Page 24.495.7other verbal disfluencies, as I could muster. Many readers may find this transcription methodunnecessary and even a display of poor judgment on my part as a “scholar.” I must thereforejustify this transcription as based on a methodology that aims to show, rather than summarize,how the interview participant talked about their experience, providing some idea of the difficultiesin relating this information during the interview, and really provide the reader with some sense ofthe reflection the participant had to undergo to describe their experience. I thought that my choiceof transcription method fell in line with the overall goal of this paper. I wrote this paper to showwhy events like the KDS are valuable tools for engineers to
with the highestcode density and variety to obtain a teacher’s best example of instructional practice, (b) maintainthe proportion of the before, during, and after segments to reflect the overall structure of theentire unedited lesson, and (c) maintain the continuity of the lesson so that segments were neverless than two minutes in length. As an example of this editing process, if a teacher’s entire 40minute lesson consisted of 15 minutes of before activity, 20 minutes of during, and 5 minutes ofafter activity, the 20 minute edited version would consist of 7.5, 10, and 2.5 minutes from eachrespective activity. To retain continuity, additional video was selected, if needed, to providenecessary context and/or to reach the minimum of a two-minute
National Science Foundation (NSF EEC1227110; NSF EEC 0956819). Any opinions, findings, and conclusions or recommendations Page 24.609.14expressed in this material are those of the author and do not necessarily reflect the views of theNational Science Foundation.Bibliography1. Chang, R. P. H. (2006). A call for nanoscience education. Nano Today, 1, 6-7.2. Lu, K. (2009), A study of engineering freshman regarding nanotechnology understanding, Journal of STEM Education, 10, 7-16.3. Delgado, C. (2009). Development of a research-based learning progression for middle school through undergraduate students’ conceptual
concepts. Continued poor performance inthermodynamics is linked to students not grasping key concepts and failing to recognize how toapply relevant concepts in solving problems.(1) Many students succeed at algorithmic problemsolving yet have difficulty explaining the physical systems being described by the mathematics.This is reflected in low scores on concept inventory exams which require minimal mathematicalcalculations, but are designed around common misconceptions.(2,3)Poor learning has been linked to not being able to correctly assess the information provided andbegins with a lack of clear understanding of the fundamental concepts. A coherent framing ofproblems is essential to reason through new problems.(4) To address this, teachers often
found career success in some form or another, while moststudents are still exploring potential career options. Consequently, their views on the world,motivation, and future goals likely reflect their current status. A longitudinal study examininghow perceptions of entrepreneurship change based on career status and stages of adultdevelopment would be benefit and provide more insight on this issue. It is clear, however, that students and faculty members possess differentconceptualizations of entrepreneurship. Therefore, it is important to continually track students’perceptions in order to ensure that they view their education as relevant to their future careersand other personal goals. In entrepreneurial education, this may involve
process, calculate takt time, and identify how to Balance and 6Sthe process.Week 5 concluded with a lecture on designing a test plan which would help the students with thetest day for the navigation challenge. The lecture emphasized the importance of testing andcreating a design which is flexible enough to account for reasonable variability. The studentswere assumed to have no statistical training and therefore, the lecture reflected their level ofcomprehension. Students were encouraged to think of the program they had created so far fortheir maze competition and what problems they could face if the maze was designed in a certainway which they had not yet anticipated. F. Week 6On week 6, students were given a brief overview of Systems
which enhance overall student learning byaffirming that students’ contributions and ideas have value.‘You’re Hired!’ is designed to be a series of short term interventions that give students authenticexperiences that can later be built on in the classroom. During the activity teachers are availablefor student support, but also have the opportunity to stand back and observe student learning.This allows teachers to see gaps within students’ ability to utilize educational material and takenotes. In the following days in the classroom, teachers now have a personal experience forstudents to reflect on while revisiting key material. For example, an English teacher at oneschool realized that while students had learned about citations, many of the
study.Table 3. Descriptive Statistics of Indicators for Cohort Comparisons Traditional Cohort Inverted Cohort % or % or n Mean (SD) n Mean (SD) Learning Style - Active/Reflective: Reflective 266 53% 285 58% Learning Style - Sensing/Intuitive: Sensing 266 61% 285 63% Learning Style - Visual/Verbal: Visual 266 79% 285 81% Learning Style - Sequential/Global: Sequential 266 60% 285 62% Prior academic
Program will bediscussed, and the results and findings will be compared with results from the 2012 Program.The views expressed in this document are those of the authors and do not reflect the official policy or position of the United States Air Force, Department of Defense, or the U.S. Government. Page 24.1279.4IntroductionTo meet the technology needs of our increasingly complex global society, engineers in the 21stcentury are now expected to exhibit key attributes to ensure their success and the success of theengineering profession, according to the National Academy of Sciences in their groundbreaking2004 report entitled The Engineer of 2020
