Conference Session

Maker Communities and Authentic Problem Solving

Collection

2018 ASEE Annual Conference & Exposition

Authors

Adam R. Carberry, Arizona State University; Trevor Scott Harding, California Polytechnic State University, San Luis Obispo; Patrick J. Cunningham, Rose-Hulman Institute of Technology; Kristine R. Csavina, Colorado School of Mines; Michelle Choi Ausman, California Polytechnic State University, San Luis Obispo; Diana Lau, California Polytechnic State University, San Luis Obispo

Tagged Divisions

Educational Research and Methods

practice.AcknowledgementThis material is based on work supported by The Leona M. and Harry B. Helmsley CharitableTrust through funding of the Consortium to Promote Reflection in Engineering Education(CPREE), a collaboration of twelve educational institutions http://cpree.uw.edu.References[1] J. Dewey, How We Think. San Bernardino, CA: Renaissance Classics, 2012 (reprint of 1910 original).[2] J. A. Moon, Reflection in learning and professional development: Theory and practice. London, England: Routledge Falmer, 1999.[3] E. Rose, On reflection: An essay on technology, education, and the status of thought in the Twenty-first century. Toronto, Canada: Canadian Scholar’s Press Inc., 2013.[4] D. A. Schön, D. A., The reflective practitioner: How professionals

Conference Session

Climate Issues for Women Students

Collection

2006 Annual Conference & Exposition

Authors

Ashlyn Munson; Barbara Moskal, Colorado School of Mines; Wanda Dann, Ithaca College; Stephen Cooper, Saint Joseph's University

Tagged Divisions

Educational Research and Methods

Program Interactive 3D Graphics, http://www.alice.org (accessed December2004)3. Curricular Materials for Learning to Program with Alice: Please contact author.4. Cooper, S., Dann, W., & Pausch, R. (2005) Learning to Program with Alice Beta Version. PrenticeHall.5. Hutchinson, A., Moskal, B., Cooper, S., & Dann, W. Formative Assessment: An Illustrative ExampleUsing Alice. 2005 ASEE Annual Conference & Exposition.6. Gay, L.R. Educational Research: Competencies for Analysis and Application (3rd Ed.). New York:Macmillan Publishing Company, 1987.7. Kehoe, J. Practical Assessment, Research and Evaluation, Writing Multiple-Choice Test Items, 1995,Online:http://www.edresearch.org/scripts/seget2.asp?db=ericft&want=http://www.edresearch.org

Conference Session

Assessment of Student Learning 2

Collection

2013 ASEE Annual Conference & Exposition

Authors

Debra Gilbuena, Oregon State University; Audrey Briggs Champagne, University at Albany, SUNY; Milo Koretsky, Oregon State University

Tagged Divisions

Educational Research and Methods

feedback is necessary to help students further develop these skills and ithas been suggested such feedback is best when situated in the context of authentic engineeringtasks 3. We hypothesize that in such a context, students are more likely to take up feedback onprofessional skills because these skills will be viewed as an integral part of what an engineerdoes. There are two parts to providing students with feedback on these skills: (a) we first musthave a firm understanding of what it means to have professional skills in engineering, and (b) weneed to know how to effectively provide students with feedback on these skills.The case study described in this paper focuses on discourse as students receive feedback whilethey engage in an industrially

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

Technologies to Engineering and Science Education, 39(3).7. Engineering Pathway (2011). Submit Higher Education Resource. URL: http://www.engineeringpathway.com/ep/catalog/long_catalog/8. Genalo, L. & Wilson, D. (1996)."Multimedia engineering courseware," International Journal of Engineering Education. 12, pp. 428-432.9. Glaser, B & Strauss A. (1967). Discovery of Grounded Theory: Strategies for Qualitative Research. Chicago: Aldine.10. Hattendorf-Westney, L. (2000). A trivial pursuit? Information technology and the tenure track. Campus - Wide Information Systems, 17(4), pp. 113-119.11. Hsi, S. & Agogino, A. (1994). "The impact and instructional benefit of using multimedia case studies to teach

