. Although globalization in education is highly recognized and upheld byscholars and educators, the target needs of students in global education courses are stillseen as content and language focused. The experiences, beliefs, and cultural expectationsof students from a variety of backgrounds are not yet reflected in the pedagogy andevaluation practices (Pincas, 2001)[27]. One of the outcomes of increasing access toeducation at a distance through global online courses, as Moore (2006)[23] points

Conference Session

Methodological & Theoretical Contributions to Engineering Education 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Kenneth Stafford Sands II, Virginia Tech; Denise Rutledge Simmons, Virginia Tech

Tagged Divisions

Educational Research and Methods

. Page 24.1355.3The original eight-vignette test was developed from ethical concepts that were found to be majorissues of the construction industry. The test embedded 14 issues of the construction industry intothe eight vignettes (i.e. 14 pilot test items). The 14 issues were: claims games, collusion, bidshopping, bid peddling, theft, abuse of client resources, unfair labor allocation through overtime,labor issues, frontloading, payment games, low competence of work performance, improperclient relations, use of joint ventures to increase satisfaction of prequalification requirements, andbid rigging.Response generation of the TESC requires students to read and reflect on the vignette andprovide 3 statements or questions regarding each vignette

Conference Session

Pedagogy and Learning 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Waddah Akili, Iowa State University

Tagged Divisions

Educational Research and Methods

research show a higher quality of learning (though not a greater amount if "amount"equates with the number of facts), but problem-based learning simply feels right intuitively. Itseems to reflect the way the mind actually works. (15) Unfortunately, while there is agreement onthe general definition of PBL, implementation has varied widely. (3) The large variation in PBLpractices makes the analysis of its effectiveness a bit complex. Many studies comparing PBL totraditional programs are simply not talking about the same thing. As reported by Prince (3), “ Formeta-studies of PBL, to show any significant effect compared to traditional programs, the signalfrom the common elements of PBL would have to be greater than the noise produced bydifferences in

Conference Session

Trends in Engineering Education 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Maura J. Borrego, Virginia Tech; Michael J. Prince, Bucknell University; Christopher Evan Nellis, Virginia Tech; Prateek Shekhar, Virginia Tech; Cindy Waters, North Carolina A&T State University; Cynthia J. Finelli, University of Michigan

Tagged Divisions

Educational Research and Methods

challenges of the new approach27  Use nontraditional teaching methods in as described in research35  Provide students with feedback, support, & scaffolding27,59  Explain effect on grade 60 and align activities with assessments27,59,60  Solicit student feedback27  Ramp up slowly, e.g. use brief activities at first33  Assign/design appropriately challenging activities32,34,58,60  Respect student learning styles and study habits59 These suggestions tend to be drawn from personal experience, rather than from strongempirical and theoretical bases. This reflects that although connections between expectancyviolations and student resistance to nontraditional teaching have been asserted, the link betweenthese two constructs has not been

Conference Session

Student Learning, Problem Solving, and Critical Thinking 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

K. Jo Min, Iowa State University; John Jackman, Iowa State University; Jason C.K. Chan

Tagged Divisions

Educational Research and Methods

quantity, on the other hand, isconceptually closer to Net Inventory Position. Net Inventory Position exactly reflects thelevel of On-Hand Inventory when there is no backorder (i.e., in this case, it does have anexact physical representation as it represents what is physically available on the storage shelf).Figure 1 may help students understand that order quantity can be smaller than the reorderpoint and that can be optimal for the inventory system in the test.In the second problem (No. 2a, 2b, and 2c) both Group A and Group B students were asked to Page 24.1363.6compute the amounts of expected surplus and shortage for a day and the

Conference Session

Trends in Engineering Education 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Flora P. McMartin, Broad-based Knowledge, LLC; Sarah Holsted, Broad-based Knowledge; Joshua Morrill, Morrill Solutions Research (MSR); Joseph G. Tront, Virginia Tech

Tagged Divisions

Educational Research and Methods

, etc.)Financial support 11 18Special campus level teaching and technology award 7 0Invited to lead seminar or workshop 4 2Award from Teaching & Learning Academy or 4 4CenterSee questions about Use of Courseware NA 9 Page 24.312.6  The survey separated the use of courseware in teaching and learning from its creation. Thischoice reflected the

Conference Session

Student Beliefs, Motivation and Self Efficacy

Collection

2014 ASEE Annual Conference & Exposition

Authors

Micah Stickel, University of Toronto; Siddarth Hari, University of Toronto; Qin Liu, University of Toronto