Solids of Revolution 2. Combining Solid Objects 3. *Isometric Drawing & Coded Plans 4. *Orthographic Drawings 5. *Inclined and Curved Surfaces 6. Flat Patterns 7. *Rotation of Objects About a Single Axis 8. *Rotation of Objects About Two or More Axes 9. *Object Reflections and Symmetry 10. Cutting Planes and Cross SectionsSince a significant number of assignments arepublished in the workbook, to reduce therequirement of digitizing all of the assignmentsand solutions in order to integrate them into theSVT app, only the sketching assignments thatwere assigned in the sample course on theEngage Engineering site were used.Modules 4 and 5 require the users to learn howto draw orthographic
the course4. A concept map is essentially a mental web of connected terms or topics,where the centermost term is the primary learning focus and lines are used to connect relatedconcepts. This results in a web of interconnected concepts that reflect the way studentsassimilate the new information. The three main questions guiding the study reported here are: 1) How can we decode the variety of ideas and structures that students include in their concept maps? 2) How can we use discoveries from this decoding to make lectures and labs more effective? 3) What improvements can be made to the way students are assigned drawing concept maps to further increase the usefulness of concept maps in capturing their learning? The
problems involving the engineering design process, criticaland creative thinking, and technology applications (such as JMP, Pspice, TI Calculator software,CAS) are planned for inclusion.The textbook offers an authentic opportunity to tie content to the Next Generation ScienceStandards and Common Core standards in Mathematics. Authentic examples provide a realisticcontext in, for example, "Defining and Delimiting Engineering Problems" (NGSS) and "Modelwith mathematics," from the Standards of Mathematical Practice in the Common Core,Mathematics standards 3,4.Reflection on Mathematics Textbooks Before DevelopmentTextbooks have been the common tools for communicating mathematics to students alongsidethe demonstration of practice problems on the board
adoption of different educational technologies; these included the school wideadoption of tablet PCs, participation in workshops on different educational technologies, andpublished literature on STEM education and educational technologies.Determining the impact of adopted technologies on teaching and learning in the department’sengineering mathematics classes presents many challenges: individual differences in studentsand faculty are hard to control for, course grade may not always reflect an improvement inteaching and learning, qualitative improvements can be difficult to measure, and a host of otherchallenges most educators are familiar with. In literature on the educational technology, resultshave included: cost savings, reductions in DFW rates
“speed dating” session with themwhere they asked about how they chose their major and what they would have done differently.The design process was presented, and then the students were then introduced to the grandchallenges. During the 2012 class, eight weeks were used to discuss and learn about the grandchallenges, during the 2013 class, only four weeks were allotted. Condensing the time spent onthe grand challenges increased the rigor of the course. Reflection assignments during this timewere designed to assess their understanding of the grand challenges as well as to provide theapplication of the design process. Students learned how to translate the challenges intomanageable problem and needs statements. Each week, the topic went slightly
many random, turbulent eddies. These random fluctuations willdisperse the pollutant away from the plume centerline, resulting in a normal or Gaussiandistribution of concentrations in both the vertical (z) and crosswind (y) directions. Assuming aconstant wind in the x direction, a non-reacting pollutant, and total reflection from the ground,the concentration of pollutants downwind at any point x, y, and z can be predicted with thefollowing equation:4 Q y2 z H 2 z H 2 C exp exp exp 2u y z 2 2 2 z2 2 z2
. Page 24.54.9 Students were required to write a project report to document their design, implementation, and test results. The quality of reports was uneven across the class. On reflection, this result is understandable given that, typically, our students have not taken a technical communications course before taking the digital logic course. On the last day of class, students were asked to complete a survey concerning their experiences relative to laboratory exercises and term project. See Table 3 for a summary of the results. The same survey will be given at the end of the current (spring 2014) offering of the course. Generally speaking, the survey results are consistent with the observations of the authors. The
during the 1970s 9 . Since that time, the importance and need fora workforce skilled in cybersecurity has grown rapidly 17 . Due to this rapid growth, and thetremendous breadth of material that falls under the umbrella of cybersecurity, a wide array ofcontent and pedagogical practices have been incorporated into today’s cybersecurityclassrooms.While this diversity reflects the reality of cybersecurity education, it is a major hindrance to thedevelopment of a consistent model for cybersecurity education. Areas which could beincorporated into this domain, include: computer architecture, criminology/law, cryptography,databases, human-computer interaction, information retrieval, information theory,management/business, mathematics, military science
