Paper ID #16413Comparison of a Partially Flipped vs. Fully-Flipped Introductory Probabil-ity and Statistics Course for Engineers: Lessons LearnedDr. Natasa S. Vidic, University of Pittsburgh Natasa Vidic is an assistant professor in the department of industrial engineering at the University of Pittsburgh, where she received a Ph.D. in industrial engineering in 2008. She has an M.S. in operations research from the University of Delaware (1992) and a B.S. in civil/transportation engineering from the University of Belgrade in Serbia (1987). Before joining the faculty in 2010, Dr. Vidic was a visiting assistant professor. She
(AAAS) Science and Technology Policy Fellowship in 2012-2013, with a placement at the National Science Foundation.Mr. Samuel S. Newton, Clemson University Samuel S. Newton is an undergraduate researcher pursuing a B.S. in Mechanical Engineering at Clemson University. He plans to enter the aerospace industry and is considering a M.S. in Aerospace Engineering. His interests pertain to aircraft design. c American Society for Engineering Education, 2016 Uncovering Forms of Wealth and Capital Using Asset Frameworks in Engineering EducationIntroductionThis work-in-progress paper presents the intermediate results from a qualitative research projectfor which we are
Paper ID #16287Learning Engineering and Teaching Engineering: Comparing the Engineer-ing Epistemologies of Two Novice Teachers with Distinct Pedagogies of DesignKristen Bethke Wendell, Tufts University Kristen Wendell is Assistant Professor of Mechanical Engineering and Adjunct Assistant Professor at Tufts University, where she is also a Faculty Fellow at the Center for Engineering Education and Outreach.Ms. Jessica E. S. Swenson, Tufts Center for Engineering Education and Outreach Jessica Swenson is a graduate student at Tufts University. She is currently pursuing a Ph.D. in mechanical engineering with a research focus on
Paper ID #14733Exploring Nontraditional Undergraduates’ Resistance to Active Learning inan Online Support Forum in CalculusMr. Derrick S. Harkness, Utah State University I am currently a graduate student at Utah State University working on a Master’s degree in Mathematics with an emphasis in Education.Ms. Angela Minichiello, Utah State University Angela Minichiello is a Principal Lecturer and doctoral candidate in the Department of Engineering Ed- ucation at Utah State University (USU). She instructs undergraduate engineering courses via distance delivery methods to students at the USU regional campuses. Angela is a
engineering and science at Science Leadership Academy in Philadelphia. John came to SLA through the Philadelphia Teaching Residency Program as a Noyce Scholar. Prior to teaching, John spent a few decades as an entrepreneur, co-founding WAM Systems, a global provider of supply chain planning and optimization solutions to large manufacturers. Before WAM, he designed spacecraft at GE for many years. John holds engineering degrees from Penn State and Villanova. When not teaching science and engineering, John can be found playing jazz clarinet, practicing yoga, or inventing oddities in his workshop.Jessica S. Ward, Drexel University Jessica Ward serves as the Director of Operations for the DragonsTeach program. She previously
systems. Contact: m.e.ssemakula@wayne.eduDr. Gene Yeau-Jian Liao, Wayne State University GENE LIAO is currently Director of the Electric-drive Vehicle Engineering and Alternative Energy Tech- nology programs and Professor at Wayne State University. He received a M.S. in mechanical engineering from Columbia University, and a doctor of engineering from University of Michigan, Ann Arbor. He has over 17 years of industrial practices in the automotive sector prior to becoming a faculty member. Dr. Liao has research and teaching interests in the areas of hybrid vehicles, energy storage, and advanced manufacturing.Prof. Shlomo S. Sawilowsky, Wayne State University https://en.wikipedia.org/wiki/Shlomo Sawilowsky http
(Leveraging Maker Pathways to Scale Steam + Making Outreach Programs) and served as senior person- nel / instructional team on the 2014pilot for NSF’s Innovation Corps for Learning (I-Corps-L).Dr. Shawn S. Jordan, Arizona State University, Polytechnic campus SHAWN JORDAN, Ph.D. is an Assistant Professor of engineering in the Ira A. Fulton Schools of En- gineering at Arizona State University. He teaches context-centered electrical engineering and embedded systems design courses, and studies the use of context in both K-12 and undergraduate engineering design education. He received his Ph.D. in Engineering Education (2010) and M.S./B.S. in Electrical and Com- puter Engineering from Purdue University. Dr. Jordan is PI on several
teacher (7-12) and taught in public schools and museums from 2003-2013.Dr. Marci S. DeCaro, University of Louisville Marci DeCaro is an assistant professor in the Department of Psychological and Brain Sciences at the University of Louisville. Her research focuses on the role of cognitive factors such as working memory in learning and performance situations. She studies these topics with adults and children in laboratory and educational contexts.Dr. Jeffrey Lloyd Hieb, University of Louisville Jeffrey L. Hieb is an Associate Professor in the Department of Engineering Fundamentals at the Univer- sity of Louisville. He graduated from Furman University in 1992 with degrees in Computer Science and Philosophy
