Expansion Program (STEP) under Award No. 0757055.Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the authors and do not necessarily reflect the views of the National Science Foundation. Theauthors would also like to thank Todd Johnson, Tina Current, Sharon Kaempfer, and JenniferKlumpp (all at UWM) for their assistance with this project.Bibliography1. National Science Board. 2003. The Science and Engineering Workforce: Realizing America’s Potential.Publication NSB 03-69. (www.nsf.gov/nsb/documents/2003/nsb0369/nsb0369.pdf)2. Augustine, N. “Rising Above the Gathering Storm: Energizing and Employing America for a BrighterEconomic Future”, Committee on Science, Engineering, and Public Policy (COSEPUP
indicate Page 22.1024.6that “design- and project-based learning” and the “Grand Challenges” contextualizationwill be included in their future teaching experiences. They share that starting with“hands-on exploration”, for example “starting with the flashlight activity,” will be pointof access to STEM that they can implement with their students. In teaching strategies,they specified “KWL charts, mindmaps, and Think & Tag” as forms of effectivebrainstorming, reporting, and reflection. Creating an educational environment thatincludes “centers, collaborative learning, laboratories, and modeling” is indicated in thedata to be a key strategy that enhances
(Homework Assignment #3).Students complete six assignments throughout the semester: 1. Integrating pressure and stress to get forces on an airfoil. 2. Forces on a NACA 0012 and a NACA 2412 airfoil. 3. Lift and drag as a function of angle of attack for cambered and uncambered airfoils. 4. The effect of airfoil thickness. Comparison with thin-airfoil theory. 5. The Oswald efficiency factor and three-dimensional lift curve. 6. Skin friction and pressure drag as a function of angle of attack.The assignments require considerable effort in computing, reporting and reflecting on results.Several also require problem solving using thin-airfoil theory, lifting-line theory or boundary-layer results. It is expected that students produce
ProblemsChallenge-Based (CBI) is (or, at least, can be framed as) a variant of PBL: rather thanapproaching course material as a sequence of topics, CBI presents material through aseries of specific challenges or modules. The development of CBI was inspired byadvances in learning science brought forward in the 2000 book “How People Learn”12,and is centered around a learning cycle (typically the STAR.Legacy learning cycledeveloped at Vanderbilt University). After presenting the challenge, students reflect oninitial thoughts, then receive information in the form of perspectives and resources; theythen apply what they have learned and are assessed in some form, and finally, thechallenge is solved either by the student or an expert or some collaboration between
?AcknowledgementsSeveral of the panelists gratefully acknowledge support from the National Science Foundation’sCourse, Curriculum and Laboratory Improvement Program, under the grant NSF 1023099,“Collaborative Research: Integration of Conceptual Learning throughout the Core ChemicalEngineering Curriculum.” Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of theNational Science Foundation. Page 22.1317.9References1. Elby, A. (1999). Another reason that physics students learn by rote. American Journal of Physics 67, S52.2. Bransford, J., Brown, A., and Cocking, R
students to comment onhow the repetitive structure of the ChE lab course has impacted their education and academicdevelopment.Results of the SurveyOf 90 students in ChE 101, 76 responded and 67 of the 78 students in ChE 301 responded. Thepercent of students’ responses from both courses are compared in Table 3. The number ofrespondents per question for ChE 101 and ChE 301 are tabulated in Tables 4 and 5, respectivelyand are presented at the end of the paper.Discussion of ResultsIt is important to note that this survey reflects the student attitudes towards the lab courses and Page 22.1579.5does not provide a direct measurement of the actual
students halfway to being able to do it as well as their professors, justtaking longer (3.5). Lastly, the students were asked to reflect back on their skills at thebeginning of the course and compare them to the end of the course when they completed thesurvey (Q28), the average felt they were somewhat better now (4.2) with graduate studentslanding halfway between ‘no change’ and ‘somewhat better now’ at 3.5 and undergraduatesbeing between ‘much better now’ and ‘somewhat better now’ at 4.5. This ties back into the firstquestion which asked if the students thought the class was a good use of their time, which amajority did. Page
