Conference Session

Trends in Engineering Education 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Khairiyah Mohd-Yusof, Universiti Teknologi Malaysia; Fatin Aliah Phang, Faculty of Education, Universiti Teknologi Malaysia; Aziatul Niza Sadikin, Universiti Teknologi Malaysia; Syed Ahmad Helmi, Universiti Teknologi Malaysia; Mohd Johari Kamaruddin, Centre of Lipids Engineering & Applied Research (CLEAR), Faculty of Chemical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia.

Tagged Divisions

Educational Research and Methods

). Come up with questions for interviewing the engineers (Sept 17).  Progress check of Engineering Overview task (Sept 19).  Interview at least 2 engineers for their opinion on what engineering is and the topic  Attach interview questions and their opinion(s).  Provide proof that you have interviewed them.  You can interview by meeting the person, virtual discussion (e.g Skype) or by phone. Create a video for one of the interviews. The video will be uploaded in UTMotion. Please get the permission of the engineer that you are interviewing if he or she agrees to have the video in UTMotion.  Gather the points and make a power point presentation (presentation on Sept 24

Conference Session

Team Facilitation and Effectiveness

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

P.K. Imbrie, University of Cincinnati; Jutshi Agarwal, University of Cincinnati; Gibin Raju, University of Cincinnati

Tagged Divisions

Educational Research and Methods

Engineering Education for the 21st Century," in Symposium on Engineering and Liberal Education, Schenectady, NY, 2010.[4] T. S. Isaac, O. J. Kolawole, A. A. G. Funsho and O. J. Adesiji, "Reviewing Engineering Curricula to Meet Industrial and Societal Needs," in 2014 International Conference on Interactive Collaborative Learning (ICL), Dubai, UAE, 2014.[5] M. F. Ercan and R. Khan, "Teamwork as a fundamental skill for engineering," in 2017 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Hong Kong, 2017.[6] K. Sheppard, P. Dominick and Z. Aronson, "Preparing Engineering Students for the New Business Paradigm of International Teamwork and Global Orientation," International Journal of

Conference Session

Problem Solving, Adaptive Expertise, and Social Engagement

Collection

2018 ASEE Annual Conference & Exposition

Authors

Secil Akinci-Ceylan, Iowa State University; Kristen Sara Cetin P.E., Iowa State University; Renee Fleming; Benjamin Ahn, Iowa State University; Andrea E. Surovek, South Dakota School of Mines and Technology; Bora Cetin, Iowa State University; Paige Taylor

Tagged Divisions

Educational Research and Methods

University Dr. Kristen S Cetin is an Assistant Professor at Iowa State University in the Department of Civil, Con- struction and Environmental Engineering.Renee FlemingDr. Benjamin Ahn, Iowa State UniversityDr. Andrea E. Surovek, South Dakota School of Mines and Technology Dr. Andrea Surovek. P.E. is a research scientist in the area of biomimicry for sustainable construction at the South Dakota School of Mines and Technology. She is a fellow of both ASCE and the ASCE Structural Engineering Institute and was awarded the ASCE Winter award in 2016 for contributions to the field of structural engineering. She is the recipient of the ASEE CE Division Seeley Fellowship and the Mechanics Division Beer and Johnston Outstanding

Conference Session

Works in Progress: Facilitating Student Success and Inclusion

Collection

2016 ASEE Annual Conference & Exposition

Authors

Dong San Choi, University of Illinois, Urbana-Champaign

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

academic setbacks.AcknowledgementThis research was supported by the Campus Research Board at the University of Illinois atUrbana-Champaign. I would also like to thank Namah Vyakarnam and Julianna Ge for their helpin transcribing and coding the interview data.References[1] Ohland, M. W., Sheppard, S. D., Lichtenstein, G., Eris, O., Chachra, D., & Layton, R. A. (2008). Persistence, engagement, and migration in engineering programs. Journal of Engineering Education, 97(3), 259–278.[2] Seymour, E., & Hewitt, N. M. (1997). Talking about leaving: Why undergraduates leave the sciences. Boulder, CO: Westview Press.[3] Haag, S., Hubele, N., Garcia, A., & McBeath, K. (2007). Engineering undergraduate

