securing jobs and employment4, 5. AtPurdue University Northwest, graduates of the Master’s degree program have had similarexperience. However, once the enrollment hit triple digit numbers, a “coursework only” optionhad to be introduced to address 1) the needs of those who were already working, 2) the limitationthat the faculty number presents in such growth and 3) the needs of, and issues faced with, onlinestudents.In this paper, the issues and strategies used to create, implement, and sustain the program arediscussed. Such issues include: limitation of financial resources, flexibility of the program, andcurrency of the program to address the needs of industry, delivery modes, as well as recruitmentto sustain high enrollment.Initial Stages of the
lack of interest and aptitude in science,technology, engineering and math (STEM) disciplines. While most teachers are well versed inmath and science through their formal education, very few have experience and/or educationalbackgrounds in engineering and technology. Engineering is widely viewed as the application ofmath and science for the betterment of humanity. Presenting students with engineering andtechnology instruction will allow them to better understand the different aspects and interactionsamong the STEM disciplines. Given the prominence of engineering in both state [1] and thenational Next Generation Science standards [2], this is a critical need. The work in this NationalScience Foundation (NSF) Innovative Technology Experiences for
toincorporate the work of the project into their coursework. Others worked on the project in apurely volunteer manner.Expectations for team unity were not explicitly addressed. As a result, the project progressed asa team of teams. CM students acted as the hub around which the subsidiary teams operated.(See Figure 1) While this approach held certain inherent benefits (the ability for elements of the project to progress in parallel, for example) it also had Interior Design some negative impacts on the ability of some sub-teams Students (3) some course
mathematics and science. Project TESAL (Teachers Engaged in Science And Literacy)is a three year Math Science Partnership providing proximal context for developing this model.Project TESAL involved two weeks professional development each summer, two days eachsemester, and classroom observations/support. Teachers participated all three years and createdthen implemented and refined two lesson plans per year. Project TESAL involved 24participating teachers from four counties with 41% to 67% low-income students, less than 80%highly qualified mathematics or science teachers, and below average mathematics and sciencetest scores in a state well below the national average.Our model includes the following steps:Step 1: Identify mathematics and science
Distinguished Teaching Award at NYU. His scholarly activities have included 3 edited books, 8 chapters in edited books, 1 book review, 59 journal articles, and 133 conference pa- pers. He has mentored 1 B.S., 21 M.S., and 4 Ph.D. thesis students; 38 undergraduate research students and 11 undergraduate senior design project teams; over 400 K-12 teachers and 100 high school student researchers; and 18 undergraduate GK-12 Fellows and 59 graduate GK-12 Fellows. Moreover, he di- rects K-12 education, training, mentoring, and outreach programs that enrich the STEM education of over 1,000 students annually. c American Society for Engineering Education, 2017 Building Trust in Robots in Robotics-Focused
and academics institutes. We sought their views as theywere at the helm of affairs and, perhaps, role models for today’s youth and impacting theirthought processes. We devised a questionnaire, sent them in advance and then conductedaudio-visual interviews. Since the CEO’s had decades of successful experience, we alsoincluded open-ended questions to provide them adequate space for genuine expression.The present level of ethics averaged to 2.87 and the 2020 prediction stood at optimistic 4.5,on the scale of 1 to 7 (7 being the best). We also asked CEOs, reasons for present poor rating,optimism for 2020, the causes behind present status and of course the remedial measures.The major reasons included pressure to achieve results, especially short
to improve understanding use of these tools.IntroductionOne of the most important things we do in educating engineers is to transfer knowledge offundamental physical principles. In the process of educating, we must then break downmisconceptions. These misconceptions can be difficult to change, requiring overwhelmingevidence or a “crisis” to change from the normal beliefs [1]. In the experiment described below,students use a common water aspirator to drop the pressure of a volatile liquid in a flask. Use ofa relatively large volume that students can touch gives them the experience of using multiplesenses to help bring them to the point of “crisis” in their own theories of what is required tomake a substance boil.While teaching Thermodynamics
small 7" monitor to dis-play the results in real time to the user. An Arduino board is used for data acquisition from theencoder and load cell, and this is connected to a Raspberry Pi computer, which is in turn con-nected to the monitor. A wireless keyboard with an integrated track pad was used to interfacewith the machine, whose output is shown on the small 7" monitor.1 Pedagogical ContextThe field of materials science is focused on connecting the concepts of structure, processing,and properties of materials. Materials science textbooks [4] often begin with the topic of struc-ture, then move on to properties and processing. Many students have difficulty seeing the im-portance of studying structure, even though the structure of materials
