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
manners”. ASEE Prism. American Society for Engineering Education. 2005. vol. 15. no. 4. pp. 45.[10] B. Horn. “A reflection on leadership: A comparative analysis of military and civilian approaches,” 2014, Journal of Military and Strategic Studies, vol 15. No. 3.[11] Y. Xue, R. Larson. “STEM crisis or STEM surplus? Yes and yes”. 2015. Website. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5800410/ (Accessed November 7, 2019)[12] A. Barr, A. “From the battlefield to the schoolyard: The short-term impact of the Post-9/11 G.I. Bill”. The Journal of Human Resources, 2015. vol. 50. no. 3. pp. 580-613.[13] A. W. Radford, A. Bentz, R. Dekker, J. Paslov, J. “After the Post-9/11 G.I. Bill: A profile of military service
subgroups.AcknowledgementsThis material is based upon work supported by the National Science Foundation under grantnumbers DUE #1834425 and DUE #1834417. Any opinions, findings, and conclusions orrecommendations expressed are those of the authors and do not necessarily reflect the views ofthe NSF.References[1] O. Ha and N. Fang, "Spatial Ability in Learning Engineering Mechanics: Critical Review," Journal of Professional Issues in Engineering Education and Practice, vol. 142, no. 2, p. 04015014, 2015.[2] J. G. Cromley, J. L. Booth, T. W. Wills, B. L. Chang, N. Tran, M. Madeja, T. F. Shipley and W. Zahner, "Relation of Spatial Skills to Calculus Proficiency: A Brief Report," Mathematical Thinking and Learning, vol. 19, no. 1, pp. 55-68, 2017.[3] S. A. Sorby
January 6, 2020.[13] S. M. Lord, “Retention and Persistence in Engineering: Data, Issues, and Ideas,” Benton Lecture for Herbert Wertheim College of Engineering, University of Florida, Gainesville, FL, April 18, 2019.[14] S. M. Lord, “Persistence in Engineering: Research and Reflections,” UCI Education Research Initiative Invited Seminar, University of California-Irvine, Irvine, CA, May 23, 2019.[15] M. W. Ohland, “We value what we measure: Exploring data quality and the challenges of working with pre-existing data structures,” Florida International University, School of Universal Computing, Construction, and Engineering Education, Miami, FL, November 13, 2019.[16] M. W. Ohland, “Lessons
resistance. The study also hopes to provide answers of if students are actuallyresisting active learning, as well as the instructors’ perception of this resistance.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant NoDUE-1821488. 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.References[1] Dancy, M., Henderson, C., &; Turpen, C. (2016). How faculty learn about and implementresearch-based instructional strategies: The case of Peer Instruction. Physical Review PhysicsEducation Research, 12(1), 010110.[2] Gradinscak, M. (2011). Redesigning engineering
, while I had not made up my mind on going to graduate school before,I now am certain that I want to get a masters.” Increased interest in Graduate schools is also seenin Figure 6, which shows the participant responses to survey questionnaire before and afterparticipation. Figure 6. Student responses to pre- and post-participation survey questions (average of 2017, 2018, and 2019 ratings).3. Lifelong Learning Skills and Acquisition of Interdisciplinary KnowledgeFigures 5 and 6 also show that the program has been able to instill lifelong learning skills in theparticipants and increase their knowledge of other disciplines. Mentor and participant qualitativefeedback reflected the value of participant exposure to the
.[9] R.M. Felder and R. Brent, Teaching and Learning STEM: A Practical Guide. San Francisco,CA: Jossey-Bass, 2016.[10] S.B. Merriam, Qualitative Research and Case Study Applications in Education. Jossey-Bass, 2001.[11] J. Saldana, The Coding Manual for Qualitative Researchers (2nd Edition). Thousand Oaks,CA: Sage Publications, Inc., 2013.AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.1347675 (DUE). Any opinions, findings, conclusions, or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation.
. Theirimpact on student learning was also partially reflected in student responses to other open-endedquestions. For instance, students were able to provide important justifications when prompted todiscuss energy sources with an advocate of a particular approach, such as “You have to factor inthe cost, the power it supplies, and the effectiveness over X amount of years.” “The best way toselect an energy source is to focus on being environmentally friendly first. Then find the mostcost effective that will produce enough energy for your needs.” Students also commented on themost important things they learned through the game such as “The most important thing that Ilearned was to be environmentally friendly rather than being the most cost and energy
Page 23.842.2issues. The experimental skills in circuits and electronics of many graduate students are stilldeveloping and not all of the graduate students in the GTA pool are interested in the subjectmatter. This lack of experience and interest is much more difficult to overcome, yet is quicklysensed by the undergraduates taking the course who will reflect this in their comments on thequality of instruction at the end of the semester. Thus, the selection of the instructor for thelectures has been a critical factor to the successful introduction of guided self-learning inexperimental techniques using LiaB.Development of online circuits laboratory course for on-campus studentsMotivation: While a physical lecture was also incorporated in the
. National ScienceFoundation (Award DUE-1042030). Any opinions, findings, conclusions, and/orrecommendations are those of the investigators and do not necessarily reflect the views of theNational Science Foundation.References [1] Kilgore, D., Atman, C. J., Yasuhara, K., Barker, T. J., & Morozov, A. (2007). “Considering Context: A Study of First‐Year Engineering Students,” Journal of Engineering Education, 96(4), 321-334. [2] Olds, B. M., & Miller, R. L. (2004). “The Effect of a First‐Year Integrated Engineering Curriculum on Graduation Rates and Student Satisfaction: A Longitudinal Study,” Journal of Engineering Education, 93(1), 23-35. [3] Pendergrass, N. A., Kowalczyk, R. E., Dowd, J. P., Laoulache, R. N., Nelles, W., Golen, J
processing, biometrics, pattern recognition and filter design.Dr. Kevin D. Dahm, Rowan University Kevin Dahm is a Professor of Chemical Engineering at Rowan University. He received his B.S. from WPI in 1992 and his Ph.D. from MIT in 1998. He co-authored the book ”Interpreting Diffuse Reflectance and Transmittance,” published in 2007, with his father Donald Dahm. His second book, ”Fundamentals of Chemical Engineering Thermodynamics,” a collaboration with Donald Visco of the University of Akron, is expected to be released by January 10, 2014. Kevin has received the 2002 PIC-III Award, the 2003 Joseph J. Martin Award, the 2004 Raymond W. Fahien Award and the 2005 Corcoran Award from ASEE.Dr. Richard J. Kozick, Bucknell
of the e-book and the proposed learning environment.The J-DSP Simulation EnvironmentJ-DSP, a web-based DSP education software, is a block-based environment where simulationsare established by choosing blocks through a drag-n-drop process and connecting them toestablish signal flow. Any change in the simulation parameters are automatically reflected in thefollowing blocks. An example simulation established in the J-DSP interface along withvisualization of the output is shown in Figure 1. A set of DSP laboratories have been developedin J-DSP that cover several DSP concepts including the z-transform, digital filter design, spectralanalysis, multirate signal processing, and statistical signal processing along with a rich set ofvisualization