Conference Session

Qualitative Methodologies

Collection

2015 ASEE Annual Conference & Exposition

Authors

Robert Matthew DeMonbrun, University of Michigan; Cynthia J. Finelli, University of Michigan; Prateek Shekhar, University of Texas, Austin

Tagged Divisions

Educational Research and Methods

Page 26.1149.2difficulties, the process of analyzing ethnographic data is often one of the most difficult steps forresearchers to navigate during the research process. Much of this confusion comes from attemptsto demonstrate an understanding of what was actually observed.In their seminal book, “Writing Ethnographic Fieldnotes,” Emerson, Fretz, and Shaw2 discusstechniques for writing effective fieldnotes in a variety of observational settings. They state thatfieldnotes can often be written from multiple perspectives. Using a first-person point of view,researchers are able to describe specifically what they observe or experience during the datacollection process. This is particularly useful when the researcher is a member of the group s/heis

Conference Session

Student Success III: Affect and Attitudes

Collection

2016 ASEE Annual Conference & Exposition

Authors

Ryan R. Senkpeil, Purdue University, West Lafayette; Edward J. Berger, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

. Dodou, “Predicting academic performance in engineering using high school exam scores,” Int. J. Eng. Educ., vol. 27, no. 6, pp. 1343–1351, 2011.[4] J. L. Kolbrin, B. F. Patterson, E. J. Shaw, K. D. Mattern, and S. M. Barbuti, “Validity of the SAT for predicting first-year college grade point average,” New York, 2008.[5] R. Sawyer, “Beyond correlations: Usefulness of high school GPA and test scores in making college admissions decisions,” Appl. Meas. Educ., vol. 26, no. 2, pp. 89–112, 2013.[6] S. Trapmann, B. Hell, J.-O. W. Hirn, and H. Schuler, “Meta-analysis of the relationship between the big five and academic success at university,” Zeitschrift für Psychol. / J. Psychol., vol. 215, no. 2, pp. 132–151, Jan

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

8 2.517Finelli, Cynthia J University of Michigan Center 5 1.736Sheppard, Sheri D Stanford University Center 4 1.736Borrego, Maura J Virginia Tech Department 10 1.563Chen, Helen L Stanford University Center 3 1.215Diefes-Dux, Heidi A Purdue University Department 5 1.215Long, Russell A Purdue University Department 3 1.215Carpenter, Donald D Lawrence University None 3 1.128Harding, Trevor S Calif Polytech State Univ None 3

Conference Session

Examining Social Ties and Networks

Collection

2015 ASEE Annual Conference & Exposition

Authors

Patricia Kristine Sheridan, University of Toronto; Penny Kinnear, University of Toronto; Greg Evans, University of Toronto; Doug Reeve, University of Toronto

Tagged Divisions

Educational Research and Methods

meeting that we video recorded. In this meeting, Team2 spent the majority of their time planning their final presentation. This was the next coursedeliverable following the meeting, and Team 2 focused heavily on creating a presentation that fitthe course requirements but was also memorable. This clip presents the first decision the teammade around their presentation structure and medium – What medium(s) should the team use toconvey their design? Seated from left to right around the table at the start of the clip shown inFigure 5-3 are: Yin, Meghan, Jing, Analyn, Zoya, and Wu.Figure 5-3

Conference Session

Engineering Design: Implementation and Evaluation

Collection

2010 Annual Conference & Exposition

Authors

Shanna Daly, University of Michigan; Seda Yilmaz, University of Michigan; Colleen Seifert, University of Michigan; Richard Gonzalez, University of Michigan