features of CAD packages allowthese molds to modelled and then exported to rapid prototype machines. These molds do notpossess the structure of metal molds but are sufficient for casting silicone parts. This processallows for fast feedback on design functionality while minimizing cost and tooling productiontime.Required Materials:The following materials where used for the casting process: 1. 3-D extrusion printer, MakerBot Replicator 2 2. 1.75mm MakerBot PLA filament 3. SolidWorks 2014, Educational Edition a. Mold Tools Add-In 4. DAP 100% silicone caulk 5. Argo 100% Corn Starch 6. Rubber Bands 7. Balance 8. Mixing plate and utensils 9. PAM no-stick cooking spray 10. Dawn dish soapProcess:The process of casting prototype
assembled instrumented transformer is shown in Figure 1. We selected a case with atransparent cover so that the students could clearly see the transformer and associated circuitrybut be protected from lethal voltages. Figure 1 Instrumented Transformer OverviewThe students can read the transformer part number, and part of an assignment is to look up thespecifications for it and include the relevant parameters in the modeling and simulation of theexperiments.The transformer outputs are shown in Figure 2. The transformer is configured in a center-tappedmode, and each side is brought out as well as the center tap. Additionally, there is a powerindicator. Power IndicatorLow Voltage A.C. Outputs Center Tap
engineering (CHE) course, CHE150, Green Energy.Students noted that other departments, specifically Mechanical and Biomedical engineering, hadfreshman courses incorporating such experiences, as do many other universities.1-5 Their requestreiterated comments heard annually from juniors taking the spring semester CHE246 unitoperations laboratory during which machine shop training is provided in preparation for thesenior laboratory course. The senior lab course is typically popular with students, with extensivepositive end-of-college “Exit Survey” feedback, however, students comment that they wishedthey had had the opportunity to perform hands-on projects earlier, and that they had gotten intothe campus machine shop earlier than second semester of their
restricted to the number of accesses purchased by theinstitution. Once downloaded, students need not be concerned of losing data due to bad/slowinternet connections. For assessment, students are required to complete a short quiz, withquestions similar to those asked in the face-to-face experiment, and a brief lab report.The Development and Operation of the SimulatorThe simulator team chose LabVIEW for the development tool. LabVIEW has a number ofstandard controls and indicators simulating meters and switches. The programs created customcontrols based on these standard devices that more closely resemble those found on the physicallab equipment. The custom controls became the basis for developing simulated machines andinstruments. Figure 1 shows the
the other decided to use MATLAB. Student users of the simulator software were surveyed.In the second year, a third group of students used JavaScript to create their simulator. Theyincorporated the feedbacks and analyses of the prior surveys to guide their development process.Example of an ExperimentThe EET simulator was specifically designed as a teaching and learning tool. Students can use itto visually explore the underlying mathematics and signal processing in analog and digitalmodulation schemes. Instructors can use it as a tool to translate abstract mathematical functionsinto visually represented signal waveform. The following is an example of a short in-classexperiment that can be done.Step 1: Using the viewer control panel insert the
conditions. We defined three distinctperiods that correspond with when the departmental policy changes were implemented. Theseperiods are Traditional Methods (2002-2005), SCALE-UP (2006-2013), and Return toTraditional (2014-2015), which are defined in more detail below.Traditional Methods (2002-2005)Traditional lecture was the pedagogical approach used during this time. Additional componentsof instruction and assessment for this period are described in Table 1 below.Table 1. Overview of Traditional Methods period course policies Textbook Homework Exam Format Grading Policy(2002) Calculus 4thEdition (Stewart Four exams- 60%2001) Variety of
retained in STEM in the academic year immediately subsequent to their enrollment in Calculus I? Q4: What, if any, is the difference in STEM retention rate between students who experience R-Calc versus those who experience N-Calc? Q5: What, if any, effect does R-Calc have on retention rates for URM, Women, Pell- eligible students? Q6: What, if any, effect does R-Calc have on pass rates in post-requisite courses?Questions 1 and 3 are answered with descriptive statistics. The remaining questions ask whethera metric applied to students taking R-Calc differs from the same metric applied to students takingN-Calc. In all cases the metric is a simple proportion (pass rate or retention rate) so all of thesequestions are
