communication and collaboration, design education, and gender in engineering. She was awarded a CAREER grant from the National Science Foundation to study expert teaching in capstone design courses, and is co-PI on numerous NSF grants exploring com- munication, design, and identity in engineering. Drawing on theories of situated learning and identity development, her work includes studies on the teaching and learning of communication, effective teach- ing practices in design education, the effects of differing design pedagogies on retention and motivation, the dynamics of cross-disciplinary collaboration in both academic and industry design environments, and gender and identity in engineering.Miss Cassandra Jo Groen
track” engineering student will take) and EngineeringProblem Solving I (the first engineering class a freshmen student will take). However, highschool GPA was a better predictor in both cases. Of the variables commonly available in studentrecords systems, we conclude that both ACT math score and high school GPA should beconsidered when predicting performance in Pre-Calculus and Engineering Problem Solving, aseach adds considerable explanation of variance.IntroductionMultiple criteria are used to decide which math class an engineering student needs to take at thebeginning of their college career. Some universities use a placement exam or a combination of aplacement exam and student data (for example, high school GPA or number of high school
processes and strategies involved in engineering design using solid modeling, spatial thinking, and conceptual and procedural knowledge interplay in novice engineering students.Christopher Green, Utah State University Christopher Green is a senior in the Mechanical and Aerospace Engineering program, with an Aerospace Emphasis and a minor in Computer Science. He plans to finish his undergrad in Dec. 2015, and continue to earn his MS in Aerospace Engineering and Ph.D. in Engineering Education. In addition to school, he researches common misconceptions students struggle with in engineering and develops ways to overcome them. After graduation, his career goals include working in the industry of unmanned aerial vehicles and
Maura Borrego is Associate Professor of Mechanical Engineering and Curriculum & Instruction at the University of Texas at Austin. She previously served as a Program Director at the National Science Foun- dation and an associate dean and director of interdisciplinary graduate programs. Her research awards include U.S. Presidential Early Career Award for Scientists and Engineers (PECASE), a National Science Foundation CAREER award, and two outstanding publication awards from the American Educational Research Association for her journal articles. Dr. Borrego is Deputy Editor for Journal of Engineering Education and serves on the board of the American Society for Engineering Education as Chair of Pro- fessional
. degrees in Civil Engineering from the South Dakota School of Mines & Technology.Dr. Shane A. Brown P.E., Oregon State University Shane Brown is an associate professor and Associate School Head in the School of Civil and Environmen- tal Engineering at Oregon State University. His research interests include conceptual change and situated cognition. He received the NSF CAREER award in 2010 and is working on a study to characterize prac- ticing engineers’ understandings of core engineering concepts. He is a Senior Associate Editor for the Journal of Engineering Education.Dr. Olusola Adesope, Washington State University Dr. Olusola O. Adesope is an Associate Professor of Educational Psychology and a Boeing Distinguished
of the instructional design process vs. a short-termlaboratory design task), number of participants (31 vs. 9), and other factors. Thus, whileheuristics within a domain may be robust, means of data collection can influence the details andnuances identified. Selection of such methods and participants should be well-informed andsuited to the purpose of the study.Exploring Heuristics and Related Approaches in Engineering Course DesignCourse design in higher education can be a complex task for which engineering faculty are oftenill-prepared [26,27]. Ambrose and Norman, for example, note that many early-career facultydesign courses based on ways they were taught, colleague’s courses, or from lists of importanttopics, rather than through
at Purdue University. Her research focuses what factors influence diverse students to choose engineering and stay in engineering through their careers and how different experiences within the practice and culture of engineering foster or hinder belongingness and identity development. Dr. Godwin graduated from Clemson University with a B.S. in Chemical Engineering and Ph.D. in Engineering and Science Education. Her research earned her a National Science Foundation CAREER Award focused on characterizing latent diversity, which includes diverse attitudes, mindsets, and approaches to learning, to understand engineering students’ identity devel- opment. She is the recipient of a 2014 American Society for Engineering