Tagged Divisions

Educational Research and Methods

generation of concept 7, the drying rack, he emphasized the constraints of"inexpensive and portable." He also indicated flexibility in the way he interpreted the problemstatement: The problem indicated the need to design a food cooker, but he recognized the deeperproblem was that users' goals were to eat. Thus, he expanded from a strict definition of“cooking” to include designs for warming and drying other foods.Case Study 2: Engineer 2. Six diverse concepts were identified in Engineer 2's work. His firstconcept was a magnifying glass aimed at a metal pot with a cover. “Basically we’re going tomagnify the sunlight, if it were frying ants. Hopefully that will fry the water and people will behappy.” His second concept was a black pot with the driving

Conference Session

Service Learning Courses

Collection

2007 Annual Conference & Exposition

Authors

Tao Hong, Purdue University; William Oakes, Purdue University; Susan Maller, Purdue University; Carla Zoltowski, Purdue University

Tagged Divisions

Educational Research and Methods

with maximum likelihood estimation was created as inputfor the analyses due to the fact that all the items are ordinal in nature. Demographicvariables (gender and major) served as covariates or the multiple causes individually to Page 12.400.6investigate latent mean differences and potential sources of item bias. The analyses in thisstudy were conducted in two major steps. First, CFAs were conducted to fit the one-factor theoretical models to the data. Parameters were estimated and several fit indiceswere used to examine the fit of the models: Satorra-Bentler’s (S-B) chi-square statistic(χ2) 14 , ratio of chi-square to degrees of freedom (χ2/df), Root

Conference Session

Educational Research and Methods Division Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Joshua M. Cruz, Texas Tech University; Noa Bruhis, Arizona State University; Nadia N. Kellam, Arizona State University; Suren Jayasuriya, Arizona State University

Tagged Topics

Diversity

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Educational Research and Methods

program, 40% of the population is comprised of women, a stark contrast to thesmall percentage of women represented in more traditional engineering programs. We felt thatinterviewing a proportionally larger number of women in a context different than traditionalengineering programs might provide insight into their construction, understanding, and valuingof knowledge(s). We acknowledge that this might risk having the male student having tokenrepresentation, and a follow-up study and analysis plans to address this gender imbalance.Data Collection: Participants were recruited from the AME capstone course and were chosenbecause the course is only taken by students approaching graduation; we felt that these studentshad ample experience with the program

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

forengineering students. Not only would this improve the normality of the data and decrease theneed for additional analytical processes that will reduce the statistical power, but it would alsoallow for improved understanding of student learning and improved assessment of curriculumimpact on student abilities.Funding and AcknowledgementsBenjamin Call is funded by Utah State University’s Presidential Doctoral Research Fellowship.We would like to thank all of the students who participated in the study.References1. Halpern, D. F., & Collaer, M. L. (2005). The Cambridge Handbook of Visuospatial Thinking. Cambridge: Cambridge University Press.2. Sorby, S., Casey, B., Veurink, N., & Dulaney, A. (2013). The role of spatial training in

Conference Session

Works in Progress: Learning and Engagement

Collection

2016 ASEE Annual Conference & Exposition

Authors

Carli Denyse Flynn, Syracuse University; Cliff I. Davidson, Syracuse University; Sharon Dotger, Syracuse University

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Educational Research and Methods

identified by the RACI. Inquiry-based learning activities were designedusing variation theory4 to challenge students’ conceptual understanding of rate and accumulationprocesses across multiple contexts. Activities include the use of toy bricks to construct rate andaccumulation graphs. These activities will be tested in a required sophomore civil andenvironmental engineering course. The success of these activities will be measured usingformative assessments and pre-post course RACI scores. An observation protocol will also beused to assess students’ responses to the class activities5.References1. Flynn, C.D., Davidson, C.I., Dotger, S., 2014. Engineering Student Misconceptions about Rate and Accumulation Processes, in: ASEE 2014 Zone I

