toaddress these concerns and some other initiatives that can bring additional benefits at low costare also described. For each of these aspects, successful strategies or best practices are included.Finally, the effectiveness of the program is demonstrated with the results of the programevaluation.1. IntroductionOver the last several years, the United States has witnessed alarming statistics and trends ingraduate and undergraduate enrollment, graduation rates, and participation of minority groups inScience and Engineering (S&E) fields, and in Computer Science in particular. For example,according to the National Science Foundation’s Science and Engineering indicators 2006,underrepresented minorities did not enroll in or completed college at the
project are considered independent. In reporting scores the namingconventions from the previous section are used to identify different elements of the peerevaluation instrument. Mean scores given to students are reported in italics, for exampleOverall. Scores given by students are identified by the subscript G and scores received by thesubscript R, for example OverallR corresponds to the mean score received on the overallevaluation section of the evaluation. The range of scores given or received was determined bythe standard deviations and are reported as s(OverallG), i.e. the standard deviation of the overallscores given by the students in the sample.There were few significant correlations between scores students gave or received for
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. FGO switch Register 7-Seg. a~g (AR, PC, DR, AC, INPR, IR, TR, OUTR) Run Step by instruction switch Step by clock FPGA Flip-flops(LEDs) clock I, S, E, R, IEN, FGI, FGO 0~F 0 1 2 3 4 5 6 7
AC 2008-1458: USER ADAPTIVE INTERACTIVE COURSES IN SCORMCOMPLIANT LEARNING MANAGEMENT SYSTEMSSabina Jeschke, University of Stuttgart After receiving her M.Sc. in Physics at the Berlin University of Technology in 1997, graduating with distinction, Sabina Jeschke worked as an assistant teacher at the department for mathematics and natural sciences and earned her doctorate in 2004. Holding a scholarship from the German National Academic Foundation, she spent several months of research at the NASA in Moffet Field, CA. In 2000 and 2001, S. Jeschke worked as an instructor at the GaTech (Georgia Institute of Technology, Atlanta). Since 2005, Sabina Jeschke has been associate professor for "New
down.There are a couple of reasons for doing things this way. It is assumed that a grader can do amore impartial job if (s)he does not know the student whose work is being graded. Second,many exams are common across an entire university, which may consist of many colleges. Soanyone who is involved with the same course is assumed to be competent to grade any student inthe course.The third difference is that some countries seem almost immune to grade inflation. TheEgyptian observed, “Tough questions are given and many system exist for grading, but in mostcourses the mean of the students grade will be in (C or D) grade.”But by far the most common observation was that final exams overseas count much more thanthey do in America. In China, the final
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● ● Tour and social event(s) ● ● * Unfilled circles indicate activities that were not required at all locations.Evaluation of the REU program was performed using a web-based survey. Additionalinformation was collected from focus groups consisting of the REU participants from oneUniversity. These focus groups were held at the end of the REU program. The evaluatorreported that she had a difficult time extracting information the REU participants from Year 1,but that after the formal professional development program was introduced, the students hadplenty to say.Laboratory SafetyLaboratory safety training has always been a formal 1 to 2 hour session presented byrepresentatives from each
AC 2008-2395: SIMULATING CONSULTING ENGINEER RELATIONSHIPS IN ASENIOR DESIGN COURSE AND ASSESSING THE RESULTSMichael Bronzini, George Mason University Michael S. Bronzini currently holds the Dewberry Chair in Civil, Environmental, and Infrastructure Engineering (CEIE) in the Volgenau School of Information Technology and Engineering at George Mason University in Fairfax, Virginia, and is also the Chair of the CEIE Department. Prior positions include Director of the Center for Transportation Analysis at Oak Ridge National Laboratory, Chair of the Department of Civil Engineering at Penn State University, and Director of the Transportation Center and Professor of Civil Engineering at the
invest energy and time in mastering itsconcepts, but also provide opportunities to involve students in the development process topromote greater engagement and learning.Bibliography1. Fuentes, A. A., and Crown, S., “Improving Conceptual Learning in Mechanics of Materials by Using Web-BaseGames and the Involvement of Students in the Game Design Process”, 2007 ASEE Annual Conference &Exposition, Honolulu, Hawaii, June 24-27, 2007.2. Crown, S., and Fuentes, A. A., “Web-Based Forums for Student Learning Through Teaching”, 2007 ASEEAnnual Conference & Exposition, Honolulu, Hawaii, June 24-27, 2007.3. Crown, S., and Fuentes, A. A., “Student Learning Through Teaching”, 2007 ASEE-GSW Annual Conference
