“outsideuse” it was typically reported as used with a partner and independently to reinforcelearning by experimenting with different variables.80% of the students found the personal instrumentation to be a valuable tool for thecourse, indicating that it was effective both as a learning tool and in developing theirconfidence within the content area. Students’ positive perceptions related to itsusefulness in promoting experiential learning to practice course concepts (72%),increasing knowledge (71%), reflecting real practice (57%), and in improving confidencelevels (57%). 72% of the students reported that it facilitated a collaborative workingenvironment with their fellow students. Approximately half the students wanted moreuse and more time for that
any othercomments on the unit of instruction. In courses where the 3D modules was implemented,students were asked to complete a questionnaire containing 40 objective items and 1 open-endeditem. All items included on the questionnaire used prior to 3D implementation are included onthis survey, with minor modifications made to reflect the inclusion of the 3D modules. 21additional items specific to the 3D modules were also added. The construction of thequestionnaire was influenced by the work of Lee (2011) [1] who also examined the use of virtualreality to aid learning.ParticipantsA total of 128 students participated in the study. Forty-five students were in a control group thatdid not use the 3D modules, while 83 students were in the treatment
learn how to use the oscilloscope, they were able to see the signals, frequencies, and other parameters that are discussed in the classroom, but are best demonstrated with hands-on activities. Students were able to see how changing input parameters from the signal generator included in the software reflected different responses at the circuit output. The best thing about this experience is for students to perform the different labs in the comfort of their homes with only the Analog Discovery Board which has a very low cost. Students can have a virtual laboratory anywhere, once they have access to a PC or laptop. The ease of using the board, the FFT, the potential to develop a number of experiments
nonparametric data. Additionally, there is no estimation of population parametersin OOM; the statistics in OOM reflect solely the data collected. In an OOM analysis, theresearcher provides a hypothesized pattern for the data, and the analysis checks the obtained dataagainst that pattern. The resulting statistic, called a Percent Correctly Classified (PCC) index, isthe percentage of the data which fits the hypothesized pattern. For this paper, the hypothesizedpattern was an increase in students’ scores on the Awareness, Motivation or Exposure subscalesafter the lecture as compared to their scores before the lecture.Table 2 shows the results for this model. The column labeled “Percent Correctly Classified(PCC)” gives the percent of students whose score
. Meeting as a group to discuss specific action items based on the survey results, such as curriculum changes and development of instructional materials and technologies.AcknowledgementsThis material is based upon work supported by the National Science Foundation’s AdvancedTechnology Education Program under Grant No. 1304843. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation.References1. Bureau of the Census, Statistical Brief: Advanced Manufacturing Technology SB-13-90, U.S. Department of Commerce, Washington, D.C., 1990.2. Online resource available at: http://www.census.gov/foreign- trade
5) Orthographic Projection with feedback. Inclined and Curved Surfaces• Video mini-lectures. The team has professionally 6) Pattern Folding developed 2-5 minute video introductions to 7) Rotation of Objects about One Axis module topics, which are available in common 8) Rotation of Objects about Two or formats for use with a variety of computer More Axes platforms. 9) Reflection and Symmetry• Video how-to instructions. Additional videos 10) Cross-Sections of Solids
. After analysis of these interviews isunderway, interviews with members of “mobilized publics” will be conducted to examine thisrelationship from both sides.AcknowledgementsThis material is based on work supported by the National Science Foundation under Grant#1551152. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References1 Riley, D. 2008. Engineering and Social Justice. San Rafael, CA: Morgan and Claypool.2 National Academy of Engineering (NAE). 2005. Educating the Engineer of 2020: Adapting EngineeringEducation to the New Century. Washington, DC: The National Academies Press, 47.3 National Academy of