Conference Session

Mentoring Practices and Project Teams

Collection

2018 ASEE Annual Conference & Exposition

Authors

Shane Paul Lorona, Oregon State University; Susan Bobbitt Nolen, University of Washington; Milo Koretsky, Oregon State University

Tagged Divisions

Educational Research and Methods

.[3] M. D. Koretsky, “Program Level Curriculum Reform at Scale: Using Studios to Flip the Classroom,” Chemical Engineering Education, vol. 49, no. 1, pp. 47-57, 2015.[4] R. A. Lotan, “Group-worthy tasks,” Educational Leadership, vol. 60, no. 6, pp. 72-75, 2013.[5] B. Barron, and L. Darling-Hammond, “Teaching for meaningful learning: A review of research on inquiry-based and cooperative learning,” Powerful Learning: What We Know about Teaching for Understanding. pp. 11-70, 2008.[6] L. Deslauriers, E. Schelew, and C. Wieman, “Improved learning in a large-enrollment physics class,” Science, vol. 332, no. 6031, pp. 862-864, 2011.[7] D. R. Woods, Problem-based Learning: How to Gain the Most from PBL. Waterdown, Ontario: Donald R

Conference Session

SPECIAL SESSION: Describing the Engineering Student Learning Experience Based on CAEE Findings: Part 2

Collection

2008 Annual Conference & Exposition

Authors

Jennifer Turns, University of Washington; Jessica Yellin, University of Washington; Yi-Min Huang, University of Washington; Brook Sattler, University of Washington

Tagged Divisions

Educational Research and Methods

teaching practice, and what would count as an effective use ofinformation about learners. The review also raises questions about how these various ways oftaking learners into account map to the extent and the ways in which practicing engineeringeducators currently take learners into account, questions that we address in this paper.Research questionsThis paper addresses the following questions: a) To what extent are engineering educatorscurrently taking into account learners in their teaching? b) How do engineering educatorscharacterize their learners when they do take them into account (what information, how is theinformation organized)? and c) Where do engineering educators get their information about theirlearners? In the next section, we

Conference Session

Faculty Development

Collection

2017 ASEE Annual Conference & Exposition

Authors

Hye Sun You, New York University; Vikram Kapila, New York University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

teaching and learning Sample items from reflection survey 1. To what extent, if any, do you agree that you engaged in each of the following types of activities during this workshop? a. I performed hands-on learning activities with the EV3 LEGO robot b. I constructed the robot chassis and mechanisms using instructions provided by workshop facilitators c. I programmed LEGO EV3 brick by following provided sample programs and instructions 2. To what extent, if any, do you agree that you experienced each of the following types of learning as a result of your participation in the workshop? a. I gained greater understanding of the applications of science, technology

Conference Session

Curricula of the Past, Present, and Future

Collection

2006 Annual Conference & Exposition

Authors

Amy Banzaert, Massachusetts Institute of Technology; John Duffy, University of Massachusetts-Lowell; David Wallace, Massachusetts Institute of Technology

Tagged Divisions

Educational Research and Methods

standardsviii,ix. Table 1: Relationship between ABET Criterion 3 and S-L PedagogyCriterion 3 standards How S-L can meet these(a) an ability to apply knowledge of mathematics, Well-chosen S-L projects provide studentsscience, and engineering with the opportunity to apply these knowledge sets directly to real, potentially ambiguous problems.(b) an ability to design and conduct experiments, S-L projects can fit this criterion exactly; foras well as to analyze and interpret data example, students might collect and then analyze data for an

Conference Session

Learning from Industry

Collection

2017 ASEE Annual Conference & Exposition

Authors

Pryce Davis, University of Nottingham; Alexandra Vinson, Northwestern University; Reed Stevens, Northwestern University