” grant and the “CloudComputing Services in Education” grant from Hewlett Packard. Any opinions, findings, andconclusions expressed in this material are those of the authors and do not necessarily reflect theviews of Hewlett Packard.Bibliography1 MathWorks, Inc. (1994-2010). MATLAB. http://www.mathworks.com/products/matlab/2 Prabhu, G. S., & Shankar, P. M. (2002). Simulation of flat fading using MATLAB for classroom instruction. IEEE Transactions on Education, Vol. 45, No. 1, 19-25.3 Shiakolas, P. S., Chandra, V., Kebrle, J. , & Wilhite, D. (2002). Engineering design, analysis, and simulation for education using MATLAB via the World Wide Web. II. Representative examples - System simulation and planar mechanism
teachers: students of senior physics are by no means guaranteed a teacher whomajored in physics. Such students are most likely disadvantaged in terms of both subjectskills and inclination to further study. The American Society for Engineering Education,reflecting the nation‟s anxiety over the situation in the U.S., in 2003 established a K-12 &Pre-College Engineering Division (website available at http://k12division.asee.org/).Many universities are now funding outreach programs to increase the number of engineeringundergraduates 4-15. Ideally, such outreach programs should have two positive outcomes:participating students should be both better prepared for and better informed aboutengineering careers. The University of Auckland‟s (UoA‟s
http://engr.georgefox.edu/Chirps.Acknowledgements This material is based upon work supported by the National Science Foundation under GrantNo. 0720526. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. Page 22.1432.12References1 G. Spivey, B. Harder, , “Starting a Multidisciplinary Senior Capstone Design Course”, 2007 Capstone Design Conference, June 2007, Boulder, CO.2 D. Heer , R. Traylor, T. Thompson., and T. Fiez,, “Enhancing the Freshman and Sophomore ECE Student Experience using a
based on medical imaging (CT) scans. 2. Replace natural soft tissue joints with mechanical joints in order to articulate the bones of the model. 3. Design the joints to reflect actual joint motion seen in bullfrog feeding behavior. List of Specifications. After our student translated the needs described by our Page 22.1536.3biologist into problem definition objectives, the next step was to prepare a list ofspecifications. The specifications included both required and desired designcharacteristics and were categorized as follows: 1. Performance (definition of the eleven major flexible joints in the skeleton and
Page 22.1510.7effectiveness of such activities with undergraduate engineering students. While these results are very encouraging, there is a need for significant future analysis. We are inthe process of examining two additional features of student learning gains, long-term retention andtransfer. In future work, we will examine how effectively the activities promote conceptual learninggains immediately after their completion compared to student performance on the concept questionsseveral weeks after the activity. In addition, 25% of the concept inventory questions reflect the situationsfound directly in the inquiry-based activities. Because of that parallel construction, it would be importantto examine and contrast student performance
students were given a survey composed of sixteen questions to evaluate the success of thecourse. The survey is given to the students the last week of the semester during class. Theprofessor is required to leave the classroom while the students fill out the survey. Since some ofthe questions are reflective in nature, in the following years the authors will seriously considermodifying the survey methodology to include two surveys: one at the beginning of the class andone later. One of the major difficulties with this approach is to quantify and measure items like“knowledge of the area of electrical engineering” at the beginning of the course. The first sixquestions of the survey are committed to obtaining information about the amount of knowledge
compare the results from themeasurements with those obtained from the steps performed in the Analysis and Modeling.The students are required to submit a lab report, which is graded and returned to providefeedback to the students.Concepts to Experiments Page 22.1669.5The concepts integrated into the first four experiments are: far-field angle, numerical aperture,collection efficiency, Malus’ Law, Beer-Lambert Law, and total internal reflection. Theexperiments that cover these concepts are: Propagation in Free Space and DetectorResponsivity; Coupling Efficiency; Polarization and Vector Dot Product; and Total InternalReflection and Absorption
. Follow-on exams andinterviews will determine whether these updates were successful.AcknowledgementsThis material is based upon work supported by the National Science FoundationResearch and Evaluation on Education in Science and Engineering (REESE)Program under grant DRL–0816207. Opinions, findings, conclusions, orrecommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the NSF. Studies involving human subjects wereconducted with KSU Human Studies Board oversight under protocol #4691.References[1] Warren, Steve, "Optimizing Student Learning and Retention of Time- and Frequency-Domain Concepts Through Numerical Computation Projects," 2005 Annual Conference and Exposition
