, but also to maintain pride in myself as my mother often encourages me to do.” Of important note, Scholar 1095’s mother passed away in November, 2014 and she currently has no family support structure or continued financial support. The program directors and directors of student support services are working closely with 1095 to ensure she receives strong support.” Scholar 1103 stated, “The price of college has put an increased financial burden on my family and me. With four younger siblings and my father being disabled with a lung condition these burdens are quite significant. I have coped with these financial pressures by striving to reduce costs, taking out loans when needed, and doing work on
tensormathematics, this approach prepares students for more advanced elasticity formulations andcomputational approaches to both solid and fluid mechanics. Page 26.1394.9 Skill #1 Formulate and solve beam deflection problems (outcome 3e). Superior 5 Identifies, explains and solves the equilibrium equation(s) and boundary conditions to determine the requisite deflection(s). Dimensions are consistent and correct. Good 4 Identifies (without explaining) and solves the equilibrium equation(s) and boundary
%: Page 26.1402.4Notice also that, when the diameter is known, the equations are no longer coupled and are mucheasier to solve. The Fanning friction factor is still implicitly defined, but can be read off the Moodydiagram.Reducing the volume flow to 𝑞 = 0.1 l/s, we find the flow to be laminar, since we have defined Re= 2100 as the critical value.As a final question, we ask the students to investigate the highest possible temperature of the waterflow in laminar conditions (pipe diameter and flow rate unchanged):We conclude that the temperature can rise to about 8°C before we enter the turbulent (or at least theintermediate) phase.This example clearly show that many problems that are too complicated to solve using pencil andpaper, are within reach
: Doubleday, 2005. 2. Sandeen, Cathy A.; Hutchinson, Scott. Putting Creativity and Innovation to Work: Continuing Higher Education's Role in Shifting the Educational Paradigm. Continuing Higher Education Review, v74 p81-92 2010. 3. Schaffer S. P., Chen X., Zhu X., Oakes W.C.(2012).Self-Efficacy for Cross-Disciplinary Learning in Project-Based Teams. Journal of Engineering Education 101(1), 82–94. 4. Borrego, M. & Newswander, L.K (2008). Characteristics of Successful Cross-disciplinary Engineering Education Collaborations. Journal of Engineering Education, 97(2), 123–134. 5. Bureau of Labor Statistics. (2014-2015). Biomedical EngineersOccupational Outlook HandbookOccupational Outlook Handbook
existing, industry sponsored, multi-disciplinary capstone teamproject that is required of all students.In order to assess whether this approach can increase awareness in global cultures, the MGUDS-S formwhich assesses cross cultural diversity was used to assess cultural awareness and sensitivity. Ultimatelythis form is being used to evaluate whether the international senior capstone project approach can impacta change in cross cultural diversity. This study explores the existing differences in the populations thatinvolved in existing on-going multinational projects—projects with students from Germany and Poland.Furthermore this study also attempts to evaluate the response to this survey tool from a population ofexperienced business and technical
experts,promoting student-centric practices that build on students’ prior knowledge and experience22,23.The mismatch in values can create a psychological “immune response” that seeks to guardexisting identities and value systems and ward off invading identities23.CoPs provide a safe environment for challenging this immune system, surrounding resistantfaculty with respected colleagues, thus mitigating the perception of identity threat. Within CoPs,faculty engage in long-term situated learning, participating in community-valued practices1,2,13.Description of the Change EffortAs described by Henderson et al.’s change axes3, the primary goal of creating faculty CoPs is toorganize faculty into a new teaching environment that fosters emergent changes
part.Overall, the faculty survey results and student performance outcomes demonstrate theeffectiveness of JTF web-enabled, engagement and feedback pedagogy. Shifting faculty beliefsand classroom practice from instructor-centered teaching toward student-centered learningresulted in positive outcomes of student attitude, achievement and persistence.AcknowledgementThe authors acknowledge the support of this work from NSF Grant #1226325.Bibliography1. Adelman, H. S. and Taylor, L. (1997). Toward a scale-up model for replication new approaches to schooling. Journal of Educational and Psychological Consultation, 8, 197-230.2. Borrego, M., Froyd, J. E., and Hall, T. S. (2010). Diffusion of engineering education innovations: A survey of awareness
learned in their studies, altered theirview of other disciplines, and gave them the confidence to work on business ideas (new and old)after the event. While many graduates from fields considered a part of the creative class won’tstart their own businesses, the development of an entrepreneurship mindset and use of theassociated tools will be essential as they solve the grand challenges of society. Page 26.504.24ReferencesAkker, J. Van den, Koeno, G., Mckenney, S., & Nieveen, N. (2006). Educational design research. London ; New York : Routledge, 2006.Barab, S., & Duffy, T. (2012). From Practice Fields to Communities of Practice. In
