Paper ID #15239A Two-Dimensional Typology for Characterizing Student Peer and Instruc-tor Feedback in Capstone Design Project CoursesDr. Ada Hurst, University of Waterloo Ada Hurst is a Lecturer in the Department of Management Sciences at the University of Waterloo. She has taught and coordinated the capstone design project course for the Management Engineering program since 2011. She also teaches courses in organizational behavior, theory, and technology. She received a Bachelor of Applied Science in Electrical Engineering, followed by Master of Applied Science and Doctor of Philosophy degrees in Management Sciences
Paper ID #27504The Social and Conceptual Function of Uncertainty in Open-Ended Project-Based LearningColin Dixon, Concord Consortium Colin Dixon holds a Ph.D. in Learning & Mind Sciences from the University of California, Davis. He researches the development of STEM practices and agency among young people creating things to use and share with the world. He writes about equity and identity in making and engineering, the role of community in science learning, and how youth leverage interests and experiences within STEM education.Prof. Lee Michael Martin, University of California, Davis Lee Martin studies people’s efforts
2006-637: PREPARING NEW FACULTY MEMBERS TO BE SUCCESSFUL: ANO-BRAINER AND YET A RADICAL CONCEPTRebecca Brent, Education Designs Inc. REBECCA BRENT, Ed.D. (rbrent@mindspring.com) is President of Education Designs, Inc., a consulting firm in Cary, North Carolina. Her interests include faculty development in the sciences and engineering, support programs for new faculty members, preparation of alternative licensure teachers, and applications of technology in the K-12 classroom. She was formerly an associate professor of education at East Carolina University. She is co-director of the ASEE National Effective Teaching Institute.Richard Felder, North Carolina State University RICHARD M
Paper ID #19123Cultivating Evidence-Based Pedagogies in STEM EducationDr. Bugrahan Yalvac, Texas A&M University Bugrahan Yalvac is an associate professor of science and engineering education in the Department of Teaching, Learning, and Culture at Texas A&M University, College Station. He received his Ph.D. in science education at the Pennsylvania State University in 2005. Prior to his current position, he worked as a learning scientist for the VaNTH Engineering Research Center at Northwestern University for three years. Yalvac’s research is in integrated STEM education, implementation of evidence-based pedagogies
willing to give their teammates low peerevaluations12.All of the methods tried thus far were based entirely on peer evaluations and have been relativelytime consuming for the instructors. With this in mind, we sought out an automated method that isnot based on peer evaluations to help the instructors determine if an adjustment to an individual’sgrade was necessary.MethodsSamplingThe grade adjustment method presented in this paper was evaluated using an introductoryfreshmen engineering course (ENGR 100) at the University of Nevada, Reno. The course is arequired multi-disciplinary first-year engineering course that is taken by all engineering majorsand was developed with funding from the William and Flora Hewlett Foundation13. This courseis taught
Paper ID #12976Improving Students’ Technical Writing Skills: Abstracts in Introductory SolidMechanicsKai Jun Chew, Stanford University Designing Education Lab Kai Jun (KJ) Chew is a second year Master student majoring in Mechanical Engineering at Stanford University. Born and raised in Malaysia, KJ received his Bachelor of Science in Mechanical Engineering at the University of Southern California (USC). Though he did not have a specific concentration at his undergraduate level, he is interested in working in the field of solid mechanics and engineering education. He has been working on improving students’ technical
AC 2008-2439: HOW ACCURATE IS STUDENTS’ SELF-ASSESSMENT OFCOMPUTER SKILLS?Michael Collura, University of New HavenSamuel Daniels, University of New Haven Page 13.671.1© American Society for Engineering Education, 2008 How Accurate is Students’ Self-Assessment of Computer Skills? AbstractSelf-evaluation by students is commonly used as a key element in program and courseassessment plans. Such instruments are intended to provide crucial feedback for programimprovement and thus play a significant role in closing our assessment loop. For many of theprogram outcomes, self-assessment by current students and graduates augments other
. Bransford, J., A. Brown, and R. Cocking, eds. How People Learn: Brain, Mind, Experience, and School. Expanded ed. 2003, National Academy Press: Washington, DC.7. Streveler, R., et al., Learning Conceptual Knowledge in the Engineering Sciences: Overview and Future Research Decisions. Journal of Engineering Education, 2008. 97(3): p. 279-294.8. Nentwig, P., et al., Chemie im Kontext: Situating Learning in Relevant Contexts while Systematically Developing Basic Chemical Concepts. JOURNAL OF CHEMICAL EDUCATION, 2007. 84(9).9. Prince, M. and R. Felder, Inductive Teaching and Learning Methods: Definitions, Comparisons, and Research Bases. JOURNAL OF ENGINEERING EDUCATION-WASHINGTON-, 2006. 95(2): p. 123.10
