Conference Session

Curricula of the Past, Present, and Future

Collection

2006 Annual Conference & Exposition

Authors

Yvonne Ng, College of St. Catherine; Lori Maxfield, College of St. Catherine

Tagged Divisions

Educational Research and Methods

student were losing interestor verve in the work. A good preceptor would be able to work with students, through variousactivities and discussions, to help them see themselves as future participants in the field.Theoretically, this is the role of the modern advisor in today’s colleges.Attributes of the Curriculum of Identity allow students to: • reflect on their skills and interests as they relate to the discipline, • develop awareness of their modes of working as they relate to the modes of the operation characteristic of the discipline, • reflect on the impact of the discipline in the world and of self in the discipline, • think about the impact of the discipline on the lives of others in the wider world, • examine the

Conference Session

Knowing Our Students II

Collection

2006 Annual Conference & Exposition

Authors

Todd Johnson, Washington State University

Tagged Divisions

Educational Research and Methods

introductions to different areas ofengineering that allow students to shape their programs to reflect interests in one of the usualbranches of engineering. A particular concern for our program was the student success rate inone of our engineering gateway Computer Sciences (Cpt S 121 - Program Design andDevelopment) courses. Over a four year period from 2000-2004, only 57% of the students wereable to complete the course with a grade of C or better, resulting in 43% of graded students“failing” this class (not including students who withdrew before receiving a grade). Because thiscourse is crucial to retaining students in the engineering program, it was identified to pilot aninstrument that could inform faculty, and more generally, engineering educators

Conference Session

Knowing Our Students I

Collection

2006 Annual Conference & Exposition

Authors

Trevor Harding, Kettering University; Cynthia Finelli, University of Michigan; Donald Carpenter, Lawrence Technological University; Matthew Mayhew, University of North Carolina-Wilmington

Tagged Divisions

Educational Research and Methods

his Ph.D. in Higher Education with an emphasis on Research, Evaluation, and Assessment. His research interests include evaluation and assessment and student development, with particular focus on learning outcomes of postsecondary education, namely, moral reasoning, reflective judgment, spirituality, and intercultural sensitivity. Page 11.609.1© American Society for Engineering Education, 2006 Examining the Underlying Motivations of Engineering Undergraduates to Behave UnethicallyAbstractThe need for ethical behavior in engineering professional practice has been demonstratedrepeatedly

Conference Session

Educational Research and Methods Division (ERM) Best Paper Finalists

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Dina Verdín, Arizona State University; Jessica Mary Smith, Colorado School of Mines; Juan C. Lucena, Colorado School of Mines

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

]–[4]. Engineeringknowledge is not value neutral and—depending on how it is selected, organized, demarcated,delivered, and evaluated—it can have discriminatory effects on different populations (e.g., [5]–[7]. Often students are implicitly asked to leave aspects of themselves at the door before enteringthe classroom in order to learn “objective” engineering knowledge [8]. This history of theengineering profession means that class biases were baked into its educational systems, helping toexplain why students from low-income and working-class backgrounds describe the culture andcontent of undergraduate engineering programs as foreign, if not hostile (e.g., [9]). Critically reflecting on what knowledge “counts” as engineering knowledge is

Conference Session

Innovative Classroom Techniques

Collection

2006 Annual Conference & Exposition

Authors

Eileen Kowalski, U.S. Military Academy; Joe Manous, U.S. Military Academy

Tagged Divisions

Educational Research and Methods

results areinteresting and indicate fundamental concepts such as balancing reactions are better retained thanmore abstract concepts such as the behavior of molecular forces within compounds. There alsoseems to be only modest correlation between the graduation quality point average (QPA) and theresults of this assessment. Increasing the value of “n” being assessed is an appropriate next stepin this multi-year evaluation. We will interview another cohort of students this spring. While quantifiable trends are difficult to assess with the current density of data, theassessment process has aided the investigators in refining the list of input variables related tocognitive learning (Table 4). The resulting variables 1 through 3 reflect human

Conference Session

Teaming & Collaborative Learning

Collection

2017 ASEE Annual Conference & Exposition

Authors

Muhsin Menekse, Purdue University, West Lafayette (College of Engineering)