forengineering design teams.Structuration TheoryThis study follows Whitbred et al.9’s approach that combines social network analysis withstructuration theory. This approach enables us to examine the structure of project teams whilealso examining the institutional and contextual factors that contribute to team climate, and to thedevelopment of group norms that affect team interactions. Structuration accounts for theinfluence of institutional factors such as rules or norms of what is “acceptable” or “appropriate”behavior within a specific social context, while also affording the actors within that contextagency to effect those structural influences. This theory envisions a reflexive relationship inwhich institutional influences constrain and enable
engineers. After interviewing 53 engineering innovators abouttheir experiences as an innovator and qualitatively analyzing the interview data, weidentified twenty unique characteristics of engineers who had demonstratedextraordinary innovative behavior (Ferguson D., 2013). This finding was corroborated bya separate focus group study (Ferguson D. et al., 2014). We then initiated a modifiedDelphi study with 150 engineering innovators drawn from academic, corporate, andentrepreneurial organizations to examine the complex constructs associated withengineering (Ferguson D, Purzer S, Ohland M, Jablokow K, & Menold J, 2014). Delphistudy participants were nominated as extraordinary engineering innovators from large,medium and small firms; from many
effective way for educators to battle this challenge. This paper describes a tool,SHAvisual, which addresses this issue for the secure hash algorithm (SHA). SHA is a family ofcryptographic hash functions that the National Institute of Standards and Technology beganpublishing in the early 1960’s. SHAvisual is designed to help students learn and instructorsteach the SHA-512 algorithm. It consists of three major components: Demo Mode, PracticeMode and Full Mode. A separate global view window helps highlight the current procedure inthe algorithm pipeline. The Demo Mode provides a simplified SHA-512 visualization and isuseful for the instructor to demonstrate important operations in the classroom. The PracticeMode is designed for students to learn the
wasassigned to a different team. This dyad served as a pilot test for the study, and resulted in severalminor modifications to the protocol for the other participants, including having each participanttell a user story for a concept they did not create.User StoryP1 initially told the user story for her own concept, taking on the perspective of a persona theywere provided in class—“Scarlett.” This persona was used to supply many of the contextualdetails included in the user stories, including Scarlett’s occupation, recent move, and love of theoutdoors. The entire user story took around ten minutes to tell, with P2 taking over telling theuser story after P1’s initial attempt in the first several minutes, suggesting: “Maybe this wouldwork better if we
. Page 26.1718.1 c American Society for Engineering Education, 2015 What Behaviors and Characteristics Do Engineering Competition Team Members Associate with Leadership?Engineering student competition teams (ECT) are promoted as incubators for the development ofleadership, 1, 2 yet we know little about how leadership actually develops within these teams. Acase study of two teams at a public university in the central U. S. was performed, with theobjective of exploring leadership development at the individual and team levels. Implicit in theconcept of team leadership development is the development of individuals as leaders. This paperdiscusses the behaviors and characteristics that students
Century skills survey. The engineering design portfolio assessment(EDPA) includes an electronic log to document students’ progress through the stages of theengineering design process. The survey is designed to measure critical thinking, leadership,communication, and collaboration, and teamwork.Background: The Maker Movement and High School Technology EducationThe ‘maker movement’ is defined by Adweek as the umbrella term for independent inventors,designers, and tinkerers 4, and is viewed by Time magazine as a driver for innovation 5. Thismovement, which started in the 1990’s, embodies a reversion from the theoretical to thepractical, using one’s hands to physically make and build things for the purpose of solving newproblems, solving old problems
. Bransford, J., Brown, A., and Cocking, R. (2000). How People Learn. National Academy Press.2. Brooks, B. J., Gilbuena, D. M., Krause, S. J., and Koretsky, M. D. (2014). Using word clouds for fast, formative assessment of students’ short written responses. Chemical Engr. Educ., 48(4), 190-198.3. Carberry, A., Krause, S., Ankeny, C., and Waters, C. (2013). "Unmuddying” course content using muddiest point reflections, 2013 FIE Proceedings (2013).4. L. Faust and D. R. Paulson, "Active Learning in the College Classroom," Journal on Excellence in College Teaching, vol. 9, pp. 3-24, 1998.5. Freeman, S., Eddya, S. L., McDonough, M., Michelle, K., Smith, B., Okoroafora, N., Jordta, H., and Wenderotha, M. P., (2014). Active learning
