23.691.106.2 Upper Elective Course within the TrackThe assessment data in Table III reflects the impact on the junior/senior students within the ECE,ME, BME, Physics, and Chemistry. Scores of 5 indicate that students “strongly agree,” while ascore of 1 indicates that they “strongly disagree”. The scores shown in the table are highercompare to the scores of courses on the same level and disciplines at IUPUI. The data collectedreflects the students’ satisfaction of the course and shows how well it meets their expectations.TABLE III: Junior/Senior Engineering/Science Student Feedback. The scores shown in the tableare higher compare to the scores of courses on the same level and disciplines at IUPUI. Survey Questions
faculty and other students and that they received more feedback Page 23.692.12from faculty and peers and/or had more opportunity to reflect on and evaluate their own work.All of this occurred in a class that has grown from roughly 90 students to nearly 120 students.While the results presented here are preliminary – they show promising leads that will beexplored in more detail as the full evaluation plan is executed.References[1] J. Bersin, The blended learning book: best practices, proven methodologies, and lessons learned. San Francisco, CA: John Wiley & Sons, Inc., 2004.[2] F. Alonso, G. Lopez, D. Manrique, and J. M. Vines, "An
importance of issues in the case ranging from potential impacts on career Page 23.723.7path to popularity with coworkers. The ESIT was first deployed near the beginning of thesemester, prior to beginning any instruction on ethical issues, and again at the conclusion of thecourse. Additional ESIT data was collected from a group of IE freshman and seniors at theuniversity to understand any potential differences in these populations compared to the studygroup.Qualitative data was collected primarily through instructor reflection on the quality of the studentdiscussion regarding ethical issues. The most striking example of this data involves the use of
. Evaluationfeedback was provided to each presenter to improve on clarity of presentation content, delivery,slides, and graphics. In addition, each student was recorded during his or her presentation to self-evaluate their presentation skills. Reflecting on her presentation style, the student became awareof her weaknesses in delivery and made immediate improvements in subsequent programmeetings based on the feedback from the scholarly community.Description of the technical aspects of the projectSpecimen preparationSheets of equiatomic NiTi were pre-cut and electro-discharge machined (EDM) along the rolleddirection with area remaining to allow for clamping in the EDM fixture. The sheets were 25%cold worked with as-received thicknesses of 0.50 and 0.25 mm
highlights the importance of identifying asmall, simple introductory exercise with which to initiate student use of new software, and mayalso reflect the value of a live in-class demonstration where students first see the unfamiliaractivity demonstrated, then they complete it themselves, and then they observe a classmatecompleting the steps a second time. Although the WaterGEMS software does have sophisticatedand complex functionality, students can develop a primary viewpoint that it is easy to usethrough a targeted introductory exercise.86% of students responded that the software homework assignment that followed the in-classdemonstration was “very useful” or “somewhat useful” as a learning activity that supported theirunderstanding of the
reflect the views of the NationalScience Foundation.References 1. Bureau of Labor Statistics, US Department of Labor. (2006). Occupational Outlook Handbook, 2010-11 Edition, Bulletin 2800. Washington DC: U.S. Government Printing Office. 2. National Science Foundation. (2006). Science and Engineering Degrees: 1966–2004. Arlington, VA: Division of Science Resources Statistics. 3. National Science Board (2010) Science and Engineering Indicators 2010. Arlington, VA: National Science Foundation. 4. Stevens, R. Bransford, J. and Stevens, A. (2005). "The LIFE Center's Lifelong and Lifewide Diagram". Accessed from: http://life-slc.org). 5. Bell, Philip, Lewenstein, A.W., Shouse, A.W. & Feder, M.A. (Eds
reflect industry needs. Management skills required of a BIM manager withinthe industry that can be developed within higher education include teamwork, communication,and analytical thinking. Technical skills include “understanding BIM tools, standards,workflows, BIM-enabled coordination practices and project management, development ofconstruction drawings, making estimates and schedules with BIM applications, and a knowledgeof parametric object-based design concepts.”20 Both management and technical related skillsshould be integrated into BIM curriculum. According to the AIA, “the level of expertise requiredto intelligently design with BIM is significant, and serious consideration must be given to how itcan be taught… The competent BIM operator
. Also, research isongoing to develop procedures for the LEWAS data access and visualization on mobile devicesand in platform independent Web browsers for water sustainability education. Page 23.783.11AcknowledgementThis work has been supported by NSF/TUES type I grant (award# 1140467). Any opinions,finding, and conclusion or recommendations expressed in this paper are those of the author (s)and do not necessarily reflect the views of the National Science Foundation.Bibliography1. Delgoshaei, P., and Lohani, V. K., 2012. “Implementation of a Real-Time Water Quality Monitoring Lab with Applications in Sustainability Education,” Proc. 2012