Tagged Divisions

Educational Research and Methods

/ or explanation; or (2) that’s all I can tell. And then this one Adding new ideas on a and this one seems equal” peer’s claim and/or “Yeah, so the max highest is iron explanation. and then the one is the second lower actually this one is max highest.” Expand (1) Reflecting on or “The melting point plus a greatest clarifying own claim; or (2) stretch expand” expanding/elaborating own “We do not know the exact claim by adding explanations temperature but you can get a and/or new information

Conference Session

Assessment of Student Work

Collection

2017 ASEE Annual Conference & Exposition

Authors

Greg J. Strimel, Purdue Polytechnic Institute; Scott R. Bartholomew, Purdue University; Andrew Jackson, Purdue Polytechnic Institute; Michael Grubbs, Baltimore County Public Schools; Daniel Gordon Mendiola Bates, North Carolina State University

Tagged Divisions

Educational Research and Methods

situations needs significant purification. However, water purification units are expensive and not easy to obtain. Therefore, you are tasked to design an inexpensive, easy to use, easy to assemble, durable, and low maintenance water purification system using low cost, readily available materials to quickly remove contaminants from water. You will focus on reducing the turbidity of a sample of water. Testing Performance Turbidity is a measure of the lack of clarity (cloudiness) of water and is a key test of water quality. Turbidity is apparent when light reflects off of particles in the water. Some sources of turbidity include soil erosion, waste discharge, urban runoff, and algal growth. In addition to creating an unappealing

Conference Session

Revolutionizing Engineering Departments (RED)

Collection

2017 ASEE Annual Conference & Exposition

Authors

Jennifer M. Bekki, Arizona State University, Polytechnic campus; Aisosa Ayela-Uwangue, Arizona State University, Polytechnic campus; Samantha Ruth Brunhaver, Arizona State University; Nadia N. Kellam, Arizona State University; Micah Lande, Arizona State University; Ann F. McKenna, Arizona State University, Polytechnic campus

Tagged Divisions

Educational Research and Methods

participation the faculty at ASU who are members of the affinity groups.Finally, we thank the The Polytechnic School at ASU and the evaluation team for supportingdata collection and participation in this research. This work is supported by the National ScienceFoundation Grant 1519339. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.ReferencesBolman, L. G., & Deal, T. E. (1991). Leadership and management effectiveness: A multi-frame, multi-sector analysis. Human Resource Management1, 30(4), 509–34.Borrego, M. & Henderson, C. (2014). Increasing the use of evidence-based teaching in STEM education: A

Conference Session

ERM Technical Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Matthew Louis Miller, United States Military Academy; Jeffrey Michael Rigney, United States Military Academy; Daniel Arnold, Unites States Military Academy at West Point; David M. Flaherty, United States Military Academy

Tagged Divisions

Educational Research and Methods

note that time survey data is inputmanually and anonymously at the beginning of every lesson. The value is input in units ofminutes, and generally reflects the preparation time for the lesson that the student is about toparticipate in.Instructors collected time survey feedback from four mechanical engineering courses thattransitioned to the new 30 lesson format over the fall (two courses) and spring (two courses)semesters of the 2019 academic year. Because the spring semester is currently on-going, datapresented from these courses only includes that pertaining to the first half, or 15 lessons. Similartime survey data for the previous ten years under the 40 lesson format was obtained. To maintaina fair comparison, only the data from the first

Conference Session

ERM Technical Session 13: Student Learning and Contexts

Collection

2019 ASEE Annual Conference & Exposition

Authors

Ziang Xiao, University of Illinois, Urbana-Champaign; Shiliang Zuo; Jinhao Zhao, Tsinghua University; Wai-Tat Fu, University of Illinois, Urbana-Champaign; Molly H. Goldstein, University of Illinois, Urbana-Champaign; Michael L. Philpott, University of Illinois, Urbana-Champaign; Julia Laystrom-Woodard, University of Illinois, Urbana-Champaign; Marcia Pool, University of Illinois, Urbana-Champaign; Angela Wolters, University of Illinois, Urbana-Champaign; Brian S. Woodard, University of Illinois, Urbana-Champaign

