Paper ID #23384Early-career Plans in Engineering: Insights from the Theory of Planned Be-haviorTrevion S. Henderson, University of Michigan Trevion Henderson is a doctoral student in the Center for Higher and Postsecondary Education (CSHPE) at the University of Michigan. He recently earned his master’s degree in Higher Education and Student Affairs at The Ohio State University while serving as a graduate research associate with the Center for Higher Education Enterprise. Trevion also hold’s a Bachelor’s degree in Computer Science and Engineer- ing from The Ohio State University, where he served as a research assistant in
studies in Canada and the United States as well as large-scale national projects. She has presented at national conferences and published in journals in the area of health psychology. Jodi has been involved in STEM evaluation for the National Center for Engineering and Technology Education since May 2007. Page 14.668.1© American Society for Engineering Education, 2009 High School Teachers Engineering Design Lesson Planning through Professional DevelopmentKey words: Professional Development, High School Teachers, Engineering Design “The vast majority of Americans will
Paper ID #21635Understanding the Socializer Influence on Engineering Students’ Career Plan-ningRohini Abhyankar, Arizona State University Rohini Abhyankar is a second year graduate student at Arizona State University’s Engineering Education Systems and Design doctoral program. Rohini has a Master’s degree in Electrical Engineering from Syracuse University and Master’s and Bachelor’s degrees in Physics from University of Delhi, India. Rohini has over ten years each of industry and teaching experience.Dr. Cheryl Carrico P.E., Virginia Tech Cheryl Carrico is a part-time faculty Research Scientist for Virginia Tech and owner
Paper ID #17359Golden Eagle Flight Plan Online: A Web-Based Advisement Tool to FacilitateDevelopmental AdvisingDr. Chengyu Sun, California State University, Los AngelesDr. Deborah Won, California State University, Los Angeles Deborah Won is an Associate Professor in Electrical and Computer Engineering at California State Uni- versity, Los Angeles. Her specialization is in Biomedical Engineering and her scientific research area focuses on neuro-rehabilitative technology. Her educational research interests include use of Tablet PCs and technology to better engage students in the classroom as well as pedagogical and advisement ap
graduating students to pursue and achieve theirperceived success.This is a Research Paper and Evidence-Based Practice Paper to explore how graduatingundergraduate engineering students conceive of career and personal success. Through aqualitative review of “vision plans” students create to map to their first 5 to 10 years post-graduation plans, we have categorized areas for success that include themes of production,experience, character and relationships. Through in-class exercises in a senior year (non-capstone) course on professional orientation and a freshmen class orienting students to college,30 students used exercises and assignments that have them use design thinking, networking, andinformational interviews to better identify and understand
Development of an Assessment Plan for a New Sequence of Design CoursesAbstractA new sequence of mechanical design courses was developed at California State University,Northridge to improve the integration of design concepts into the mechanical engineeringcurriculum. The new courses were created using the Conceive-Design-Implement-Operate(CDIO) framework as the context for engineering education. Key goals of the new sequence areto increase student performance and retention, particularly in the first two years of the program.Courses in the new sequence were part of a significant mechanical engineering program change,and are being offered for the first time in the Fall 2009 semester. A key
Paper ID #8669Engineering Practice in the Academic Plan: External Influences, Faculty, andtheir Teaching RolesMr. Michael Geoffrey Brown, University of Michigan Michael is a second year doctoral student at the University of Michigan in Higher Education. His research interests focus on organizational communication and curriculum planning in post-secondary education.Dr. David B Knight, Virginia Tech Department of Engineering Education David Knight is an Assistant Professor in the Department of Engineering Education and affiliate faculty with the Higher Education Program at Virginia Tech. His research focuses on student learning
AC 2011-769: PREDICTING GRADUATE SCHOOL PLANS BASED ONSTUDENTS’ SELF-ASSESSED ENGINEERING KNOWLEDGE AND SKILLSHyun Kyoung Ro, Pennsylvania State University Hyun Has been working as a graduate assistant on the Engineer of 2020 research grants that the Center for the Study of Higher Education received from the National Science Foundation at Penn State. Page 22.1167.1 c American Society for Engineering Education, 2011 Predicting Graduate School Plans Based on Students’ Self-assessed Engineering Knowledge and SkillsAbstract U.S. production of STEM graduates
. Page 13.166.1© American Society for Engineering Education, 2008 Aligning Student Learning, Faculty Development and Engineering Content: A Framework for Strategic Planning of Engineering Instruction and AssessmentAbstractThis paper outlines an innovative framework for modeling and planning engineering educationassessment interventions. The theoretical bases for the framework are primarily derived andintegrated from research methods and findings in several different disciplines - humanengineering, engineering education, human communication sciences and, mathematicalmodeling using statistical and neural network approaches. The framework consists of four keyelements – the task of instruction, the players
. c American Society for Engineering Education, 2016 What Do You Want to Do with Your Life? Insights into how Engineering Students Think about their Future Career PlansAbstractThis research paper describes findings from a qualitative analysis of engineering students’ self-reported future career plans on the 2015 Engineering Majors Survey (EMS). The EMS wasdesigned to examine current engineering students’ career goals, especially surroundinginnovative work, and is based in the theoretical framework of Social Cognitive Career Theory(SCCT). With the open-ended responses on the EMS, we can develop a deeper understanding ofstudents’ plans in their own words, providing insights into how they think about their careers andwhy they
