B is less a reflection ofhighly self-determinant engineering degrees and more a reflection of less curricular choice acrossthe board at this institution. This trend is perhaps not surprising considering that University B isa technically focused institution, with more than 90% of the school’s undergraduate populationenrolled in engineering degree programs.University CUniversity C is a private, Master’s University (large program) 11 with a 2013 undergraduateuniversity population of approximately 4,900 students and a full-time undergraduate engineeringpopulation of approximately 800 students. Page 26.1512.10Engineering degree program Choice
experienced than engineers in the country with a slightover-representation of chemical and mechanical engineers. The gender split reflects that ofCanadian engineering graduates over the past two decades. Please see Table 2 below for asummary of our demographic data. T ABLE 2 : S AMPLE C HARACTERISTICS Category Sub-Categories % of SampleSex Male 74 Female 26Age 20-29 43 30-39 33 40-49
navigate a course to geta good grade and look towards finding a position after graduation or move to graduate school.They have opted into the system that exists to graduate with an engineering degree.If put into a broader context, there are a number of additional reasons to reflect on the currentwidespread lack of professional pedagogical preparation of engineering faculty in the US and itspotential long-term ramifications if no corrective action is taken.It stands to reason that the prosperity and well-being of a nation can be linked to the education Page 26.1596.3and qualification of its population2,3. Therefore, parents as key stakeholders of
and one of the two peer mentors. Atthis time and submitted their completed unit plan lessons, reflections on their unit as well asways in which they refined or improved their unit after using it in the class. However, only fourof the teachers had utilized their lesson plans in their classes and evaluated them. The budget for the 2014-2015 program had direct costs of about $20,000. It was fundedprimarily through a grant from the US DOT to the STC at the Center for Transportation Research(CTR), a unit at the University of Tennessee. Figure 2 displays the logic model of the program. Page 26.1605.5 Table 1 Inquiry Learning 5 Es-Science
Page 26.1625.8coders then worked together to negotiate consensus definitions for the groupings such that eachgroup was finally characterized by its differences from other categories as well as the similaritiesamong quotations within the group.ResultsThe preliminary data analysis yielded three major aspects that seemed to dictate the meaning ofmentoring within each relationship: context, formation and tone (Table 1). Context reflects thegeneral scope of the relationship, including both its focus and the dynamic between mentor andmentor. Formation represents the way in which the relationship was initiated, and in someinstances how it was maintained. Finally, tone reflects the general attitude of the mentor thatformed the basis of the student
over users, where the averagepercent wrong was only 32%, with a median percent wrong of 21%, indicating a skeweddistribution. Examination revealed that students having more difficulty (and getting more wronganswers) played the game much longer than those doing well. Moreover, the average percentagecorrect tended to stagnate or even decrease as students moved from the easier levels into harderlevels, which does not reflect the improvement we would like to see as they gain experience (seeFig. 5). If the students were truly mastering the ideas, we would hope to see a reduction inwrong answers as students gain experience and go the higher levels, or at least fewer overall.(The laboratory trial did show very substantial learning gains from doing
academic challenges. These programs have significantly reduced the time studentsspend in remedial English and mathematics courses and have increased the first-year retentionrates. Nevertheless, these first-year improvements do not often reflect on the overall retentionand graduation rates. In fact, contrary to what might be assumed, strong first-year supportprograms, which have received the bulk of the attention in the literature, can degrade sophomoreperformance for a variety of reasons1,2. These observations have led to the suggestion thatsophomore-specific programs are necessary to support rising students3. In many cases, thevanishing effect of first-year programs on later years has been attributed to the fact that studentstransition from a
technologythat uses highly concentrated solar radiation as a source of process heat at temperatures in excessof 900 °C. The major components of the solar furnace are a heliostat, louvers, concentrator,reactor table, and associated controls and instrumentation. The heliostat, which holds 36 m2 ofsolar mirrors, is located in front of the main building. It rotates on two axes to track the sun,reflecting sunlight into the building which houses the remaining furnace components. Note thatthe glass door, shown extended in Fig. 1, is lifted out of the path of the reflected beam duringfurnace operation. The louvers, an assembly of rotatable panels comparable to venetian blinds,regulate the furnace power level by attenuating some of the light reflected from the