Tagged Divisions

Educational Research and Methods

Paper ID #18564Informal Mentorship of New Engineers in the WorkplaceDr. Pryce Davis, University of Nottingham Pryce Davis is an Assistant Professor of Learning Sciences at the University of Nottingham. He received his Ph.D. in Learning Sciences from Northwestern University. His research interests include learning in informal settings and public engagement with science.Dr. Alexandra Vinson, Northwestern University Alexandra H. Vinson is a Postdoctoral Fellow in the School of Education and Social Policy at Northwest- ern University. She received her Ph.D. in Sociology & Science Studies from the University of California

Conference Session

New Learning Paradigms I

Collection

2009 Annual Conference & Exposition

Authors

William Oakes, Purdue University

Tagged Divisions

Educational Research and Methods

skill development includingcommunication, teamwork and leadership to the already packed curricula as well asdevelop societal and global awareness and create the next generation of entrepreneurs.Reports, such as those from the U.S. National Academy of Engineering1,2 advocate theintegration of a very broad set of skills into the already packed curricula to preparestudents for the 21st century’s global economy.It is a significant design challenge to create curricula that can accomplish these goals.Conservation principles tell us that if we continue with traditional approaches, we eitherhave to take things out of the curriculum or add time toward graduation. An alternative isto find more efficient learning experiences for students that enhance

Conference Session

Modeling Student Data

Collection

2010 Annual Conference & Exposition

Authors

Michael Dyrenfurth, Purdue University; Mike Murphy, Dublin Institute of Technology; Gary Bertoline, Purdue University

Tagged Divisions

Educational Research and Methods

cities is offered by RMIT in Australia.  http://www.rmit.edu.au/browse;ID=mnw9osj6o6x9;STATUS=A?QRY=global%20 university%20city%20index&STYPE=ENTIRE• Newsweek (weekly magazine) presents annually a listing of university ranks by subject (Art & Design College Rankings, Criminal Justice College Rankings, Education Programs College Rankings, Engineering College Rankings, Health & Nursing Programs College Rankings, IT & Computer Programming College Rankings, Law & Legal College Rankings, MBA & B-school Rankings, Music College Rankings, Pharmacist and Pharmacy Technician College Rankings, and Psychology College Rankings). In addition they list specialty rankings (Canadian University Rankings, Distance Learning &

Conference Session

Quantitative Research Methods

Collection

2017 ASEE Annual Conference & Exposition

Authors

Katherine M. Ehlert, Clemson University; Courtney June Faber, University of Tennessee; Marian S. Kennedy, Clemson University; Lisa Benson, Clemson University

Tagged Divisions

Educational Research and Methods

agreement between all four measures used to determine thenumber of clusters. The undulating nature of the CH index (Figure 1D) seems to indicate a smalltendency towards subgroups in this cluster solution. Because the intended purpose of our clusteranalysis is to select participants for follow-up interviews, these subgroups may become moreuseful in elucidating the differences between individuals within a larger cluster. B A C DFigure 1: Plots used to determine the ideal cluster solution using Ward’s

Conference Session

Special Session: Moving Towards the Intended, Explicit, and Authentic: Addressing Critical Misalignments in Engineering Learning within Secondary and University Education

Collection

2011 ASEE Annual Conference & Exposition

Authors

Kevin Anderson, University of Wisconsin, Madison; Sandra Shaw Courter, University of Wisconsin, Madison; Mitchell J. Nathan, University of Wisconsin, Madison; Amy C. Prevost, University of Wisconsin, Madison; Christine G. Nicometo, University of Wisconsin, Madison; Traci M. Nathans-Kelly, University of Wisconsin, Madison; Thomas Dean McGlamery, University of Wisconsin, Madison; Amy K. Atwood, University of Wisconsin, Madison