. Page 26.1731.13References 1. Kaplan, M., Silver, N., Lavaque-Manty, D., & Meizlish, D. (2013). Using reflection and metacognition to improve student learning: Across the disciplines, across the academy. Sterling, VA: Stylus Publishing. 2. Bransford, J., A. Brown, and R. Cocking. How People Learn: Brain, Mind, Experience and School. Washington, D.C.: Commission on Behavioral and Social Science and Education, National Research Council. 2000. 3. Consortium to Promote Reflection in Engineering Education, http://depts.washington.edu/celtweb/cpree/, accessed 02.01.2015 4. Mosteller, F. (1989). The “muddiest point” in lecture as a feedback device. On Teaching and Learning: The Journal of the
Paper ID #19292Early Validation of the Motivation in Team Projects (MTP) AssessmentDr. Peter Rogers, The Ohio State University Dr. Peter Rogers is a Professor of Practice in the Department of Engineering Education at The Ohio State University. He joined the university in October 2008 bringing with him 35 years of industry experience. His career includes senior leadership roles in engineering, sales, and manufacturing developing products using multidisciplinary teams to convert customer needs to commercially viable products and services. Rogers co-led the development of an ABET-approved year-long Capstone design experience
for an Online Self and Peer Assessment System,” in Per Learning in Higher Education, D. Boud, R. Cohen, and J. Sampson, eds, Kogan Page Limited, London, 2001, pp.156-169.2. Bransford, J.D., Brown, A.L., and Cocking, R.R., eds., How People Learn: Brain, Mind, Experience, and School, National Academy Press, Washington, DC, 1999.3. Mazur, E, Peer Instruction: A User’s Manual, Prentice Hall, Upper Saddle River, NJ, 1997.4. Mason, R.L., Gunst, R.F. and Hess, J.L. Statistical Design and Analysis of Experiments, with Applications to Engineering and Science, Wiley Series in Probability and Mathematical Statistics, New York, 1989.5. Mehta, S.I., “A Method for Instant Assessment and Active Learning,” J. of Engr. Educ., 84:295, 1995.6. Chen, J
Paper ID #34071Survey Design for Evaluating Student Interaction in Face-to-Face andOnline Learning EnvironmentMr. Jaskirat Singh Batra, Texas A&M University Jaskirat Singh Batra is a Ph.D. candidate in Materials Science and Engineering at Texas A&M University. He received M.S. in Electrical Engineering from Texas A&M University, College Station, TX and B.S. in Engineering Science from Trinity University, San Antonio, TX. He is actively involved in research (both disciplinary and engineering education), teaching and mentoring. He has 4 years of experience in engineering education research. Previously
of person characteristics, proximal process,contextual influences, and time effects. With this philosophical perspective in mind, a mixed-methods design was implemented to measure change in student understanding of (and interest in)science, engineering, and medicine, as well as their knowledge of tissue engineering andregenerative medicine.Camp DescriptionThe summer camp originated as part of the Education and Outreach activities of an EngineeringResearch Center (ERC) awarded by the National Science Foundation. The development andrefinement of this summer camp was been guided by this ERC's Education and Outreach vision:to train future engineers for industry, research and development in a multidisciplinaryenvironment that values diversity of
AC 2010-1953: REPRESENTATIONS OF STUDENT MODEL DEVELOPMENT INVIRTUAL LABORATORIES BASED ON A COGNITIVE APPRENTICESHIPINSTRUCTIONAL DESIGNKendra Seniow, Oregon State University Kendra Seniow is an undergraduate student in Chemical Engineering, the University Honors College, and the International Studies Programs at Oregon State University. In pursuit of her University Honors College and International degrees, she is investigating student teams’ use of models during completion of the BioReactor Virtual Laboratory project, how similar educational principles can be applied to international development projects and how participation in both these authentic activities helps develop stronger
classes at college and university level: challenges and opportunities. Teaching in Higher Education, 15(2), pp. 175-185, 2010. https://doi.org/10.1080/13562511003620001.[3] P. Ramsden, Learning to teach in higher education. 2nd ed., London: Routledge Falmer, 2003.[4] R. Graham, The global state of the art in engineering education. Cambridge, MA: Massachusetts Institute of Technology, New Engineering Education Transformation, 2018.[5] P. Rajalingam, J. I. Rotgans, N. Zary, M. A. Ferenczi, P. Gagnon and N. Low-Beer, Implementation of team-based learning on a large scale: Three factors to keep in mind. Medical teacher, pp. 1-7, 2018.[6] M. M. Gross, M. C. Wright and O. S. Anderson, Effects of image‐based and text‐based active learning
