appropriate for any given program requiresspecifying an evaluation logic model that is based on theory and/or knowledge of the behaviorbeing addressed, i.e. pursuing education and careers in STEM. The WE@RIT has specified abasic logic model shown in Figure 1. This model assumes that young women who areintroduced to science will have an interest in STEM and gain knowledge and competency aboutSTEM and STEM career options will commit to STEM education and pursue STEM careers.The behavioral logic model also specifies a number of variables that have been shown toinfluence each of the major areas of the model. Interest is influenced by the individual‟sperceptions of norms related to science. For young girls the most notable is the persistent genderbias
, access to cognitive tools and resources, and appropriate and timelyscaffolding29. Students perceive matter as continuous or static. This might be reflected in theirdrawings as indistinguishable markings (lines or colored region) mixed together to represent asubstance30. Matter is thought to be appearing and disappearing which is counter to the theory ofthe conservation of mass. The graphical shape, proximity and arrangement of particles is anindication of students wrestling with particle ideas. Formal representation of particles is oftenconceived in terms of a ratio of molecular spacing between a solid-liquid-gas as being 1:1:10(the difference between a solid and liquid representation is in configuration and not proximity).Students have similar
required to function in work and homeenvironments characterized by increasing technological sophistication. A decade ago, the GlennCommission Report 1 voiced grave concern that declining performance and interest in STEMsubjects among U.S. students would significantly impact efforts to increase the size of atechnical workforce already too small to meet the hiring needs of the nation’s firms, that werepoised to face drastic reductions as Baby Boomers reach retirement age. Since the release of thatreport, STEM education reform has been a growing priority of both government and privatesector agencies, as reflected by a proliferation of STEM initiatives at national, state, and locallevels
highschool students.I. IntroductionSensors are ubiquitous in everyday life in the modern world. From motion-sensing light switchesto environmental observatories, we are always connected to our physical world in real time. Thesensor revolution is, in effect, giving the world its first electronic nervous system [1]. Theclassroom integration of sensor development is topical and offers highly interdisciplinary subjectmatter, providing motivating scenarios for teaching a multitude of science, technology,engineering and mathematics (STEM) subjects and skill sets.This paper describes the development and implementation of a carefully scaffolded set of highschool curriculum modules, tied to the state and national standards in science, math, andtechnology
dayevent at PSU, each student has been involved in several hands-on, applied science and mathprojects that have reinforced their understanding of S.T.E.M topics. Page 22.1647.6Bibliography 1. Audo, Dennis; Seth O’Brien. Construction-Related Activities for Students in 1st-8th Grade. ASEE 2010 Annual Conference & Exposition, June 20, 2010, Louisville, Kentucky. Page 22.1647.7
Secondary Level Engineering Education Numerous K-12 engineering initiatives have emerged across the U.S.1 These initiativeshave generated considerable interest within the science, technology, engineering, andmathematics (STEM) education community and beyond. Potential positive outcomes includeenhanced student achievement, increased awareness of engineering, and increased levels oftechnological literacy.2 However, a recent study of engineering-oriented teacher professionaldevelopment projects detected some significant concerns.3 One disturbing finding was the lackof a well-defined concept base. In the absence of a conceptual foundation, pre-collegeengineering tends to focus on engaging design-based activities without an appropriate
as co-teachers, mentors, and role models in the academic year and summer portions of the program. Page 22.1514.2The mission of the VDP is to: (1) increase the numbers of domestic students, particularlystudents from under-represented groups, pursuing STEM degrees by enhancing student interest in and attitudes toward math and science, (2) strengthen peer, family and school support for suchinterests, (3) ensure long-term inclusiveness of women and minorities in STEM programs, and(4) increase the number of students taking advanced-level mathematics and science courses. Byincreasing students’ interest in STEM content in their middle-school years
and monitoring as an outcome of portfolioconstruction by engineering students in the context of a studio environment.IntroductionIn comparing what you have with what you want to have, whether it is something learned or amaterial product acquired, there is a mutually informative relationship between your reflectionsand actions taken toward achieving goals and the continued definition and re-definition of goalsover time.1-3 In this paper, we describe the relationship between goal setting and goal monitoringin its various instantiations as a dialectic; that is, an exchange of arguments and counter-arguments about students’ goals and their progress toward achieving them.Goal setting and monitoring are activities that can lead to increased levels