Tagged Divisions

Educational Research and Methods

study.Table 3. Descriptive Statistics of Indicators for Cohort Comparisons Traditional Cohort Inverted Cohort % or % or n Mean (SD) n Mean (SD) Learning Style - Active/Reflective: Reflective 266 53% 285 58% Learning Style - Sensing/Intuitive: Sensing 266 61% 285 63% Learning Style - Visual/Verbal: Visual 266 79% 285 81% Learning Style - Sequential/Global: Sequential 266 60% 285 62% Prior academic

Conference Session

Student Learning, Problem Solving, & Critical Thinking 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Ben D Radhakrishnan, National University

Tagged Divisions

Educational Research and Methods

text books these days come up with new editions more often than before, this SCLactivity keeps the students informed about the latest happenings in the subject they are learning.Students’ feedback comments reflect that they are anxious to hear about the latest developments asthey come to each class – they have a different expectation at the beginning of each class.Learner-Centric SCLThe main learning base here is focused on learners becoming ‘creators’ with their own ideaswhich advances creativity/innovation and uses any and all prior knowledge the learners mightbring to the table. This is a team activity and involves the student-teams designing, creating

Conference Session

Student Learning, Problem Solving, & Critical Thinking 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Sean Moseley, Rose-Hulman Institute of Technology; Rachel McCord, Virginia Tech

Tagged Divisions

Educational Research and Methods

theywill encounter when they enter industry or pursue further academic study. This work focuses onthe development of an intervention meant to provide students with access to the honest problemsolving processes of experts when solving statics problems. Using cognitive apprenticeship as atheoretical framework, we seek to look at the impact that exposure to honest problem solvingstrategies has on novice problem solving skills.Literature Review and Theoretical FrameworkProblem Solving in StaticsThe ability to problem solve is a critical skill that is required of undergraduate engineeringstudents in the United States. The need for this skill is reflected in ABET Criterion 3. (e) thatstates that students must be able to “identify, formulate, and solve

Conference Session

Methodological & Theoretical Contributions to Engineering Education 3

Collection

2014 ASEE Annual Conference & Exposition

Authors

Floraliza Bornilla Bornasal, Oregon State University; Jessica Nina Lester, Indiana University; Shane A. Brown P.E., Oregon State University

Tagged Divisions

Educational Research and Methods

, other-initiated expansion only repairs, topicalization,  - Both second speakers’ challenges, and re- pair part and post- workings. expansionTable 2: Post-expansions Displayed in TalkHowever, the function of experience in talk displaying post-expansions differed betweenconversations reflecting preferred and dispreferred responses. For example, in talk displayingnon-minimal post expansions with dispreferred responses, talk of experience functioned as ameans of delaying providing a direct answer to the interviewer’s main question. In talkdisplaying non-minimal post expansions with preferred responses, the function of the

Conference Session

Choice and Persistence in Engineering Education and Careers

Collection

2014 ASEE Annual Conference & Exposition

Authors

Gillian M. Nicholls, University of Alabama, Huntsville; Rhonda Kay Gaede, University of Alabama, Huntsville

Tagged Divisions

Educational Research and Methods

not affect GPA calculations.Each individual engineering student represented in the dataset was categorized either as atransfer student or as a “native” student that first enrolled as a freshman at UAH. Transferstudent status is complicated by students that may have dual enrollment in two institutions ortake classes during the summer breaks. For this study, transfer student status is defined ashaving more than 12 credit hours of transfer credit. The total time to graduation for transferstudents including their prior studies was not consistently available for each student. For thisreason, the time to graduation for transfer students only reflects their time from matriculation tograduation at UAH.3.3 Research HypothesisThe research hypothesis

Conference Session

Choice and Persistence in Engineering Education and Careers

Collection

2014 ASEE Annual Conference & Exposition

Authors

Alana Unfried, North Carolina State University; Malinda Faber, North Carolina State University; Eric N. Wiebe, North Carolina State University

Tagged Divisions

Educational Research and Methods

this labor supply gap can use information aboutthe varying STEM career interests of different types of students, such as students fromhistorically underrepresented groups, to most effectively achieve their goals.AcknowledgementsPortions of this material are based upon work supported by the National Science Foundation underGrant No. (DUE-1038154) – any opinions, findings, and conclusions or recommendations expressedin this material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. Portions of the work were also supported by The Golden LEAF Foundation. Page 24.1114.13References1. National

