weighted survey sample of roughly two thousand early careerengineering graduates. The research is broadly situated in social cognitive career theory anddraws data from the Pathways of Engineering Alumni Research Survey (PEARS), which was apart of the National Science Foundation (NSF) funded Engineering Pathways Study (EPS).Analyses for this study followed a two-step process. First we categorized the engineeringgraduates into seven occupational groups, and then we compared these seven groups along sixother measures of doing engineering work. Four years after graduation, graduates employed inengineering and computer-related occupations tended to identify themselves, their currentposition, and future plans as engineering-related, while graduates
the next step based on what will help one reach the goal. Dead-ends are less likelywhen using means-ends analysis, but still may occur. Forward chaining is most often used byexpert problem solvers who have a deeper understanding of what is required to solve theproblem7. When forward chaining, the problem solver plans what steps to take before starting theproblem so that no unnecessary work is done7.Other strategies not addressed in Nickerson’s framework were considered for our analysis7. Astrategy referred to as unit analysis, dimensional analysis, or proportional analysis commonlyoccurs in engineering and science. Lobato describes proportional analysis as a valuable strategyimplemented by expert problem solvers14. Proportional analysis or
level, instructors are designing new teachingstrategies. At the second level, the researchers are designing a model for teaching developmentfor faculty. In addition, how does conceptualizing teaching as a design process inform a teachingdevelopment model for instructors? Literature Review We build in this project on other frameworks for research in education that examine howeducational products (e.g., curriculum) or processes are designed for the classroom. In many ofthese cases, there are models, resources or tools being designed to support teaching and learning.For example, in research about the design of curriculum, Clements describes multiple stages inthe life of the materials from the ideal curriculum to the planned curriculum to the
toendure.The proposed measurement framework of SoTE defines nine different criteria. Each criterioncovers one part of the educational system and also the approach. Accordingly, each criterion hasits own set of key performance measures (KPMs). For every KPM, there is one or more keyperformance indicator (KPI) to enable the measurement. Every KPI has its own analytic rubricthat will aid the calculation of different indicators including a one main indicator called theSustainability Indicator (SI) – See Figure 2. The nine criteria are expanded into 34 KPMs.The sustainability criteria upon which we judge SoTE is shown in Table 1. Criterion 1,Leadership and Governance, measures the sustainability of the institutional strategic plans andthe degree of its
Nephrotex, we developed a coding schemebased on Safoutin and colleagues’ (2000) design attribute framework, which stems from ABETstudent outcome criterion 3c. Their original coding scheme consisted of fourteen elements: needrecognition, problem definition, planning, management, information gathering, idea generation,modeling, feasibility analysis, evaluation, selection/decision, implementation, communication,documentation, and iteration. We selected and modified 7 of the 14 codes that were applicable toNephrotex (Figure 5). We removed need recognition and modeling because students are giventhe needs statement and the modeling tools within the internship program. We removed ideageneration and implementation because students do not create a novel
formulating group and individualaction plans. The paper reports self-assessment and team-assessment using the instrument. The samplesize consists of 86 software engineering students of a junior class of a computer engineeringundergraduate program. The analysis includes “egoless” behavior of the class based on self-assessmentand team-assessment, as well as their correlation with determinants like gender, semester and cumulativegrade point averages (SGPA and CGPA).The next section discusses the background behind the problem of productivity in software organizationsfollowed by the research design of our experiment leading to analysis of the results and ending withconcluding remarks.BackgroundIn 1993, Potts claimed that ‘all the real problems in software
joint interaction.21 It demands that attention be equally paid toways in which these various relationships both shape and are shaped by one another. Sometimesthis plays out in the construction of a shared understanding, a plan of action or tensions. In orderto respect the nature of the meaning-making process however, it is imperative to look at theseinteractions in the context of the activity they constitute and are constituted by. Radford and Rothhave termed this as togethering,21 a concept we have adopted. We have chosen these twoconcepts over the idea of intersubjectivity because although intersubjectivity does focus on thedialogue and non-verbal interaction, it does not include the interaction with material mediationalmeans nor does it
