. Page 1.161.1 {hxii~ 1996 ASEE Annual Conference Proceedings ‘..plly’..’ One reason that I chose to begin my pedagogical career with NIU was that the College of Engineeringhad no materials engineering facilities at the time that I was hired. One of my personal career goals thereforebecame to establish a well-equipped laboratory where students could learn about engineering materials. I feltconfident in my ability to achieve this goal due to my previous work experience in private industry, federalresearch laboratories, and academia. As a research engineer with ARMCO, Inc.’s Research and TechnologyCenter, I was able to obtain a first-hand look at how an industrial research
: . IFigure 1. Survey, Spring 1995Questionnaire: Comparing Core Classes and Design Classes in the Engineering Curriculum (Spring 1995)Age Sex Year in College Citizen ofEthnicity: A f r i c a n - A m e r i c a n H i s p a n i c A s i a n W h i t e OtherSAT or ACT Scores and GPA’s (Please estimate these and write NA if you cannot recall.): Math Verbal GPA - High School GPA - CollegeCore ClassesConsider your experiences in the vast majority of your classes - “core classes” such as required Physics, Chemistrym Mathematics classes, as well as Statics, Thermodynamics, or Fluids - where the bulk of the course involve!listening to professors
TEACHING THE THEORY AND OPTIONS FOR IMPROVING THE EFFICIENCY OF PISTON CYLINDER 1~ COMBUSTION ENGINES Frank Wioka Union College S c h e n e c t a d y , New York ABSTRACT the theory and suggesting options for extending automotive type engines to combmed cycles. It is now common practice to use a heat recoverybottoming cycle on internal combustion gas turbines We start by def~ the availabfity or exergywith a resulting 5(Mo increase in power and fuel that exists in the exhaust of a
Expansion Coefficient 1 ÷τ(η, T) -1 δ =- in K τ(η, T) ÷T P Page 14.838.4 Table 1 Transport Properties for Blood at 310 K and 101 kPa η∀ µ π k χ∀ Pr ∀ (Nt s/m2) (m2/s) (W/m K) (m2/s) 0.00 8.3040E-04 8.3603E-07 0.2907 7.2500E-08 11.53 0.06 9.7694E-04 9.8180E-07 0.3420 8.5568E-08 11.47 0.12 1.0742E-03 1.0776E-06 0.3760 9.4391E-08 11.42
and lean enterprise, more specifically Mahalanobis-Taguchi System, Robust Design, Lean Enterprise and Six Sigma.Suzanna Long, Missouri University of Science and Technology Suzanna Long is an Assistant Professor with the Department of Engineering Management and Systems Engineering, Missouri University of Science and Technology. Prior to joining Missouri S&T she was an Assistant Professor in the Departments of Management and Marketing, Missouri Southern State University and Coordinator of the transportation-logistics program. She holds a PhD and an M.S. in engineering management, B.S. in physics and a B.A. in history from the University of Missouri-Rolla (UMR) and an M.A. in history from the
Thinking Teacher Resources (Second ed.).Couse, L. J., & Chen, D. W. (2010). A tablet computer for young children? Exploring its viability for early childhood education. Journal of Research on Technology in Education,43(1), 75–98.Dasgupta, A., & Purzer, S. (2016, October). No patterns in pattern recognition: A systematic literature review. In Frontiers in Education Conference (FIE), 2016 IEEE (pp. 1-3). IEEE.Hynes, M. M., & Moore, T. J., & Cardella, M. E., & Tank, K. M., & Purzer, S., & Menekse, M., & Brophy, S. P. (2016, June), Inspiring Computational Thinking in Young Children's Engineering Design Activities (Fundamental). In the Proceedings of the 2016 ASEE Annual
fostering supportive communities in undergraduate physics departments.Dr. Chandra Anne Turpen, University of Maryland, College Park Chandra Turpen is a Research Assistant Professor in the Physics Education Research Group at the Uni- versity of Maryland, College Park”s Department of Physics. She completed her PhD in Physics at the University of Colorado at Boulder specializing in Physics Education Research. Chandra’s work involves designing and researching contexts for learning within higher education. In her research, Chandra draws from the perspectives of anthropology, cultural psychology, and the learning sciences. Through in-situ studies of classroom and institutional practice, Chandra focuses on the role of culture
: Student feedback rubric for laboratory notebooks PointsSection Requirements PossibleTitle & Objective Clearly captures the daily goal(s) of the lab 3Materials & Methods Descriptions of experiments & materials clearly provided 4Results & Discussion All data, graphs, & relevant discussion is documented 4Observations, Notes Observations, errors, & future improvements are detailed 3Presentation Notebook is neat, organized, & has labeled tables/figures
