Paper ID #12565Problematizing Best Practices for Pairing in K-12 Student Design TeamsMs. Gina M Quan, University of Maryland, College Park Gina Quan is a doctoral candidate in Physics Education Research at the University of Maryland, Col- lege Park. She graduated in 2012 with a B.A. in Physics from the University of California, Berkeley. Her research interests include understanding community and identity formation, unpacking students’ re- lationships to design, and cultivating institutional change. Ms. Quan is also a founding member of the Access Network, a research-practice community dedicated to fostering supportive
practice related to this particular theme, using the notion of communitiesof practice34, 35, 36 as an interpretive framework, with further recommendations based on the fulldata set to be discussed elsewhere.Research Design and MethodologyThis study was guided by the following research questions: What can we identify as best practices in mentoring and supervising URM students as they conduct engineering research? How is the effectiveness of these practices perceived by URM populations? To what extent are these best practices in research mentoring congruent with commonly accepted guidelines for undergraduate and graduate students from majority groups?In order to address these questions, quantitative and qualitative data
,” which is building an online history of the development of the NSDL. She is also PI on ”Learning from the Best: How Award Winning Courseware has Impacted Engineering Education.” This research focuses on determining how high quality courseware is being disseminated and how it is impacting the culture of engineering education as measured by changes in student learning, teaching practices, and the careers of the authors of these materials.Prof. Joseph G. Tront, Virginia TechSarah Giersch, Broad-based Knowledge, LLC Sarah Giersch is a Consultant for Broad-based Knowledge, LLC (BbK), where she conducts quantita- tive and qualitative evaluations for BbK’s higher education clients. Giersch also consults in the areas of
’ understanding ofresearch, increasing both their general knowledge of research careers and their ability to designand perform research. While even in the most poorly designed research experience this mayoccur to some extent, the optimal method for delivery and preparation of students for soundresearch in engineering and science is not clear. Many research experiences are 8 to 10 weeksummer programs. Within these relatively short time frames the programs should carefullyconsider organization and structure in order to maximize impact. However, our knowledge onhow to best deliver research training is incomplete. The impact of experience in a research lab is likely to depend on a number of programfactors: organization, nature of interactions with the
in graduateschool [15]– [4], very few scholars in engineering education research have characterizedstudents' expectations of graduate school and how these expectations do not align with their livedexperiences. Previous work has neglected the impact of misalignments between expectations andexperiences on students' ability to persist, except for Zerbe and Sallai's paper [17]. They foundmisalignments in students' expectations on the psychological level, such as feelings of malaise,the anticipation of being overworked, and the expectation of not having a work-life balance.However, less attention was paid to sociological or policy expectations or misalignments.The present work builds on our group's ongoing exploration of graduate attrition. In
research as it relates totechnology and engineering education and the contribution of this model to understandingstudent attitudes in the domain of engineering and design thinking. While collaborative learningis important the present research is an opportunity to assess its impact on students beyond theacquisition of new knowledge.Introduction Collaboration is frequently listed among skills required for graduates to succeed in the21 century workforce. Engineering standards include developing “an ability to function on stmultidisciplinary teams” as well as “an ability to communicate effectively.” Active learningapproaches, including collaborative learning practices, foster student engagement and learningthat is better aligned with the
(2008, 2014), UIC Teaching Recognitions Award (2011), and the COE Best Advisor Award (2009, 2010, 2013). Dr. Darabi has been the Technical Chair for the UIC Annual Engineering Expo for the past 5 years. The Annual Engineering Expo is a COE’s flagship event where all senior students showcase their Design projects and products. More than 600 participants from public, industry and academia attend this event annually. Dr. Darabi is an ABET IDEAL Scholar and has led the MIE Department ABET team in two successful ac- creditations (2008 and 2014) of Mechanical Engineering and Industrial Engineering programs. Dr. Darabi has been the lead developer of several educational software systems as well as the author of multiple ed