Tagged Divisions

Educational Research and Methods, K-12 & Pre-College Engineering, Liberal Education/Engineering & Society

that integrates thevideo, transcript text and codes. Classroom sessions were segmented into clips, and clipswere coded to reflect the points of interest noted in our research questions, in a mannersimilar to Nathan et al., 2009. Our coding framework delineated two dimensions that areespecially relevant here: A. Concepts mark engagement with “big ideas” from STEM, such as: modeling in engineering; force and work in science; and algebra in mathematics. We separately note whether math concepts are explicitly integrated for students during instruction. B. Skills address process-oriented tasks that are important for doing practical Page

Conference Session

Assessing Hard-to-Measure Constructs in Engineering Education: Assessment Design and Validation Studies

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Jiaqi Zhang, University of Cincinnati; P.K. Imbrie, University of Cincinnati

Tagged Divisions

Educational Research and Methods

, which may affectgeneralizability beyond the first year of college.Fourthly, the data included only two cohorts students that are not sufficient to detect generationalchanges over time. Data from more cohorts should be collected from a longitudinal perspective.Last but not least, while internal consistency reliability and construct validity focus on the SASIIII as a whole test, item response theory (IRT) should be employed to investigate how individualitems perform on the SASI III. Based on the IRT results, items with poor performance should beremoved without affecting the reliability and validity of the inventory.ReferencesAl-Sheeb, B. A., Hamouda, A., & Abdella, G. M. (2019). Modeling of student academic achievement in engineering

Conference Session

Educational Research

Collection

2009 Annual Conference & Exposition

Authors

Milo Koretsky, Oregon State University; Christine Kelly, Oregon State University; Philip Harding, Oregon State University; Edith Gummer, Northwest Regional Educational Laboratory

Tagged Divisions

Educational Research and Methods

. Wankat, P.C. and F.S. Oreovicz, Teaching Engineering. New York: McGraw-Hill, 1993.2. Koretsky, M.D., D. Amatore, C. Barnes, and S. Kimura (2008). Enhancement of Student Learning in Experimental Design using a Virtual Laboratory. IEEE Trans. Ed., 51, 76.3. Mosterman, P.J., M.A.M. Dorlandt, J.O. Campbell, C. Burow, R. Bouw, A.J. Brodersen, and J. Bourne (1994). Virtual Engineering Laboratories: Design and Experiments. Journal of Engineering Education, 83, 279.4. Kemeny, J. and B. Zeitler (2001). An online geomechanics course with a virtual rock lab based on streaming audio and vector graphics. Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition.5. Hodge, H., H.S. Hinton, and M. Lightner

Conference Session

Innovative Classroom Techniques

Collection

2006 Annual Conference & Exposition

Authors

Todd Johnson, Washington State University; Reid Miller, Washington State University

Tagged Divisions

Educational Research and Methods

: Josey-Bass.22. Tinto, V. (1997). Classrooms as communities: Exploring the educational character of student persistence. Journal of Higher Education, 68(6), 599-623.23. Wegerif, R. (1998). The social dimension of asynchronous learning networks. Journal of Asynchronous Learning Networks, 2(1), 34-49.24. Bess, K., Fisher, A., Sonn, C., & Bishop, B. (2002). Psychological sense of community: Theory, research and application. In A.T. Fisher, C.C. Sonn, & B. J. Bishop (Eds.), Psychological sense of community: Research, applications and implications (pp. 3-22). New York: Kluwer Academic.25. Astin, A. (1984). Student involvement: A developmental theory for higher education. Journal of College Student Personnel, 25, 297-308.26

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

strategies?Planning activities and visualization strategies had varying effects across problem type. Problem1 was a multi-phase problem with a large number of known values. Problem 2 required studentsto reproduce an equivalent circuit based on a set of constraints and utilized a different set ofknown values for parts A and B than for part C. Problem 3 was a total pressure problem thatrequired proper conversion between units to obtain the correct solution. Table 1 summarizes the Page 25.508.9observed effects for varying tasks across problems. Table 1: Summary of significant effects of planning and visualization