. (2007, March). Alice, middle schoolers & the imaginary worlds camps.In ACM SIGCSE Bulletin (Vol. 39, No. 1, pp. 307-311). ACM.Ali, A., & Shubra, C. (2010). Efforts to reverse the trend of enrollment decline incomputer science programs. The Journal of Issues in Informing Science and InformationTechnology, 7, 209-225.Atiq, S. M., Ingle, D., & Meshram, B. B. (2012). Web Mining and Security in E-commerce. In Advances in Computing and Information Technology (pp. 477-487).Springer Berlin Heidelberg.Atkins, P. (2015). Chemistry - A Very Short Introduction. New York, NY: OxfordUniversity Press.Berland, M., Baker, R. S., & Blikstein, P. (2014). Educational data mining and learninganalytics: Applications to constructionist research
% 20% 10% 0% S T E M ET Overall Percentage 26% 10% 56% 2% 6% Figure 4. Engineering Technology Majors vs. STEM MajorsFigure 5 shows the ethnic diversity within STEM majors, noting overall percentages within eachSTEM category. Relative to one another, white students are most prevalent in STEM with aslightly higher percentage of black students in Technology as compared to the other STEMmajors. 80.00% 70.00% 60.00% 50.00% 40.00% 30.00% 20.00% 10.00
economic analysis after it has been implemented. As many of ourpartners implement and utilize the capstone projects, it is important for our students tounderstand how the projects are evaluated so that they can conduct a better analysis of theprojects in the beginning. As we continue to look at our courses and implement projects, we willcontinue to bring more examples into the course.References1. Anwar, S., & Ford, P. (2001). Use of a case study approach to teach engineering technology students. International journal of electrical engineering education, 38(1), 1-10.2. Dixon, G., & Wilck, J. (2014). Integrating Economic Analysis into Capstone Course. 121st ASEE Annual Conference and Exposition. Indianapolis: American Society
, midterm examinations, and the final examination. Final grades are thencomputed as a weighted average of the objective assessment scores.Before the introduction of SBG, the course was taught using a traditional “chalk-and-talk”lecture style. Homework discussion sessions were offered on a weekly basis. Interactivemodules for convolution and Fourier series signal and system analysis were developed [17] asadditional homework assignments. The course was graded based on homework scores, midtermexam scores, and the final exam score. Students would have only been aware of theirperformance on a course concept by identifying the concept(s) involved with a homework orexam problem and comparing their score to the standard institutional grading scale.After
collect data fordetermining the effectiveness of the approach. This paper provides an updated analysis (N = 50)combining the previously reported data from the 2017 camp and the implementation results of thesummer 2018 camp. Results indicated statistically significant gains in students’ content knowledgeand positive changes in attitudes of mainly female students towards science, technology,engineering and math.KeywordsSTEM, K-12, flight simulation, mathematics, scienceIntroductionThe U. S. K-12 education system is facing several challenges which are of grave concern especiallyin context of the U.S. technological leadership of the world. These challenges include thecontinued global non-competitive performance of U.S. middle school students in
actual input data; it onlyrelies on n. Therefore, a lookup table can be pre-computed and loaded at runtime. We first definean algorithm in Python-based pseudocode that determines where samples should reside at eachstage of the algorithm, as in Figure 2. Figure. 2 Algorithm for computing table A of sample indices at each stage From this table, we can compute another table that explicitly states the destination indexthat a sample needs to be sent to. That is, using the new table B, calculated using the algorithm inFigure 3, during stage s, sample i in the current buffer should be sent to position B[s][i]. Figure. 3 Algorithm for determining table B, which contains the destination of the current stage's samples
IPv6, the Internet’s migration to the new protocol has beenanything but smooth. Many have expressed doubts, and some still do, that IPv6 will reach fulladoption and replace IPv4 as the Internet’s dominant protocol. However, empirical data suggeststhat Internet IPv6 adoption has entered a phase of rapid acceleration [3]. A recent study by [4]found that the number of IPv6 users on the Internet has reached the early majority level ofadoption and full adoption could occur as early as December 2024. Figure 1 shows the numberof users accessing Google over IPv6 reached 26.31% in January of 2019 [5].Figure 1. The adopter distribution normal curve partitioned into adopter categories overlaid withthe S-shaped diffusion curve [6]. The number of IPv6