-managed and Page 24.391.8effective learning unit. The faculty takes great pains to foster this growth and help manage theseteams throughout the semester.The live portion of the class necessitates the utmost faculty preparation and organization. In thefirst ten minutes of the class, a question and answer discussion is held reflecting the materialcovered in e-learning to gauge the level of understanding of the students. Concurrently, theteacher assistants gather e-learning surveys that the students filled out after watching the onlinelectures. The results are quickly compiled identifying common difficulties for the faculty toaddress. A 15-minute
(Transforming Undergraduate Education in Science,Technology, Engineering, and Mathematics) project, award number DUE-1140502. Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe authors and do not necessarily reflect the views of the National Science Foundation.References[1] Pretz, Kathy, A new IEEE group is taking on the quest to connect everything, IEEE The Institute, October, 2013. (http://theinstitute.ieee.org/technology-focus/technology-topic/exploring-the-impact-of-the-internet- of-things)[2] Gunkel, David, Communication and Artificial Intelligence: Opportunities and Challenges for the 21st Century, Communication +1, 1(1), 2012.[3] Lowe, D., Murray, S., Lindsay, E., and
based on experimental data; (5) validation of the green energymanufacturing laboratory models through several student projects. We also continuously improved theexperimental activities as well as the teaching modules based also on student project evaluations. Thequestionnaire is designed to reflect the students’ understanding of the overall micro manufacturingenergy system and target the benefits of technologies for high precision engineering applications. Thehistograms in Figure 19 demonstrate the evaluation results for the questionnaire provided to thestudents. The students evaluate the following question statements on the scale from1 to 5, where 1indicates “strongly disagree” and 5 indicates “strongly agree.”1. I have grasped the green
while the remainderconducted the exercises in the ‘remote’ mode. In both cases, teaching assistant (TA) supervision Page 24.431.8was present for this study and the group size was the same for all the labs (typically 3 students)..We did not modify the laboratory instruction manual to reflect specifics of the virtual controlscreens nor did we establish the rationale for the remote laboratories to the students throughwritten instructions. Students were told that they were participating in a pilot study by the TAsand were instructed to complete a Likert survey querying them on various aspects of thelaboratory experience
towirelessly control power flow in a hybrid AC-DC power system. The methodologyencompasses numerous educational aspects that teach the undergraduate student a myriadof engineering concepts, all essential to his/her success as an engineer. Upon completingthis methodology with the instructor, the student will have been introduced to powerelectronics concepts such as microgrids, plug-in electric vehicles, power flow, anddevices such as bidirectional converters. The student has also familiarized themselveswith the fundamentals of Matlab Simulink and has gained a greater understanding ofmicrocontrollers and how they can be utilized to control power electronics devices on abasic level. The student should be able to reflect on all of these new and
and central campus for technology and instructional design support.2. Create problem-based learning, • Center instruction on skills development formultimedia rich, and interactive resolving core information challenges in themodules to facilitate self-directed library research process.learning • Facilitate learner-content interaction for students to elaborate and reflect on the course content through interactive online quizzes. These quizzes could offer automated evaluation
invitestudents into their group by entering their login username. Upon joining, the new studentmember can edit/update the submitted bid to reflect the renewed strength of the team to work onthe project based on the addition of the new team member. Page 24.478.8 Figure 5 Groups' View for StudentsProject-team assignmentsOnce all the bids from all teams are received, they are sorted and presented in form of a matrix ofteam names and project titles indicating the priorities ranks specified by the teams as shown inpartial Table 1 (from Fall 2013 data). The top row, E1, E2, etc. indicates the project code and thenumbers
requirements are in Table 5. Part data sheetsand schematics for basic connections were also provided. To get teams started, a hands-ontutorial session with the mbed NXP LPC11U24 microcontroller board was held in the fourthweek. Then teams worked independently with their mentors over the next two weeks. Table 4. Materials Provided Provided Parts · RACE-TIN radio-controlled 1:16-scale model of the Dodge Challenger SRT8® 392 · Up to 3 sets of four AA batteries · ARM mbed NXP LPC11U24 microcontroller board · Pololu QTR-8A reflective sensor array · TI L293D motor driver chip · Small breadboard · Jumper wires · Storage containerIn the seventh week, class time was used for each team to
of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. Page 24.532.9Bibliography1. Rossetti, M. Clausen, E., Gattis, C. S., Hale, M., & Needy, K. L. (2013) On the development of a student integrated intern research experience as a pathway to graduate studies. 2013 American Society for Engineering Education Annual Conference Proceedings. Atlanta, GA.2. Peppas, Nicholas A. “Student Preparation for Graduate School Through Undergraduate Research.” Chemical Engineering Education, V15 (3), pp135-137, Summer, 1981
, and Mathematics) project, award number DUE-1140502. 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 Science Foundation.References[1] Elliott, S. and Kukula, E. (2007), The Challenges Associated with Laboratory-Based Distance Education, EDUCASE Quarterly, pp. 37-42.[2] Saleem, A. I. and Al-Aubidy, K. M. (2008), Mixed Reality Environment for Web-Based Laboratory Interactive Learning, International Journal of Online Engineering, 4(1), pp. 40-45[3] Gomes, L. and Bogosyan, S. (2009). Current Trends in Remote Laboratories, IEEE Transactions on Industrial Electronics, 56(12), pp. 4744-4756.[4] García