leave the field, postgraduation.23 This results in fewer women in the engineering workforce and in the academy.Since the 1970’s there has been an increase in women in the STEM workforce, but this growthhas slowed somewhat since the 1990’s. In 2011 women’s employment in STEM was 27% (downfrom 34% in 1990) with women most underrepresented in engineering at 13% (this number roseto 15% by 2013).16,27Compared to white men, women faculty are less likely to work at prestigious universities orresearch universities, and more likely to hold assistant-professor, associate professor, and non-tenure track positions.14,30 In fact, in 2011 only 9% of full professors in engineering werewomen.17 In regards to academic commercialization this is especially
. Mazur, E., King, G. & Lukoff, B. learning catalytics. (2015). at 5. Hanson, D. Instructor’s Guide to Process-Oriented Guided-Inquiry Learning. (2006).6. Callister, W. D. & Rethwisch, D. G. Fundamentals of Materials Science and Engineering: An Integrated Approach, 4th Edition. (John Wiley & Sons, Inc., 2012).7. Krause, P. S. J. MaterialsConcepts. (2012). at 8. Yalisove, S. M. MSE Video Page. University of Michigan (2014). at 9. Krause, P. S. J. MatSciASU Quizlet. Quizlet LLC (2015). at 10. Solve a Teaching Problem. Eberly Center for Teaching Excellence and Education, Carnegie Mellon at 11. Carberry, A., Krause, S., Ankeny, C. & Waters, C. ‘Unmuddying’ course content using muddiest point
Figure 2. Pictures of plastic venturi sections for (a) Air flow and (b) Water flow.time to figure things out, although open-ended play with the hardware was encouraged. TheTA(s) and instructor were in the room to interact with the students.Venturi nozzle experimentThe first experiment implemented was based on flow through a venturi. The learning objectivestargeted for this experiment were • How fluid flow rates are measured. • How Conservation of Mass defines the relation between velocity and cross-sectional area in a conduit. • How the Bernoulli Equation defines the relation between pressure and velocity in a flowing fluid. • How experimental and ideal conditions differ.Students performed experiments with both
systems and only two students mentioned theimportance of gender issues in their learning objectives. Only 7 out of 12 students included alearning objective in where sustainability was mentioned or where vulnerability wasdiscussed.Table 2: Intended learning outcomesTheme Students (first name initials) Num.The systems’ components and functions. -‐ concepts of the system D, E, G, S 4 -‐ description of the system and its components A, B, C, D, E, G, H, M, R 9 -‐ function of the system A, B, C, E, M, R, S, Z 8 -‐ borders of a system; interaction with other A, E, F, H, M, R, S
. Iterate Iteratea The difficulty of meeting the requirements will necessitate iteration.b The difficulty of manufacturing will necessitate iterative prototyping.c My team has minimal prototyping experience.3 For a high avg, use a virtual prototype; else, use physical models. Physical Virtuala Virtual prototype(s) will require less time than a physical one(s).b Virtual modeling will validate: physics, interfaces and/or requirements.c A CAD model is needed for analysis (FEA, CFD, etc.) or manufacture.d Time & budget allow pursuit of both virtual and physical prototypes
, associated sections in selectedtextbooks, process background and problem(s). The solution to module problem(s) will beprovided upon request from instructors.Due to the complex nature of the biofuel processes and students’ limited exposure to biofueltechnology, most students would feel incompetent in dealing with problems related to biofuel. Tohelp students overcome this barrier, we have also been creating a series of web modules toaccompany the classroom modules by exploiting two recently emerged instructional strategies:computer-assisted instruction and visual learning. Computer-assisted instruction is an innovativeinstructional strategy that has been receiving increasing attention in engineering education 16. Ithas been shown that computer
of students to similartopics, the instructors opted to leverage external educational resources provided by Autodesk,and incorporated the online Building Performance Analysis Certificate (BPAC) program as partof project personnel training requirements. The certificate program embraces broad butfundamental knowledge and skills in building physics, building systems, and informationmodeling applications that can jumpstart students’ understanding of the synergies betweensustainability and BIM.As for LEED resources, students in CM-177 were provided with access to US Green BuildingCouncil (USGBC)’s interactive web-based LEED reference guide that offers step-by-stepguidance on how to achieve and document each LEED credit for both the current and