Conference Session

Works in Progress II

Collection

2018 ASEE Annual Conference & Exposition

Authors

Tasha Zephirin, Purdue University, West Lafayette (College of Engineering); Brent K. Jesiek, Purdue University, West Lafayette (College of Engineering)

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

from this study can give contextualized voice to student-led efforts in retention [17].References[1] M. S. Ross and S. McGrade, “An exploration into the impacts of the National Society of Black Engineers (NSBE) on student persistence,” in ASEE 123rd Annual Conference & Exposition, 2016.[2] D. Dickerson and T. Zephirin, “Exploring the association of a cultural engineering student organization chapter with student success,” in Proceedings of ASEE 124th Annual Conference & Exposition, 2017.[3] W. C. Lee and H. M. Matusovich, “A model of co-curricular support for undergraduate engineering students,” J. Eng. Educ., vol. 105, no. 3, pp. 406–430, 2016.[4] W. C. Lee, A. Godwin, and A. L. H. Nave

Conference Session

Data-informed Approaches to Understanding Student Experiences and Outcomes

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Mariem Boujelbene, University of Louisville; Khalil Damak, University of Louisville; Asuman Cagla Acun Sener, University of Louisville; Jeffrey Lloyd Hieb, University of Louisville; Campbell R. Bego, University of Louisville; Patricia A. Ralston, University of Louisville; Olfa Nasraoui , University of Louisville

Tagged Divisions

Educational Research and Methods

An instructor and postdoctoral researcher in engineering education, Campbell R. Bego, PhD, PE, is inter- ested in improving STEM student learning and gaining understanding of STEM-specific learning mech- anisms through controlled implementations of evidence-based practices in the classroom. Dr. Bego has an undergraduate Mechanical Engineering degree from Columbia University, a Professional Engineering license in the state of NY, and a doctorate in Cognitive Science.Dr. Patricia A Ralston, University of Louisville Dr. Patricia A. S. Ralston is Professor and Chair of the Department of Engineering Fundamentals at the University of Louisville. She received her B.S., MEng, and PhD degrees in chemical engineering from

Conference Session

Student Learning, Problem Solving, and Critical Thinking 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Cynthia B. Paschal, Vanderbilt University

Tagged Divisions

Educational Research and Methods

higher response rates. Atthis institution, simple acknowledgement of those degree programs with 100% response rates inthe foreword to the summary report and in a meeting of department chairs motivates those withhigh response rates to continue their efforts in the following year. Embarrassment of thoseprograms with lower response rates motivates increased efforts in the following year to improveresponse rate.Finally, for the last two years, an anonymized summary of the survey results has been publishedonline and advertised to current students. Students have thus been able to access informationvaluable to them such as what companies have just recently employed graduates from theirmajor(s), what graduate and professional schools have admitted

Conference Session

Persistence and Retention I

Collection

2011 ASEE Annual Conference & Exposition

Authors

Qu Jin, Purdue University, West Lafayette; P.K. Imbrie, Texas A&M University; Joe J.J. Lin, Purdue University, West Lafayette; Xingyu Chen, Purdue University

Tagged Divisions

Educational Research and Methods

decisions.Bibliography1 Imbrie, P. K., Lin, J. & Reid, K. Comparison of Four Methodologies for Modeling Student Retention in Engineering. American Society for Engineering Education Annual Conference & Exposition. (2010).2 Imbrie, P. K., Lin, J. & Malyscheff, A. Artificial Intelligence Methods to Forecast Engineering Students’ Retention based on Cognitive and Non-cognitive Factors. American Society for Engineering Education Annual Conference & Exposition.(2008).3 French, B. F., Immekus, J. C. & Oakes, W. An Examination of Indicators of Engineering Students' Success and Persistence. Journal of Engineering Education (2005).4 Nicholls, G. M., Wolfe, H., Mary, B.-S., Shuman, L. J. & Larpkiattaworn, S