on these characteristics.Visualization characteristics of CSA modules can be associated with cognitive science aspectssuch as schemata; mental and graphic visualization, reflection and debriefing, situated learningor cognition, and cognitive apprenticeship23, 40. Brown40 noted the infrequency of visualizationsintegrated into classroom instruction. He attributed this infrequency to the lack of sufficientteaching tools. Without exposure to them, students could not experience the benefits of usefulCSA tools. In addition, new modules have included more web-based interactive tutoring23, 35, 38.For example, the tutorial package developed by Ong38 could support students with an interactivefeature with the capability of modifying parameters so that
-gamecontexts in order to push students to the edge of their capabilities2,3,4. While many traditionalteaching methods entail a punitive aspect, often without providing the student with any feedbackin the form of corrections, game-based learning provides instantaneous feedback so that studentscan persist until they achieve the correct answer, learning and improving from each failure2.Since games allow students to repeatedly try without repercussions, they encourage reflection onwhat mistakes were made and how to avoid these issues in the next attempt at the problem14.This reflection allows the students to make their own connections between previous and currentclassroom content, and how to best apply it. When a player does finally overcome a
reflect the modifications we made to the domainmodel and/or the items. Page 26.404.5Domain analysis & modelOne substantial portion of the redesign effort was revision of the domain model. This revisionoccurred as a result of continued, iterative domain analysis, using a Q-matrix to track alignmentbetween items and FKs, conducting think-aloud studies using individual TTCI items, andconducting larger-scale pilot studies using the full set of TTCI Heat items. Revisions to thedomain model occurred primarily in terms of the number and content of the FKs. This includedrevising the boundaries of the FK, creating new FKs, and condensing multiple FKs
differences intheir approach towards solving a problem. Engineering is described with a formal process, withcaution taken by using theory to reach a solution. Making is described as more informal wherethey solution is found through trial-and-error.ConclusionsThe responses for engineering and making were similar with making described as more informalthan engineering across most of the responses. Responses such as trial-and-error for “What isMaking?” reflect learning and understanding of concepts through practice while responses for“What is Engineering?” suggest an understanding through theory and calculations. The ability tolearn through practice and self-guidance show how makers exhibit traits such as lifelong learningfrom The Engineer of 20201
exploreconnections and patterns in the studied material9,10. These benefits of writing assignments areenhanced in fields such as engineering, since students are rarely assigned reflective writing tasksand thus have few opportunities to develop associated abilities11,12. However, conceptual testinginstruments in the chemical engineering field generally involve multiple choice questions ratherthan written responses.This paper discusses the construction and use of short, written-answer “Concept Quizzes” in thechemical engineering curriculum. These quizzes are intended to evaluate conceptual knowledgewhile forcing students to communicate answers in written format. The objective of this work isto improve students’ understanding of critical engineering concepts
: $1,000Evaluation PlanAssessment of the Women’s Engineering Institute will be made by monitoring the retention andenrollment numbers of female engineering students. The Admissions Office will providestatistical data to reflect the impact of the institute on retention and recruitment. The StudentRecords office will also provide reports to analyze academic performance of female studentsprior to and after joining the institute. The number of female students who were grantedscholarships, internship opportunities, and job placements will also indicate the success of theinstitute.Furthermore, as one of the goals of the institute, the number of female faculty hired throughoutthe year will also be analyzed. The number of summer camps attendees will demonstrate
-year olds: 1991–2011 5 Why an AP in Engineering?• AP Engineering would not only prepare students for success in four‐year undergraduate engineering programs, it would also prepare Career and Technical Education (CTE) students to succeed in two‐year programs.• Surveys with Deans, Teachers, and Students support that there is significant interest in seeing an AP in Engineering offered and taught at the K-12 level, preferably the junior year.• The College Board is committed to developing the proposed new AP Engineering Exam to “reflect what we know about how students learn; build students’ transferable, conceptual understanding and inquiry skills; and