Paper ID #6120Learning Strategies and Learning Traits Critical to Practicing Engineers af-ter CollegeMr. Daniel Michael Ferguson, Purdue University, West Lafayette Daniel M. Ferguson is a graduate student in the Engineering Education Program at Purdue University and the recipient of NSF awards for research in engineering education. Prior to coming to Purdue he was Assistant Professor of Entrepreneurship at Ohio Northern University. Before assuming that position he was Associate Director of the Inter-professional Studies Program and Senior Lecturer at Illinois Institute of Technology and involved in research in service
Paper ID #23152The Graphic Novel: A Promising Medium for Learning ResearchMr. Petr Johanes, Stanford University Petr Johanes is currently a PhD candidate in Learning Sciences and Technology Design (LSTD) at the Stanford University Graduate School of Education. He holds a B.S. and M.S. from the Department of Materials Science at Stanford University and has experience teaching in Engineering as well as Education. Petr’s main research interest is in building data-driven digital environments to investigate the role of epistemology in the experience, design, and research of learning. c American
), andcommunicating research findings (Storytelling).Discussion & Implications for Design EducationThe most notable finding is the similarity between the students post-survey and the practicing Page 22.1563.11engineers, indicating that our engineering students are graduating with a professional view ofengineering design and the design process. However, there were some interesting differences in a few aspects of the students’ perspectives on design. Practicing engineers’ particular conceptionof design is not necessarily the “correct” conception of design to which engineering studentsneed to conform. The wide variety of problems
., “Encouraging Graduate Study in Engineering,” Journal of Engineering Education, July 1995, p. 249-255.18.Auerbach, J., Gordon, J., May, G., and Davis, C., “A Comprehensive Examination of the Impact of the Summer Undergraduate Research Program on Minority Enrollment in Graduate School,” Proceedings of the 2007 American Society for Engineering Education Annual Conference & Exposition, June 2007, 15 pages.19.Davis, I., DeLoatch, E., Kerns, S., Morell, L., Purdy, C., Smith, P., and Truesdale, S., “Best Practices for Promoting Diversity in Graduate Engineering Education,” Proceedings of the 2007 American Society for Engineering Education Annual Conference & Exposition, June 2007, 6 pages.20.Eisenman, S. and List, G
Foundation’s Research Experiences for Undergraduates (REU)initiative aims to recruit students to careers in research and has funded over 1,700 sites totalingover $435 million (of which over 600 sites receiving $171 million in funding are presentlyactive)1. Research by the STEM education community concurs that these research experienceshave a positive influence on undergraduates in a variety of ways. Yet, many of the specificaspects of the nature benefits to participants and how they accrue to participants are not knownor well understood.Prior work by the first author used Lent’s Social Cognitive Career Theory to study the impact ofREU programs on undergraduate students’ self efficacy for graduate school and researchcareers2. In this prior work, we
things work as proposed, andsometimes they never figure it out.Most researchers are familiar with the need to evaluate the end results of a completed project,which in the professional evaluation community is termed outcomes evaluation (or impactevaluation). While necessary for funded projects, outcomes evaluation is summative—at best itmight reveal what the researchers should have done, but it comes too late to change what theyactually did. A formative approach called utilization-focused evaluation helps project leadersmonitor and improve their project throughout its term.1 A particularly powerful utilization-focused technique is implementation evaluation (or process evaluation), in which a trainedevaluator is brought into a project from its
Underlying Educational InterventionsThe Center for the Advancement of Scholarship on Engineering Education (CASEE) at theNational Academy of Engineering has developed a web-based database that summarizes theavailable research on educational interventions designed to enhance student learning, retention,and professional success (see www.PR2OVE-IT.org -- Peer Reviewed Research OfferingValidation of Effective and Innovative Teaching). The website is similar to the U.S. Departmentof Education’s What Works Clearinghouse (http://www.whatworks.ed.gov/>), except thatPR2OVE-IT does not engage in extensive pre-screening of papers for rigor. Rather, we leavejudgments of rigor up to individual users of the system and focus instead on summarizing theresults of
: COURSE LEARNING OBJECTIVESAs a result of taking this course, the participants will develop the knowledge and skills to:1. Define engineering and the engineering method, and list attributes of engineering as a profession.2. Describe the context of engineering education in the US and globally3. Describe the history, the present, and the future scenarios of engineering and engineering education4. Summarize "state of the art" or "best" practices for teaching and learning engineering5. Describe drivers and opportunities that are enabling engineering education research6. Map the landscape of engineering education research at Purdue7. Describe the elements of an engineering education research study8. Articulate a clear personal teaching philosophy