lowest scores with highest variability. This is typical of team-based projects where some teams when members are chosen by association tend to be dysfunctional. This leads to a bad project experience that is reflected in their responses to these questions. Mean Standard Deviation 2010 2008 Both 2010 2008 Both 1 Become more skilled at using a 3D parametric CAD system. 4.526 4.529 4.528 0.612 0.514 0.560 2 Use techniques for 3D parametric CAD
consistency and the level of detail in custom blocks and the overall final assembly. Include Independently Graded Individual Activities in the Project: Team projects are often carried by one or two individuals who do the majority of the work. While this may be a true reflection of what happens in the real world, it is important that students are taught the importance of full participation and contribution to a project’s success. To achieve this goal several deliverables of the team project will require individual effort that will be graded for each student. These are: o Concept Generation and Sketching: Each student will be required to generate three concepts of his or her own based on the theme agreed upon by the group
reflective of the UTPA student demographics. Thirteen of the 15 studentsidentified themselves as Hispanic and two students identified themselves in the Other category.One of the students who selected the other category specified Latino. Thus 14 out of 15 or 93%of the students were Hispanic. Male students comprised 60% of the course. Two-thirds of thestudents reported a family income of $60,000 or less. An interesting statistic is that only 6.7% ofthe students responding had English as a first language.Table 2 contains the evaluation of student performance for the first DOE laboratory. Studentperformance was classified as either exceptional, effective, acceptable or unsatisfactory. Theselevels of performance correspond to approximately A-level, B
are inherited from Computer Engineering Technologyrather than Computer Science. However, it is interesting and necessary to reflect upon theSoftware Engineering 2004 Curriculum Guidelines6 put forth by the Joint Task Force onComputing Curricula of the IEEE Computer Society and the ACM (Association for ComputingMachinery) simply because “software engineering” is the focus of the curriculum. It isinteresting to note that the IEEE/ACM Software Engineering Curriculum Guidelines do notconsider calculus as “core” as it does discrete mathematics and statistics. The guidelines statethat calculus is “not essential for a software engineering program.” The implication is thatgraduates in software engineering will work with domain experts in the
methods of instruction used. The pre and post training data collected will be reviewed by theproject staff to determine the extent that the faculty member has changed what they are doing inthe classroom as a result of the Access For All training received. Page 22.1657.10Conclusions, Reflection, and the FutureThis enrichment project will increase participation and success of students with disabilities atEastern Washington University (EWU) in the fields of Science, Technology, Engineering andMathematics (STEM) by focusing on recruiting high school and community college studentswith disabilities to enroll in STEM at EWU and at other institutions of
majority of thestudents (97%) identify themselves as a hands-on learner, which is typical forengineering technology students. This is also reflected in the response to Q6. The dataindicate that students are interested in having concepts reinforced by experimentation.Majority of the students in Non-metallic Materials course believe that lab exercise cancontribute to their learning of the class material, while many students in the Strength of Page 22.1686.10Materials course did not feel their learning experience is enhanced by lab activities (Q7)As the two courses surveyed are different in nature (knowledge vs skill), the studentresponse can be used to
. Page 22.1072.9The first statement was intended to test whether the students felt that the MEA was a less valu-able assignment than a more traditional assignment without the simulated client. 52% of therespondents disagreed or strongly disagreed with the first statement and 20% agreed; because thestatement is written so as to reflect negatively on the MEA, this response suggests a preferenceby the students for the MEA rather than a more traditional cookbook approach. 65% of therespondents agreed or strongly agreed with the second statement, while 23% disagreed, nonestrongly. Taken together, the results of the two survey questions indicate that most studentsrecognized the need for the use of good communication skills in the MEA assignment