Tagged Divisions

Educational Research and Methods

development,” Personality and Individual Differences, vol. 49, no. 4, pp. 344–351, 2010.9. C. Mclaughlin, “Emotional well-being and its relationship to schools and classrooms: a critical reflection,” British Journal of Guidance & Counselling, vol. 36, no. 4, pp. 353– 366, 2008.10. L. Murphy and L. Thomas, “Dangers of a fixed mindset,” Proceedings of the 13th annual conference on Innovation and technology in computer science education - ITiCSE 08, 2008.11. S. A. Sorby, “Educational Research in Developing 3‐D Spatial Skills for Engineering Students,” International Journal of Science Education, vol. 31, no. 3, pp. 459–480, 2009.12. S. A. Sorby, Developing spatial thinking. Houghton, MI.: Higher Education Services, 2016.13. H. Wauck

Conference Session

Student Perceptions of Self-efficacy, Success, and Identity

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Constanza Miranda, Pontificia Universidad Católica de Chile; Julián Iñaki Goñi, Pontificia Universidad Católica de Chile; Bruk T. Berhane, Florida International University; Trinidad Sotomayor, Pontificia Universidad Católica de Chile

Tagged Divisions

Educational Research and Methods

quantifiable surveys. Most importantly, these themes reflect a morerobust and inclusive concept of entrepreneurship that extends beyond business-relatedentrepreneurial intent. This is particularly relevant in the spirit of educational inclusion. Indeed,not all students may start a new business, but we assert that all students ought to have theopportunity to explore the significance of developing an entrepreneurial mindset.Simultaneously, engineering faculty will potentially benefit from being able to integratecomponents of the entrepreneurial mindset in their courses.To tackle our research questions, we implemented a qualitative research design in order toidentify constructs and items. First, we started by conducting a critical review of the

Conference Session

Student Teams, Groups, and Collaborations

Collection

2016 ASEE Annual Conference & Exposition

Authors

Muhsin Menekse, Purdue University, West Lafayette; Senay Purzer, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

-making process become even more complex whendecisions are made in small group settings. There is research evidence that group interactionsand discourse processes can facilitate learning with reflection and co-construction of knowledge(e.g., [4] and individual achievement [5]). However, these verbal interactions may also preventsuccessful collaboration and lead to unproductive results (e.g., [6]). The purpose of this studywas to examine the relationship between verbal interactions that occur in a team and theindividual achievement and team performance. More specifically, the study explored: 1.   To what degree the question, conflict, and reasoning episodes relate to students’ individual performance? 2.   What is the strength of

Conference Session

Works in Progress: Learning and Engagement

Collection

2016 ASEE Annual Conference & Exposition

Authors

Alyssa Bellingham, Drexel University; John Kamal, Science Leadership Academy; Jessica S. Ward, Drexel University ; Adam K. Fontecchio, Drexel University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

mathematics (STEM) electives in high school. APh.D. student fellow from Drexel University and teacher from the Science Leadership Academy(SLA) in Philadelphia will teach robotics and engineering principles through open-endedprojects that address several of the NEA grand challenges. These projects are structured usingconstructivist pedagogy that ties into five core values: inquiry, research, collaboration,presentation, and reflection. We will introduce this study into an ethnically diverse robotics classcomprised of sophomore, junior, and senior students. The predisposition of students to studytopics relating to robotics will be assessed at the start of the study and then after each project hasbeen completed. Initially, predisposition will be

Conference Session

Assessment II: Learning Gains and Conceptual Understanding

Collection

2016 ASEE Annual Conference & Exposition

Authors

Mukasa E. Ssemakula, Wayne State University; Gene Yeau-Jian Liao, Wayne State University; Shlomo S. Sawilowsky, Wayne State University

Tagged Divisions

Educational Research and Methods

compared to ascertain the relative gains (if any) thatare directly attributable to the MILL model intervention, which is the objective of this work.Acknowledgement The work described in this paper was supported by the National Science FoundationIUSE Program under grant number DUE-1432284. Any opinions, recommendations, and/orfindings are those of the authors and do not necessarily reflect the views of the sponsors.References1. SME Education Foundation website: http://71.6.142.67/revize/sme/about_us/history.php2. Ssemakula, M.E. and Liao, G.: ‘Implementing The Learning Factory Model In A Laboratory Setting’ IMECE 2004, Intl Mech Engineering Congress & Exposition, Nov. 13-19, 2004; Anaheim, CA.3. Ssemakula, M.E. and Liao, G

Conference Session

Assessment II: Learning Gains and Conceptual Understanding

Collection

2016 ASEE Annual Conference & Exposition

Authors

Benjamin James Call, Utah State University; Wade H Goodridge, Utah State University; Thayne L Sweeten Ph.D., Utah State University