times, so opportunities to discuss teaching concerns and plans with colleagues can be essential to building a professional attitude toward teaching.Implications for faculty developmentFrom its inception, faculty development at the Center for Engineering Learning & Teaching(CELT) has focused on promoting the best research-based teaching practices, but as Felder et al.(2011) pointed out in their review of engineering teaching and learning centers, there are otherimportant elements to consider when planning faculty development activities.[22] Those elementsrange from offering individualized consulting services to presenting teaching workshops togroups of faculty
from engineering; it also attracted others from across campusencompassing such diverse disciplines as education, library science, chemistry, biology, andatmospheric science. The group’s intended purpose was to lower the activation barrier to helpinterested faculty try flipping, by sharing group knowledge and experiences. Accordingly, thelearning community was planned as a “working” community where members would learn fromeach other as they redesigned and flipped their respective course(s) and created online material.The specific goals of this learning community were to: 1) Explore pedagogy of a flippedclassroom. What do students do within and outside of a flipped class? 2) Explore technologiesavailable to support flipping a course. 3) Flip
students), then integrate that advice into an action plan. • Students in a difficult circumstance are not always good at integrating and acting on advice. The UGO staff discovered that students often did not follow up with ODOS (which was always part of our advice), or if they did, subsequent follow-up with the UGO or ODOS was lacking. Students struggled to manage and act on the on-going conversations across the UGO and ODOS offices, especially when they are in a Page 26.1049.4 compromised state due to their circumstances. • ODOS was not near the engineering precinct. The ODOS offices are centrally located on
. Screencasts can be created by instructors or by students, and they can be used in a variety of ways. In this interactive session, we will share successful examples and discuss best practices for creating and using screencasts in and out of your classroom. It's time for action: Creating a plan to engage students in active learning is sometimes challenging. Generating an active learning In this workshop, participants will learn about a variety of active learning plan techniques and then formulate a plan for implementing active learning in their own course or for an advanced practice teaching
Page 26.331.16EngineeringGraduation Baseline 2012-2013 2013-2014 2014-2015 2015-2016 2016-2017Rate 5-year averageSix Year 44% 44% 45% 47% 50% 54%MethodologyAn evaluation plan utilizing both quantitative and qualitative data was implemented usinginternal evaluation tasks focused on data collection via surveys. The quantitative data wasanalyzed utilizing descriptive statistics while the qualitative questions were analyzed usingcoding and themes. The following evaluation questions were addressed: (1) How have projectactivities impacted retention and performance of engineering undergraduate students? (2) Howhave the project’s mentoring activities impacted the mentors
responsibilities without reducing the teaching load and quality ofinstruction. For example, George stated that he needed some efficiency in undergraduateteaching because he had heavy research and administrative duties, and hybrid learning was agood solution to balance all the work he had. Instructors also mentioned how hybrid format created flexibilities in students’ schedule.According to John, knowing that there would be fewer contact hours; students can plan theirpersonal life accordingly which is especially helpful for non-traditional students, students whohave part-time jobs or students who commute. This advantage was also highlighted by studentsin a previous research study conducted by the authors13. Self-paced learning is defined in
plausible.Maxwell4 makes recommendations for ways in which researchers can protect against thesevalidity threats, and several of those are particularly useful for observational data. The first isplanning for intensive, long-term involvement with the research study10. Little interpretation canbe made from one or two cases, but several observations made over and over again with similarpopulations can lead to trends and potential theories. Second, researchers should plan to collect“rich” data to get a full picture of what is happening in the observations11. Observers may verywell be effective at capturing all that is happening during an observation, but observationsbacked up with audio or video recordings allow researchers to go back and reexamine what