effectively educate teachers inengineering so as to create a more engineering literate society. INSPIRE ran two academies fora week each in summer 2007. Teachers of 3rd and 4th grades (N=60) from local schools attendedthe local academy and from around the country for a national academy.We developed a Photo Prompting survey an administered it through a on online webform.Participants were shown an image and asked to answer three sections of questions related to,categorizing the types of engineering in the image, noticing engineering, and explaining aspecific type of engineer perspective (indicated under the picture in Table 1). The specificquestions were:Categorize:Question 1: What types(s) of engineering is (are) most closely related to this image
some of our real-time DSP- based community outreach efforts, and more traditional engineering courses, that have been facilitated by tools such as winDSK6 and the DTMF decoder/power switch box.1 INTRODUCTIONDigital signal processing (DSP) is a topic that is covered in some way in nearly every undergraduateECE program. While there are many fine texts available,1–4 many educators and authors haverecognized the need for more interactive learning and the use of demonstrations for this importantsubject.5–8 Since the late 1990’s, the authors have been suggesting and providing proven DSPteaching methodologies, hardware and software solutions, and DSP tools that have helped motivatestudents and faculty to implement real-time DSP-based
priorities: Since the learning outcomes are shared with theprogram, the focus in this phase should be on establishing priorities for closing the relevantaspects or dimensions of the multi-dimensional gap. These efforts should be guided on thedeveloped vision for the course and program, using the following methodology: 1. Prioritize professional roles emphasized by course type. 2. Select most relevant type(s) of learning outcome for each role. 3. Define role-driven learning outcomes using behavioral prompts from the profile.The first step in crafting learning outcomes involves identifying roles emphasized in a particularexperience. These depend on course type and context. The second step is identifying the type ofoutcome most closely aligned
ability tasks that involve complicated, multi-stepmanipulations of spatially presented information. These tasks may involve the processes required for spatial perceptionand mental rotations but are distinguished by the possibility of multiple solution strategies. Spatial visualization tasksinclude EFT (Embedded Figure Test), Hidden Figures, Paper Folding, Paper Form Board, Surface Development,Differential Aptitude Test, Block Design, and Guilford-Zimmerman spatial visualization (Linn & Petersen, 1985).FIGURE 1THE FLAGS TEST: Spatial Relations test; the subject must indicate whether the two flags are the same: (S) if one can be slid around so that it is identicalto the other or (D) for different flagsVARIOUS TESTING INSTRUMENTS USED FOR
, Bi-Huang Hu, Bruce P. Lee et al., "Mussel adhesive protein mimic polymers for the preparation of nonfouling surfaces," Journal of the American Chemical Society 125, 4253-4258 (2003).4 S Vogel, Cats' Paws and Catapults. (W.W. Norton & Company, New York, 1998).5 Steve Weiner, Lia Addadi, and H. Daniel Wagner, "Materials design in biology," Materials Science and Engineering C 11, 1-8 (2000).6 J Benyus, Biomimicry: innovation inspired by nature. (HarperCollins, New York, 1997).7 S Vattam, M Helms, and A Goel, Technical Report, 2007.8 Jon A Leydens, Barbara M Moskal, and Michael J Pavelich, "Qualitative methods used in the assessment of engineering education," Journal of Engineering Education 93
decision-making processes on students’ success and retention in their fields.Bibliography1. Bodner, G. M, Follman, D. K, & Hutchinson, M. A. (2005). Shaping the Self-Efficacy Beliefs of First-Year Page 13.351.11 Engineering Students: What is the Role We Play? Proceedings of the American Society for Engineering Education Annual Conference. Portland, OR.2. Lent R.W., Brown, S.D., & Hackett, G. (1994). Toward a Unifying Social Cognitive Theory of Career and Academic Interest, Choice and Performance. Journal of Vocational Behavior, 45, 79-122.3. Lent, R. W; Brown, S. D., Sheu, H., Schmidt, J., Brenner, B. R
of the program in increasing female student enrollment at NDSU. Articles and programsthat appeared in local print and broadcast media communicate effectively to the broadercommunity the importance of engineering and technology and the need to encourage more girlsto pursue related fields. Indirectly, the program helped increase the visibility of the NDSUEngineering College as well as enhance the image of engineering in the area.References 1. Hanson, S. L. (1996). Lost Talent: Women in the Sciences. Philadelphia, PA:Temple University Press. 2. Widnall, S. (2000) Digits of pi: barriers and enablers for women in engineering, The Bridge, National Academy of Engineering 30 (3 & 4) 3. Adelman, C. (1999). Answers in the
ICD2 AND previous laboratory exercise. Students are MPLAB ICD2 In- PICDEM 2 PLUS — asked to modify the program(s) so that they can Circuit Debugger Scrolling LCD write the words they wish to scroll on the LCD. and Demo Board4. INTRODUCTION TO This laboratory exercise allows students to • DV164006 2-weeks THE PICDEM NET2 develop Internet connectivity applications over MPLAB ICD2 In- DEVELOPMENT an Ethernet connection using embedded Circuit Debugger ENVIRONMENT_1 Microchip controllers over Ethernet and the and Demo Board Internet. Students will get familiar with the • DM163024
Education, Vol. 94, No. 1, 2005, pp 103 – 120.2. “HMC Department of Engineering”, http://www.eng.hmc.edu/EngWebsite/index.php, accessed on Jan. 13, 2008.3. Okudan, G., Ogot, M., Zappe, S., and Gupta, S., “Assessment of Learning and its Retention in the Engineering Design Classroom Part A: Instrument Development,” (CD) Proceedings, ASEE Conference and Exhibition, 2007.4. Okudan, G. Ogot, M. and Gupta, S., :Assessment of Learning & Its Retention in the Engineering Design Classroom Part B: Instrument Application,” Proceedings, ASME International Design Engineering Technical Conference IDETC, 2007.5. Torrance, E. P., Bau, E. O., & Safter, H. T. (1992). Torrance Tests of Creative Thinking: Streamlined scoring