default behavioral responses to some degree. For better and worse,each person brings a myriad of life experiences shaping their perceptions and traits. Educatorsmust therefore be cognizant that learners will have varied backgrounds that will influence theirapproach to learning new or developing resilience competencies.Second, resilience is dynamic and fluid. A person’s current reality - the context of one’s currentcareer path, educational process and learner age group, health, career or family dynamics - allshape resilience responses. The challenge for educators is to identify and facilitate opportunitiesto more deliberately mentor resilience as part of the active learning experience. This isespecially important in engineering and technology
engineers, demonstrate the importance ofincluding ill-defined problems in the engineering curriculum. While it is absolutely valid thesestudents would feel frustrated or anxious when encountering their first or second ill-definedproblem, their idea that engineering problems are math problems, and therefore have one rightanswer does not match what students will experience in their engineering careers. Previousstudies have shown junior and senior students see ill-defined problems as workplace problemsand well-defined problems as school problems [10], so it could be these students have not havehad enough professional experiences to have developed a sense of the engineering field yet. Oneof these two students interviewed seemed to understand this idea
. Educ. Res., vol. 97, no. 6, pp. 287–298, 2004.[7] S.-M. R. Ting and R. Man, "Predicting academic success of first-year engineering students from standardized test scores and psychosocial variables," Int. J. Eng. Educ., vol. 17, no. 1, pp. 75–80, 2001.[8] J. C. F. De Winter and D. Dodou, "Predicting academic performance in engineering using high school exam scores," Int. J. Eng. Educ., vol. 27, no. 6, p. 1343, 2011.[9] B. D. Jones, M. C. Paretti, S. F. Hein, and T. W. Knott, "An analysis of motivation constructs with first‐year engineering students: Relationships among expectancies, values, achievement, and career plans," J. Eng. Educ., vol. 99, no. 4, pp. 319–336, 2010.[10] R. Steinmayr, A. F. Weidinger, M
through college.Dr. Kristen B Wendell, Tufts University Kristen Wendell is Associate Professor of Mechanical Engineering and Adjunct Associate Professor of Education at Tufts University. Her research efforts at at the Center for Engineering Education and Out- reach focus on supporting discourse and design practices during K-12, teacher education, and college- level engineering learning experiences, and increasing access to engineering in the elementary school ex- perience, especially in under-resourced schools. In 2016 she was a recipient of the U.S. Presidential Early Career Award for Scientists and Engineers (PECASE). https://engineering.tufts.edu/me/people/faculty/kristen- bethke-wendellProf. Chris Buergin
Science Education, 21(10), 1051-1066.8 Southerland, S., Kittleson, J., Settlage, J., and Lanier, K. (2005). Individual and group meaning-making in an urban third grade classroom: red fog, cold cans, and seeping vapor. Journal of Research in Science Teaching, 42(9), 1032-1061.9 Bandura (2001). Social Cognitive Theory: An Agentic Perspective, Annual. Reviews of Psychology. 52, 1–26.10 Bandura, A. (1997). Self-Efficacy: The Exercise of Control. New York, NY: W.H. Freeman and Company.11 Pajares, F. ( 2007) viewed on January 2, 2007. http://www.des.emory.edu/mfp/eff.html12 Lent, R.W., Lopez, F.G., and Bieschke, K.J. (1991). Mathematics self-efficacy: Sources and relations to science- based career choice. Journal of Counseling
such as an “understanding of the social, cultural, global andenvironmental responsibilities of the professional engineer”4. However, issues pertaining tothis broader concept of professional responsibilities might have no implication on theperformance criteria an individual is measured against in the workplace. Hence, in industrysome the qualities or attitudes postulated in Engineers Australia’s Graduate Attributes are notexplicitly measured insofar they are not related to job performance.The second predicament results from the fast changing nature and increasing diversity ofprofessional practice. Universities are confronted with the task of preparing students for amultitude of career paths, each of which demands performance in very specific
to learn/teach characteristics Oriented to improving Knowledge X current knowledge Real life applications Need for examples or application X Problem solving, Personal/professional skills X establishing contacts, responsibility, doing well in classes and career beyond formal schooling Good and responsible Professor characteristics X professors Up-to-date learning Resources X(2) Educational TechnologyWhat came to mind when participants thought about educational technology? The participantsgenerated a total of 158 words or phrases that