experience [15].Experiential learning encourages four modes of learning – experiencing, reflecting, thinking, andacting –where the learner can engage in all four modes based on the learning situation and whatis being learned [13]. Kolb [14] explained the four modes as: (1) concrete experiences leading to(2) observations and experiences, which enable (3) forming abstract concepts, and (4) concludingwith testing in new situations; all of which enhance learning.Self-assessment With the incorporation of the learner-centered curricula, and the implementation of theABET Criterion 3 (a-k) outcomes; student self-assessment has become integral for assessmentsand evaluations. As an indirect assessment method, it provides a formative learning
Registrar at Stanford University. She is also a member of the research team in the National Center for Engineering Pathways to Innovation (Epicenter). Helen earned her undergraduate degree from UCLA and her PhD in Communication with a minor in Psychology from Stanford University in 1998. Her current research interests include: 1) engineering and entrepreneurship education; 2) the pedagogy of ePortfolios and reflective practice in higher education; and 3) reimagining the traditional academic transcript.Dr. Sheri Sheppard, Stanford University Sheri D. Sheppard, Ph.D., P.E., is professor of Mechanical Engineering at Stanford University. Besides teaching both undergraduate and graduate design and education related classes at
innovators and asking them to reflect on their education andcareers and their perceptions on what would work and what would not. We believe that thisapproach yields significantly richer information that would be used for this research.3 MethodsThe data analyzed here is based on interviews conducted with 60 innovators over the course ofseven months between April 2013 and October 2013. These data emerge from the broader studyof innovation and education mentioned above. The research methods for the broader studyincluded a workshop held on October 22-23, 2013, at the NAE Washington, D.C. The workshopbrought together over 75 innovators and leaders from several fields to share insights oninnovation and its education in focus-group style sessions
undesirable impulses, and achieving optimal performance (e.g., making oneself persist) all constitute important instances of the self-overriding its responses and altering its states or behavior. More generally, breaking bad habits, resisting temptation, and keeping good self-discipline all reflect the ability of the self to control itself, and we sought to build our scale around them24.The scale was introduced on the survey with the following question: “With respect to highschool, how frequently does each of the following statements apply to you?” A sample itemreads “I do certain things that are bad for me, if they are fun.” The available responses were (1)Never, (2) Seldom, (3) Sometimes, (4) Often, and (5) Always. The self
Page 26.894.8Findings section of this paper show results indicating that YSP students showed highlysignificant gains in all areas examined: 1) Fundamentals of neuroscience, engineering, andneuroethics research, 2) Neural engineering best practices, and 3) Connections to neuralengineering industry and careers.Post-program Reflective SurveysAn end-of-program survey was given to YSP students at the conclusion of each summer programto measure the impact on students’ content knowledge and skill set competency in areas ofneural engineering. A retrospective pre-test design was used on some survey questions todetermine if there were statistically significant differences in knowledge of neural engineeringskill sets.13 Considerable empirical evidence
exploring scanning probe microscopy using shoeboxes and marshmallows. Throughfunding from the NUE grant, a video camera was purchased to capture nanotechnology-relatededucational activities and to share the outreach activities with the community through othervenues, such as Facebook and YouTube.A group web page for this NUE program was created on nanoHUB. The web page name isNanoSEEd at MSU (Nanotechnology in Science and Engineering Education at Mississippi StateUniversity). The web page name was chosen to reflect that this is a collaborative effort betweenthe College of Arts and Sciences and the Bagley College of Engineering at MSU. The page iscurrently under construction, but materials developed under this grant will be added as theproject
trainersthemselves are often different . In such a case, students are learning to do different tasks withdifferent equipment. However, by combining the trainers and controllers to perform the sametasks, this puts emphasis on the differences between technologies by solving the same problemson different equipment. This also adds familiarity to equipment that can translate into real worldpractical uses.ConclusionsThe cost of training systems often carries a high price tag when purchased as an off-the-shelfproduct. This cost is reflected not necessarily by the raw value of the parts, but by the integrationof the plant and the controllers along with any necessary specialized software. This effect iscompounded when multiple training setups are needed for