. The planetary gearset is the centerpiece of thebench-scale hybrid powertrain, which our students are completing over the course of fivesemesters. With the successful completion of the planetary gearset, our students are now readyto begin tackling the challenge of developing an overall control strategy for the hybrid system.AcknowledgementsThe authors wish to acknowledge the support of the NSF-TUES program in the Division ofUndergraduate Education, DUE-1044532, which made this research possible. Any opinions,findings, and conclusions or recommendations expressed in this material are those of the authorsand do not necessarily reflect the views of the National Science Foundation.Bibliography[1] Toyota Motor Corporation, "Toyota Hybrid
and reflecting student feedback. New Generation Rapid Prototyping Final Version of Rapid Prototyping Simulator developed based on Simulator Software uPrint® SE Plus 3D Printer Rapid Prototyping Simulator integration in: Additive Manufacturing, Rapid
circumstances, writing is used not so much to demonstrate knowledge as toachieve an understanding of the students’ own learning process. Writing-to-learn assignments inthese contexts usually attempt to make the student aware of his or her learning issues, asking thestudent to reflect on what he or she may not understand. The modalities for doing so are various:students have been required to write step-by-step explanations of their problem-solving; 5, 6, 7they have been asked to explain how to do a problem to a relative neophyte in the class; 8 andthey have been encouraged to embed literary modes in their problem-solving narratives (e.g.explaining how to solve stoichiometric equations through baking analogies).9 While theseapproaches have resulted in
content assessment was revised to 13items to better reflect the refined course content. Some of the questions asked in Spring 2013were removed in second year assessment. Sample items from this assessment are shown below.2) The correct nanometer size scale in increasing order (smallest to largest) in terms of wellknown species is:3) Which nanomanufacturing category to pulsed laser deposition (PLD) and mechanical attrition Page 26.673.11(MA) fall under? 10The results from these assessments for Spring 2014 are shown below. NUE Content Assessment Pre & Post-Test Scores by Question
an estimated $2.7 billionin damages as a direct result of the storm.[4] Storm water sewer lines were blocked contributingto flooding, almost 100 wastewater treatment systems either failed or had significantinterruptions in service, and the loss of electrical power caused many others to go offline.[4]Over 70% of New Jersey’s water supply systems were impacted by the storm, mostly due to lossof power, and approximately 360,000 residents were under a boil water advisory, of whicharound 10,000 homes in Ocean County were still under a boil water advisory after one month.[4]New Jersey’s coastal counties are home to approximately 60% of the state’s total population[5],and this is reflected in the student population at Rowan University. Many of our
student motivation tended to have students that earned higher grades. Data collection is ongoing to fully investigate the relationship among Faculty Knowledge of SDT, the classroom learning environment, and students’ objective and subjective learning outcomes.AcknowledgementsThis material is based upon work supported by the National Science Foundation (ResearchInitiation Grant in Engineering Education) under Grant No. 1340304. Any opinions, findings,and conclusions or recommendations expressed in this material are those of the authors and donot necessarily reflect the views of the National Science Foundation. Page 26.1041.9
State model (including all course materials for EGR 101) can befound at www.cecs.wright.edu/engmath/. Textbook information is available atwww.wiley.com/college/rattan.AcknowledgmentThis work has been supported by the NSF Division of Engineering Education and Centers undergrant number EEC-0343214 (Department-Level Reform Program), by the NSF Division ofUndergraduate Education under grant numbers DUE-0618571 (CCLI Phase 2), DUE-0622466(STEP Type 1) and DUE-0817332 (CCLI Phase 3), and by a Teaching Enhancement Fund grantat Wright State University. Any opinions, findings, conclusions or recommendations expressedin this material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation or Wright State
presentation in more formal webinars.AcknowledgementsThe authors gratefully acknowledge that the support for this work was provided by the NationalScience Foundation Award No. DUE-1432107/1431923/1431721. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the National Science Foundation.Reference1. National Academy of Engineering. The Engineer of 2020: Visions of Engineering in the New Century. 2002.2. Torrance, E.P. "Can we teach children to think creatively?" Journal of Creative Behavior 6 114-143 1972.3. Mansfield, R.S. "The effectiveness of creativity training." Review of Educational Research 48(4): 517-536 1978.4. Ma