Conference Session

Research Methods II: Meeting the Challenges of Engineering Education Research

Collection

2016 ASEE Annual Conference & Exposition

Authors

Brent K. Jesiek, Purdue University, West Lafayette; Natascha Trellinger Buswell, Purdue University, West Lafayette; Andrea Mazzurco, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

February 2, 2016 from http://www.ccl.org/leadership/pdf/research/BoundarySpanningLeadership.pdf8. National Center for Education Statistics (NCES). (2002). Defining and assessing learning: Exploring competency-based initiatives (NCES 2002-159). Washington, DC: U.S. Department of Education.9. Jesiek, B. K., A. Mazzurco, N. Trellinger, & K. Ramane. (2015). Becoming boundary spanners in engineering: Identifying roles, activities, and competencies. Proceedings of the 2015 Frontiers in Education Conference, El Paso, TX, October 21-24, 2015.10. Foor, C. E., S. E. Walden, and D. A. Trytten. (2007). “I wish that I belonged more in this whole engineering group:” Achieving individual

Conference Session

Teaming & Collaborative Learning

Collection

2017 ASEE Annual Conference & Exposition

Authors

Hadas Ritz, Cornell University, College of Engineering; Lisa Schneider-Bentley, Cornell University, College of Engineering

Tagged Divisions

Educational Research and Methods

, and particularly forengineering undergraduates (Felder, Felder, and Dietz, 1998; Prince, 2004; Hake, 1998; Colbeck,Campbell, and Bjorklund, 2000; Johnson, Johnson, and Smith, 1998a,b; Springer, Stanne, andDonovan, 1999; Terenzini, 2001). The project was further informed by the positive learning andretention outcomes reported following curricular innovations to integrate math, science, andengineering content in undergraduate engineering programs at other institutions (Carr, 2003;Froyd and Ohland, 2005; Olds and Miller, 2004). The expected benefits for first-yearengineering students of the Engineering Math Workshops innovation include: a more thoroughunderstanding of the mathematical concepts in the core course; an enhanced ability

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

Productivity Paradox of Information Technology', Communications of the ACM, 36 (1993), 66-77.6 Colin Potts, 'Software-Engineering Research Revisited', Software, IEEE, 10 (1993), 19-28.7 Walt Scacchi, 'Managing Software Engineering Projects: A Social Analysis', Software Engineering, IEEE Transactions on (1984), 49-59.8 Walt Scacchi, and D Hurley, 'Understanding Software Productivity', Software Engineering and Knowledge Engineering: Trends for the Next Decade, 4 (1995), 273-316.9 Viljan Mahnic, 'A Capstone Course on Agile Software Development Using Scrum', Education, IEEE Transactions on, 55 (2012), 99-106.10 B Lakhanpal, 'Understanding the Factors Influencing the Performance of Software Development Groups

Conference Session

Research Methods

Collection

2018 ASEE Annual Conference & Exposition

Authors

Catherine G.P. Berdanier, Pennsylvania State University, University Park; Natascha Trellinger Buswell, University of California, Irvine; Zixuan (Victoria) Zhao, Purdue University

Tagged Divisions

Educational Research and Methods

. Socialization and the acquisition of professional discourse: A case study in the PR industry. Writ. Commun. 29, 7–32 (2011).9. Austin, A. E. Preparing the Next Generation of Faculty: Graduate School as Socialization to the Academic Career. J. Higher Educ. 73, 94–122 (2002).10. Duff, P. A. Language socialization into academic discourse communities. Annu. Rev. Appl. Linguist. 30, 169–192 (2010).11. Lea, M. R. & Street, B. Writing as academic literacies: Understanding textual practices in higher education. in Writing: Texts, Processes, and Practices (eds. Candlin, C. N. & Hydlan, K.) 62–81 (Longman, 1999).12. Johnson, E. M. Toward the building of a cross-disciplinary doctoral research and writing culture. J