Paper ID #30975Assess Experiential Learning OutcomesTania K. Morimoto, University of California San Diego Tania K. Morimoto received the B.S. degree from Massachusetts Institute of Technology, Cambridge, MA, in 2012 and the M.S. and Ph.D. degrees from Stanford University, Stanford, CA, in 2015 and 2017, respectively, all in mechanical engineering. She is currently an Assistant Professor of mechanical and aerospace engineering and an Assistant Professor of surgery with University of California, San Diego. Her research interests include robotics, haptics, and engineering education.Prof. Nathan Delson, UC San Diego Nathan
AC 2007-412: INDIVIDUALIZED FORMATIVE ASSESSMENT IN ONLINEMODULE IMPROVES LEARNING OF GLOMERULAR FILTRATIONSarah Henrickson, Harvard UniversityRumi Chunara, Massachusetts Institute of TechnologyIahn Cajigas, HST Division, Harvard and MITHeather Gunter, HST Division, Harvard and MITJoseph Bonventre, HST Division, Harvard and MIT Page 12.883.1© American Society for Engineering Education, 2007 Individualized Formative Assessment in Online Module Improves Learning of Glomerular FiltrationABSTRACTWhile capillary filtration is a fundamental physiology topic, students report that this material is difficult tomaster. In addition, overall exam performance
Demonstrating how sheathing prevents out of plane buckling Figure 6: 1 of 30 additional beams featuring the living hinge pattern used in the project from Figure 5DiscussionProfessor SupportDuring both interviews, Dr. Cook shared with researchers that she could not do this specificproject without the aid of a TA. That TA was funded with the grant she received from themakerspace. With the benefits of incorporating makerspace projects into courses in mind,institutions that aim to improve student outcomes through makerspace use should supplyfinancial support. There is a large quantity of funding and backing aimed at makerspaces as theygain popularity in engineering institutions across the country, but this is usually designated forequipment and
College Press. 8. Volkema, R. J. (1983) Problem Formulation in Planning and Design, Management Science, Vol. 29, No. 6, pp. 639-652. 9. Clement, J., Lochhead, J., Monk, G. S. (1981). Translation Difficulties in Learning Mathematics. The American Mathematical Monthly, Vol. 88, No. 4., pp. 286-290. 10. Ryan, S. M., J. K. Jackman, R. R. Marathe, P. Antonenko, P. Kumsaikaew, D. S. Niederhauser and C. A. Ogilvie (2007). Student selection of information relevant to solving ill-structured engineering economic decision problems. Proceedings of 2007 Conference of the American Society for Engineering Education, Honolulu, Hawaii. 11. Vygotsky, L.S. (1978). Mind and society: The development of higher mental processes
AC 2008-1196: EFFECTS OF SUPPLEMENTAL LEARNING OPPORTUNITIESDESIGNED TO ENGAGE DIFFERENT LEARNING STYLESKay C Dee, Rose-Hulman Institute of Technology Kay C Dee is an Associate Professor of Applied Biology and Biomedical Engineering, and the Founding Director of the Center for the Practice and Scholarship of Education at Rose-Hulman Institute of Technology. She is primarily responsible for the experimental design and analyses reported in this paper. Her educational research interests include learning styles and student evaluations of teaching. She has received a number of honors for her teaching, including the opportunity to serve as the 2003 Fellow at the National Effective Teaching
Paper ID #19598Student Perceptions on Learning - Inside and Outside ClassroomsMiss Sreyoshi Bhaduri, Virginia Polytechnic and State University Sreyoshi Bhaduri is a Ph.D. candidate at Virginia Tech Department of Engineering Education. She is a proponent for use of technology in the classroom as well as education research. Sreyoshi is a Mechanical Engineer by training, who likes programming and algorithms to make life easier and more efficient. For her doctoral dissertation, she is exploring ways in which machine learning algorithms can be used by instructors in engineering classrooms.Dr. Holly M. Matusovich, Virginia
AC 2009-1635: INSIGHTS INTO THE PROCESS OF PROVIDING FEEDBACK TOSTUDENTS ON OPEN-ENDED PROBLEMSMonica Cardella, Purdue University Monica Cardella is an Assistant Professor of Engineering Education at Purdue University. She received her B.S. in Mathematics from the University of Puget Sound and her M.S. and Ph.D. in Industrial Engineering from the University of Washington. She teaches in the First-Year Engineering Program at Purdue as well as the Interdisciplinary Engineering program. Her research interests include engineers' uses of mathematical thinking in conceptual design as well as qualitative research in engineering education.Heidi Diefes-Dux, Purdue University Heidi Diefes-Dux is an