capacitance and specific heat values of various materials; categorize heat movement through reflection, absorption, radiation, and magnification. 3. Categorize the collection control, dissipation, storage and distribution of heat energy. 4. Maintain and repair mechanical equipment. E. ELMT 1302. Solar PV System. Course outcomes: 1. Design solar PV array. 2. Define industry terms. 3. Investigate certification requirements. 4. Install troubleshoot systems.IV. Plumbing Certificate – Solar Thermal Technology Specialization A. SOLR 2371. Solar Piping and Materials. Course outcomes: 1. Identify solar piping and materials; interpret specifications
available given that the concepts covered by the experiment had not beentaught in prior versions of the courses. The focus of the pilot project was to determine how tomost effectively run a remote lab such as this and to gain insight into student learning based onstudent self-reports regarding their learning and their reflections on the assignments andtechnology. The survey also covered students’ prior experience with experimentation (online andin person), their opinions regarding the experiment and associated assignments, the quality and‘user friendliness’ of the online experiment, and their opinions regarding the impact of theexperiment on their learning. All opinion questions were designed using a five point Likert scalefrom ‘Strongly Disagree
, andconclusions or recommendations expressed in this material are those of the author(s) and donot necessarily reflect the views of the National Science Foundation. Special thanks to theinstructors at the four South Carolina Technical Colleges that participated in the researchproject.References1. Perdomo, L., Shiratuddin, F., Thabet, W., and Ananth, A., "Interactive 3D Visualization As a Tool For Construction Education", proceeding of the 6th International Conference on Information Technology Based Higher Education and Training, PF4B/23-8, Santo Domingo, DR, July 2005.2. Lee, S., Yoo, S., Kim, Y., Jung, H., Kim, S., Yun, M., Lee, J., and Kim, H., “Modeling and Localization of Web-based Fusion Image using VRML in Clinical Stroke Case
written in a serial chain format, where the output of one stage is used asthe input of another. The intermediate data is called “derived data”, and this approach iscommon when the derived data is important in its own right, when there are several possibledifferent analyses that must be applied to the derived data, or when it is useful to access it fordebugging and verification purposes. In these circumstances, it is tempting to save the deriveddata for later processing by other programs. This is dangerous since changes to the original datafile will not be reflected in the saved derived data, complicating re-versioning of both theoriginal data and the program used to create the derived data. Instead, it is preferable to call thefirst processing
) embedded assessment strategies; and e) scaffolds. These features provide anengaging laboratory experience, work with students’ pre-existing knowledge, and develop skillsof self-monitoring and reflection, which contribute toward improving the quality of STEMeducation. The project experimentation part of the facility has two major components: a) aremote laboratory and b) pedagogical design.3.1 Remote LaboratoryThis implementation proceeds through a number of inter-linked tasks covering a range ofdisciplines, which include computer interfacing, web design, interactive graphical user interface,computer networking, network/web security, experiment module designs, assessment strategy,and project evaluation.The developed facility can be presented by a
% (751/4,712) of engineering degreesand 21% (193/927) of computer science/information science degrees in 2009-10 (the most recentdata year available)8. Approximately 23% of the population in the state in 2011 wasHispanic/Latino9 which is also reflected in the enrollment numbers of this demographic at theuniversity and within the college. In CECS, the undergraduate Hispanic and African Americanstudents represent 22% and 7% respectively of the total undergraduate enrollment in the college(double the national rate of 10% for Hispanics, and higher than the national rate of 5% forAfrican Americans)4. CECS ranks 20th in the number of undergraduate engineering andcomputer science degrees awarded, 8th to Hispanics, 16th to African Americans, and 35th
for the students in this course as evident from the animationproject described in Part III. The major difficulty students seemed to have had was switchingbetween the syntax of C and MATLAB, particularly in the area of arrays and for loops. The lastitem in Table 1 is the usage of the features in the respective software development environmentsDevC/C++ and MATLAB. Rather than making it a single topic, it was taught hands onthroughout the semester as the need and opportunity arose.part III: course projectsHomework typically reflects on the material covered in the lecture class. For any portion ofassignments that involve coding, students use DevC/C++ and MATLAB on Microsoft Windowsbased desktop computers in general computer labs. They develop the
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
.29. A. Prades, S. Espinar, “Laboratory Assessment in Chemistry: An Analysis of the Adequacy of the Assessment Process,” Assessment & Evaluation In Higher Education [serial online]. vol. 35, no. 4, pp. 449-461, July 2010.30. J. Robertson et al, “Exploiting a Disruptive Technology to Actively Engage Students in the Learning Process,” 2013 ASEE Conference.31. J. Rodd, D. Newman, G. Clure, M. Morris. “Moving the Lab to the Classroom: The Impact of an Innovative Technological Teaching Tool on K-14 Learning and Cognition,” SITE Conference, San Diego, CA, March 2010, 2807-2813.32. D. Schon (1995), The Reflective Practitioner: How Professionals Think in Action, Ashgate Publishing.33. J. Selingo, “Connecting the Dots,” ASEE