Conference Session

Data-informed Approaches to Understanding Student Experiences and Outcomes

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Qin Liu, University of Toronto; Greg Evans, University of Toronto

Tagged Divisions

Educational Research and Methods

/resources/SP13_3268_West_Report_2015.pdf.[29] H. Najafi, L. Harrison, C. Geraghty, G. Evans, Q. Liu, and G. antz., "Learning analytics in Ontario post-secondary institutions: An environmental scan," Toronto, ON: eCampusOntario, 2020, Available: https://www.ecampusontario.ca/wp- content/uploads/2020/03/2019-03-27-learning-analytics-scan-en.pdf.[30] J. S. Gagliardi, A. Parnell, and J. Carpenter-Hubin, "The analytics revolution in higher education: Big data, organizational learning, and student success." Sterling, VA: Stylus Publishing, 2018.[31] AIR, EDUCAUSE, and NACUBO, "A joint statement on analytics from AIR, EDUCAUSE and NACUBO." 2019, Available: https://changewithanalytics.com/statement/[32] J

Conference Session

Faculty Attitudes and Perceptions

Collection

2008 Annual Conference & Exposition

Authors

Susan Lord, University of San Diego; Michelle Camacho, University of San Diego; Christina Aneshansley, University of San Diego

Tagged Divisions

Educational Research and Methods

Engineering Education Annual Meeting, Salt Lake City, UT.4 IEAust, (1996) “Changing the culture: Engineering education into the future,” Institution of Engineers Australia, ACT 1996.5 Tonso, K., (2007) On the Outskirts of Engineering: Learning Identity, Gender, and Power via Engineering Practice, Rotterdam, The Netherlands: Sense Publishers.6 Romney, A. K., S. C. Weller, and W. H. Batchelder, (1986) "Culture as Consensus: A Theory of Culture and Informant Accuracy," American Anthropologist, 88: 313-38.7 Fox, R.G. (ed) (1991) Recapturing Anthropology: Working in the Present, Sante Fe, NM: School of American Research Press.8 Marcus, G. E. and M. J. Fischer, (1985) Anthropology as Cultural Critique: An Experimental Moment in the Human

Conference Session

ERM Technical Session 3: Working in Teams

Collection

2019 ASEE Annual Conference & Exposition

Authors

Ed LeRoy Michor, Oregon State University; Susan Bobbitt Nolen, University of Washington; Milo Koretsky, Oregon State University

Tagged Divisions

Educational Research and Methods

regulatory move,asking the group “how to work best together?” M2 responds in a joking manner with, “I thinksharing ideas is a good idea,” his gaze moving over the other group members while smiling. M1echoes M2’s response, evoking laughter from all group members. Following this interaction, theGTA addresses a separate, nearby group and offers several suggestions as to how to think aboutthis first bullet point. The group members in the study all look over and listen to the GTA’ssuggestions. After listening to the GTA’s advice, M1 laughs to his group and states, “Well thatdidn't really help.” The group laughs, then goes back to writing independently before F1 asks,“Are you guys writing actual stuff or just generic teamwork things?” M2 responds with a

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

Paper ID #9827Utilizing Think-Aloud Protocols to Assess the Usability of a Test for EthicalSensitivity in ConstructionMr. Kenneth Stafford Sands II, Virginia Tech Kenneth S. Sands II is a doctoral candidate and graduate assistant in Environmental Design and Planning at Virginia Tech. His research focus is on professional ethics and its pedagogy.Dr. Denise Rutledge Simmons, Virginia Tech Denise R. Simmons, Ph.D., is an assistant professor in the Myers-Lawson School of Construction & Civil and Environmental Engineering at Virginia Polytechnic Institute and State University. She holds a B.S., M.S., and Ph.D. in civil