Tagged Divisions

Educational Research and Methods

charts (Plots A and C in both figures)reflect Anatomy course scores and the bottom bar charts (Plots B and D in both figures) reflectStatics course scores. Data is initially presented with regards to the MCT instruments applicationin a pre- and post-testing format for both classes and then data is presented for the PSVT:R in thesame fashion. Kurtosis and skewness will be discussed as relevant descriptive statistical data foreach bar chart and comparisons can then easily be made between the Anatomy and Statics preand post-performance on both instruments. A typical bell curve centered on the mean has beenprovided to aid visual confirmation of data normality.MCT ResultsBased on the pre-MCT results, the Anatomy course (Fig. 1, Plot A) had kurtosis

Conference Session

Assessing Social Responsibility & Sustainability

Collection

2015 ASEE Annual Conference & Exposition

Authors

Paul Gannon, Montana State University; Ryan Anderson, Montana State University; Justin W Spengler, Montana State University; Carolyn Plumb, Montana State University

Tagged Divisions

Educational Research and Methods, Engineering Ethics, Liberal Education/Engineering & Society

toward opposition to fracking and the 4th-year students were equally split in support of andopposition to fracking. The reason for this difference is unclear, but perhaps reflects differencesin cohort predispositions. The 4th-year students may exercise more critical thinking, or may havepre-professional experiences to draw from. The 1st-year students are predominately non-STEMmajors, and perhaps more influenced by the abundance and accessibility of opposition literature. Page 26.725.5Regardless, the activity appears to be effective in facilitating students’ opinion formation, whilethey gain factual knowledge. The third

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

Faculty Development II

Collection

2015 ASEE Annual Conference & Exposition

Authors

Grace Panther, Oregon State University; Devlin Montfort, Oregon State University; Shane A. Brown P.E., Oregon State University

Tagged Divisions

Educational Research and Methods

instructionalmaterials into the hands of instructors. These research-based materials can directly benefitstudents and in turn, assist in creating globally competitive engineers.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1361417. Any opinions, findings and conclusions, or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References1. National Academy of Engineering. Educating the Engineer of 2020: Adapting Engineering Education to the New Century. National Academies Press; 2005.2. National Science Foundation. Innovations in engineering education, curriculum, and infrastructure (IEECI

Conference Session

Teaching and Learning Strategies II

Collection

2015 ASEE Annual Conference & Exposition

Authors

Pradeep Kashinath Waychal, NMIMS University; Gautam Akiwate, University of California, San Diego

Tagged Divisions

Educational Research and Methods

assurance that thefindings reflect accurate measures and that results are trustworthy. Test reliability further indicates theextent to which individual differences in scores can be attributed to ‘true’ differences. We used the mostpopular measure - Cronbach Alpha for the purpose. Table 2 shows the Cronbach Alpha values for thedata collected for each of the subsets. TABLE 2: CRONBACH ALPHA VALUE - SELF ASSESSMENT Subsets Alpha Value Coding Specific 0.7700 Generic 0.7190Since alpha values for both the sets were found to be equal to or greater than 0.70, the instrument wasjudged to be

Conference Session

Works in Progress: Classroom Practice

Collection

2016 ASEE Annual Conference & Exposition

Authors

S. Zahra Atiq, Purdue University, West Lafayette; Casey Lynn Haney, Purdue University, West Lafayette; Jennifer Deboer, Purdue University, West Lafayette; David Cox, Harvard University

Tagged Divisions

Educational Research and Methods

-college engineering programs to first-year engineering (Ph.D.). Purdue University, United States -- Indiana. 15.   Turner, D. W. (2010). Qualitative Interview Design: A Practical Guide for Novice Investigators. The Qualitative Report, 15(3). 16.   Kvale, S. (1996). Interviews: An Introduction to Qualitative Research Interviewing (1st edition). Thousand Oaks, Calif: SAGE Publications, Inc. 17.   Walther, J., Sochacka, N. W. & Kellam, N. N. (2013), Quality in Interpretive Engineering Education Research: Reflections on an Example Study. Journal of Engineering Education, 102: 626–659. doi: 10.1002/jee.20029