programs, where she coordinated student courses as well as parent information sessions. Her research interests include students' perceptions of their learning experience as and how to promote students' learning who show giftedness in the Engineering and Technology areas. Page 15.423.1© American Society for Engineering Education, 2010 Development of Parents’ Engineering Awareness Survey (PEAS) According to the Knowledge, Attitudes, and Behavior FrameworkAbstractWith increased interest in promoting engineering as a field of study and career pathway to bothcollege and pre-college student, it is important to
on engineering design learning with a focus on issues of context in design. Page 24.776.1 c American Society for Engineering Education, 2014 Integrating Reflection on Experience into Engineering Education Jennifer Turns, Brook Sattler, Ken Yasuhara, Jim Borgford-Parnell and Cynthia J. AtmanIntroductionAssigning meaning to experiences is something we do all the time. Words are interpreted asfriendly or rude, job performances as successful or unsuccessful, reactions of interest or boredomas evidence of whether we are well suited for our current jobs or careers. Moreover
hands-on learning experiences and continuous practice of a broad set ofprofessional skills in order to better prepare them for careers as engineering practitioners.Central features of the program include: • A four-year sequence of increasingly challenging team-based design projects. • Interdisciplinary teaming in one or more team design projects. • Cross-disciplinary collaboration in sequenced courses. • Active participation of practicing engineers from industry through teaching, program evaluation and project sponsorships. • A required core spanning all engineering disciplines, incorporating the complete design cycle within simulated industrial product development contexts.The strategy behind the Design4Practice
emergent themes which were continually checked for intercoder reliability. Theemergent themes sprang from a parent code of emotion, specifically as related to cross-disciplinarity, career, and in relation to others. Under these child codes included concerns oftransition (whether deliberate, forced, and/or unconscious), conflict (between self- and other-perception of one’s identity), and definition (self in relation to others). Emotion emerged as the Page 25.371.10parent code because participants generally displayed emotion when they were indicating theirawareness of something unusual—for instance, they were uncomfortable with being categorizedin a
AC 2011-1416: RETENTION: QUANTIFYING THE APPLES AND OR-ANGESThomas F. Wolff, Michigan State University Dr. Thomas F. Wolff is Associate Dean of Engineering for Undergraduate Studies at Michigan State University. In this capacity, he is responsible for all activities related to student services (academic ad- ministration, advising, career planning, women and diversity programs, etc.) and curricular issues. He is principal investigator on several NSF grants related to retention of engineering students. As a faculty member in civil engineering, he co-teaches a large introductory course in civil engineering. His research and consulting activities have focused on the safety and reliability of hydraulic structures, and he
Purdue University where he led the education and the educational technology effort for the NSF-funded Network for Computational Nanotechnology (NCN). His work focuses on how semantic grid-based technologies and tools can co-exist with students’ lifestyles, learning patterns, and technology choices. Dr. Madhavan was the Chair of the IEEE/ACM Supercomputing Education Program 2006 and was the curriculum director for the Supercomputing Ed- ucation Program 2005. In 2008, he was awarded the NSF CAREER award for work on learner-centric, adaptive cyber-tools and cyber-environments. He was one of 49 faculty members selected as the nation’s top engineering educators and researchers by the US National Academy of Engineering to
the verbal, written, virtual, and graphical communicationof a project to technical and non-technical audiences.” The Civil and EnvironmentalEngineering program at the University of South Florida, addresses this outcome over astudent’s undergraduate career, however, tools for student improvement are typically notdirectly linked with the course syllabus and the actual assessment of skills. The CognitiveLevel and Quality Writing Assessment (CLAQWA) instrument is a computer basedassessment and feedback tool designed to improve the writing skills and raise cognitivelevels necessary for a given writing assignment. It also allows faculty to assess, diagnoseand grade a writing assignment and student peers to provide feedback to each other.CLAQWA
-related (furthermore,most STEM offerings focus on computer science rather than engineering). Compounding thelack of offerings in STEM summer camps is the fact that most engineering students, after theybegin the core of their programs in their sophomore year, complete internships over the summerin preparation for their careers. Student government also has low participation among Page 23.1085.13engineering, computer science, and math students which, while common among several of thefive institutions in this study, does not have an immediate explanation.Teaching University: At the teaching university, students are most active in shared living