community at any given time. In this paper, we also provide adetailed description of the algorithms, workflows, and the technical architecture we use to makesense of publications, conference proceedings, funding information, and a range of otherknowledge products. We plan on announcing its open availability to the EER community.1. IntroductionIn today’s globally competitive economy, success is increasingly driven by knowledge andintellectual capital. Academic communities that have developed a corpus of knowledge artifactsover decades or sometimes centuries of research are uniquely positioned to capitalize on theirexpansive knowledge bases. Yet, this process is fraught with difficulties. To be innovative, anorganization [or community] has to be
MEAs, Paper Plane Challenge, Just-In-Time Manufacturing, and Travel Mode Choice,were implemented in Fall 2008. For MEA 1: Paper Plane Challenge student teams used data toconstruct a procedure (model) for judging paper airplane contests, for MEA 2: Just-in-TimeManufacturing student teams provided a model for ranking shipping companies, and for MEA 3:Travel Mode Choice student teams developed a model from data to make predictions aboutstudents’ transportation choices in order to inform a university’s master development planningprocess. A more detailed description of these MEAs is provided by Zawojewski, Diefes-Dux,and Bowman3. The MEAs were part of a required problem-solving and computer tools course inthe first-year engineering program
. Analysis of the data included an exploratory factoranalysis and reliability tests to ascertain the construct validity and reliability of the survey. Factoranalysis was conducted with oblimin rotation with the 24 items of GTA roles. The eigenvalue-greater-than-one rule was initially used in combination with a scree test to determine the numberof factors that would appropriately represent the concept of GTA roles and responsibilities. Theresults indicated a four-factor structure, accounting for approximately 54.03% of the totalvariance. Based on the four-factor structure that an exploratory factor analysis indicated, weconceptualized four categories of GTA roles and responsibilities; 1) clear communication, 2)student management, 3) preparation for
understanding of students’problem solving procedures and being able to identify student misconceptions and differentSTEM (Science, Technology, Engineering, and Mathematics) constructs.I. IntroductionHow to best prepare engineers to be successful from the start in the workforce is an importantquestion. One important way to prepare students to be engineers is with real world engineeringproblems. This is vital because there is a need for students to become more interested in STEM(Science, Technology, Engineering, and Mathematics) fields in part because there has been aconstant amount of students finishing degrees in STEM fields in the last fifteen years but thenumber of jobs in STEM fields has grown.1 Keeping students interested in STEM throughout K-16 is
pre- andposttest problems, as we have found that students can typically complete such problems inunder 10 to 15 minutes. Because of the limited time available for each study session, wedid however, constrain viewing of the tutorials to 10 minutes. Students typically completedviewing the tutorials in less than the allocated time. Students were expected to completethe posttest problem without referencing the tutorials. Below, we describe the problems Page 22.1452.5Figure 1: Belt friction tutorial problem. The student is asked to determine the force on thelever necessary to resist the moment applied to the flywheel.Figure 2: Belt friction problem A. The
solution-led, this perception changed aftertaking the human-centered design course which emphasizes the importance of user research inthe design process.IntroductionThe role of engineering design educators is to guide engineering students in the development oftheir conceptions of engineering design and the design process. These conceptions of designconnect to each designer’s Design Identity, “sets of beliefs, attitudes, and values about design”1.This can include how a designer defines characteristics of good design, the design process,designers’ responsibility, the role of evaluation in design, and how that identity views andinterprets alternate perspectives1. These perspectives on engineering practice ultimately play arole in critical
innovation: theenvironments, motivations, skills and experiences that are part of each expert’s mental model.Finally, the interviews elicited the elements and approaches to innovation education that are mostaligned with each expert’s mental model. The result is a scheme of how each expert thinks aboutinnovation and the implications for innovation education.Elements of Expert Mental Models of InnovationWe used a fishbone diagram as the initial framework for organizing information from the expertinterviews, The key elements from the mental models interviews are integrated into a compositediagram (Figure 1), which references both promoters and inhibitors of innovation success