Conference Session

Research Methods I: Developing Research Tools and Methods

Collection

2016 ASEE Annual Conference & Exposition

Authors

Kathleen Quardokus Fisher, Oregon State University; Laura Hirshfield, University of Michigan; Amanda Siebert-Evenstone, University of Wisconsin - Madison; Golnaz Arastoopour Irgens, University of Wisconsin - Madison; Milo Koretsky, Oregon State University

Tagged Divisions

Educational Research and Methods

compare different feedback structures, both visually(as a network and projected point) and through summary statistics that reflect theweighted structure of connections. The remainder of this section outlines the method ofENA. The details of how ENA was used to analyze the coaching sessions are provided inthe Results and Discussion section.To begin our ENA of co-occurrences of discourse elements (Table 1’s codes), we firstsubdivided the utterances of discourse into groups of utterances. These groups are calledstanza windows. The utterances within a window are assumed to be topically related. Inthis study, we examined conversations between students and coaches where students andcoaches are responding to each other’s previous discourse. As a result

Conference Session

Classroom Practice II: Technology - and Game-Based Learning

Collection

2016 ASEE Annual Conference & Exposition

Authors

Abigail Christine Perkins, Texas A&M University; Gary T. Fry Ph.D., P.E., Texas A&M University; Carol L. Stuessy, Texas A&M University

Tagged Divisions

Educational Research and Methods

centuryinstruction is process-oriented, evaluation of instruction can thus reflect a process-orientedschema to more clearly reflect that under evaluation.30 The field of engineering education needsmore contextually relevant evidence-based research about evaluation methodology for GBL.Adding the results of this study to the literature base can help bridge educational researchmethodology and actual practice of GBL for engineering education. The authenticity of oureducation research methodology has wide applicability for engineering education researchersdesiring to assess the effects of GBL unobtrusively on students’ learning while doing.2. Problem statementA critical component missing in education research literature are methods to reliably andcredibly

Conference Session

K-12 and Bridge Experiences in Engineering Education

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Timothy Ryan Duckett, University of Toledo; Gale A. Mentzer, Acumen Research and Evaluation, LLC

Tagged Divisions

Educational Research and Methods

down into a series of small, moremanageable problems (decomposition). The smaller problems can be looked at individually, consideringhow similar problems have been solved previously (pattern recognition) and focusing only on the importantdetails, while ignoring irrelevant information (abstraction). Next, simple steps or rules to solve each smallerproblem can be designed (algorithms). Research on CT assessment indicated that focusing on the processstudents follow to solve problems was essential to uncovering CT skills rather than relying upon summativetesting. Assessments should include items that examine how students process, scaffold, and reflect uponinformation as well as the steps they follow to solve problems including reviewing and

Conference Session

Student Approaches to Problem Solving

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Ada Hurst, University of Waterloo; Gregory Litster, University of Waterloo; Christopher Rennick, University of Waterloo

Tagged Divisions

Educational Research and Methods

innovations in engineering design pedagogy, problem- based learning, and effective teamwork in student teams. After completing undergraduate studies in electrical engineering, she continued on to earn a Masters and then a doctoral degree in management sciences, all from the University of Waterloo.Mr. Gregory Litster, University of Waterloo Greg Litster is currently a graduate student pursuing his M.A.Sc in Management Sciences at the University of Waterloo. He received his BKI Honours, Joint Honours in Mathematics from the University of Waterloo in 2019. His research interests are focused on student design education, group dynamics, and reflection as a part of the design process.Mr. Christopher Rennick, University of

Conference Session

Assessment and Evaluation in Engineering Education II

Collection

2007 Annual Conference & Exposition

Authors

Jenefer Husman, Arizona State University; Christa Lynch, Arizona State University; Jonathan Hilpert, Arizona State University; mary ann Duggan, Arizona State University

Tagged Divisions

Educational Research and Methods

subjective interpretation. Presumably, inthe future, this item should be rewritten or replaced so as to reflect the same six-month timeperiod as the other four items in the subscale. Item seven of the PI endogenous subscalealso decreased the internal consistency of its respective factor. This item reads, “I must passMAE 100 in order to reach my academic goals.” As this is the only item in the endogenoussubscale that does not directly address students’ grades, and it factored poorly with the otheritems in the subscale, this item also should be rewritten or replaced to more accurately reflectthe broader meaning of its respective latent factor.Internal consistency and external validity All three subscales of interest -- the FTPS, the FTPSE, and