’ Academic and Career PlansAbstractUndergraduate research experiences in engineering have recently received significant interest asmechanisms for attracting undergraduates to graduate-level work. In particular, the NationalScience Foundation’s Research Experiences for Undergraduates (REU) initiative aims to recruitstudents to careers in research. Our work employs a social cognitive theoretical framework toinvestigate how participation in a summer undergraduate research program influencesparticipants’ academic and career plans (specifically plans to pursue a Ph.D.) and their self-efficacy for future scientific research. A mixed-methods approach, incorporating surveyinstruments, interviews, and weekly self-reflective journal entries, was utilized to
the University of Toronto in Canada and a Master’s Degree in Engineering Sciences from Pontificia Universidad Cat´olica de Chile. His research focuses on areas of automated rea- soning in Artificial Intelligence; specifically, automated planning, search and knowledge representation. Currently his research focuses on understanding how machine learning techniques can be applied to the in- telligent decision-making process, on the applicability of reasoning techniques and learning to databases. He is also an assistant researcher at the Millennium Institute for Foundational Research on Data. c American Society for Engineering Education, 2019WIP: Engaging engineering teaching staff with
the concept of dual degreeprograms is consistent with recommendations contained in recent reports regarding therelationship between undergraduate and graduate education (advocating that we move towardsthe master’s degree being the professional engineering degree7,8).With more schools adding dual degree programs, we believe that schools need a greaterunderstanding of how students decide to pursue a dual degree or other graduate degree. Theinformation about this decision process should enable programs to better support their students’in this phase of their education and career planning. It will also give schools insights into how tostructure effective dual-degree programs to support the students considering graduate workthrough a dual degree
is a second year doctoral student at the University of Michigan in Higher Education. His research interests focus on organizational communication and curriculum planning in post-secondary education. Page 24.745.1 c American Society for Engineering Education, 2014 Influences on Engineering Instructors’ Emphasis on Interdisciplinarity in Undergraduate CoursesIntroductionSolving many of today’s technological and social challenges will require interdisciplinarythought and action1-5, and the growth of interdisciplinary engineering programs6 suggests that
Reports***4. Metacognitive 4. Metacognitive 4. Metacognitive 4 MetacognitiveProcesses Processes Processes*** Processes*** a. Metacognitive a. Metacognitive a. Metacognitive a. MetacognitivePlanning Planning*** Planning*** Planning*** b. Metacognitive b. Metacognitive b. Metacognitive b. MetacognitiveAssessing Assessing Assessing*** Assessing*** c. Metacognitive c. Metacognitive c. Metacognitive c. MetacognitiveMonitoring Monitoring Monitoring*** Monitoring***5. Cognitive Skills 5. Cognitive
gathering 2 2 Gather information and resources (observe) organization3 Concept Selection 3 Idea generation4 Conceptual 3 Form an explanatory hypothesis Monitoring combination 4 Idea evaluation5 Idea generation Design and Perform an experiment and 5 Planning 46
,synthesize, and use information when developing user requirements and engineeringspecifications. Understanding how students process information gathered during design mayallow instructors to counter the common mistakes students make when developing userrequirements and engineering specifications. Furthermore, research in this topic outside ofsoftware engineering is needed to determine whether the lessons learned in softwaredevelopment can apply to other disciplines, such as medical device design.Research DesignStudy PurposeThe following research questions motivated this study: How do students’ plans compare with their execution of the front-end phases of design with respect to gathering, synthesizing, and using information? Which
demand put on the participant by the taskand three measuring stress added by the participant as a result of interacting with the task.Statistical analysis of solution data for the three problems (related to efficiency of a multi-stagesolar power system, formulating an equivalent circuit, and solving for the total pressure in asystem) produced interesting results related to planning and visualization tasks such asorganizing information at the beginning of the problem and drawing a visual representation ofthe system. Statistical comparisons revealed that students who conducted a complete planningphase were more likely to obtain correct solutions (p=0.05) and students who drew diagramswith labels that illustrated the relationship of variables were
experience. While the program had manyobjectives, a principal goal was to provide teachers confidence and then a means to incorporateengineering principles in their teaching of math, science, and technology topics in theirclassrooms. The formation of stratified teams was a critical component of the program. In total,there were X labs each with a different research focus, biomechanics, educational computing,sustainable energy, and organic electronic devices.By creating teams of individuals with different educational and professional backgrounds, weintended to foster cognitive diversity within the groups. Cognitive diversity as a construct islinked with increased outcomes [6]. One such outcome was the development of an engineeringinformed lesson plan
