projects, describing the ideas,process, and the criteria used. Two types of oral presentations were made: one where the studentsexpress themselves through poems and the second is a final oral presentation describing everystep of each project developed, in presence of the parents, family, and friends. Figure 3represents pictures from the camp.Lessons learned from summer camp:The activities of the camp and the degree of their success will be shared with other CAMmembers to determine the possibility that some of the activities would be implemented on othercampuses. Knowing that other campuses in CAM plan to have similar summer camps, we alsoplan to learn from the success of activities from these camps.During the summer, twelve high school students
AdultDevelopment. 11(2): p. 103-110.23 S. Bell, "Project-Based Learning for the 21st Century: Skills for the Future," The ClearingHouse: A Journal for Educations Strategies, Issues, and Ideas, vol. 83, no. 2, pp. 39-43, 2010.24 Abd-El-Fattah, Sabry. “Garrison’s Model of Self-Directed Learning: Preliminary Validationand Relationship to Academic Achievement,” The Spanish Journal of Psychology. 13(2): p. 586-596. ISSN 1138-7416.25 Jones, B.; Paretti, M.; Hein, S.; Knott, T., “An Analysis of Motivation Constructs with First-Year Engineering Student: Relationships Among Expectancies, Values, Achievement, andCareer Plans”, Journal of Engineering Education, October 2010.26 Carberry, A., M. Ohland, and C. Swan (2010). A pilot validation study of the
. Hersam, “Nanotechnology Research Directions for Societal Needs in 2020: Summary of International Study”, Springer, 2011.5. The National Nanotechnology Initiative – Strategic Plan, December 2007.6. “History of Military gaming,” www.army.mil. [Online]. Available: https://www.army.mil/article/11936/history_of_military_gaming. [Accessed: 26-Jan-2018].7. E. C. Crossman, “"Dry Shooting" for Airplane Gunners,” Popular Science Monthly, vol. 94, no. 1, pp. 13–14, Jan-1919.8. M. Bernard, “Real Learning through Flight Simulation: The ABCs of ATDs,” FAA Safety Briefing, pp. 8–10, 2012.9. E. A. Keshner and J. Fung, “The quest to apply VR technology to rehabilitation: tribulations and treasures,” Journal of Vestibular Research, vol. 27, no. 1, pp. 1
fewcourses…they exclude anybody who’s not in their program. This is the only opportunity to dothis path with Python.Another student, who plans to pursue a career as a financial analyst, mentioned the experience ofher cousin as a motivator for enrolling in ACBSS courses. Specifically, she hoped to avoid thechallenges her cousin encountered while on the job due to a lack of programming skills:My cousin [works as a financial analyst] and they require you to have Python and R. She nevertook these classes and she struggles.Three focus group participants discussed the ways in which their perceptions of computingchanged since beginning the ACBSS course sequence. One student described how he initiallyviewed computing as focused mostly on syntax, but now
concerning the exercises planned for the lesson. On the first daystudents were exposed to design by showing them PowerPoint slides of aircraft and, in particular,pairs of aircraft that were designed for the same mission but that show very different approachesto the design. Having given them some ideas for thought, students, in their teams and without anyaccess to research sources (i.e. internet), addressed the overarching question “What is aircraftdesign?” In short sessions, called Quick Thinks (extended Think-Pair-Share exercise), teamsaddressed a series of questions. The first question, “What is design as it applies to an aircraft?”,prompted the students to develop a definition of design and then specifically how does that applyto aircraft in
somebody else •Cost. variables but •Small-group •Peer or teacher has created) should or •Environment. not designs). discussion. feedback on should not be adopted •Ethics. •Observations •Whole-class written drafts. in a particular context. •Evidence (observations of discussion. •Read scenarios •Design: A design or from tests. that introduce natural designs) design element, •Human users. the problem. •Tests (planned, which the student(s) •Originality
tocover the design of a multidisciplinary mechatronics system, requiring mechanical, electrical, andcomputer engineering. A multi-disciplinary approach has been popular in capstone courses 1 .Students in the course learn fundamentals of engineering design. Projects are assigned to studentsbased on availability of equipment and facility, as well as the technical interest of students. Class Figure 1: C1 Spider crawlerprojects require planning, proposal presentation, scheduling, engineering, implementation, andwritten and oral presentations of project results. The sequential nature of these assignments in thedesign-build-test model is common for capstone-project courses at elite universities 2 . Students’abilities
substantial effort. Inaddition, most approaches emphasize comparing learners’ performance against those of theexperts’ and less about the evaluation the actual learning performance of the individuals [4].Automated Learning Assessment Tools were designed to help instructors analyze the students’systems engineering learning progress by organizing and analyzing gathered decision-makingdata from SEEA. SEEA captures learner approaches to decision-making (throughrecommendations), and by use expert choices and protocols as a baseline for “good” decisionmaking, one can assess learner understanding.The evaluation plan for learner performance focuses on: Benchmarking with an objective “score” which is also useful in motivating students Comparing