going on, but like it’s not that I don’t really care about where it’s going or why it’s useful, it’s that like my mind – like two months ago I didn’t even know any of the words existed that I’m like, that I wrote my poster with so it’s just like I suppose if I was working on it longer then I would be able to like start to care about that, but it’s like my brain won’t hold any more information right now.” Walter, interview 3, explaining how critical thinking is involved in planning an experiment: “You’ve got to think about how exactly you’re going to test, test like each individual variable. And that’s kind of where the critical thinking comes in. You kind of, you’ve got to have a
regard to the value ascribed to graduate student professional development, support for preparation for diverse career pathways, and the availability of, and support during, teaching opportunities • Structural dimension: The size and composition of programs that prepare students for academic careers, including, but not limited to measures of diversity of students enrolled, diversity of post-graduation plans, and frequency and duration of teaching experiences • Perceptual dimension: A doctoral student’s perception of peer, faculty, departmental, and institutional support for his/her career preparation and professional development • Behavioral dimension: Interactions among graduate students, program
foster the ability to weigh the complex issues surroundingvarious energy generation sources and the capability to develop strategies for reduced energyconsumption. In recognition of this prominence, the United States Department of Energy (DOE)has advocated for promotion of energy literacy through energy education in strategic plans, otherdocuments, and various events4,5,6. The DOE has devoted significant efforts to the developmentof a guide for general energy literacy principles to serve as the basis for educational efforts7. Energy literacy has been measured by testing broad energy knowledge through tests andquestionnaires. Such efforts have shown generally low levels of energy literacy both in children8,9,10,11 and
development engineering and manufacturing content expert. He develops and teaches all related engineering courses. His responsibility as a director of Center on Access Technology Innovation Laboratory include the plan- ning, implementation and dissemination of research projects that are related to the need of accessibility. He received his BS from RIT and his MS from Lehigh University. His last assignment with IBM was an Advanced Process Control project manager. He managed team members in delivering the next generation Advanced Process Control solution which replaced the legacy APC system in the 300 mm semiconductor fabricator. Behm has fifteen patents and has presented over 30 scientific and technical papers at various
importanttheoretical insights into the nature of learning and the determinants of academic performance6 and hasbeen used in many studies 7. Academic performance has been widely reported to correlate significantly and positively with thechoice and application of self-regulated learning strategies8,9. Because motivation and learning areinterconnected, researchers regularly seek better understanding of differential effects of various classroomvariables on students’ motivation to learn10. Achievement and self-regulated strategies have a notable relationship between them. Whilelearning strategies involve “a deliberate, goal-oriented action plan that a learner employs to control,regulate, and enhance his or her language learning” 11, the self
Process: Prescribe new environmental Change Process: Empower/support stakeholders to features that require/encourage new teaching collectively develop new environmental features conceptions and/or practices. that encourage new teaching conceptions and/or practices. Examples: policy change, strategic planning Examples: institutional
because of its size Denmark provides us with a kind of social laboratorywithin which to map out some of the responses that have been unfolding under Bologna. Thisbeing said, the institutional responses in Denmark are complicated enough to provide quiteinteresting things to report.The National Responses of DenmarkThe unique response of Denmark, along with the other Scandinavian countries, is partly due totheir social democratic traditions. While shortly after our visit there were student protests aroundthe planned reductions in government subsidy for students, historically Denmark has spent alarge percentage of its wealth on public education.9 Based on 2009 World Bank data, Denmarkspent 8.7% of its GDP on public education, as contrasted against
aspects of a perceived reality overothers30. Methodologically, the study is informed by the work of Emery Roe31 in the field ofapplied narrative analysis. Nicki, Jo, and their research team have also written elsewhere aboutdifferent aspects of their project4, 28, 32.Practice anecdotes: From making to handling dataThe following presents a series of practice anecdotes that span quality considerations along theentire research process from making to handling data. More specifically, anecdote 1 explores theearly conception and planning of a qualitative study, anecdotes 2, 3, and 4 examine theprogression of interpretive sense-making in the analysis stage and, finally, anecdote 5 deliberates