now take place outside the classroom and vice versa.” [1] With a flippedclassroom students are required to prepare for class by participating in an assignment or learningactivity (such as information transfer usually reserved for a traditional lecture) before coming toclass. Therefore, when students are in their flipped classroom, the time can be dedicated to amore meaningful exchange with the instructor and higher levels of learning can be achievedthrough individual or group problem based learning activities.Interest in flipped classrooms has been increasing over the last several years. The use of flippedclassrooms has also sparked a significant amount of research. The authors of [2] identifiedtwenty-four different studies related to flipped
and independent study courses wereexcluded. In spring 2016, there was a total of 1111 students in the sampling frame. A sample sizeof 10 % of this population was considered to have sufficient statistical power to derive theresults.The stratified random sampling method was used to select the participants with the strata basedon course level (e.g. 100, 200, 300 & 400-level courses). The sample was randomly selectedacross the four strata so as to be proportional to the number of students enrolled in each stratum(course level). Table 1 shows the percentage of students selected from each course level resultingin the sample size of 111. Table 1. Participant Sampling Plan Course Number of
%, (37 students) 91.9% (57students), and 95% (59 students). Finally, end of year response rates were 62.1% (36 students),71% (44 students), and 76.7% (48 students). Respondents with missing data on survey items ofinterest for this study were excluded from the analytical sample. The final sample for analysisincluded 111 students (55 women and 56 men) from the M-Engin program.MeasuresEngineering Major Confidence The dependent variable of interest for this study is students’ end-of-year engineering majorconfidence. This is a continuous variable ranging from 1-5, with 5 being the highest rating astudent could self-report (Strongly Disagree = 1, Strongly Agree = 5). Prior to this study, anexploratory factor analysis was performed on the
ASEE paper (Chenetteand Ribera, 2016)1.MethodologyThis study expands upon a preliminary study that aimed to uncover the extent to whichstructured written reflection activities play a role in facilitating conceptual change for students ina fundamental heat transfer course. Established instructional methods based on inductive-learning guided the prediction activities used in this study5,9.This experimental design is an extension of the preliminary work, and is considered quasi-experimental (students were not randomly assigned to different sections). It includes traditionalinstruction (X1), in-class prediction activities (X2), and written reflection activities (X3), acrossvarious cohorts, as shown in Table 1. A pre- and post-test HECI (O1) and an
and indicate support for, and appreciation of, candy use in engineering courses.Chewing on the Idea: MethodsThe survey was designed to quantify the effect of candy use on student attitude and engagementduring class and to elicit student perspectives regarding the appropriateness of using candy in thecollege classroom. Students were asked to respond to four statements using a Likert scale rangingfrom “Strongly Agree”, to “Agree”, “Neutral”, “Disagree”, and “Strongly Disagree”. Thestatements assessed student views from both a positive perspective and a negative perspective tovalidate responses. The four statements were: 1. Candy is distracting. 2. Candy helps motivate students to pay attention and participate 3. Candy is appropriate
guide students towards adaptive expertise, the combination of factual and conceptualknowledge and ability to transfer that knowledge to new and novel situations (Bransford et al.2000). Here we provide details of the implementation of the project including tools forassessment of student learning and also present student outcomes.MethodsThe project was assigned at Worcester Polytechnic Institute in the Fall 2016 offering of asophomore-level biomechanics course (BME2511). To reduce the burden on the students, theproject took the place of the first two homework assignments from the previous offering of thecourse. The objectives of the assignment were to assess the students’ ability to 1) set up a staticbiomechanics problem effectively, 2) apply
momentumconservation and ideal gas thermodynamics theory. Among other metrics, the performance ofeach student team was assessed based on (1) the ability of the custom trigger mechanism to firethe cannon over a range of initial reservoir pressures, (2) a thoughtful comparison amongexperimentally-measured and model-predicted muzzle velocities, and (3) documentation of theresults of cannon design, realization, and operation.This paper discusses the implementation and relevant outcomes of the project. Based on studentfeedback, the project was well-received and anchored the often abstract thermal-fluid sciencesconcepts taught. The project also highlighted the challenges of applying theoretical equations toreal-world problems and the vital need for experiments to