assessment that measures ”legitimate peripheral participation” or learning-by-doing, which is the theoretical foundation to an apprenticeship model of learning.Prof. Michael S. Isaacson, University of California - Santa Cruz Michael Isaacson is the Narinder Singh Kapany Professor emeritus, professor of electrical engineering, Director of the Center for Sustainable Energy and Power Systems (CenSEPS) and a member of the Sus- tainable Engineering and Ecological Design Program at UCSC. He is recipient of numerous awards including a Sloan Foundation Faculty Fellowship, the Burton Medal from the Microscopy Society of America, an Alexander von Humboldt Senior Scientist Award, the Rank Prize in Optoelectronics and the
Paper ID #16079Understanding Student Experiences in a Blended-Learning MOOC: A Phe-nomenographic StudyMs. S. Zahra Atiq, Purdue University, West Lafayette S. Zahra Atiq is a PhD student at the School of Engineering Education at Purdue University, West Lafayette. Her research interests include: computer science education specifically on teaching computer programming to undergraduates and how to improve their learning experiences. She is also interested in understanding student behaviors and performance in online learning environments specifically MOOCs.Ms. Casey Lynn Haney, Purdue University, West Lafayette Casey Haney is
Paper ID #15044Making Learning Whole: Toward the Development of an Instrument Opera-tionalizing Perkins’ ModelDr. Jeremi S London, Arizona State University, Polytechnic campus Dr. Jeremi London is an Assistant Professor of Engineering at Arizona State University. She holds B.S. and M.S. degrees in Industrial Engineering and a Ph.D. in Engineering Education, all from Purdue Univer- sity. She employs mixed methods research designs and computational tools to address complex problems relevant to her research interests. She leads projects related to her research interest in primary research interests, which are focused on the
, she resigned from her faculty job and came to Connecticut for family reunion. Throughout her academic career in Australia and Sin- gapore, she had developed a very strong interest in learning psychology and educational measurement. She then opted for a second Ph.D. in educational psychology, specialized in measurement, evaluation and assessment at University of Connecticut. She earned her second Ph.D. in 2010. Li has a unique cross- disciplinary educational and research background in mechatronics engineering, specialized in control and robotics, and educational psychology, specialized in statistical analysis and program evaluation.Dr. Ronald S. Harichandran, University of New Haven Ron Harichandran is Dean of the
Healthcare as a Technical Support Analyst in Milwaukee, WI after completing her B.S. in Biomedical Engineering from Michigan Technological University. Erin’s research interests include preparing students for their sophomore year, minority student engineering identity development, and providing mentoring relationships to help foster student growth and success.Dr. Courtney S. Smith, Virginia Tech c American Society for Engineering Education, 2016 Paper ID #15393Courtney S. Smith is a Teaching Assistant Professor at UNC Charlotte. Her research interests span thementoring experiences of African American women in engineering
Paper ID #15608Catalyzing Active Learning: Implementing Active Learning Across an Engi-neering and Science CollegeTracy A. Bibelnieks Ph.D., University of Minnesota DuluthDr. Kristen S. Gorman, University of MinnesotaBrian D. Gute, University of Minnesota Duluth Brian Gute holds B.A. degrees in Chemistry and English from the University of Minnesota Duluth and an M.S. in Toxicology from the University of Minnesota. He is an instructor in the Department of Chem- istry and Biochemistry at the University of Minnesota Duluth where he primarily teaches freshman-level introductory and general chemistry courses. Prior to joining the
. Alistair Cook, Colorado State University PhD Student in Education Sciences focusing on Engineering for Global Development as a context to teach engineering professional skills to undergraduate engineering studentsMs. Melissa D. Reese, Colorado State University Melissa D. Reese received a BS in International Business/Finance and an MBA in Management/Organizational Development from Rochester Institute of Technology in 1998 and 2006, respectively. She is currently the department manager of Electrical and Computer Engineering at Colorado State University.Prof. Zinta Byrne, Colorado State University Zinta S. Byrne is a tenured full professor of psychology at Colorado State University. Her previous careers were as software
Paper ID #16847Inclusive Learning through Real-time Tracking Display of CaptionsDr. Raja S. Kushalnagar, Rochester Institute of Technology Raja Kushalnagar is an Assistant Professor in the Information and Computing Studies Department at the National Technical Institute for the Deaf at the Rochester Institute of Technology in Rochester, NY. He teaches information and/or computing courses, and tutors deaf and hard of hearing students in computer science/information technology courses. His research interests focus on the intersection of disability law, accessible and educational technology, and human-computer interaction. He
skills.The testing will be done with students from varied backgrounds to assess how individuals studyingin a variety of domains are impacted by their beliefs about knowledge and their own abilities.Subsequently, the researchers will develop interventions that are applicable in existing curricula.Such interventions will be informed by the knowledge that designing and building are correlatedwith a high level of spatial skills.Bibliography1. Martín-Dorta, N., Saorín, S. J., & Contero, M. (2008). Development of a fast remedial course to improve the spatial abilities of engineering students. Journal of Engineering Education, 97(4), 505-513.2. Kell, H., Lubinski, D., Benbow, C., & Steiger, J. (2013). Creativity and technical innovation: Spatial