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

grapple with ideas and questions using critical and creative thinking, • is engaging and satisfying to learners, and • results in evidence of worthwhile student production.20, p. 21Several of ABET’s criteria require this foundational curriculum. For example, • in Criterion 3 (Program Outcomes and Assessment), a) an ability to apply knowledge of mathematics, science, and engineering; • in Criterion 4 (Professional Component), a) one year of a combination of college level mathematics and basic sciences (some with experimental experience) appropriate to the discipline, and b) one and one-half years of engineering topics, consisting of engineering sciences and engineering design appropriate to the student’s field of

Conference Session

Student Learning

Collection

2010 Annual Conference & Exposition

Authors

Elizabeth Otto, Stanford University; Helen Chen, Stanford University; Sheri Sheppard, Stanford University

Tagged Divisions

Educational Research and Methods

APPLE/PIE surveys, the intrinsic psychological motivation variable is a modified versionof the intrinsic motivation subscale of the Situational Motivation Scale (SIMS) (Guay, Vallerand,and Blanchard, 2000)vi and is comprised of three survey items (questions)1: a) I feel good when I am doing engineering activities b) Majoring in engineering is fun c) I think engineering is interestingStudents were asked to indicate the extent to which they agreed that each of the items was areason why they were studying engineering, and they had the option to respond: “stronglydisagree,” “moderately disagree,” “disagree,” “unsure,” “agree,” “moderately agree,” and“strongly agree.” The Cronbach’s alpha statistic measures the internal

Conference Session

Curricular Innovations 1

Collection

2017 ASEE Annual Conference & Exposition

Authors

Nicole Johnson-Glauch, University of Illinois, Urbana-Champaign; Geoffrey L. Herman, University of Illinois, Urbana-Champaign

Tagged Divisions

Educational Research and Methods

tobuild our theory.2.1 Terminology, Concepts, and DiagramsFigure 1: Schematic of a) a rigid beam with a fixed joint and b) a section of the beam after a“cut” was made at x=6m (reaction force Ay was not present in the interview protocol but wasadded for clarity). Figure 1a represents applying equilibrium over the whole beam while 1brepresents applying equilibrium for a specific section of a beam after making an imaginary cut.Statics coursework involves analysis of beams (see Fig. 1a) that are affixed to surfaces via joints(fixed, pin, or roller). Students use schematics like in Fig. 1a to sketch what the shear force lookslike within the beam. Static problems refer to situations where the system is not acceleratingeither in translation or rotation

Conference Session

Educational Research and Methods Division (ERM) Best Paper Finalists

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

H. Ronald Clements III, Purdue University, West Lafayette; Brianna Benedict McIntyre, Purdue University, West Lafayette; Allison Godwin, Purdue University, West Lafayette; Jacqueline Ann Rohde, Purdue University, West Lafayette; Sherry Chen

Tagged Divisions

Educational Research and Methods

Paper ID #29189”Adversary or Ally”: Undergraduate Engineering Students’ Perceptions ofFacultyMr. H. Ronald Clements III, Purdue University H. Ronald Clements is a postbaccalaureate research assistant in the STRIDE lab at Purdue University and an incumbent graduate student for Purdue’s Engineering Education department for the 2020-2021 year. He works with Dr. Allison Godwin on her NSF CAREER grant titled ”Actualizing Latent Diver- sity: Building Innovation through Engineering Students’ Identity Development,” assisting with narrative analysis and interviews and helping to understand the identity trajectories of latently

Conference Session

Retention

Collection

2017 ASEE Annual Conference & Exposition

Authors

Niranjan Hemant Desai, Purdue University Northwest; George Stefanek, Purdue University Northwest

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

1 content, butprovided “just-in-time” review of related algebraic and trigonometric concepts, and spacedcalculus concepts further apart to make room for the pre-calculus concept review to beinterspersed throughout the course.It was found that students taking the extended Calculus 1 course had a slight advantage inpassing Calculus 2 and did so at a higher, but not statistically significantly higher rate. However,approximately 90% of students who earned a B in the extended Calculus 1 course passedCalculus 2 with a C or better, while only 82.4% of the students who earned a B in theconventional single-semester Calculus 1 course earned a C or better in Calculus 2. Therefore, itwas concluded that the two-semester extended Calculus 1 course seemed