Page 26.84.4To limit the scope of the design, we will assume the amplifier is feeding a known, highimpedance load. Therefore the amplifier’s output impedance may be approximated by RD //1/yos. The output conductance of many FETs is frequently an underspecified or, more often,unspecified parameter2,5 because it is frequently assumed to be sufficiently high as to not affectthe overall output impedance of most FET applications 6. For the same reasons, many simulationmodels do not reflect accurate values of yos as a function of bias conditions. In practice, theoutput conductance of an FET does affect the performance of amplifiers biased at lower draincurrents (ID). But without better data to determine what the output conductance is at lower
of the codes to correspond to the coding as being motivational or beingdemotivation.Saldaña48 describes “Analytic Memos” as “a place to ‘dump your brain’ about the participants,phenomenon, or process under investigation by thinking and thus writing and thus thinking evenmore about them” (p. 41). “Analytic Memos” are also can act as a ”prompt or trigger for writtenreflection on the deeper and complex meanings it evokes”48 (p. 42). Examples of “AnalyticMemos” that Saldaña48 provides includes reflections about personal connections to the data, Page 26.94.9study’s research questions, codes, definitions, patterns, categories, themes, concepts
1245482. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.References1. Koretsky, M., Falconer, J., Brooks, B., Gilbuena, D., Silverstein, D., Smith, C., and Miletic, M., "The AIChE Concept Warehouse: A Tool to Promote Conceptual Learning", Adv. in Eng. Ed. (2014).2. Meyer, J.H.F. and R. Land. 2003. Enhancing Teaching-Learning Environments in Undergraduate Courses Occasional Report, Centre for Teaching, Learning and Assessment, The University of Edinburgh.3. Male, S.A. and C.A. Baillie. 2011. Threshold capabilities: an emerging methodology to locate curricula thresholds, Research in
overcome these challenges. The Experimental Vehicles Program (EVP)participates annually in national and international competitions with multinational collegiateteams. Each year students design and create a new and more efficient vehicle for each of the fiveprojects5. Successful designs not only received awards, but it is a direct reflection of thestudent’s innovative ideas and dedication.This unique program provides great benefits for students such as the professional development ofstudents in addition to providing a great opportunity for students to associate with other studentsfrom similar programs across the globe. For example, at the 2014 Human Exploration RoverChallenge MTSU competed among several different countries such as Russia, Germany
theTech department to produce some of the more intricate construction pieces. Overall, this was avery engaging and fulfilling unit to teach, as well as an effective way to introduce a difficultmath concept.Acknowledgement The authors would like to acknowledge the financial support provided by the U.S. NationalScience Foundation Award, DUE-1102990. Any opinions, findings, conclusions, and/orrecommendations are those of the investigators and do not necessarily reflect the views of theFoundation. Page 26.617.6Bibliography1. Case, D. (Producer), &. (2012). Landfill harmonic. [Video/DVD] You Tube: https://www.youtube.com/watch?v
prevalent in engineering design graphics, explainengineering design graphics instruction within the context of cultural-historical learning theory,and describe specific learning examples within this theory.Introduction / Review of LiteratureThe process engineering graphics educators use to design instruction, select course materials, andexecute an educational plan is influenced by many factors. Some educators instruct primarilyusing methods that they experienced as students. They use instructional strategies that havesuccessfully produced results over time. Others are reflective practitioners and ponder the theorythat motivates their classroom instruction. The learning theory they embrace informs the types ofinstructional strategies they use in the
interaction, we hope to identify recommendations wecan make to other parents on how to foster engineering interest in their children, as wellas contribute ideas for activities for K-5 classrooms to reach a wider range of children.AcknowledgementThis material is based upon work supported by the National Science Foundation underGrant No (HRD-1136253). Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect theviews of the National Science Foundation. We would also like to acknowledge thecontributions of the GRADIENT research team members Scott VanCleave, MaggieSandford and Zdanna Tranby for data collection.References 1. Ceci, S., J., & Williams, W. M. (2010
Agriculture’s 1890 CapacityBuilding Program awards # 2010-38821-21461 and # 2012-38821-20016. Opinions, findings,conclusions, or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the USDA NIFA.References[1] http://www.techopedia.com/definition/25651/wireless-sensor-network-wsn[2] D. Estrin, R. Govindan, J. Heidemann, and S. Kumar, B Next century challenges: Scalable coordination in sensor networks, inProc. 5thAnnu. ACM/IEEE Int. Conf. Mobile Comput. Netw., 1999, pp. 263–270[3] http://www.globalsecurity.org/intell/systems/sosus.htm[4] http://www.ni.com/[5] https://www.google.com/maps