development of each cohort and a chance for students to reflect on their collegeexperience with each other.The Engineering Bridge Survey To gauge the importance of the different activities during the Engineering section of theSB program, students that attended this section in 2008, 2009, and 2010 were given a survey toshow which activities during the Bridge program were the most important to them. The fullsurvey is included in Appendix B. Students were asked to rate the importance of 22 differentactivities. In each case the students were asked these questions at least several months after theprogram itself, once they had some distance and perspective. The 2008 students were asked tocomplete the survey during the fall semester of 2009. The 2009
-used:“I wouldn't do peer marking any more often, as you'd start to affect attendance as peoplebecome complacent with peer marking. There also has to be time for the students to getfeedback and help with their other work.”Lecturer feedbackIn their Course Audit (a compulsory post-course teaching-team reflection document) thecourse lecturers observed that tutorial attendance in 2009 and 2010 hit an all-time high, upfrom the all-time low experienced in 2008. They speculated that this was most likely a directresult of the peer-marking exercises, or at least the associated 1% course credit! The lecturers Page 22.1146.9(both of whom consider tutorial
students= 2%; p = 0.00006), “Identifying Constraints” (practicing engineers = 68%; engineeringstudents = 20%; p = 0.00017), and “Goal Setting” (practicing engineers = 11%; engineeringstudents = 43%; p=0.0017) were statistically significant.It could be that the nature of the students’ work is still different from practicing engineers’experiences in industry. Practicing engineers may use sketching as an everyday communicationtool more than the students do. This could also be a reflection of age differences as well, withpracticing engineers more likely to have had more emphasis in hand sketching in theirundergraduate curricula in contrast to curricula today. Also, the engineering students in the classwere challenged to find their problems in addition
sequential circuit design and thenuse Verilog to describe them rather than directly coding from the problem specifications.However they are introduced to the RTL coding style of finite state machines which follows theswitch-case statements in C language. For Section D, the sequential circuit blocks such ascounters, shift registers, and linear feedback shift register (LFSR) modules are taught alongwith Verilog RTL coding styles.Part III: class projects and laboratory experimentsLab assignments typically reflect on the material covered in the lecture class. Students useModelSim[9] for simulation and validation of their design work. They develop testbenches forverification of their designs. As the table 1 shows, lab assignment 7 introduces
with additional factors. Future longitudinal studies are necessary toultimately answer the question as to whether or not explicit CTC messaging at a young age ismaking the desired impact of increasing diversity in college engineering enrollment.AcknowledgementsThe authors gratefully acknowledge the support of the National Science Foundation for Track 2GK-12 grant no. 0338326 and Track 3 GK-12 grant no. 1133773. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the National Science Foundation. We also acknowledgeadditional support provided by the University of Colorado Undergraduate ResearchOpportunities Program. Alexander Archuleta and Linda
problems and get them prepared for the design ofnew network components or system. Since our work is still on the early stage, the paper onlypresents very preliminary assessment results at this point. In the future, more comprehensiveassessment data will be collected and analyzed, and the findings will be used to further improvethe course redesign.AcknowledgmentThis material is based upon work supported by the National Science Foundation under Grant No.0941839. Any opinions, findings and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation (NSF).References[1] The network simulator NS-2, http://www.isi.edu/nsnam/ns/[2] Opnet Network Simulator
the Arena® simulation environment, reflects both thesemodels of operations to provide a means of comparison for futurechanges and improvements. The difference between the two models liesin the use of the ticket counter scheduling. The number of ticket countersin the current system model is fixed at two ticket counters per air carrier.Each ticket counter has two physical positions and is able to serve twocustomers at any one time.The per-use model was found to scale very well during the simulationexperiments. The ability to reassign a ticket counter to a different aircarrier in order to meet the passenger input demands greatly reduces high Fig. 2. DTCIS
3 11.5% 5 19.2% Other (Non-engineering) 2 7.7% 5 19.2% Undecided (Non-engineering) 2 7.7% 2 7.7% Total 26 26The failure of the SEI program to achieve its primary goal of recruiting students into engineeringis also reflected in Table 3. Although student enthusiasm for the program increasedsignificantly, there was a statistically significant decrease in student confidence that the Institutewill help them select an appropriate engineering major. The slight increase in student level ofconfidence that they have the necessary skills and preparation