“agreeableness” trait [1] [2] [3]. For the professor, very often thereis little control over the team composition and no guarantee that the team will be able to sustaingood work habits and healthy team dynamics for the entirety of the experience. At ourinstitution, the projects culminate in a Capstone Expo that is attended by an audience ranging inskill sets and interests from Middle and High School students to industry partners, industryexperts, engineering students and faculty and students from around the university. This paperwill cover all the above aspects of the Capstone experience up to and including preparing theteam for the Expo.KeywordsCapstone, teamwork, 21st century skills, design, interdisciplinaryBackgroundCapstone at our institution is
problems, understand relationships,and interpret material. The tests contain questions that require critical thinking and interpretation ofgraphs, diagrams, and charts based on material related to the field.The capstone examination is compulsory; not taking the exam will result in an incomplete or failinggrade. Additional points awarded to the student’s course grade are shown in Table 1 below: Table 1 – Additional points from Capstone Exam Examination Score % Awarded Points* Above 90 15 80-89 12 70-79 9 65-69
is part of an NSF-funded project (Hynes et al. 2016). One aspect of this project looksat K-2 students’ computational thinking competencies in integrated STEM informal experiences.In earlier phases of the project, we conducted research to develop a set of definitions of CTcompetencies that can be observed when enacted by children (Dasgupta, Rynearson, Purzer,Ehsan, & Cardella, 2017; INSPIRE Definitions, 2017). For this study, we are focusing on sevenof these competencies: Abstraction, Algorithms and Procedures, Debugging, ProblemDecomposition, Parallelization, Pattern Recognition and Simulation. These competencies werethen synthesized into three phases of an iterative computational thinking process consisting of(1) Problem Scoping, (2
, compared toboth national demographics and the pool of engineers with PhDs.1 Additionally, this model of afaculty career has not kept pace with changing labor force realities, even though career pathsacross the nation and in many domains see multiple transitions and have very low expectationsof retiring from a single company after 30 years. This faculty career model contradicts careerhappiness based on reasonable life choices, particularly those described by the Life CareerRainbow2,3 which defines an arc of life as moving through growth, exploration, establishment,maintenance and disengagement phases of life (see Figure 1). This mismatch means thatacademia is not able to adapt to shifting demographics, expectations of Millennials, and desiresfor
Associate Vice Provost for Graduate Education.Dr. Helen L. Chen, Stanford University Helen L. Chen is a research scientist in the Designing Education Lab in the Department of Mechanical Engineering and the Director of ePortfolio Initiatives in the Office of the Registrar at Stanford Univer- sity. Chen earned her undergraduate degree from UCLA and her Ph.D. in Communication with a minor in Psychology from Stanford University. Her current research interests include: 1) engineering and en- trepreneurship education; 2) the pedagogy of ePortfolios and reflective practice in higher education; and 3) redesigning the traditional academic transcript. c American Society for Engineering Education, 2017
review, andbenchmarking led to the identification of barriers in the areas of career navigation, climate, andflexibility in work/life management balance which have been previously reported. 1-4Opportunities for reducing barriers and launching new interventions were assembled into acomprehensive institutional transformation strategy funded in 2012 by NSF ADVANCE(1209115). The goal of this funded project, referred to as AdvanceRIT, increases therepresentation and advancement of women STEM faculty by creating new interventions,structures, and resources to support faculty career navigation while promoting supportive andaligned cultural change. An additional emphasis adapts interventions to address the needs of keysub-populations including women of
assumptions about these aspects that match “how we dothings around here.”For example, a traditional lecture-style mechanics course might be typified by what Kingdescribes as the "Sage on the Stage" dynamic [1]. This may also include an expectation ofweekly tightly-defined problem sets with black-and-white answers, teaching assistant officehours which students are expected to attend only when they have concrete questions, limitedlecture attendance, and a strict curve grading system that implies a limited number of top marks.Another lecture class might involve clickers, expectations of both attendance and participation,teaching assistant support for collaborative work on open-ended problems, etc. Although boththe classes described above are lecture
design occurs. Creativity is defined asdeparting from norms through divergence, making unusual associations, and seeing unexpectedsolutions.1 However, engineering education often focuses on solving convergent and well-defined analytical problems; even when divergent thinking is considered, there is limitedattention to exploration of the problem space2. We define problem exploration as the generationof alternative views or perspectives on a problem in order to discover alternative solutions.Knowledge about how to explore problems is important for improving engineers’ understandingof perceived problems, and turning them into successful design solutions.3,4 Since problemexploration should occur in the early stages of design, it has the potential to