circuits class is figuring out what methodto use to solve a particular problem. Students often feel they are swimming in a sea of equations,and that every problem is unique with little or no relationship to others they have solved. Toaddress this challenge, we created a circuit analysis toolbox, shown in Figure 2. Each section ofthe toolbox shows the input and output variables for each method. The sections can be cut intocards (many students glue these to 3x5 cards). Then, the cards can be arranged to plan out themethod to solve a particular problem, matching up the input and output variables for eachmethod, somewhat like dominos.Figure 2 Circuit analysis toolbox. Each block describes input and output variables for eachmethod. These can be cut
theirparticular course or project. Several implementations are described below.The workshop was implemented twice in a management engineering capstone design projectseries of courses. In one implementation, it was delivered just after the mid-point of the designprocess, as students were creating detailed design verification plans. In this case, the “concepts”on which the students sought peer feedback were different ideas they had come up with to verifytheir designs. In the other implementation, the workshop was delivered about one-third of theway through the design process, once students had completed their problem formulation phaseand had begun creating a number of different conceptual designs to address the identified need.The workshop was also
related concepts for innovation within thetranscripts, but those in self-described innovative position had “success” as the fifth most relatedconcept, whereas those in non-innovative positions had “initiative”. Indeed, limited opportunitiesand negative experiences were more commonly reported by those in self-described non-innovative positions, and those self-described innovative positions were more likely to reportsatisfaction and plans for continuing on their current career path. Clearly, automated assessment cannot substitute human qualitative judgement in itscurrent form. However, due to the ease and speed of ranking compared to the lengthy and labor-intensive process of manual qualitative content coding, related concepts can be
students’ interest in this course, which also improved their performance.1. IntroductionRobotics is becoming one of the most attractive majors in the Colleges of Technology because ofthe advantages in respect of applications, jobs, and prospects. Therefore, more and more Collegesof Technology have or are planning to create robotics program. Usually, as an interdisciplinaryfield, the robotics programs are provided by either Computer Engineering Technology or MET.However, students of Engineering Technology, especially MET, are facing two dilemmas whenproviding robotics courses:(1) Technology programs mainly focus on hands-on skills and there are fewer fundamentalrobotics-related courses in the MET curriculum than in electrical engineering
-direct their own creative idea generation and then move from that into theformation of a team work plan. A few learning interventions were employed with the goal of promoting students’ growthin confidence and ability to work on open-ended problems. One intervention was the use ofimprov-theater inspired game breaks during class. Improv-inspired games were used becausethey are easy and fun to implement, and because improvisation is, effectively, an open-endedproblem: the players must create something without knowing what the result will be or how theywill do it [12]. A number of articles have suggested the use of improv-type games as a way toinspire creativity and positive risk-taking in college classrooms, including engineering andbusiness
students and 1 transfer student. High school GPA was onlyreported for 50 students of the total sample including 4 female students and 1 transfer student.The authors realize that the data are limited for this study and plan to keep expanding the data setwith future graduating classes.SAT scores were not available for all students in the sample. In the event that a student reportedACT score but no SAT score, the ACT math score was converted to an equivalent SAT mathscore using College Board’s concordance tables [10]. It should be noted that there is errorassociated with converting between ACT and SAT test scores, however the concordance tablesthat were used achieved a 0.89 correlation between ACT and SAT math scores. With this highcorrelation the
References1. https://keenwarehouse.blob.core.windows.net/keen-downloads/KEEN_Framework_spread.pdf (accessed 2/4/18)2. Schlosser, E. Command and Control: Nuclear Weapons, the Damascus Accident, and the Illusion of Safety, Penguin Books, 2013.3. http://www.polarinertia.com/jan04/titan01.htm (accessed 2/4/18)4. http://www.pbs.org/wgbh/americanexperience/films/command-and-control/ (accessed 2/4/18)5. https://www.ajg.com/media/1697472/globalization-developing-your-international-risk- management-plan-pousson-zimmaro.pdf (accessed 2/4/18)6. Deci, E. L., & Flaste, R. (1995). Why we do what we do: The dynamics of personal autonomy. New York: G P Putnam's Sons.7. Ryan, R. M., and E.L. Deci. Intrinsic and Extrinsic Motivations: Classic Definitions