can be seen that the input from the instructorshelped reshape the format of the workshop between the years but the same underlying principlesexisted: collaboration, interest in student understanding, and material development. With thesecore principles remaining the same across the workshops, we can then compare how theinstructors’ attitudes and beliefs changed throughout this timeframe.Theoretical FramingFor this research, the Concerns Based Adoption Model (CBAM) has been utilized to compareand contrast how the instructors’ beliefs and attitudes towards the innovation changed over time2.CBAM is a well-researched educational model created in the 1970’s ad 1980’s that helps depictthe change process in an educational setting. There are three
fluid mechanics students for their participation,feedback, and support of this experimental project.References1 Britton, B. K., and Tesser, A., “Effects of Time-Management Practices on College Grades,” Journal ofEducational Psychology, Vol. 83, No. 3, 1991, pp. 405-410.2 Gregory, J. M., W. J. Carter, and P. S. Gregory, The Student's Handbook for Academic Survival in College,McGraw-Hill, 1997.3 Gregory, J. M, Xie, X., and Mengel, S. A., “Active and Passive Learning Connections to Sleep Management,” 33rdASEE/IEEE Frontiers in Education Conference, Boulder, CO, Nov. 2003.4 Gregory, J. M, Xie, X., and Mengel, S. A., “Sleep Management: A Frontier for Improved AcademicPerformance,” Proceedings of the 2003 ASEE Gulf-Southwest Annual Conference, The
University S =Symbolic Student Faculty Admin.Less Emphasis on More Emphasis on O = Org.Viewing course as Thinking about
higher education for ways to use data for improving teaching andlearning, new fields such as educational data mining and learning analytics have emerged. Thesefields can support the development of engineering-specific theories of learning and thecharacterization of different aspects of learning processes at the level of individuals, groups, andinstitutions.References:1. Madhavan, K. and Lindsay, E.D. (2014). Use of information technology in engineering education. In Johri, Aditya, and Barbara M. Olds, eds. Cambridge handbook of engineering education research. Cambridge University Press.2. Johnson, L., Adams Becker, S., Estrada, V., Freeman, A. (2014). NMC Horizon Report: 2014 Higher Education Edition. Austin, Texas: The New Media
overlaps were not expected to cause any biasin the results. Categories 3 and 4 were formed to understand how the information learned in anentry-level gatekeeper course such as mathematics was carried forward to an advanced levelcourse. Table 1. Grading scale used for questions in the categories 1-4 Grade Explanation 5 Displays excellent understanding of the new concept and the pre- requisite(s) 4 Knowledge of the pre-requisite concept(s) is satisfactory and correctly applies it to the current concept, but the solution is incomplete 3 Knowledge of the pre-requisite concept(s) is satisfactory, but its
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
. 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
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
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
these identity frameworks in the broaderliterature. To be fair, in the broader literature there have only been a few claims that identity isexplicitly distinct from other constructs such as self-efficacy2 or the expectancy-value theory ofachievement motivation.3 However, in the last five years some have made this distinction. Forexample, Lent, R. W., Brown, S. D., & Hackett, G.4 expand on Bandura’s theory of self-efficacyto the extent of illuminating the importance of self-efficacy in academic persistence. While thisis not explicitly identity, self-efficacy is a theoretically relevant construct that had to be takeninto consideration in this review as it is often associated with identity measures.Table 1 Categorization of Identity Studies by
1 = Black/African American Louisiana Residency (State) 0 = Non-Resident 1 = Resident High School Rank (HSRank) 0.2 – 100 High School GPA (HSGPA) 1.59 – 4.0 ACT component scores Science Score (ACT S) 7 – 36 Mathematics Score (ACT M) 14 – 36 English Score (ACT E) 11 – 36 Reading Score (ACT R) 12 – 36ParticipantsThe participants involved in this study include first-time-in-college (FTIC) freshmen whoentered the university in any school year between 2006 and 2015 and declared an engineeringdiscipline as their major. Enrollment in a university seminar class that all FTIC freshmen
. National Science Foundation through grant numbers 1347417,1347482, 1347580, 1347718, and 1500309. The opinions are those of the authors and do notnecessarily represent the National Science Foundation. The authors would like to thank theinstructors and students who agreed to be part of the pilot study, as well as project advisoryboard members.References 1. Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410-8415. 2. Finelli, C. J., Richardson, K. M., & Daly, S. R. (2013). Factors that influence faculty
Reformulate 3 Generating Documentation and Data Management Controlling Storing DistributingAs mentioned, the need analysis stage is regarded as the most important part of the designprocess. It is a process of problem finding and representing as opposed to problem solving. It isdivided into three (3) phases: identification, representation and communication. These divisionsare based on Karuppoor et al.27’s design philosophy, emphasizing the