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
. Responses Questions Team consisting of Team consisting of two students individual student (one h/w focused and one s/w focused)Approximate time • 55 total hours (30 hours for s/win hours you • 24 hours focused student and 25 hours for h/wworked on this focused student)projectLevel of difficulty(1 5, with 1 asextremely easy, 3 as • 4.3 for s/w focused student • 4moderately difficult, • 4 for h/w focused student5 as extremelydifficult
survey examinesthese collaborative relationships only in the United States, while it is important to include foreignliterature in the historical development of these relationships.BackgroundIndustry-academia collaboration is not a new concept as we find the earliest discussion occurringat the end of the 1960’s,3 in Russia. These collaborations sponsored by the governments ofcountries4,5 interested in promoting this kind of activity, eventually became individualrelationships between companies and universities throughout the rest of the world. Currentliterature indicates that such relationships became more of the norm in the late 1990’s and in thelast decade commonplace in various forms. Recently, consideration of minorities, women, andother
is having difficulties in their process and step in to assist.Design challenges provide a safe environment for students to feel the pressure of working on achallenge problem with a tight timeline. However, the stakes are not so high that failure iscatastrophic. In addition, they see where they are failing and work to develop methods toanticipate failure conditions and avoid them. Further studies need to be performed to determineif students’ increase in skills and confidence transfer to their other design experience in theiracademic and professional careers.REFERENCES 1. ABET. (2000). ABET Engineering criteria 2000: criteria for accrediting programs in engineering in the United States. 2. Jamieson, L., Brophy, S., Houze, N
0 0 3For calculating the TE values represented in table 2, based on TE equation, joint probabilities arecalculated for emerging node degrees observed in table 1. Table 2. Transfer Entropy values calculated based on table 1 Source Node Destination Node Transfer Entropy Transfer Entropy (S) (D) (S-D) (D-S) N1 N2 0 0.2442191 N2 N3 0 0.2073259 N3 N4 0.09370405 0 N4 N5 0.150515
Engineering Education, 2016 Performance of Engineering and Engineering Technology Scholars in the Transfer Pipeline (TiPi) ProgramAbstractThis paper introduces the Transfer Pipeline (TiPi) Scholars’ program funded by the NationalScience Foundation (NSF) that focuses on students who transfer at the 3rd year level from 2-yearschools to our university. The objectives of the TiPi program are: (i) to address a nationalconcern by helping to expand the engineering/technology workforce of the future, (ii) to developlinkages and articulations with 2-year schools and their S-STEM programs, (iii) to serve as amodel for other selective universities to provide transfer students the access to the baccalaureate,(iv) to give scholars hands-on
. Mazur, E., King, G. & Lukoff, B. learning catalytics. (2015). at 5. Hanson, D. Instructor’s Guide to Process-Oriented Guided-Inquiry Learning. (2006).6. Callister, W. D. & Rethwisch, D. G. Fundamentals of Materials Science and Engineering: An Integrated Approach, 4th Edition. (John Wiley & Sons, Inc., 2012).7. Krause, P. S. J. MaterialsConcepts. (2012). at 8. Yalisove, S. M. MSE Video Page. University of Michigan (2014). at 9. Krause, P. S. J. MatSciASU Quizlet. Quizlet LLC (2015). at 10. Solve a Teaching Problem. Eberly Center for Teaching Excellence and Education, Carnegie Mellon at 11. Carberry, A., Krause, S., Ankeny, C. & Waters, C. ‘Unmuddying’ course content using muddiest point
Figure 2. Pictures of plastic venturi sections for (a) Air flow and (b) Water flow.time to figure things out, although open-ended play with the hardware was encouraged. TheTA(s) and instructor were in the room to interact with the students.Venturi nozzle experimentThe first experiment implemented was based on flow through a venturi. The learning objectivestargeted for this experiment were • How fluid flow rates are measured. • How Conservation of Mass defines the relation between velocity and cross-sectional area in a conduit. • How the Bernoulli Equation defines the relation between pressure and velocity in a flowing fluid. • How experimental and ideal conditions differ.Students performed experiments with both
systems and only two students mentioned theimportance of gender issues in their learning objectives. Only 7 out of 12 students included alearning objective in where sustainability was mentioned or where vulnerability wasdiscussed.Table 2: Intended learning outcomesTheme Students (first name initials) Num.The systems’ components and functions. -‐ concepts of the system D, E, G, S 4 -‐ description of the system and its components A, B, C, D, E, G, H, M, R 9 -‐ function of the system A, B, C, E, M, R, S, Z 8 -‐ borders of a system; interaction with other A, E, F, H, M, R, S
. Iterate Iteratea The difficulty of meeting the requirements will necessitate iteration.b The difficulty of manufacturing will necessitate iterative prototyping.c My team has minimal prototyping experience.3 For a high avg, use a virtual prototype; else, use physical models. Physical Virtuala Virtual prototype(s) will require less time than a physical one(s).b Virtual modeling will validate: physics, interfaces and/or requirements.c A CAD model is needed for analysis (FEA, CFD, etc.) or manufacture.d Time & budget allow pursuit of both virtual and physical prototypes
, associated sections in selectedtextbooks, process background and problem(s). The solution to module problem(s) will beprovided upon request from instructors.Due to the complex nature of the biofuel processes and students’ limited exposure to biofueltechnology, most students would feel incompetent in dealing with problems related to biofuel. Tohelp students overcome this barrier, we have also been creating a series of web modules toaccompany the classroom modules by exploiting two recently emerged instructional strategies:computer-assisted instruction and visual learning. Computer-assisted instruction is an innovativeinstructional strategy that has been receiving increasing attention in engineering education 16. Ithas been shown that computer
of students to similartopics, the instructors opted to leverage external educational resources provided by Autodesk,and incorporated the online Building Performance Analysis Certificate (BPAC) program as partof project personnel training requirements. The certificate program embraces broad butfundamental knowledge and skills in building physics, building systems, and informationmodeling applications that can jumpstart students’ understanding of the synergies betweensustainability and BIM.As for LEED resources, students in CM-177 were provided with access to US Green BuildingCouncil (USGBC)’s interactive web-based LEED reference guide that offers step-by-stepguidance on how to achieve and document each LEED credit for both the current and
., Rokooeisadabad, S., Subramaniam, M. (2013). Project-Oriented Pedagogical Model forConstruction Engineering Education Using Cyberinfrastructure Tool,, Journal of Professional Issues in Engineering Page 26.1083.10Education & Practice, ASCE, 139 (4). 300-309.Goedert, J., Rokooei, S., Pawloski, R. (2013). A Project-based Simulation Model for Construction Education, 5thConference on Higher Education Pedagogy, Virginia Tech, Blacksburg, VA.Goedert, J., Rokooei, S., Pawloski, R. (2012). Virtual Interactive Construction education: A Project BasedPedagogical Model for Construction Engineering and Management, 4th Conference on Higher Education