Conference Session

Special Session: Impacts of Service in Engineering

Collection

2010 Annual Conference & Exposition

Authors

Linda Barrington, University of Massachusetts, Lowell; John Duffy, University of Massachusetts Lowell

Tagged Divisions

Educational Research and Methods

), (Learn andServe America, 2009). However, one of the earlier definitions is still widely accepted andcomprehensive: Service-learning is “a course based, credit-bearing, educational experience inwhich students (a) participate in an organized service activity that meets identified communityneeds and (b) reflect on the service activity in such a way as to gain further understanding ofcourse content, a broader appreciation of the discipline, and an enhanced sense of civicresponsibility." (Bringle & Hatcher, 1995). Note the three elements. To be defined as service-learning the activity must be in the context of a credit-bearing course, meet a real communityneed, and involve a reflection component

Conference Session

Instruments and Methods for Studying Student Experiences and Outcomes

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Adurangba Victor Oje, University of Georgia; Nathaniel Hunsu, University of Georgia; Peter H. Carnell, University of Georgia

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

. Täks, P. Tynjälä, M. Toding, H. Kukemelk, and U. Venesaar, "Engineering students' experiences in studying entrepreneurship," Journal of engineering education, vol. 103, no. 4, pp. 573-598, 2014.[10] S. Cassidy, "The Academic Resilience Scale (ARS-30): a new multidimensional construct measure," Frontiers in psychology, vol. 7, p. 1787, 2016.[11] G. Wagnild and H. Young, "Development and psychometric," Journal of nursing measurement, vol. 1, no. 2, pp. 165-17847, 1993.[12] B. W. Smith, J. Dalen, K. Wiggins, E. Tooley, P. Christopher, and J. Bernard, "The brief resilience scale: assessing the ability to bounce back," International journal of behavioral medicine, vol. 15, no. 3, pp. 194-200, 2008.[13] G

Conference Session

Persistence and Retention

Collection

2015 ASEE Annual Conference & Exposition

Authors

Edward J. Berger, Purdue University; Lisa Lampe, University of Virginia; Julie Innes Caruccio, University of Virginia

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

students appear in our dataset at a higher rate than their prevalence in theengineering population.Students served, parsed by academic major. Student demographics by major are shown in Table1, and it is clear that a few majors are over-represented in our dataset as compared to engineeringundergraduate population as a whole. We list the majors as Major A, B, C,… to protect theidentity of the faculty and staff within those majors. In particular, Major A students appear in ourdataset about 30% more than their prevalence in the overall population, and Major E students ata rate nearly double their representation in the overall population. It is not clear why Major Astudents would be over-represented in our dataset. However, Major E tends to attract

Conference Session

ERM Technical Session 22: Perspectives and Evaluation of Engineering Design Education

Collection

2019 ASEE Annual Conference & Exposition

Authors

Hadi Ali, Arizona State University, Polytechnic campus; Micah Lande, South Dakota School of Mines & Technology

Tagged Divisions

Educational Research and Methods

Engineering Design. Retrieved April 2018, from Presentations from the 2nd Learning Innovation Showcase, Institute for the Science of Teaching & Learning, Arizona State University: https://istl.asu.edu/presentations/scaffolded-prototyping-activities-product-based- learning-engineering-designShulman, L. S. (1986). Those who can understand: Knowledge growth in teaching. Educational Researcher, 15(2), 4–14.Songer, N. B., Kelcey, B., & Gotwals, A. W. (2009). How and When Does Complex Reasoning Occur? Empirically Driven Development of a Learning Progression Focused on Complex Reasoning about Biodiversity. Journal of Research in Science Teaching, 46(6), 610–631.