toconsider the implications that APS findings have for their campuses. The session will offerparticipants a chance to think about connections between APS research findings and soundeducational practices on their campuses, given campus-specific engineering programs, collegeculture, and student body. Participants will be introduced to a selection of APS results and a setof ―local inquiry questions‖ that have been informed by the APS research. These questions willbe used in the session to probe educational issues of interest to the participants.Overview of the Special SessionThe special session consists of three parts: (1) an overview presentation by the APS team; (2)smaller group discussions and guided activities around the local inquiry questions
measurementframeworks: Classical Test Theory (CTT) and Item Response Theory (IRT); and (b) toinvestigate its relationship with academic-related variables to provide validity evidence.Approximately 600 freshmen enrolled in the fall 2010 FYE Program in a large Midwesternpublic university completed the Revised PSVT:R. Students’ academic performance, such asSAT/ACT subject scores and high school core GPA, were retrieved from the university archivesalong with students’ demographic backgrounds. The results indicated that the revised PSVT:Rmeasures a unidimentional subcomponent of spatial ability and the scores are reliable formeasuring spatial visualization ability of FYE students. They also indicated that the test isrelatively easy for this population.1
Educational Objectives of value to the program?Under the newly-adopted Harmonized Criteria, there are four main components to the concept ofProgram Educational Objectives as defined by ABET, the first two components being containedunder Criterion 2 while the last two components are contained under Criterion 4: 1. “The program must have published program educational objectives that are consistent with the mission of the institution, the needs of the program’s various constituencies, and these criteria.” 2. “There must be a documented and effective process, involving program constituencies, for the periodic review and revision of these program educational objectives.” 3. “The program must regularly use appropriate, documented
is in figure 1. Figure 1. UAV Ground Control GUIThe students began their work with GNU Radio and GRC as a basis for their initial experimentswith the data link. While the GNU Radio software worked well initially, the UAV team rapidlyfound it to be limiting and created their own blocks. They used the GNU Radio blocks as astarting point and integrated them into a master controller process both for the UAV and theground station. In addition, the students developed their own packet protocol for the bi-directional data link, a process that was greatly facilitated by using SDR.The engineering performance is impressive. The UAV Team has perfected a communicationslink using the USRP and their own software based on the GNU
University in San Luis Obispo we have taken the position that magnetic designis a critical design skill set to electrical engineering that it has had for a long time a technicalelective course in magnetic design5. The course is numbered EE 433 entitled “Introduction toMagnetic Design” whose description is as follows6. Design of magnetic components. Fundamentals of magnetics, magnetic cores, design of power transformer, three-phase transformer, dc inductor, ac inductors, dc-dc converter transformer design, actuators. Use of commercially available software. 3 lectures, 1 laboratory. Prerequisite: EE 255&295 or consent of instructor.In 2008, the course underwent a major revision to cover more applied topics and to introducenew laboratory
Engineering and ElectricalEngineering. We show how the project met not only technical requirements, but also the courseobjectives of following the proper engineering design process. This paper includes theassessment methods used and lessons learned.1. IntroductionAll engineering majors at the US Air Force Academy complete a year-long, multidisciplinarydesign course. In addition to teaching cadets the proper engineering design process, the courseprovides cadets with opportunities to exercise their skills and knowledge obtained throughouttheir engineering programs. The team-based approach not only allows us to take on larger andmore challenging projects, but also gives students the experience and management challenges ofworking effectively in a
. For example, one reason forchoosing the mean as an estimator is that it minimizes a loss function equal to the mean squarederror. If instead we were to choose average absolute error as our loss function, we would findthat the median is a preferred estimator.GeneralizationsExamining this list of engineering applications of probability and statistics, we can identify a setof skills in probability and statistics that must be mastered in order to accomplish them. 1. Calculate sample means and experimental standard deviations for data sets 2. Find confidence intervals for measured values, selecting an appropriate distribution for the measurement process. 3. Use least squared error fitting techniques to find best fit parameter values for