online instruction? For the Name Generator, students were asked to identify the names of five people who theyconsidered to be influential to their success and persistence in engineering and how these peoplesupported them. For the Resource Generator, students were given a series of prompts (Figure 1)and asked to identify the groups of people who had supported them in these ways. Q1 Provided you with financial support Q2 Talked to you about their own work as an engineer Q3 Gave you information about the type of work that engineers in your field do Q4 Talked to about engineering career options Q5 Encouraged you to stick your major in engineering Q6 Gave you specific advice when you face an academic obstacle Q7
´olica de Chile. His Major is Electrical Engineering and his Minor is Energy. Currently, he is a research assistant of the Engineering Education Division, responsible for supporting research tasks and collaborating in data collection and analysis. Gonzalo managed a pre-engineering program to encourage high school students to study careers in engineering and science. He also volunteered as a teacher in communication skills and personal development, aimed at training high school students in vulnerable backgrounds.Jorge A. Baier, Pontificia Universidad Cat´olica de Chile He is an associate professor in the Computer Science Department and Associate Dean of Engineering Education at the Engineering School in
engineering and also outreach to pre-college students to introduce them to science and engineering career opportunities. Ms. Marlor joined University of California, Berkeley in 2013. She has a B.S. in Materials Engineering from Rensselaer Polytechnic Institute.Dr. Cynthia J. Finelli, University of Michigan Dr. Cynthia Finelli is Professor of Electrical Engineering and Computer Science, Professor of Education, and Director and Graduate Chair for Engineering Education Research Programs at University of Michigan (U-M). Dr. Finelli is a fellow in the American Society of Engineering Education, a Deputy Editor of the Journal for Engineering Education, an Associate Editor of the IEEE Transactions on Education, and past chair of
experience from another class or extracurricular activities that have their own designprocess to follow.Of the observations made during the research many of them were not surprising and expectedresults. These included the following. The senior ME 465 students didn’t have much change intheir design processes from the beginning to the end of the semester. This wasn’t surprising sincethey had already spent their entire academic career forming this process through other classesand personal experiences. The other not surprising thing with the senior ME 465 students is thatthey came in with more general knowledge of the design process than the incoming freshmanwith little to no engineering background. This means that during their time at [university
active learning strategies. Findings indicated that collaborative learningand problem-based learning seemed to be the most commonly used strategies followed by cooperativelearning and concept tests. Interestingly, concept tests, peer instruction, and 1-minute paper were threestrategies about which the participants had the least knowledge.In the follow-up interviews, participants indicated that they mostly learned the aforementioned usedactive learning strategies through the university level workshops they attended. One of the participantswas a teaching assistant for a professor who was the pioneers of active learning engineering during theirgraduate studies, and that impacted their teaching career in the long run. Being able to observe
evidence gathered by the authors that few experimentalpsychologists utilize 3D printing in their research. The senior author has over 30 years ofexperience in experimental psychology and has been developing apparatus for various organismsthroughout his career. His laboratory is one of the few in the United States that developapparatus and teach students how to create their own. The use of 3D printing is a naturalprogression in the construction of apparatus yet surprisingly few experimental psychologists aretaking advantage of these remarkable devices. Thus, the purpose of this paper is two-fold. First,we wanted to estimate the use of 3D printing by experimental psychologists and second, to offerrecommendations on how to increase the interactions
2 lectures/to be determined 3 Oral Presentations 3 3 1 Literature Searches 11 1 What is graduate School? 2 Reading the Literature 2 Finding a Graduate School 3 Poster Presentations 3 Applying for Graduate School 4 1 Scientific Method 12 1 Careers with Graduate Degrees 2 Scientific Method 2 Safety 3 Scientific Method 3 Safety 5 1 Student Presentation 13 1 Research Notebooks 2 Student Presentation 2 Research Notebooks 3 Student Presentation 3 Citation