toaddress these known deficiencies in our curriculum. In the context of experimentation, designcan be interpreted as the design of an experimental plan to solve a stated problem. This includesdeveloping measurement protocols, study methodology, quantifying experimental uncertainty, anddata-reduction. In laboratory courses that support engineering science courses (examples includestrength of materials and fluid mechanics), time constraints can limit inclusion of experimentaldesign and detailed guidance on technical writing.This paper describes the development and implementation of this unique course. The follow-ing sections will present the course design, provide detailed module descriptions, and summarizecourse assessment of learning
block diagram of the EMI monitoring labFigure 14. Magnetic interference data collected from multiple sources—a microwave oven, an AC power supply, a cell phone tower, and a campus transformer vault.Course AssessmentThe Office of Academic Planning and Assessment at Sam Houston State University coordinatesthe institution’s student ratings of instruction (SRI) instrument, the IDEA Evaluation process.This instrument has a 1.0 to 5.0 scale, where 5.0 is highest ranking, and is useful for translatinginformative course feedback into actionable steps to improve student learning. In addition to theuniversity’s set general learning objectives, additional learning objectives aligned with ABET-ETAC Criteria 3 were also included
normal distribution [10]Phase three Since the goal is to identify the potential effects of tags that caused for variation of positions and to develop a desirable position of maximum readability for the identification and tracking of shipping carts for inventory control in horticulture industry, the study will focus on three positional factors. The propose of the study is to test the main effect and interaction effect of the following factors: A: Linear Distance B: Angle C: Height To analyze and evaluate different positions, a full factorial experimental design is planned with the three factors. Two levels are selected for each factor, thus resulting in 23 distinct combinations for each replicate. The analysis will
within 6 consecutivesemesters. This is a significant barrier since students who do not pass Calculus I cannot moveforward to enroll in advanced Physics and Engineering courses.Analyses conducted by Skyline College’s Office of Planning, Research, & InstitutionalEffectiveness have found that the most common “attrition points” for students on a STEM-related pathway at Skyline College are the failure to pass MATH 251 (Calculus 1; 60% successrate); PHYS 250 (first-course in the 3-course Calculus-based Physics sequence; 60% successrate); and CHEM 192 (prerequisite to the CHEM I and II sequence, 55% success rate). Studentswho do not pass Calculus 1 are unable to advance for further study in “Calculus-based” STEMdisciplines: Engineering, Math
students in the 2018-2019 academic year. It is planned to utilize the custom VRflight simulator to assist in motivating students during their aircraft design projects, and provideadditional insight into the aircraft design process. After students get an idea of the size of theiroriginal aircraft, by estimating the power loading, wing loading, drag, lift-to-drag ratio and fuelfraction, the take-off weight can be approximated. This is followed by engine sizing andselection, wing geometry and placement, airfoil selection and tail geometry and sizing. Beforetoo long, the student will be able to “rough out” their original aircraft in X-Plane by specifyingall the necessary design parameters. This will give students the opportunity to take their
program.The authors are planning to extend this study in future work to include more universities especiallythose interested in offering interdisciplinary programs and study the technical content of thecybersecurity-related courses offered by their respective departments.6. References[1] Juniper Research©, "Cybercrime will Cost Businesses Over $2 Trillion by 2019," 2015. [Online]. Available: https://www.juniperresearch.com/press/press-releases/cybercrime- cost-businesses-over-2trillion.[2] SANS ICS, "Analysis of the Cyber Attack on the Ukrainian Power Grid: Defense Use Case," 2016. [Online]. Available: https://ics.sans.org/media/E- ISAC_SANS_Ukraine_DUC_5.pdf.[3] J. B.-S. H. R. R. a. U. Lee, "Anatomy of the Information Security Workforce
; Master’s degree holders byage 62, and Doctorate degree holders by age 66. Which means, from January 1, 2008, the ageBoomers first started to turn 62, and then January 1, 2011, the age Boomers first started to turnage 65, we would expect to experience a significant exiting of skilled labor. This clearlyrepresents a trough in the available workforce when compared to the available backfill of GenX’ers.Restating, since January 1, 2011, someone turned 65 years of age at a rate of nearly 10,000 perday, approximately 4 million per year, until 2029. This is not necessarily good or bad, it simplyprovides interesting information for thought and planning in everything from produced goods toservices.Current revisions to the mortality tables used by insurance
excluded because a control or comparison group was not includedto establish “effectiveness” of the intervention. An example of this type of exclusion is a citationanalysis performed after an intervention with no baseline or other comparison. Overall, theauthors note the EIL literature frequently reports descriptive statistics, showing that data hasbeen gathered, but sometimes falls short of a full analysis that allows the researchers to drawmeaningful/well-grounded conclusions from the data. The authors plan to complete a fullanalysis of the papers identified for inclusion and publish the results in a journal article.References[1] C. Torgeson, J. Hall, and K. Lewis-Light, “Systematic reviews,” in Research Methods and Methodologies in