contained a single Attack VMand Multiple Defense VMs (Defenders 1-9). The Attack VM was the Kali Linux that preparedstudents with a variety of penetration testing tools to initiate attacks and exploit systemvulnerabilities on other students’ defense VMs. Each defender was either a Windows Server orLinux machine that was configured specifically for its corresponding attack or defense sub-lab.A Score and Message Board was designed to display the points students achieved. The studentgained positive points when s/he successfully attacked someone’s VM or configured his/her owndefense VM; on the contrary, the student got negative points when s/he did not prevent an attackfrom others or failed to configure his/her own defense VM. During the competition
interest inSTEM careers and consequently, improve STEM major retention rates.AcknowledgmentThe authors would like to acknowledge that this research was and is supported by the NationalScience Foundation (NSF) Award No. HRD 1911375.References[1] Aikens, M. L., Robertson, M. M., Sadselia, S., Watkins, K., Evans, M., Runyon, C. R., … Dolan, E. L. (2017). Race and gender differences in undergraduate research mentoring structures and research outcomes. CBE Life Sciences Education, 16(2). https://doi.org/10.1187/cbe.16-07-0211[2] Carpi, A., Ronan, D. M., Falconer, H. M., & Lents, N. H. (2017). Cultivating minority scientists: Undergraduate research increases self-efficacy and career ambitions for underrepresented
STEMstudents: A multi-institutional study’” Research in Higher Education, vol. 56, pp. 750–776,2015.[3] L. L. Espinosa, “Pipelines and pathways: Women of color in undergraduate STEM majorsand the college experiences that contribute to persistence.” Harvard Educational Review, vol. 81no. 2, 209–240, 2011.[4] R. Lattuca, P. T. Terenzini and J. F. Volkwein, “Engineering Change: A Study of the Impactof EC2000,” International Journal of Engineering Education, Vol. 20, No. 3, pp. 318-328, 2004.[5] W. Oakes, J. Duffy, T. Jacobius P. Linos, S. Lord, W.W. Schultz, and A. Smith. “Service-learning in engineering,” Frontiers in Education, vol. 6, pp. 6-9, Nov 2002.[6] C. V. Smith, and L. Cardaciotto, "Is active learning like broccoli? Student perceptions ofactive
support from peers with similar interests and characteristics. In addition,engineering programs should consider the development of learning communities centered aroundtransfer students that would offer opportunities for mentorship and foster relationship andcommunity building.References[1] S. Olson and D. G. Riordan, "Engage to Excel: Producing One Million Additional College Graduates with Degrees in Science, Technology, Engineering, and Mathematics. Report to the President," Executive Office of the President, 2012.[2] J. Fredrickson, "Today's transfer students: Who are they?," Community College Review, vol. 26, pp. 43-54, 1998.[3] L. E. Malcom, "Charting the pathways to STEM for Latina/o students: The role of
convergent validity testing between the results and the systems thinking construct.Reflective NarrativeDescription: Students will provide open-ended reflections after each Think Aloud activity and onereport on systems thinking and its implications on project management and engineered systems atthe end of the course. A. The open-ended reflections focus on how the student engaged and learned in the course. It encourages students to recognize positive, negative and neutral aspects of the task(s). B. The report challenges students to determine whether they perceive a benefit of systems thinking in engineering and must support their position. Any individual adjustments made between the pre- and post- knowledge survey is
/Publications/Reports/134539.aspx.3. National Academies Press. Educate to innovate: Factors that influence innovation. (2015). Available at: https://www.nap.edu/catalog/21698/educate-to-innovate-factors-that-influence- innovation-based-on-input.4. Guerra, R. C. C., Smith, K. A., McKenna, A. F., Swan, C., Korte, R., Jordan, S, & MacNeal, R. Innovation corps for learning: Evidence-based entrepreneurship to improve (STEM) education. Frontiers in Education Conference (FIE) Conf. Proc. 1-5 (2014).5. Blank, S. Embrace failure to start up success. Nature. 477(7363), 133 (2011).6. Blank, S. Innovation corps: A review of a new national science foundation program to leverage research investments. (2012).7. National Science Foundation. NSF fosters
, repeatable learning activities, particularly in introductory courses. This might include wikis, discussion forums, task trackers, and source repositories that can be cloned to provide sandbox environments for students to practice and develop skills before work with actual HFOSS communities.AcknowledgementsThis material is based on work supported by US National Science Foundation grantsDUE-1225688, 1225708, and 1225738 (OpenFE), and DUE-1524877, 1524898, and 1525039(OpenPath).References 1. H.J.C. Ellis, G.W. Hislop, S. Jackson, and L. Postner. Team project experiences in Humanitarian Free and Open Source Software (HFOSS). ACM Trans. on Computing Education, 15, 4, Article 18 (December 2015), 23 pages. DOI=http
opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.Bibliography1. J. Popkin and K. Kobe (2010), Manufacturing Resurgence, A Must for US Prosperity, National Association ofManufacturers and NAM Council of Manufacturing Associates, January, 2010.2. National Association of Manufacturers. www.nam.org/Issues/Official-Policy-Positions/Human-Resources-Policy/HRP-01-Education-and-the-Workforce.aspx, accessed Sept 15, 2014.3. Freeman, A., Hrabowski, F. (2012) Broadening Participation in the American STEM Workforce, BioScience,62(4):325-326.4. Frantz, T., Siller, T., DeMiranda, M (2011), Pre-Collegiate Factors Influencing the
, since the impact of the policy changes in this preliminarystudy differed based on student group. The initial results of this study provide some insight intoinstructional policies that have a positive impact on reducing DFW proportions for Calculus I.These findings support the larger effort of addressing issues causing introductory calculus to be abarrier to success for many STEM majors.ReferencesBeichner, R. J., Saul, J. M., Abbott, D. S., Morse, J. J., Deardorff, D., Allain, R. J., … Risley, J. S. (2007). The student-centered activities for large enrollment undergraduate programs (SCALE-UP) project. Research-Based Reform of University Physics, 1(1), 2–39.Benson, L., Moss, W., Biggers, S., Schiff, S. D., Orr, M. K., & Ohland, M. W
., Falconer, K., Benford, R., Bloom, I., & Judson, E. (2000). Reformed Teaching Observation Protocol (RTOP): Training guide. (ACEPT Technical Report No. IN00-2). Tempe, AZ: Arizona Collaborative for Excellence in the Preparation of Teachers.[3] Judson, E. & Sawada D. (2002). “Tracking Transfer of Reform Methodology from Science and Math College Courses to the Teaching Style of Beginning Teachers of Grades 5-12,” Journal of Mathematics and Science: Collaborative Explorations, vol. 5, pp. 189-207.[4] Ross, L., Judson, E., Krause, S. J., Ankeny, C. J., Culbertson, R. J., & Hjelmstad, K. D. (2017, June). “Relationships between engineering faculty beliefs and classroom practices,” in 2017 Proceedings of the
uncovered several insightful findings related to first-year engineeringstudents' use of time. Future work should look at collecting data on a larger scale to determine ifany of the activity categories are significant predictors of success, such as GPA. Additionally,the development and use of a time tracking app and dashboard may allow for deeper findingsinto how students and potentially faculty can think about time spent outside the classroom.AcknowledgementsThis work was supported in part by NSF Grants#1447489 and #1444277. We would like to thankour informants for participating in the field studies reported here. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily
Grant Nos. 1762436 and1762444. The contents, opinions, and recommendations expressed are those of the authors anddo not represent the views of the National Science Foundation.ReferencesAlexander, B. B., Foertsch, J., & Daffinrud, S. (1998). The spend a summer with a scientist program: An evaluation of program outcomes and the essential elements for success. Madison, WI: Citeseer.Chaplin, S. B., Manske, J. M., & Cruise, J. L. (1998). Introducing freshmen to investigative research--a course for biology majors at Minnesota’s University of St. Thomas: How" investigative labs" change the student from passive direction-follower to analytically critical thinker. Journal of College Science Teaching.Cleary, T. J. (2011). Emergence
the design of learning assistant programs in engineeringdepartments but also for faculty professional development. AcknowledgementsWe are grateful for the efforts of the learning assistants who participated in our pilot program,and we thank Jessica Swenson for her important contributions to the pedagogy seminar.References 1. Knight, J. K., Wise, S. B., Rentsch, J., & Furtak, E. M. (2015). Cues matter: learning assistants influence introductory biology student interactions during clicker-question discussions. CBE—Life Sciences Education, 14(4), ar41.2. Otero, V., Pollock, S., & Finkelstein, N. (2010). A physics department’s role in preparing physics teachers: The Colorado learning assistant model. American Journal
activities were internalized, benefitted their development, and could possibly be improved to maximize impact on subsequent cohorts.A. Academic outcomes from the project C.1 The objectives of this project were consistent with my research interests C.2 This experiential learning project had an impact on my hands-on/laboratory skills and data collecting skills Which one(s) in particular? C.3 This project had an impact on my presentation skills Which ones(s) in particular? C.4 This project developed my technical skills C.5 This activity enhanced my content knowledge? C.6 I was able to integrate knowledge from many different sources and disciplines (example, chemistry, biology, engineering, technology, computer science, environmental sciences, etc)B