-faculty and student-student engagement. Every effort was made to ensure thatthe speaker diversity reflected that of the REU students, so that students could envisionthemselves taking the speakers’ paths. Further student-faculty interaction was provided throughweekly faculty research seminars. Each week, one faculty member presented brief vignettes oftheir research interests to the group, enabling students to learn of other imaging related researchbeyond their own projects.In addition to the program-related activities, students participated in several University-wideenrichment events. These activities included a weekly brown-bag seminar series on topics suchas Ethics, GRE preparation, Getting into Graduate School, and Abstract Writing
Page 26.352.8groups of students who receive multiple years of exposure to sustainability grow and deepen intheir understanding of sustainability and how to improve BIM skills. The challenge in evaluatingan intervention using a quasi-experimental design is in managing a non-random sample andanalyzing the data to allow for causal inference to be made from the findings.AcknowledgmentThis material is based upon work supported by the National Science Foundation under Grant No.DUE-1140941. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author and do not necessarily reflect the views of the National ScienceFoundation.References1. Davis, K. A., and Casey Cline, R. (2009). “Improving course
plastics production line with prototyping,extrusion, and injection molding machines. Thus, the low-division students were able toexperiment with green materials for the lab activities, and the upper division students couldconduct applied research projects in green plastics manufacturing through co-op.17-20Assessment, Evaluation, and System ApproachThe traditional-transmission learning format, in which the degree of a student’s success dependsonly on the performance of quizzes, tests and projects in class, does not truly reflect theeffectiveness on learning and skills application.1-5, 11-15 We proposed a system approach to drawon the analysis and evaluation of student’s learning outcomes and thus, were able to design acurriculum model to improve an
these categories is far above the university averages reflecting the factthat minorities and first-generation students are more prevalent among those from economicallyand educationally disadvantaged backgrounds.Table 1: 2013-2016 STARS student demographics Cohort I (2013-2014) Cohort II (2014-2015) Cohort III (2015-2016) UW WSU UW WSU UW WSUFirst Generation 80% 58% 80% 79% 45% 70%Underrepresented 47% 45% 44% 48% 31% 48%MinorityFemale 40% 18% 40% 14% 41% 19%Program DescriptionsThe STARS
Veterans in Assistive Technology andEngineering) team who conducted 102 interviews. Their development is reflected in the changes to theirBusiness Model Canvas – Initial (Fig. 2) and Final (Fig. 3). See FIE 2014 paper for further details (32).Fig. 2 ELeVATE’s Initial Business Model Canvas (focus on value propositions and customer segments)Fig. 3 ELeVATE’s Final Business Model Canvas (focus on value propositions and customer segments)Assessing and Changing the I-Corps™ L ProgramQuality Evaluation Designs (QED) conducted a comprehensive evaluation focused on three facets of theI-Corps™ L program: 1. Program delivery, including the 3-day initial workshop, 5 webinars, and 2-day final workshop 2. Impact of I-Corps™ L program delivery on I-Corps
model development requires students tocommunicate their ideas and continue to evolve their solutions to reflect their evolving ideasconcerning the mathematical situation. The model refinement process involves moving from aninitially chaotic model to a more developed model through an iterative process. Importantly,while these activities are to an extent open-ended, they are not the type of open-ended problemwhere any solution is acceptable; there are criteria built into the problem that make somesolutions better than others, aligning with the self-assessment principle (see below).12 In thiscourse, the iterative process involves three major submissions with feedback from both peers andinstructors.16
Making activities and maker spaces in childrens’ museums.There is a trend for museums and science/technology centers to establish Maker spaces. ThePittsburgh Children's Museum has created Makeshop, a maker space reflecting 7 specificlearning practices, for example. Research has shown Maker spaces as sources ofmultidisciplinary learning, a blending of communities of practice with formal learning, andfinally that the depth of learning is in the making. While the research points to the values ofMaking in general, and specifically making in museum maker spaces, there seems to be littleresearch on family making, and how museums can encourage family making. This researchhopes to bridge both these gaps by studying the importance of family making and
Development Continuous Refinement and Development Application Confirmation and DisconfirmationFigure 1. The general method of theory-building research in applied disciplines (Adapted fromLynham, 2002).We must clarify at this point that theory-building is related to Strauss and Corbin (1998)’sgrounded theory, but not entirely similar. Grounded theory, for our purposes, constitutes onemethod-research approach of theory building (meaning that reflects elements and phases of theprocess) that is mainly qualitative in nature. The
