-timestudents and most (221) had begun college at their current institution. Self-reported grades were Page 14.1344.5above average, with over half of the respondents indicating that most of their grades were eitherA or A-. Less than 4% of the respondents indicated that most of their grades were lower than B-.The expected graduation dates of the students varied, although 19.5% indicated a Spring 2010date and 22.6% indicated Spring 2011 date. In addition, 13.4% indicated a Spring 2009 date and11.9% indicated they would graduate in Spring 2012. Because the student data in prioradministrations of the E-NSSE was not analyzed, an exploratory factor analysis is
AC 2008-1113: USING CALIBRATED PEER REVIEW AS A TEACHING TOOLFOR STRUCTURAL TECHNOLOGY IN ARCHITECTUREAnne Nichols, Texas A&M University Dr. Nichols is an Assistant Professor of Architecture at Texas A&M University. She teaches structural analysis, design, and planning at the undergraduate and graduate level. She is a civil engineer with research interests in the structural mechanics and modeling of masonry and cement materials. Page 13.1331.1© American Society for Engineering Education, 2008 Using Calibrated Peer Review as a Teaching Tool for Structural
Paper ID #9938Issues Surrounding a Heutagogical Approach in Global Engineering Educa-tionDr. Yakut Gazi, Texas A&M University In her 20 years of experience as an instructional designer, media specialist, IT consultant, faculty mem- ber, and technology leader, Dr. Yakut Gazi has worked at higher education institutions in the US, Qatar, Turkey, and Spain. Prior to joining TAMU Engineering as the Assistant Vice Chancellor for Engineering Remote Education in September 2013, she led the distributed learning and classroom technology oper- ations at Texas A&M University-Central Texas and worked at A&M’s branch
Paper ID #29215Integrating Evidence-Based Learning in Engineering and Computer ScienceGateway CoursesDr. Xiang Zhao, Alabama A&M University Dr. Xiang (Susie) Zhao, Professor in the Department of Electrical Engineering and Computer Science at the Alabama A&M University, has over 20 years of teaching experience in traditional on-campus settings or online format at several universities in US and aboard. Her teaching and research interests include numerical modeling & simulation, high performance algorithm design, data mining, and evidence-based STEM teaching pedagogies. Her recent research work has been funded by DOE
according to certain ideas studentsexpressed. Later for each cluster, facets were organized as: (a) appropriate or acceptableunderstanding for introductory physics, (b) arising from formal instruction, but eitherovergeneralized or undergeneralized in application, or (c) more problematic and needinginstructional intervention to prevent student difficulty with the cluster or ideas in relatedclusters.7 In summary, Minstrell recommends the use of qualitative research strategies, such asopen-ended interviews, focus groups, or think-alouds, to diagnose students’ misconceptions.Fusion ModelThe Fusion Model is a statistical technique that models student response behavior by both abinary attribute (mastery or non-mastery) and a continuous attribute (mastery
Alignment of the SCAEI a. Strong Alignment - The item’s content ALIGNS STRONGLY with the indicated content domain (passive, active, constructive, or interactive). b. Acceptable Alignment - The item’s content ALIGNS with the indicated content domain (passive, active, constructive, or interactive). c. Insufficient Alignment - The item’s content ALIGNS SLIGHTLY with the indicated content domain (passive, active, constructive, or interactive), but other domains are more appropriate. d. No Alignment - The item’s content DOES NOT ALIGN with the indicated content domain (passive, active, constructive, or interactive). e. Unable to Judge – The item’s content is TOO DIFFICULT TO JUDGE its alignment to
additional skills? Which skills? 4. What do you think is missing from your preparation to get a job and be successful in [industry/government/academia]? 5. How and where have you been getting useful information on different possible career paths? a. Have you discussed these career plans with your advisor, other faculty, or people who work in industry or government? b. Has your Individual Development Plan (IDP) helped you articulate your goals to others and identify what you need to get there? If so, in what ways? 6. Did you complete an internship? If so, how has that increased your understanding of skills needed to gain full-time employment there
difference in word count between promptsreduced as the quarter proceeded. We speculate the students may have started to pay lessattention to the instructions as they became familiar with both prompts. Alternatively,data from earlier in the term may simply be anomalous. To further probe differences inresponses from the prompts we qualitatively analyzed data from early in the term,described next.Coding AnalysisReflection responses from Weeks 2 and 5 were coded using definitions from Tables 1-3.An overview of the responses in the form of word clouds21 is shown in Figure 2. a. Muddiest Point – Week 2 b. Most Surprised – Week 2 c. Muddiest Point – Week 5 d. Most Surprised – Week 5Figure 2. Word clouds of