Conference Session

ERM Potpourri II

Collection

2007 Annual Conference & Exposition

Authors

David Jonassen, University of Missouri; Sanjay Rebello, Kansas State University; Carlos Wexler, University of Missouri; Zdeslav Hrepic, Fort Hays State University; Gregory Triplett, University of Missouri

Tagged Divisions

Educational Research and Methods

. Psychonomic Bulletin & Review, 6 (4), 58-597.Loewenstein, J., Thompson, L., & Gentner, D. (2003). Analogical learning in negotiation teams: Comparing cases promotes learning and transfer. Academy of Management Learning and Education, 2 (2), 119-127.Reusser, K. (1993). Tutoring systems and pedagogical theory: representational tools for understanding, planning, and reflection in problem solving. In: Lajoie, S. P., and Derry, S. J. (eds.), Computers as Cognitive Tools, Lawrence Erlbaum, Hillsdale, NJ, pp. 143–178.Schoenfeld, A.H., & Herrmann, D.J. (1982). Problem perception and knowledge structure in expert and novice mathematical problem solvers. Journal of Experimental Psychology: Learning, memory

Conference Session

K-12 Activities

Collection

2006 Annual Conference & Exposition

Authors

Omolola Adedokun, Purdue University; Roger Tormoehlen, Purdue University

Tagged Divisions

Educational Research and Methods

period on theperformance of the students is not statistically significant (P= 0.0674). Likewise, there was nointeraction between the effects of class periods and the use (or no use) of the paper-basedworksheet (P =0.1772). However, the effect of the worksheet on the performance of the studentswas found to be significant (P = 0.0147). The results show that the class periods have nosignificant effect on the performance of the students, i.e., the effect of the worksheet does notvary across the periods. It does not appear that students’ academic performance, reflected in theclass period to which they were assigned, is significant. Hence, the supplemental worksheet canproduce positive results in both lower and higher achieving students. Weak students

Conference Session

Engineering Identity 2

Collection

2013 ASEE Annual Conference & Exposition

Authors

John C. Chen, California Polytechnic State University; Susan M Lord, University of San Diego; Karen J McGaughey, Cal Poly State University

Tagged Divisions

Educational Research and Methods

was formed from the following sets of questions: Page 23.521.4 Goal setting: Questions 1, 6, 7, 9, 14 Applying appropriate knowledge and skills: Questions 5, 10, 12 Engaging in self-direction and self-reflection: Questions 8, 13 Locating information: Question 11 Adapting learning strategies to different conditions: Questions 2, 3, 4Circle your answers to these questions using these guidelines for 1 to 5. 1-Strongly agree 2-Agree 3-Neutral 4-Disagree 5-Strongly Disagree1. I prefer to have others plan my learning 1 2

Conference Session

Misconceptions

Collection

2013 ASEE Annual Conference & Exposition

Authors

Shane A. Brown P.E., Washington State University

Tagged Divisions

Educational Research and Methods

0837749 andEngineering Education Program under Grant 1129460. Any opinions, findings andconclusions or recommendations expressed in this material are those of the author and donot necessarily reflect the views of the National Science Foundation.Bibliography[1] Gray, G.L., et al. The dynamics concept inventory assessment test: A progress report and some results. in American Society for Engineering Education Annual Conference and Exposition. 2005.[2] Jordan, W., H. Cardenas, and C.B. O'Neal. Using a Materials Concept Inventory to Assess an Introductory Materials Class: Potential and Problems. in American Society for Engineering Education Annual Conference and Proceedings. 2005.[3] Krause, S. and A. Tasooji. Diagnosing

Conference Session

Motivation and Self-Efficacy

Collection

2013 ASEE Annual Conference & Exposition

Authors

Robert Melendy Ph.D., George Fox University

Tagged Divisions

Educational Research and Methods

reflect upper-division computer/electrical and mechanical engineeringstudents’ mathematical beliefs as the mathematics relates to their upper-division coursework.All actively-enrolled juniors and seniors in computer, electrical, and mechanical engineeringwere invited to participate. Participants were recruited from a private university in NW Oregon.This site was chosen because of an already active collaboration between the engineering,mathematics, and education faculty.The MSE instrument was administered within the first three weeks of the 2012 fall semester. Thesample for this study consisted of n = 49 upper-division engineering students (30 junior males, 4junior females, 13 senior males, and 2 senior females). This population is further