Conference Session

Student Learning, Problem Solving, and Critical Thinking 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Claudia Elena Vergara, Michigan State University; Mark Urban-Lurain, Michigan State University; Jon Sticklen, Michigan State University; Abdol-Hossein Esfahanian, Michigan State University; Hannah McQuade, The Center for Engineering Education Research; Andrew League, Michigan State University; Chris John Bush, The Center for Engineering Education Research; Michael Cavanaugh, Michigan State University, Center for Engineering Education Research

Tagged Divisions

Educational Research and Methods

National Science Foundation (NSF)under awards 722221 and 0939065. Any opinions, findings and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe NSF.References[1] Bernold, L. E., Spurlin, J. E., & Anson, C. M. (2007). Understanding our students: A longitudinal study ofsuccess and failure in engineering with implications for increased retention. Journal of Engineering Education, 96(3), 263-274.[2] Denning, P. J. (1992). Educating a new engineer. Communications of the ACM, 35 (12), 82-97.[3] Froyd, J. E., & Ohland, M. W. (2005). Integrated engineering curricula. Journal of Engineering Education, 94(1), 147-164.[4] National Research Council (Ed.). (2002

Conference Session

Student Learning, Problem Solving, & Critical Thinking 3

Collection

2014 ASEE Annual Conference & Exposition

Authors

Patricia Kristine Sheridan, University of Toronto; Doug Reeve P.Eng., University of Toronto; Greg Evans, University of Toronto

Tagged Divisions

Educational Research and Methods

a Team-effectiveness Inventory18. This inventorypresents 27 competencies that comprise three aspects of individual team-member effectiveness:organizational aspects (project management), relational aspects (interpersonal relations), andcommunication aspects (information presentation and discussion) as shown in Table 1. Thesecompetencies are developed in students through the use of an online Team-effectivenessLearning System that allows students to complete and reflect upon self- and peer-assessments oftheir actions along these competencies. The inventory is comprised of a 7-point behaviourallyanchored rating scale for each competency which describes what each of the competenciesshould look like in a team working at the ‘performing’ stage of

Conference Session

Engineering Student Experiences

Collection

2014 ASEE Annual Conference & Exposition

Authors

Scott Blum, University of Colorado, Colorado Springs

Tagged Divisions

Educational Research and Methods

researchers have argued that this model does not provide a complete picture ofengagement. They pointed out that it does not consider the commitment of psychological energyor the relationship between the quality of student effort and student learning.30 Other theorieswere developed to explain the impact of engagement on student development. For example,experiential learning theory took a dynamic view of learning entirely separate from the IEOmodel. Instead, it was based on a learning cycle which in turn was driven by the resolution ofdual dialectics which it defined to be action/reflection and experience/abstraction.24 Regardless of the model, it has been well established that engagement has a positiveeffect on student outcomes and development

Conference Session

Methodological & Theoretical Contributions to Engineering Education 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Corey T. Schimpf, Purdue University, West Lafayette; Joyce B. Main, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

each case to begrouped or clustered. The techniques then use one of the methods above, as reflected in differentsorting algorithms, to generate one or more clusters of related cases. It is used across many fieldsincluding education, engineering, and life, social, and physical sciences12,13,35,36 for manypurposes including verifying underlying group structures or as exploratory and data-miningmethods. This study applies a k-means cluster analysis, a well-established technique previouslyused in engineering education research, to identify clusters of institutions with different profilesthat have a greater or fewer number of family-related benefits. Past studies in engineeringeducation research have used k-means to develop skill and ability

Conference Session

Student Learning, Problem Solving, & Critical Thinking 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Youyi Bi, School of Mechanical Engineering, Purdue University; Tahira N. Reid, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

researchers arestarting to apply eye tracking technology in studying people’s problem solving process; e.g.,Madsen’s study of visual attention in physics problem solving [52].Madsen showed that when solving physics problems, both top-down and bottom-up processesare involved. The top-down processes are internal and determined by one’s prior knowledge andgoals. The bottom-up processes are external and determined by features of the visual stimulisuch as color and luminance contrast. Madsen’s study assumed that eye movements reflect aperson’s moment-to-moment cognitive processes, providing a window into one’s thinking. In aprevious study, the way correct and incorrect solvers viewed relevant and novice-like elements ina physics problem diagram were