of publications. While care must be taken in drawing inferences about the role ofreflection in engineering education based on the number of research publications, the limitednumber does suggest opportunities for more investigation of the issue. In the next section, wediscuss how the framework presented earlier can be useful in thinking about such investigation.Researching and supporting reflectionIn engineering education, there is opportunity to explore questions such as (a) what opportunitiesfor reflection might students already have, (b) what could be done to help students have moreopportunities for reflection, and (c) what could be done to support students in engaging inreflection? In this section, we address such questions via a
[1] President’s Council of Advisors on Science and Technology, “Engage to excel: Producing one million additional college graduates with degrees in science, technology, engineering, and mathematics,” Science (80-. )., vol. 2, p. 130, 2012.[2] B. E. . 1960- Lovitts, Leaving the ivory tower : the causes and consequences of departure from doctoral study. Lanham : Rowman & Littlefield, 2001.[3] R. Sowell, J. Allum, and H. Okahana, Doctoral initiative on minority attrition and completion. Washington, DC, 2015.[4] A. Godwin, “The Development of a Measure of Engineering Identity,” 123rd Am. Soc. Eng. Educ. Annu. Conf. Expo., p. 15, 2016.[5] J. C. Hilpert, J. Husman, G. S. Stump, W. Kim, W. T. Chung
, which include identifiable information (name, email address) alongside CATME s PersonID, hich is used to track student data in deidentified form. Our IRB permits this re-association of deidentified data with instructor consent. 5. We then prioritized cases for review by aligning the magnitude and sense of the 3 team process measurement scales: a. Satisfaction is a positive construct relating to how satisfied a student is with their current group of teammates, and is measured on a scale from 1-5. It was shifted to a -2 to +2 scale by subtracting 3, then normalized to a -1 to +1 scale. b. Conflict is a negative construct relating to how much conflict is occurring in a team
approaches. Learning and Individual Differences. 24, 117-125.Pajares, F., & Miller, M. D. (1995). Mathematics Self-Efficacy and Mathematics Performances. Journal of Counseling Psychology, 42(2), 190-198.Poropat, A. E. (2009). A Meta-Analysis of the Five-Factor Model of Personality and Academic Performance. Psychological Bulletin, 135(2), 322-338.Robbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004). Do Psychosocial and Study Skill Factors Predict College Outcomes? Psychological Bulletin, 130(2), 261-288.Vuong, M., Brown-Welty, S., Tracz, S. (2010). The effects of self-efficacy on academic success of first-generation college sophomore students. Journal of College Student Development. 51(1), 50-64
engineering education.Dr. Cynthia J. Atman, University of Washington Cynthia J. Atman is the founding director of the Center for Engineering Learning & Teaching (CELT), a professor in Human Centered Design & Engineering, and the inaugural holder of the Mitchell T. & Lella Blanche Bowie Endowed Chair at the University of Washington. Dr. Atman is co-director of the newly-formed Consortium for Promoting Reflection in Engineering Education (CPREE), funded by a $4.4 million grant from the Leona M. and Harry B. Helmsley Charitable Trust. She was director of the NSF-funded Center for the Advancement of Engineering Education (CAEE), a national research center that was funded from 2003-2010. Dr. Atman is the author
the wall that is dominated by counterions of opposite charge to the fixed wallcharges. When an electric field is applied, these counterions and the water moleculesassociated with them are pulled uniformly toward the oppositely charged electrode. Thisdrags the fluid along in a flat velocity profile. Note that the length scale of the Debyelayer is on the order of hundreds of nanometers and the channel diameters are on theorder of tens of microns or less.Figure 1: Schematic of the surface chemical groups of a fused silica capillary in contactwith a) air, b) an electrolyte, and c) an electrolyte and a remotely applied DC electricfield.Figure 1 assumes an ideal, uniformly charged channel wall. However, the Debye layer isa function of electrolyte
grantEEC1519438. Any opinions expressed in this paper are those of the authors and are not those ofthe National Science Foundation.References[1] “STEM Attrition: College Students’ Paths Into and Out of STEM Field, Statistical AnalysisReport.” U.S. Department of Education report, NCES 2014-00, 2014.[2] T. Chen, A. A. Maciejewski, B. Notaros, A. Pezeshki, and M. D. Reese, “Mastering the CoreCompetencies of Electrical Engineering through Knowledge Integration”, 123rd ASEE AnnualConference & Exposition, June 26 - 29, 2016, New Orleans, LA.[3] N. Raisman, “The Cost of College Attrition at Four-Year Colleges and Universities.”February (2013): HTTP://www.educationalpolicy.org. The Educational Policy Institute, Feb.2013. Web. Nov. 2014[4] Peter A. Daempfle