engineering design, including creative engineering design conceptsand practices, design history, sustainability, cognitive processes and design problem solving,basic design skills, and project management. The PBSL project was designing a device to enablea professor (and also the client) with cerebral palsy the ability to strengthen his lower and upperbody as well as to exercise outdoors. In fact, the exact problem statement that students weregiven the second week of class is shown in Figure 1. Semester Project Description “Design of a Pedaled Cycling Vehicle for a Client with Cerebral Palsy” A professor of adaptive physical education is interested in the design and construction of a unique pedaled cycling
&M University and an Asso- ciate Professor in the Zachry Department of Civil Engineering. His research focuses on solid mechanics and materials science. His speciality is welding physics and the fatigue and fracture behavior of struc- tural weldments under cyclic loading. Results from his research have been incorporated in national and international codes of recommended practice for buildings as well as railway and highway bridges.Dr. Carol L. Stuessy, Texas A&M University Dr. Carol Stuessy has been associated with Texas A&M Univerrsity since 1989 as a professor of science education in the Department of Teaching, Learning and Culture. Her specialties include research design using mixed methods approaches
AC 2008-616: IMPACT OF INSTRUCTORS’ USE OF THE TABLET PC ONSTUDENT LEARNING AND CLASSROOM ATTENDANCEKyu Yon Lim, Pennsylvania State University Kyu Yon Lim is a PhD candidate majoring in Instructional Systems with emphasis of instructional design with emerging technology. Her research interests relate to technology integration, generative learning, and problem-based learning. She can be contacted at kylim@psu.edu.Roxanne Toto, Pennsylvania State University, University Park Dr. Roxanne Toto is an Instructional Designer and e-Learning Support Specialist for the Leonhard Center for the Enhancement of Engineering Education at the Pennsylvania State University where she teaches faculty, teaching
competitive pool of applicantsby a committee of faculty research advisors who consider students’ academic records, facultyletters of recommendation, and student skills and interests.SURE students receive subsidized on-campus housing for the duration of the program, a mealplan, travel allowance, and full access to institutional facilities, including health care,recreational facilities, and the library. In addition, the participants are awarded a stipend. The Page 12.22.3financial incentives offered by SURE are designed to attract some of the best available students,many of whom choose to participate instead of accepting more lucrative summer
doing (problem formulation and problem solving), and design andengineering learning (focused on change in the student’s conceptual understanding of design).Research Methods and ParticipantsTo best address the research questions, this study uses multiple methodologies to collect andanalyze data around engineering students’ learning. Empirical evidence of what design andengineering thinking looks like and how it changes over time, and how students conceptualizedesign and engineering, comes from two participant groups: (1) a spread of undergraduateengineering students across fields of engineering, and (2) a homogeneous group of MechanicalEngineering graduate students in a project-based learning course in design and innovation forMaster’s students
second day, twoparallel 90-minute sessions are held: one for relatively new faculty members on getting academiccareers off to a good start, and one for more experienced faculty members on techniques forpromoting effective teaching on individual campuses. For each topic addressed in the workshop,practical suggestions are offered and the research attesting to their effectiveness is cited anddiscussed. Page 14.177.2 Participant evaluations collected at the conclusion of each workshop offering have beenconsistently positive. In the eighteen years that the workshop has been given, 820 overall ratingshave been submitted of which 84% were
, work-life balance and integration into the scientific communitywere cited as the two most common factors in driving them to leave. Issues related to relationshipswith the advisor, department, and the scientific community as a whole are mentioned as negativelyimpacting the students’ experiences in graduate school.While external factors may be at play, few studies have researched how students’ initialexpectations for graduate school impact their experiences. In a case study of two “questioners”(students who are seriously considering leaving their graduate programs) in engineering graduateprograms, the results showed that academic capability and advisor relationships were not majorfactors in each student’s decision to leave [14]. Instead