inception, helps with the project planning (and ifbrought in early enough, with the proposal writing), continually assesses the implementation, andprovides feedback that can keep the project from going off the rails and greatly improve thechances of its achieving its goals. This process has elements in common with continuous qualityimprovement in industry and with the CQI process associated with the ABET EngineeringCriteria, and so it should not be foreign to engineering educators. In a search of papers in theJournal of Engineering Education and ASEE conference proceedings, however, many papersreported outcomes evaluations of projects but few mentioned any formal implementationevaluation.The following questions should be addressed periodically when
moreinteractive, presenting things in video or audio formats. The course outline and the results fromthe summative and formative assessment will follow. Page 14.1158.3Course Design and AssessmentThis is an introductory material science course which requires some "lower level" learning, i.e.,remembering basic information and concepts. Expanded outcomes also help impart confidenceand some higher level learning including problem solving, critical thinking, and creativethinking. The Castle Top course design created by Dee fink was utilized to plan the course. Theuniversity is a Blackboard campus so the tools from that website are used in the plan
Industrial Engineering (MIE) in the COE has modified itscurriculum to include a course, which addresses essential life and career skills to its students intheir final semester. The course addresses challenges ranging from how to deal with financialpressure, seeking career opportunities, time management, workplace etiquette, and othernecessary skills. It consists of five different modules: Financial Planning, Effective Job Hunting,Accelerating Your Career, Learning Never Stops, and Entrepreneurship. Modules utilizemethodologies from experiential learning theory to enhance student learning and contribute tothe body of knowledge of teaching methods in STEM.An initial assessment was performed to measure the impact of this course and its modules.Metrics
engineering programs believe that pursuingan engineering degree is what they are supposed to do. At the same time, they do so whilemaintaining good academic standing. Other students will proceed with their programs withdiligence even when things do not go as planned. One example of a student that persisteddespite not being at the top of his class was found in Brian*, a male petroleum engineeringmajor. During his second year, he indicated that he was very committed to getting a degree inengineering. He pointed to the number of times that he had to retake some of his courses, andhis insistence that “I will stay here as many years as I have to, to get my petroleum degree”, astestimony to his persistence. In the end, he declared, “if I wasn’t committed
out a box, like a rectangle with a laser cutter, and I added this cool design on there as well. Overcome 9% I'm ready for any challenge … I have to keep trying even though if, like sticking say when the computer was shutting down on me, I just didn't give up. point Not give up when I have sticking points, but keep trying. Multi-step 13% My confidence level is pretty high. We've got a project going on, plan actually, we're in the process of just the very basics of creating a vacuform table, so we've started a base. We're attaching the legs very soon… Project 9% I think that's a pretty easy project
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
settingup linkages with industry which often leads to employment opportunities for graduates, co-opactivities, and potential development of collaborative research programs. Unfortunately, adjunctsare marginalized by the academic systems in place today; and their contributions to the academicprocess are undervalued. Next, the paper reports on the success story of an adjunct, a practitionerwith good credentials, who “teamed-up” with a “full-time” faculty, in an attempt to bring thepractice to 4thyear students in a geotechnical/ foundation engineering class. The success achievedin meeting course objectives, was attributed, in large measure, to proper planning andcoordination that preceded course delivery. Plus, the willingness, experience and
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
alumni are a common approach taken by departments to collect evidencedemonstrating how educational objectives are being met for the purpose of continuousimprovement of the program (ABET Criterion 4). While survey administration tools havebecome widely available and easy to navigate, researchers must still address the challenges ofdesigning not only a concise survey instrument but also an effective deployment plan that resultsin a high response rate among targeted respondents.To explore these issues in a real world context, this paper draws upon first hand experiencesrelated to the planning of the Pathways of Engineering Alumni Research Survey (PEARS) whichwas piloted with geographically distributed engineering alumni from four institutions in
., analyzing the effects of a curriculum revision and assuming no courses aretransfer-friendly. To address this gap in the literature, we adapt the curriculum complexityframework to capture challenges vertical engineering transfer students may encounter in theirpathway to a four-year degree. IntroductionSuppose we wanted to quantify how much more accessible a curriculum becomes whenremoving a prerequisite to a particular course. How would we do it? We could wait a few yearsto calculate the typical metrics related to retention, observing the flow of students through thatportion of the curriculum. On the other hand, a method drawn from graph theory does not requireus to wait. In fact, all we need is the plan of
college of engineering.When organizing a departmental or programmatic effort, logistical decisions can dominate andobscure the underlying organizing theory for the effort. Consistent with NSF’s calls for a greaterunderstanding of theories of change, we connect the explicit and implicit organizing philosophiesunderpinning the innovative approach to enacted institutional plans and approaches. We draw onHenderson’s theoretical models of Institutional Change in higher education to clarify the chosenapproach to transformation. We also draw on a complex systems perspective as a guidingphilosophy to conceptualize change in the interconnected human, institutional, and socialstructures of our engineering college, and on boundary spanning to address the