an “optical sensing” division as an alternative to the then emerging camera-basedsensing division. In consideration of overall course objectives and time constraints, we haveelected to employ this simpler method for line sensing for the course project. Our project usesthe Pololu QTR-8 Reflectance Sensor Array featuring eight IR emitter/detector pairs as shown inFig. 4. Figure 4: QTR-8 Sensor Array mounted to car Page 23.320.10For processor solution, we use the Wytec Firebird32-Nano microcontroller module(www.firebird32.com) which is a Freescale Coldfire V1 microcontroller adapted to a 40-pin DIPform factor. This MCU
, 1997, pp. 283–299.15. Sfard, A., “On the dual nature of mathematical conceptions : Reflections on processes and objects as different sides of the same coin,” Educational Studies in Mathematics, 22, no. 1, 1991, pp. 1–36.16. Vinner, S., “Concept definition, concept image and the notion of function,” International Journal of Mathematical Education in Science and Technology, 14, 1983, pp. 293 – 305.17. Bingolbali, E., Monaghan, J., & Roper, T., “Engineering students’ conceptions of the derivative and some implications for their mathematical education,” International Journal of Mathematical Education in Science and Technology, 38, no. 6, 2007, pp. 763–777.18. Tall, D. & Vinner, S., “Concept image and
emphasize different (although related)conditions that support or thwart motivation. But, in general, supportive conditions include aperson’s feelings of autonomy, relatedness, and competence, accompanied by a sense of interestand value.Student motivation to learn new information is also tied to student engagement in the learningprocess. Similar to motivation, the term engagement has been defined in several different ways.According to Barkley, students who are engaged in the learning process “really care about whatthey’re learning; they want to learn” and they “exceed expectations and go beyond what isrequired.” These statements reflect a view of engagement that is rooted in motivation theory.Barkley also describes student engagement with statements
their design that can be held by that certain mill-vise. Linking the project to the realequipment and machinery available in our labs helps to create a more realistic setting for theassignment.3. Scoring Rubrics and Evaluation of AssignmentsFeedback through evaluation is an important educational component of this course. Whiledeveloping the grading rubric (Appendix 2), the main concern was to reflect industry’sperspective. For this reason, a long list of items are identified and weighed according to theirimportance. During the semester, it is always explained that design deliverables such asdrawings, manufacturing specifications and models are generated for manufacturing and they’reonly good as long as they convey the design intent fully and
director and student develop together during their first individual meeting.vii. Weekly research journals - TTE REU students complete weekly research journals. Each week, the students are given a question to answer in their journal entry. This semi- structured format provides meager guidance, but also provides students the flexibility to reflect on their overall research experience. These journals are reviewed by the respective E3S, COINS, or SynBERC Educational Director and used to monitor the student’s research progress and provide support outside of the research environment. In addition, these student thoughts are kept confidential among the program staff so that students have a safe
work supported by the National Science Foundation under GrantNo. DUE-1043833. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation. Page 23.428.10 REFERENCES1. Meltzer, D., AC 2008-1505: Investigating and addressing learning difficulties in thermodynamics, 2008 ASEE Annual Conference, 11 pp.2. Meltzer, D.E. (2004). Investigation of students’ reasoning regarding heat, work, and the first law of thermodynamics in an introductory calculus-based general physics
. Though no calculations were performed in Page 23.433.7this demonstration, students were asked to reflect on their hypothesis from the previousexperiment on creep and consider the design implications with different materials that undergotemperature fluctuations.Lab 6: Stress ConcentrationIn Lab 6 students explored the effects of shape on the concentration of stresses. This lab waslargely a demonstration and observation experiment. Students were given two templates andasked to use those templates to cut out standard shapes (dog-bone and square-edge) of aluminumfoil. Using the same hanging setup as the copper wire tension experiment, students
”). Clearly, all knowledge outcomes received much higher scoresin post survey and in general we can observe a greater growth in year 2012, which reflected theeffect of improved implementation of CPBL in the 2nd project year. Analysis of two year dataconsistently proved that most of the biggest growths occurred in the learning outcomes directlyrelated by the class projects. For example, in CS470 offered in Winter 2012, the biggestincrements of the rating occur on the following outcomes, and all of them are directly addressedby in-class or after-class projects. • Knowledge of ARQ (Pre=1.58, Post=4.44, growth=2.86) • Knowledge of TCP flow control and congestion control (Pre=1.35, Post=4.11, growth=2.76) • Knowledge of network
, INSET’s success lies in recognizing the importance of involving CCfaculty in all aspects of program planning and execution. In particular, CC faculty’s input hasbeen key to the design of appropriate student activities, which are non-threatening, motivating,and which address the particular needs of CC students, while providing an environment thatoffers them greater opportunity to prosper and succeed. CC faculty also play a particularlycrucial role in identifying and recruiting high-potential candidates, especially those whose gradesmay not reflect their abilities and initiative. It is thanks to their encouragement and support thatthese students, who often lack both self-confidence and role models, are led to view INSET asnot only valuable but also