Industrial Designdepartment, including developing lesson plans and teaching the engineering instructors the moredetailed methods of free-hand sketching to a level that they could teach these skills to theirstudents. Many engineering departments do not have this resource at their disposal, making itnearly impossible to prepare for teaching this method.Another drawback is the difficulty and time it takes to properly evaluate student work producedusing this method. There is currently no tool or rubric available to consistently evaluate sketchesat a meaningful level and must rely heavily on the knowledge of the grader to recognizequalitative features. With the large class sizes present in many engineering programs today, thisproblem may cause the
planning solutions, specifically traffic micro-simulation projects.Angela D Wenger, Center for Aquatic Sciences Angela Wenger has worked in informal science education since 1991. She has been involved in many facets of the museum experience, including designing and presenting many of the museum’s public pro- grams and exhibits, youth development programs, programs for underserved audiences, and professional development experiences. Her background includes 23 years of scientific research in a myriad of science topics, as well as psychology and family learning in museums. She has taught general biology, chemistry, aquatic science, and ecology for 20 years. Ms. Wenger is active in a variety of professional informal
for high school and middle school students from across the state to participate in STEM-related activities. To date, these activities have been centered around rotary-wing UAS, predominantlyusing less complex 3D printing fabrication techniques. However, we plan to eventually integrate simpletechniques that may be adapted for K-12 students to design and construct fixed-wing UAS. In addition,UAF is involved in developing several future activities, including a proposed effort to coordinateeducational opportunities for K-12 teachers from across the state, as well as UAS competitions, such asthe popular drone racing.Modern Blanket Toss. The Modern Blanket Toss is a STEM program administered by Alaska UpwardBound and the National Science Foundation
tostudents in the traditional course.In the following sections we summarize the differences in the content and pedagogy of thetraditional and novel introductory courses, the success rates for both cohorts of students in theintermediate C programming course, the final results of our studies regarding student identity andefficacy beliefs from the two introductory courses, including for students from underservedpopulations, and our plans to develop a technology-driven version of the intermediate class.Pedagogical differences between the twointroductory C courses Table I.A comparison of assessment weights. The two introductory programming courses are Assessment Novel course Traditional coursequite similar in
students.AcknowledgementThis work is supported through a grant from the National Science Foundation (Awards #1428689 and 1428523).References: 1. Blickenstaff, J. C. (2005). Women and science careers: Leaky pipeline or gender filter? Gender and Education, 17(4), 369–386. 2. Takahira, S., Goodings, D. J., & Byrnes, J. P. (1998). Retention and performance of male and female engineering students: An examination of academic and environmental variables. Journal of Engineering Education, 87(3), 297–304. 3. Tai, R. H., Liu, C., Maltese, A., & Fan, X. (2006). Planning early for careers in science. Science, 312(5777), 1143–1144. 4. Tai, R. H., Potvin, G., Loehr, J. F., & Lloyd, S. S. (2008). The doctoral experiences of students and
P6) things. (Day 1, P2)Although in future analysis we plan to further examine each set of talk turns in order to identifyprevalent themes for each type of communication challenge, here we limit ourselves todiscussing frequency of each code.Table 2 shows the number of codes given for each communication challenge. Looking across allperiods and both days, there was a significant difference in the number of times the peer-observers discussed each of the four types of communication challenges: X 2 (3, N = 210) =23.52, p < 0.001. However, that significance disappears when looking just at the three mostdiscussed types, X2 (2, N = 210) = 2.10, p = 0.35. Also, no significant difference was found afterclustering the four types
STILAS programto have students meet frequently with their advisors, the reality is that they would have done soanyway. It is difficult for a student to fall through the cracks. Clearly such an environment supportsthe goals and methods of an S-STEM program. It is unclear how well the STILAS model wouldwork in a less personal setting.Future work focuses on improved recruitment. It proved harder to recruit underrepresentedminorities than to keep them. Academically talented students have many options, some with moreresources to offer. We plan to redouble our outreach to local high schools, and work to improveour bridge and transfer programs.AcknowledgmentsFunding for the STILAS program was provided by NSF under DUE-1154354. We would like tothank the