Paper ID #6432Investigating the Impact of Model Eliciting Activities on Development of Crit-ical ThinkingDr. James A. Kaupp, Queen’s University Researcher and Adjunct Professor (Msc ’06, PhD ’12) at Queen’s University, Kingston, Ontario, Canada in the Faculty of Engineering and Applied Science. Educational research interests include engineering education development, critical thinking & problem solving, outcomes based assessment and interactive learning through technology. Scientific interests include regenerative medicine, tissue and biomedical engineering and human biomechanics.Dr. Brian M Frank P.Eng., Queen’s
valley and broaden the use of evidence-based practices in engineering classrooms. In the majority of cases, these efforts are focused on particular interventions, e.g. encouraging instructors to incorporate in-class group problem solving or to use a particular technology tool3. While the particular intervention may prove useful for some instructors and some courses, it is not always chosen with the needs or challenges of the instructor in mind. We argue that efforts to broaden use of innovative instructional techniques can be more successful when faculty have ownership of how change is implemented in their classes (rather than having strategies mandated). Higher education faculty members do have significant autonomy in their teaching, and we
AC 2011-1428: PRELIMINARY ANALYSIS OF REPEATED TESTING ASA METHOD TO ENHANCE LONG-TERM RETENTION OF KNOWL-EDGEPaul M. Santi, Colorado School of Mines Paul Santi is a professor of Geology and Geological Engineering at the Colorado School of Mines. He has 16 experience teaching at the university level and 6 years experience in the geotechnical and environmental consulting industry. He obtained a B.S. in Geology and Physics from Duke University, an M.S. in Geology from Texas A&M University, and a Ph.D. in Geological Engineering from the Colorado School of Mines. His research areas include ways to enhance learning in the field of geological engineering, as well as understanding and mitigation of natural hazards
AC 2007-3122: EVALUATING THE EFFICIENCY OF CANDIDATES FORGRADUATE STUDY VIA DATA ENVELOPMENT ANALYSISElif Kongar, University of Bridgeport Elif Kongar received her BS degree from the Industrial Engineering Department of Yildiz Technical University, Istanbul, Turkey, in June 1995. In June 1997, she received her MS degree in Industrial Engineering from the same university where, she was awarded full scholarship for graduate studies in the USA. She started the graduate program in Mechanical, Industrial and Manufacturing Engineering at Northeastern University, Boston, Massachusetts, USA in September 1998 and obtained her Ph.D. degree in June 2003. She has been a research associate in the
AC 2010-26: IMPROVING TEAM PERFORMANCE: THE COGNITIVE STYLEFACTORJoanna DeFranco, Pennsylvania State University Joanna F. DeFranco is an Engineering faculty member at Penn State University. She earned her B.S. in Electrical Engineering and Math from Penn State, M.S. in Computer Engineering from Villanova, and earned her Ph.D. in Computer and Information science from New Jersey Institute of Technology. Previous to entering academia, Dr. DeFranco held a number of positions in industry and government, including software engineer for Motorola in Horsham, PA and an Electronics Engineer for the Naval Air Development Center in Warminster, PA. She has published a number of articles in journals and
Paper ID #11440Knowledge Transfer of Evidence-Based Instructional Practices in FacultyCommunities of PracticeDr. Kari L. Jordan, Embry-Riddle Aeronautical Univ., Daytona BeachDr. James J. Pembridge, Embry-Riddle Aeronautical Univ., Daytona BeachSarah Anne WilliamsDr. Heidi M Steinhauer, Embry-Riddle Aeronautical Univ., Daytona BeachDr. Timothy A Wilson, Embry-Riddle Aeronautical Univ., Daytona BeachDr. Douglas Holton, Embry-Riddle Aeronautical Univ., Daytona Beach Page 26.1051.1 c American Society for Engineering Education, 2015
Paper ID #6138Developing an Instrument to Measure Motivation, Learning Strategies andConceptual ChangeMs. Rachel McCord, Virginia Tech Rachel McCord is a second year graduate student in the Department of Engineering Education at Virginia Tech. Her current research interests include motivation, conceptual understanding and student use of metacognitive practices. She received her B.S. and M.S. in Mechanical Engineering from The University of Tennessee. Her advisor is Dr. Holly Matusovich.Dr. Holly M Matusovich, Virginia Tech
behaviors in K-12 science teachingusing discourse analysis. This protocol focuses on the instructor, including tracking questionsand responses, transitions from one activity to another, physical movement and the set up of theclassroom space, which is appealing. However, there is no provision for the coding of tool use inthis protocol [31]. Subsequently, the Classroom Observation Protocol for Engineering Design(COPED) was designed to evaluate engineering design curriculum integration in K-12classrooms [32]. The authors focus their protocol on emphasizing engineering design processesand habits of mind. The COPED is an incremental protocol designed to observe one aspect ofengineering education in K-12 classes. Wheeler [32] states that other protocols