Conference Session

Research in Engineering Education I

Collection

2012 ASEE Annual Conference & Exposition

Authors

Sandra Loree Dika, University of North Carolina, Charlotte; Jae Hoon Lim, University of North Carolina, Charlotte

Tagged Divisions

Educational Research and Methods

Research We reviewed a total of 13 studies for the second component of our critical analysis.First, we reviewed classic retention studies by Astin 4,29 and Tinto 30, which have been frequentlycited as germinal research linking the construct of social engagement to college student retentionand/or academic success. Nora et al.’s study6 was reviewed as an example of more recentempirical investigations using an extensive national dataset. Next, we analyzed 10 empiricalstudies that examined relationships between peer-oriented social engagement and measures ofcollege student adjustment/persistence (e.g., retention, GPA, other persistence measures) inengineering education. We specified four criteria for the inclusion of a study in our review: a

Conference Session

Research on Engineering Design Education

Collection

2011 ASEE Annual Conference & Exposition

Authors

Shanna R. Daly, University of Michigan; James Loren Christian, University of Michigan; Seda Yilmaz, Iowa State University; Colleen M. Seifert, University of Michigan; Richard Gonzalez, University of Michigan

Tagged Divisions

Educational Research and Methods

improving the set of concepts available for furtherdevelopment in the design process.AcknowledgementsWe are grateful to Jamie Phillips for inviting us to his classroom to work with his students. Thiswork is funded by The National Science Foundation, Engineering Design and Innovation (EDI)Grant 0927474.References[1] Ahmed, S.; Wallace, K. M.; Blessing, L. T. M. (2003). Understanding the differences between how novice and experienced designers approach design tasks. Journal of Research in Engineering Design, 14, 1-11.[2] Cross, N. (2001). Design cognition: Results from protocol and other empirical studies of design activity. In C. M. Eastman, W. M. McCracken & W. C. Newstetter (Eds.), Design knowing and learning: Cognition in design

Conference Session

Medley of Undergraduate Programming and Pedagogies

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Anastasia Marie Rynearson, Campbell University; Jacqueline Gartner Ph.D., Campbell University; Michele Miller, Campbell University

Tagged Topics

Diversity

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Educational Research and Methods

. She received undergraduate and graduate degrees in mechanical engineering from Duke and NC State, respectively. Her research interests include engineering education and precision manufacturing. American c Society for Engineering Education, 2021 Use of Personas in Rating Scholarship ApplicationsIntroductionThis evidence-based practice paper introduces a method for creating subjective, holistic rubricsbased on the human-centered design concept of personas. It can be difficult to align assessmentmetrics with subjective artifacts, especially when the goal of the artifact itself is subjective. Thefaculty team who collaborated on an NSF S-STEM project faced

Conference Session

ERM Technical Session 14: Thinking about the Engineering Curriculum

Collection

2019 ASEE Annual Conference & Exposition

Authors

Isabel Hilliger, Pontificia Universidad Catholica de Chile; Sergio Celis, Universidad de Chile; Mar Pérez-Sanagustín, Université Paul Sabatier Toulouse III; Jorge Baier, Pontificia Universidad Católica de Chile

Tagged Topics

Diversity

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Educational Research and Methods

the authors, and the Commission cannot be heldresponsible for any use which may be made of the information contained therein.7. References[1] S. Swarat, P. H. Oliver, L. Tran, J. G. Childers, B. Tiwari, and J. L. Babcock, “How Disciplinary Differences Shape Student Learning Outcome Assessment,” AERA Open, vol. 3, no. 1, p. 233285841769011, 2017.[2] G. W. G. Bendermacher, M. G. A. oude Egbrink, I. H. A. P. Wolfhagen, and D. H. J. M. Dolmans, “Unravelling quality culture in higher education: a realist review,” High. Educ., vol. 73, no. 1, pp. 39–60, 2017.[3] B. J. Harper and L. R. Lattuca, “Tightening Curricular Connections: CQI and Effective Curriculum Planning,” Res. High. Educ., vol. 51, pp. 505–527, 2010.[4