architecture for long lasting software systems and pro- viding tool support to the community to nurture software feature architecture. Dr. Rahman is the first author who extracted feature-architecture while understanding the best practices of feature management and its impact on software architecture, which is another major research interest of his. Understanding and visualizing feature architecture is necessary to advance software development and engineering by maintaining a controlled architectural growth of software systems. Dr. Rahman is currently focusing on the following research areas: software feature-architecture, release management in trunk based de- velopment, software quality in trunk-based rapid-release cycles
University of Toronto, Canada. Her current area of research work includes nonlinear analysis of bio- signals and fluid dynamics. Dr. Nayak is also involved in education research at Tuskegee University.Dr. Firas Akasheh, Tuskegee University Dr. Akasheh has been with the Mechanical Engineering Department at Tuskegee University since 2008. His primary interest is in the area of solid mechanics and manufacturing as well as the integration of best practices in engineering education. c American Society for Engineering Education, 2018 A PROTOCOL Based Blended Model for Fluid Mechanics Instruction ABSTRACT A personalized and media-rich learning framework called
design and en- trepreneurship courses at the undergraduate and graduate levels, focusing on front-end design processes.Dr. Diane L. Peters, Kettering University Dr. Peters is an Assistant Professor of Mechanical Engineering at Kettering University. Her engineering education research focuses on returning students in graduate education - those who practice in industry for a substantial period of time before returning to school for a graduate degree. c American Society for Engineering Education, 2017 Challenges and Benefits of Applied Experience as an Engineering Returner in a PhD ProgramI. IntroductionThis research paper describes the experiences of returning
inquiry-based research experience for teachers," Science Education, vol. 93, no. 2, pp. 322-360, 2008.[29] R. J. Miranda and J. B. Damico, "Science teachers’ beliefs about the influence of their summer research experiences on their pedagogical practices," Journal of Science Teacher Education, vol. 24, no. 8, pp. 1241-1261, 2013.[30] A. L. Zydney, J. S. Bennett, A. Shahid and K. W. Bauer, "Impact of Undergraduate Research Experience in Engineering," Journal of Engineering Education, vol. 91, no. 2, pp. 151-157, 2002.[31] W. Aung, "Undergraduate and graduate education activities of current engineering research centers.," ERC Education Assessment and Dissemination Task Group, 2006.[32] S. H. Russel, "Evaluation of NSF support
by emphasing the need for Synergetic Configuration across the curriculumKey words: Synergy: Variety: Synergetic Configuration: Foundation students:Graduate Students 1. Introduction & BackgroundBased upon the pedagogically focused aspects of the RVS model of Engineering Education [1]and following an Action Research approach [2] the Great Expectations Project set out toidentify and find solutions to the issues around the ‘academic transition’ into university fortwo very different cohorts of students; those who enter university without the required pre-requisite qualifications and are therefore required to enrol upon a pre-undergraduate level‘conversion’ programme in general engineering; and students who, having graduated with aBachelor’s
of the participants struggled to provide approaches to assessing the Page 25.614.12impact. This speaks to the need for more research in this area. However, among the few who tried, the use of a control group and experiment groups was the suggested approach. Others, however, reverted tometrics they think are most important when assessing the impact of a cyberlearning award. Many participants said that the metrics used to assess the impact of a cyberlearning award shouldbe based on the subject and the context (i.e
Paper ID #12969Teaching as a Design Process: A Framework for Design-based Research inEngineering EducationDr. Margret Hjalmarson, George Mason University Margret Hjalmarson is an Associate Professor in the Graduate School of Education at George Mason University and currently a Program Officer in the Division of Research on Learning in Formal and Infor- mal Settings at the National Science Foundation. Her research interests include engineering education, mathematics education, faculty development and mathematics teacher leadership.Prof. Jill K Nelson, George Mason UniversityCraig Lorie, George Mason University
Public and Private Schools. Sociology of education, 1982. 55(2/3): p. 65‐76. 27. Rogosa, D., D. Brandt, and M. Zimowski, A growth curve approach to the measurement of change. Psychological Bulletin, 1982. 92(3): p. 726‐748. 28. Statistics, N.C.f.E., High School and Beyond: Sample Design Report, 1980: Washington D.C. 29. Morrell, C.H., L.J. Brant, and L. Ferrucci, Model Choice Can Obscure Results in Longitudinal Studies. The Journals of Gerontology, 2009. 64A(2): p. 215‐22. 30. Astin, A.W. and N. Denson, Multi‐Campus Studies of College Impact: Which Statistical Method is Appropriate? Research in Higher Education, 2009. 50(4): p. 354‐367. 31. Sanders, W.L. and J.C. Rivers, Research‐in‐Progress Report