capturea variety of issues around reflection and used the protocol as the foundation for single, hour-long, open-ended conversations with participants. The interview protocol consisted of questionsthat invited participants to (a) talk about their understandings of reflection, (b) create a“reflective inventory” where we asked each student to share stories of engagements they hadwith reflection (both in school and out of school), (c) share their thoughts related to technology,and (d) share their impressions about possible reactions undergraduate might have to reflectionactivities.We interviewed six full-time undergraduate students, five from a research university (which werecruited via a listserv that reaches technically oriented students) and a
investigation”, In The Workshop project newsletter. Progressions: Peer-led team learning, vol. 1, no. 3, p. 1, 2000.[8] B. A. Robbins, E. C. Johnson, and M. C. Loui, “What Do Students Experience as Peer Leaders of Learning Teams?”, Advances in Engineering Education, vol. 4, no. 4, 2015.[9] S. Hug, H. Thiry, and P. Tedford, “Learning to love computer science: Peer leaders gain teaching skill, communicative ability and content knowledge in the CS classroom”, in Proceedings of the 42nd ACM technical symposium on Computer science education, Mar 2011, pp. 201-206.[10] J. L. Alberte, A. Cruz, N. Rodriguez, and T. Pitzer,. “The PLTL leader boost”, In Proceedings of the Peer-led Team Learning International Society Inaugural Conference, May
AC 2012-3418: GRADUATE STUDENTS MENTORING UNDERGRADU-ATES IN RESEARCH: ATTITUDES AND REFLECTIONS ABOUT THESEEXPERIENCESMs. Janet Y. Tsai, University of Colorado, Boulder Janet Y. Tsai is a doctoral student at the University of Colorado, Boulder, whose work examines and develops initiatives and curricular innovations to encourage more students, especially women, into the field of engineering. In addition to assessing peer mentoring programs, Tsai also explores teaching engi- neering statics through tangible sensations in the body, to feel and understand forces, moments, couples, equilibrium, and more via internal constructs instead of the conventional external examples.Dr. Daria A. Kotys-Schwartz, University of Colorado
2cm to 4cm. Students were also provided with a set of experimental data for spectralirradiance for a single line of LEDs with height set at 1cm and 2cm and spacing set at 2cm and4cm. Figure 5 shows an example of the model output along with the experimental data that wasprovided to students. a) b)Figure 5 – a) An example of model output and b) an example of experimental data, bothprovided in the student worksheet.Students were then asked whether the experimental data validated the mathematical model.Ideally, we expected students to say either yes or no, and then provide some justification for theiranswer. Table 7 summarizes the students‟ responses
.). Thousand Oaks, CA: Sage.15. Tedlock, B. (2000). Ethnography and ethnographic representation. In N.K. Denzin & Y. W. Lincoln (Eds.), Handbook of Qualitative Research (pp. 455-486). Thousand Oaks, CA: Sage.16. Mejia, J. A., Wilson-Lopez, A., Hasbum, I., & Householder, D. (2014). Funds of knowledge in Hispanic students’ communities and households that enhance engineering design thinking. In Proceedings of the 2014 American Society for Engineering Education (ASEE) Annual Conference. Indianapolis, IN.17. Mejia J.A., & Wilson-Lopez, A.A. (2016). Sociocultural Analysis of Engineering Design: Latino High School Students' Funds of Knowledge and Implications for Culturally Responsive Engineering Education. In S. Marx (Ed
Paper ID #11873Levels of Social Network Analysis and Small Team Problem Solving in theClassroomDr. Peter A Simon, Carnegie Mellon University B.S. Civil Engineering, Carnegie Mellon University, Held position of undersea pipeline engineer for in- ternational commercial diving company. M.S. Civil Engineering, Texas A&M University, Ph.D. Civil Engineering, Carnegie Mellon University. Prior to academic work, worked as a commercial oilfield diver in Persian Gulf and South China Sea.Dr. Susan Finger, Carnegie Mellon University Susan Finger is a Professor of Civil and Environmental Engineering at Carnegie Mellon University
Paper ID #34119Remote and Hybrid Learning Environments: A Case for Promoting StudentEngagementDr. Cijy Elizabeth Sunny, Baylor University Dr. Cijy Elizabeth Sunny is a PD Research Associate in the Department of Information Systems and Business Analytics, Hankamer School of Business at Baylor University. She is a research methodologist and psychometrician who has applied her skills in quantitative and mixed methods research methodology in the substantive areas of STEM education research, medical education, and more recently in engineering education. Additionally, she has been an educator and has taught primarily physics and