AC 2008-72: THE COGNITIVE AND AFFECTIVE DOMAIN IN ASSESSING THELIFE-LONG LEARNING OBJECTIVEJoseph Hanus, United States Military AcademyScott Hamilton, United States Military AcademyJeffrey S. Russell, University of Wisconsin - Madison Page 13.1209.1© American Society for Engineering Education, 2008 The Cognitive and Affective Domain in Assessing the Life-Long Learning ObjectiveAbstractThe success of the engineering profession requires students to be educated in the technicalpractices and inspired to develop the traits of life-long learning. The authors’ objective is todemonstrate the use of the cognitive and affective domains in
, causality binds together reasoning processes that are commonto all STEM disciplines, including making predictions, drawing implications, making inferences,and articulating explanations.PredictionsReasoning from a description of a condition or set of conditions or states of an event to thepossible effect(s) that may result from those states is called prediction. Prediction assumes amore or less probabilistic relationship between causal antecedent(s) and effect(s) because apotentially large number of causal relationships can participate in the occurrence of the effect.The two primary functions of prediction are forecasting an event (e.g., economic ormeteorological forecasting) and testing of hypotheses to confirm or refute scientific
number of international studentsstudying and remaining to work in the United States engineering workforce after graduation 4.African American, Hispanic and other racial/ethnic minorities make up 6% of the S&Eworkforce, and women make up 25%. These percentages contrast sharply with thedemographics of these groups in the current overall population and workforce; by 2020 over Page 13.778.240% of college-aged students will be racially/ethnically diverse3.Currently, the U.S. engineering workforce remains 90% white and male; engineering, inparticular, has not attracted women and URMs. Baccalaureate degrees received by both URMsand women in
. Employment growth willbe driven by increasing demand for healthcare and social assistance because of an agingpopulation and longer life expectancies. Employment in administrative support and wastemanagement and remediation services is projected to grow by 31 percent and add 2.5million new jobs to the economy by 2014. Service industries have accounted for almostall U.S. job growth since the 1960’s. Wages in the service sector overall have risen fasterthan wages in most other sectors.The Bureau of Labor Statistics has the most complete information concerning IE and IETemployment. Analysis of their data is somewhat limited due to the lack of informationabout job titles or degree types. Another gap in the data concerns the other job titles thatIEs and
, they were socialized in the elitism of engineering.Participants experienced a shift in their student experiences and their relationships withprofessors because of their perseverance. Upper class students felt recognized by their professors,and the participants agreed that the professors perceived them as capable, good students, andresponsible. This change in perception gave confidence to students, as they explained: …as I entered directly to the major [upper class], that is to move from the Annex to the Principal [building], it was different, the professors recognized that we [women] were good students --it was a change in mentality (Georgina). It was great, great! Also now with my project with Dr. G, Dr. S., and Dr
students’ questions 4.47 5 0.62 over the two-way audio system. Length of Tour22. *The time devoted to each video-based site visit was: 4.66 5 1.1123. *The typical amount of time the video of each construction activity was on the 4.67 5 1.11 screen during the site visit(s) was: Instructor Skills 6. The extent to which the instructor made the students feel that they were part of 4.23 4 0.67 the video-based site visit. 7. The instructor's communication skills for the video-based site visit. 4.31 4 0.50 8. The instructor's preparation for the video
f f f f f U n l e s s n o t e d o t h e r w i s e , e r c e n t a g e s o r t r a n s e r c r e d i t a m o n g a r t i c i a n t s a r e o u t o t h e s e t o a r t i c
for the future. F1 Please describe your plans over the next 5 years. What would you want to do after you complete your dual degree program? F2 Are you interested in pursing any additional graduate degrees in the future? Please list all the fields and degree programs of interest. a Anticipated Graduate Program(s): b Anticipated Graduate Degree(s): c Anticipated Start Date(s):Students could select to receive this questionnaire in electronic or hard-copy form. From thesecompleted questionnaires, one student who had not been identified through the final survey andinterviews, told us of plans
Comparison to Current Criteria F o u n d a t i o n a l O u t c o m e s 1 Mathematics B 3 Solve problems in mathematics through differential equations and Fully addressed by the CEPC. apply this knowledge to the solution of engineering problems. 2 Natural Sciences B 3 Solve problems in calculus-based physics, chemistry, and one Fully addressed by the CEPC, except additional area of natural science and apply this knowledge to the for the word “natural.” solution of