. The main goals of our project are to improve the teaching andlearning environment, increase the interactivity between the instructor and students in class,promote active learning and critical thinking, and, thus, enhance student learning in ourelectrical/computer engineering programs. Through collecting and analyzing assessment data,we can see that (1) Tablet PCs allow instructors to make a better preparation and demonstrationof the content to be taught in class; (2) the in-class interactivity among the instructor and studentsis improved, which benefits active learning; and (3) the recording of in-class lecture notes makeit easy for instructors to refer to the content taught before and for students to review and catchup. Meanwhile, we have
design a system, component, or process to meet desired needswithin realistic constraints such as economic, environmental, social, political, ethical, health andsafety, manufacturability, and sustainability” has gained sufficient value to deserve its ownABET Program Outcome, Criterion 3(c). This work presents a strategy to introduce students tothe relevant issues before senior design coursework, thereby providing practice and enablingthem to achieve such a program outcome more skillfully in senior level classes. Key practicalchallenges arise when attempting to add learning content to a one-quarter electronics coursealready bursting at the seams with conceptually challenging learning outcomes: 1. No extra class time exists in which to
design the lab space for research became available. While the development of the lab startedon a small institutional grant, proposals for future funding have been submitted to nationalagencies. The successful experience in lab development discussed in this article can be ofinterest to other instructors with similar targets.INTRODUCTIONLaboratory activity is essential for student success and preparation for industry, research, andreal-life work [1, 2]. Setting up a new lab or improving the ones in place [2-4] is always achallenging task. Laboratory development is often one of the important tasks assigned to newfaculty, who normally have good research experience but have not yet acted on their own tomanage funds, select suppliers, make purchases
almost an year now, teaching both undergraduate and Postgraduate courses in English. Published pa- pers in intramural and extramural publications. Presented papers at several conventions, conferences and seminars.Mr. Amithraj Amavasai Page 22.490.1 c American Society for Engineering Education, 2011 DEVELOPMENT OF BEST PRACTICES FOR NEW ENGINEERING AND MATH EDUCATORSAbstractThe objectives of this study are to (1) provide new engineering and math educators with the bestteaching practices and (2) document improvements in the effectiveness of mentee’s teaching
well. To date,there have been over 35 million viewings of the Khan Academy videos. His knowledge andvideos are now helping students all over the world develop better academic skills4.In Figure 1, the progress of 30 eighth graders using Khan Academy over a course of six weeks Page 22.491.3can be observed. The horizontal axis shows the days that the students had been working on thesite and the vertical axis shows the modules that the students had completed. The black linetraces the average progress of the students, and the green line represents the standard deviation(one above average and one below average). The purple line represents a special
Development of an Engineering Ethics CourseIntroductionCriterion three of ABET's Engineering Criteria 2000 requires engineering programs todemonstrate that their graduates have “an understanding of professional and ethicalresponsibility”1. The field of engineering ethics examines and sets standards for engineers’obligations to the public, their clients, employees and the profession.2 In the course of practicingengineering, an engineer solves problems. The engineering decisions are generally guided by theproject management variables of cost, schedule and quality. But engineering decisions are alsoguided by moral values; concern and respect for others. Gaul Baura in “Engineering Ethics”states: “The corporate culture is very powerful and can sway a
technology.The key general themes or characteristics desired for the projects are listed in Table 1. Theprojects should focus on technologies that are important to daily life. The term core technologieswas adopted to describe technological devices and systems that are common because they areparticularly influential in some way. This was seen as important for both the non-engineeringstudents and the engineering students. For the non-engineers it is important to promote anunderstanding of foundational technologies to establish a knowledge base for life long learning.For students who may be continuing on in engineering, establishing a familiarity with influentialtechnologies helps to establish prior knowledge and a context for more detailed advanced