Conference Session

ERM Potpourri

Collection

2009 Annual Conference & Exposition

Authors

Michele Miller, Michigan Technological University; Leonard Bohmann, Michigan Technological University; William Helton, Michigan Technological University; Anna Pereira, Michigan Technological University

Tagged Divisions

Educational Research and Methods

development of this ability, and determine theeffect of this ability on self-efficacy and attitude toward engineering.AcknowledgmentsThis work was supported in part by the National Science Foundation under Grant No. EEC-0835987.References1. The National Academy of Engineering, The Engineer of 2020: Visions of Engineering in the New Century, The National Academies Press, 2004.2. The National Academy of Engineering, Educating the Engineer of 2020: Adapting Engineering Education to the Next Century, The National Academies Press, 2005.3. The National Academies, Rising Above the Gathering Storm: Energizing and Employing America for a Brighter Economic Future, The National Academies Press, 2006.4. Sheppard, S. D., K. Macatangay, A

Conference Session

ERM Technical Session 10: Understanding Student Experiences

Collection

2019 ASEE Annual Conference & Exposition

Authors

Emily Dringenberg, Ohio State University; Stephen Secules, Purdue University, West Lafayette; Amy Kramer P.E., Ohio State University

Tagged Topics

Diversity

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Educational Research and Methods

Conference Session

Student Perceptions of Self-efficacy, Success, and Identity

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Hindolo Michael Kamanda, University of Georgia; Davis George Anderson Wilson, University of Georgia; Joachim Walther, University of Georgia; Nicola W. Sochacka, University of Georgia; Stephen Secules, Florida International University; James L. Huff, Harding University

Tagged Topics

Diversity

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Educational Research and Methods

Conference Session

Student Motivation, Identity, and Resilience

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Wonki Lee, Purdue University, West Lafayette; Jeffrey F. Rhoads, Purdue University, West Lafayette; Edward J. Berger, Purdue University, West Lafayette; Jennifer Deboer, Purdue University, West Lafayette

Tagged Topics

Diversity

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Educational Research and Methods

., vol. 97, no. 6, pp. 287–298, 2004.[8] D. H. Schunk, “Self-efficacy and academic motivation,” Educ. Psychol., vol. 26, no. 3–4, pp. 207–231, 1991.[9] L. Barnard, W. Y. Lan, Y. M. To, V. O. Paton, and S.-L. Lai, “Measuring self-regulation in online and blended learning environments,” Internet High. Educ., vol. 12, no. 1, pp. 1–6, 2009.[10] R. S. Jansen, A. Van Leeuwen, J. Janssen, L. Kester, and M. Kalz, “Validation of the self- regulated online learning questionnaire,” J. Comput. High. Educ., vol. 29, no. 1, pp. 6–27, 2017.[11] R. Lynch and M. Dembo, “The relationship between self-regulation and online learning in a blended learning context,” Int. Rev. Res. Open Distrib. Learn., vol. 5, no. 2, 2004.[12] L. Springer, M

Conference Session

Student Learning

Collection

2009 Annual Conference & Exposition

Authors

Jay Martin, University of Wisconsin, Madison; John Mitchell, University of Wisconsin, Madison; Jennifer Welter, Wiley; Sandra Courter, University of Wisconsin, Madison

Tagged Divisions

Educational Research and Methods

confidence using theseinventories, although efforts should be made to improve the reliability. Page 14.1260.5 Table 1 Statistics for Concept Inventories Class No. Mean Score Standard Reliability Std Error Students Deviation Coefficient, of Meas. Score % alpha Thermo S 06 116 21.0 65 4.2 0.69 2.3 F 05 110 19.4 61 3.9 0.66 2.3 Fluids S 06 114 14.9 50 4.1 0.69 2.3 F 05