work.Stakeholders include users as well as others that have influence or will be influenced by theproblem and solution developed. These aspects all exist within a larger sociocultural andenvironmental context as well as within a timeline of what has been done before and theexpected future.Study DesignOur study is comprised of three phases. The first two phases include semi-structured interviewswith engineering students and professionals about their experiences solving a problem requiringsystems thinking and a think-aloud interview in which participants are asked to talk through howthey would approach a given engineering scenario and later reflect on the experiences thatinform their thinking. Data from these two phases will be used to develop a written
, and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. The authors wish to thank the STRIDE team, survey and interviewparticipants for their participation in the study.References[1] L. L. Bucciarelli and S. Kuhn, “Engineering Education and Engineering Practice: Improving the Fit,” in Between craft and science: Technical work in US settings, S. R. Barley and J. E. Orr, Eds. Cornell University Press, 1997, p. 210.[2] P. M. Leonardi, M. H. Jackson, and A. Diwan, “The Enactment-Externalization Dialectic: Rationalization and the Persistence of Counterproductive Technology Design Practices in Student Engineering
political identity, social welfare, and perspectives ofdiversity. In reflecting on the personal impact of recent national events and how politicaldiscussions have or have not been integrated into their STEM courses, two themes emerged: 1)political awareness and 2) future-self impact. Findings revealed that first year engineeringstudents recognized the personal and social impacts current national events imposed on theirfriends, family, and society. However, students did not sense the significance of politicaldiscourse concerning the social impact and ethical practice of engineering. Our research showsthat limiting political discourse in the classroom and depoliticizing engineering spacescontributed to students dissociating the relevance of political
]. The thematic synthesis will consist of three phases: 1) coding each line of text, 2)development of descriptive themes associated with the studies, and 3) generation of analyticthemes that interpret the findings [7].AcknowledgementsThis work is supported by the U.S. National Science Foundation award #1828659. Any opinions,findings, and conclusions or recommendations expressed in this material are those of the authorsand do not necessarily reflect the views of the National Science Foundation.References[1] Annual Estimates of the Resident Population by Sex, Race, and Hispanic Origin for theUnited States, States, and Counties: April 1, 2010 to July 1, 2016. Source: U.S. Census Bureau,Population Division. Release Date: June 2017[2] B. L. Yoder
, SocialStudies) an opportunity to learn more about how language is embedded in STEAM learning.Moreover, the project also provided an opportunity for all teachers to explore how engineeringcan be used as the integrator in STEAM. The project also introduced teachers to a more holisticview of engineering as a sociotechnical endeavor and how different disciplines can worktogether to create transformative learning experiences for minoritized students.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1826354. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundationReferences
, and, although in initial stages, interclass interactions.AcknowledgementsWe wish to recognize Mengyuan (Alice) Zhao as coordinator of our efforts on the CN, andhelping researchers access student activity on the CN. This paper directly reflects the work of allPIs on the Urban STEM Collaboratory, from University of Memphis: Stephanie Ivey, James T.Campbell, John Haddock, Aaron Robinson, and Craig Stewart; from University of ColoradoDenver: Maryam Darbeheshti, Michael Jacobson, Martin Dunn, and Tom Altman; from IndianaUniversity Purdue University Indianapolis: David Russomanno, Jeffrey Watt, Karen Alfrey,Clayton Nicholas, Danny King, Terri Talbert-Hatch. This work is supported by NSF S-STEMGrants: #1833987 (UofM), #1833983 (CU Denver), #1833817
Special Problems.FTIR Spectroscopic Imaging System ComponentsFigure 1 shows the FTIR spectroscopic imaging system. An FTIR spectrometer, an FTIRmicroscope, Data Acquisition system, an optical table and a liquid nitrogen generator werepurchased through this grant. Liquid nitrogen is used to cool the microscope detector. Figure 1. The FTIR Spectroscopic Imaging SystemThe Research and Development Bruker Invenio-R FTIR Spectrometer shown in Figure 2aenables us to collect an average IR spectrum of a sample and characterize it accordingly.Additionally, an Attenuated Total Reflection (ATR) unit was purchased to eliminate samplepreparation steps when using the spectrometer. ATR is a sampling technique used in IRspectroscopy