Paper ID #34325Exploring the Effects of a Targeted Program on Student Social CapitalDr. Anastasia Marie Rynearson, Campbell University Anastasia Rynearson is an Assistant Professor at Campbell University. She received a PhD from Purdue University in Engineering Education and a B.S. and M.Eng. in Mechanical Engineering at the Rochester Institute of Technology. Her teaching experience includes outreach activities at various age levels as well as a position as Assistant Professor in the Mechanical Engineering Department at Kanazawa Technical College and Future Faculty Fellow teaching First-Year Engineering at Purdue
AC 2007-2600: WHAT MAKES A SUCCESSFUL SERVICE LEARNING PROJECTFOR FRESHMAN ENGINEERSLaura Lund, University of PittsburghDan Budny, University of Pittsburgh Page 12.1606.1© American Society for Engineering Education, 2007 What makes a successful Service Learning Project for Freshman EngineersAbstractService learning can be a valuable educational tool for freshman engineers which helps todevelop their sense of value and direction, teaches team dynamics and professionalcommunication skills, and engages the students in the community surrounding their university.A fundamental challenge in developing a successful and rewarding experience for
AC 2007-1680: TEACHING CHEMISTRY AS A CROSS-CULTURAL SUBJECT : IT& LINGUISTICSMargherita Landucci, Liceo Artistico StataleFabio Garganego, Municipality of Venice Page 12.1349.1© American Society for Engineering Education, 2007 Teaching Chemistry as a Cross-cultural Subject IT & LinguisticsAbstractThe main theme of this paper is the language of chemical formulae rather than the languagethat explains chemistry; the focus of our interest is the code used in writing chemicalformulae.The paper describes the nature and scope of a research project started by an out-of-schoolmultidisciplinary team who set up in 1993 and concluded
AC 2008-1348: APPLYING "CULTURAL CONSENSUS ANALYSIS" TO ASUBGROUP OF ENGINEERING EDUCATORSSusan Lord, University of San Diego Susan M. Lord received a B.S. from Cornell University and the M.S. and Ph.D. from Stanford University. She is currently Professor and Coordinator of Electrical Engineering at the University of San Diego. Her teaching and research interests include electronics, optoelectronics, materials science, first year engineering courses, as well as feminist and liberative pedagogies. Dr. Lord served as General Co-Chair of the 2006 Frontiers in Education Conference. She has been awarded an NSF CAREER and ILI grants. She is currently working on a collaborative NSF-funded Gender in
AC 2009-995: THE DESIGN LANDSCAPE: A PHENOMENOGRAPHIC STUDY OFDESIGN EXPERIENCESShanna Daly, University of Michigan Page 14.1189.1© American Society for Engineering Education, 2009 The Design Landscape: A Phenomenographic Study of Design ExperiencesKey Words: design, phenomenography, professional experiencesAbstractDesign is central to engineering education and practice. Thus, it is important toinvestigate aspects of design that can be applied to facilitate engineers in becoming betterdesigners. Designers’ experiences impact their views on design, which then impact theways they approach a design task. Design approach then impacts new
AC 2009-1749: CULTURALLY-RELEVANT SCIENCE CURRICULUM - EFFORTSIN A SECONDARY SCHOOL - UGANDAAlexandre Probst, Colorado School of MinesAarthi Krishnaswamy, Colorado School of MinesVinita Singh, Colorado School of MinesBarbara Moskal, Colorado School of MinesCyndi Rader, Colorado School of Mines Page 14.391.1© American Society for Engineering Education, 2009 Culturally-Relevant Science Curriculum: Efforts in a Secondary School, Uganda, Africa Key Words: Culturally-relevant, simulated, laboratory, learner-centered Abstract This paper describes the design of a simulated science laboratory experiment which has
AC 2009-2186: PREPARING ENGINEERS FOR GLOBAL WORKFORCES: ARESEARCH UNIVERSITY’S RESPONSEGisele Ragusa, University of Southern California Page 14.974.1© American Society for Engineering Education, 2009 1 Preparing Engineers for Global Workforce: A Research University’s Response Gisele Ragusa, Ph.D. Associate Professor University of Southern California, Viterbi School of Engineering
AC 2009-2195: DEVELOPING A STANDARD STUDENT INTERFACE FORONLINE COURSES THROUGH USABILITY STUDIESRenee Butler, Southern Polytechnic State UniversityChristina Scherrer, Southern Polytechnic State University Page 14.445.1© American Society for Engineering Education, 2009 Developing a Standard Student Interface for Online Courses through Usability StudiesAbstract – In recent years there has been significant growth in the popularity and offering ofonline education. Due to limited availability of instructional designers and developmentresources, faculty are often called upon to develop the content, learning strategies, and userinterface for online