., Rokooeisadabad, S., Subramaniam, M. (2013). Project-Oriented Pedagogical Model forConstruction Engineering Education Using Cyberinfrastructure Tool,, Journal of Professional Issues in Engineering Page 26.1083.10Education & Practice, ASCE, 139 (4). 300-309.Goedert, J., Rokooei, S., Pawloski, R. (2013). A Project-based Simulation Model for Construction Education, 5thConference on Higher Education Pedagogy, Virginia Tech, Blacksburg, VA.Goedert, J., Rokooei, S., Pawloski, R. (2012). Virtual Interactive Construction education: A Project BasedPedagogical Model for Construction Engineering and Management, 4th Conference on Higher Education
students (PostBac not included) PostBac 2.49 2.00 2.21 2.23 0.36 2.29 students Significance Not Not Not Not significant significant significant significant at 5% at 5% at 5% at 5% We will track dental school graduation rates of the PostBac program students. Furthermore, we intend to investigate the differences in gender and corresponding scores.References1. Bennett, G.K., Seashore, H. G., & Wesman, A. G. (1973). Differential aptitude tests, forms S and T. New York: The Psychological Corporation.2. Gray, S. A
’ lower comfort include: they may have ownedthe device(s) for a shorter period of time and/or they may have only used the device(s) forentertainment purposes and have no comfort with other possible reasons to use the device(s).Comparing pretest ratings with posttest ratings, the 100-level student ratings increased incomfort rating for all devices. Increases in the comfort level with tablets was expected, as allstudents were loaned an iPad tablet for the semester. The increases in comfort level for the othermobile devices may be a result of longer ownership of the device(s) and/or the realization thatskills and comfort with one device readily transfer to other devices. The increase may also be aresult of different students completing the posttest
doliterature reviews when they need it. The instructor also invited a guest speaker attend the classvia distance to provides tips on how to present a technical paper in a conference or meeting. Page 26.1342.5Figure 2. The course structure including the units and major topicsStudents’ feedbackThe end-of-semester surveys completed by students indicate that they are overall satisfied withAnlys. of Res. in Ind. & Tech.’s textbook [5]; however, in most recent survey students gave alower rank to the textbook. In fact this issue was brought to in the classroom during the lastsemester (fall 2014) when the course was offered. In addition, the majority of
two have known defects. How close the student reviewer comes tothe instructor’s rating of these three artifacts determines the reviewer’s reviewercompetency index, and the RCI is used to weight the reviewer’s scores in a calculation ofthe author’s grade. The Coursera MOOC platform employs a takeoff on this strategy: astudent is asked to rate one actual student submission, which has also been rated by aninstructor. If the student’s rating is “close enough,” the student is allowed to assesspeers’ work. Otherwise, the student is given another pre-rated artifact to assess. If thestudent’s score is “close enough,” (s)he is allowed to go on to assess peers; otherwise, theprocess is repeated up until the fifth attempt, after which the student
outcome of the approach using tools like questionnaires, tests and projects. In addition, preand post surveys will be administered in order to gauge the student‟s understanding and skilllevel before and after the hands-on experience. The AD boards have been partially integrated inCircuit Analysis I and II courses over the duration of two semesters, and the results, althoughpreliminary, have been positive. Current and future work includes continued efforts for acomprehensive integration of the boards into the Electrical Engineering curriculum. The underlying goal of this work is to promote innovation and creativity througheducation, and to better prepare undergraduates for careers in the electrical engineeringworkforce. The authors are
focus here on the factors that influence the pedagogical choices faculty make. In particular, there is value in structuring an instructional innovation such that instructors identify the need in their own classrooms and potential mechanisms to address that need. Within this structure, instructors retain autonomy in deciding which evidence-based practice(s) will address a need in their courses without requiring infeasible levels of change. In this paper, we consider a study in which instructors participated in ongoing faculty development through which they selected and implemented an evidence-based teaching innovation in their classrooms. We focus on the factors that influence the pedagogical choices faculty make when they are given an array of
: drivers, developments and challenges. International Journal of Technology Enhanced Learning, 4(5), 304-317.12) Gray, G. (2014). A Review of Psychometric Data Analysis and Applications in Modelling of Academic Achievement in Tertiary Education. Journal of Learning Analytics, 1(1), 75-106.6) House, W. (2011). Winning the Future. Retrieved 8/30/14, from www.whitehouse.gov/winning-the-future17) Jayaprakash, S. M., Moody, E. W., Lauría, E. J., Regan, J. R., & Baron, J. D. (2014). Early Alert of Academically At-Risk Students: An Open Source Analytics Initiative. Journal of Learning Analytics, 1(1), 6-47.15) Johnson, L., Adams Becker, S., Estrada, V., & Freeman, A. (2014). NMC Horizon Report: 2014 Higher