Paper ID #13356”Conceptual Change” as a guiding principle for the professional developmentof teaching staffClaudia M Walter, DiZ - Center for Teaching and Learning in Higher Education Claudia M. Walter has a Masters degree in Education from the University of Regensburg, Germany. Since 2005, she has been planning and directing faculty development workshops at the Center for Teaching and Learning of the Bavarian Universities of Applied Science (DiZ). In 2009, Claudia became the deputy director of the Center. She is currently pursuing her doctorate in Education on a topic related to faculty development.Prof. Christian H Kautz
gatekeeping courses. Among many factors to this failure, an important one isattributed to the lack of engaging pedagogy inside and outside classrooms. Through this NSFWIDER Program sponsored planning project, a team of faculty and administrators at AlabamaAgricultural and Mechanical University (AAMU) are implementing evidence-based instructionalpractices in foundation courses in STEM curricula. Recognizing that it is essential to implementeffective pedagogy in gateway courses where most attrition occurs, this project has conducted apilot study, which focuses on: (1) collecting baseline data about the extent to which evidence-based practices are currently being used in STEM gateway courses; (2) redesigning threefoundational gateway courses in
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
nature of the courses that they identified as their favoriteand least favorite. How engineering students approach and think about learning can substantiallyinfluence their success as students, completion of degrees as engineers, and their effectiveengagement in careers. Further, if instructors, advisors and administrators have a deeperunderstanding of the learning process and traits of students they can teach, advise and plan inways that enhance student success.As we answered our first research question it became apparent that engineering students’motivational goals for learning shift significantly and substantially from mastery in their favoritecourses to more of a performance approach in their least favorite courses. Our findings indicatethat
accurate interpretations of the items by engineering students, (2)accurate alignment of what the instrument is measuring as evaluated by content experts, and (3)support of the instrument and planned intended use of the instrument by education researchersand practitioners. The initial steps for validating the SCAEI presented here, steps which areoften overlooked or ignored by instrument developers [12], have provided valuable informationfor the development of the SCAEI.These results also indicated social and behavioral context that engineering instructors shouldconsider when planning classroom activities. Specifically, the engineering students perceived“arguing” or “defending” ideas as something that is disrespectful to the instructor. If
higher education. For a number of years within engineering education, engineeringaccreditation boards in the US, Canada, and internationally, have recognized lifelong learning asone of the key competencies of engineering graduates. Characteristics of the lifelong learnerinclude the ability to “set goals, apply appropriate knowledge and skills, engage in self-directionand self-evaluation, locate required information, and adapt their learning strategies to differentconditions” (p. 292-293)1, 2. Inherent in these skills of lifelong learning is the ability for one to bea self-regulated learner with the ability to plan, monitor, control, and adjust his or her behaviourto achieve a desired outcome. In a learning context, self-regulation is highly
, the value of establishing amathematical model became apparent; this proposed model is planned to account for andmeasure such phenomena. Toward this objective, introducing an expansion of the binary systemto include “depth of coverage” or emphasis of a topic is an integral component of the model.Application 2: Testing the SchemeAnother study of applying the classification scheme occurred during a National ScienceFoundation sponsored workshop at the First Year Engineering Experience Conference in 2013.During the workshop, samples from 28 different classified courses were collected and analyzed.4The study used two different methodologies, namely by course and by outcome analysis. Bycourse analysis involves the examination of the whole course
a consulting engineer working for various firms including: Parsons Engineering Science, Appian Consulting Engineers and Marshall Miller and Associates. As part of his experience, Dr. Schaad has: designed waste water treatment systems to address industrial and domestic waste streams; developed designs of storm water control structures and strategies to ad- dress water quality and quantity; designed fluid transport systems to replace water supplies impacted by anthropogenic sources; designed fuel transport and delivery systems; developed designs for commercial and residential development; prepared land use plans; developed designs to protect against potential flood hazards; designed and developed plans and