this article is based partially upon work supported by the NationalScience Foundation under grant numbers: 0934800, 0736997 and 0442531. Any opinions,findings, and conclusions or recommendations expressed in this paper are those of the authorsand do not necessarily reflect the views of the National Science Foundation. Page 15.1307.13References:1. Nichol, D.J. and Boyle, J.T. (2003). “Peer Instruction Versus Class-wide Discussion in LargeClasses: A Comparison of Two Interaction Methods in the Wired Classroom,” Studies in HigherEducation: 28(4): 457-473.2. National Academy of Engineering (2004). Educating the Engineer of 2020, Washington, DC.3
the performance ofindividual teams throughout the course. Students that extensively used the Team Sites,particularly the Collaboration tools in addition to the shared document libraries, tended to have abetter performance in the course, reflected in both their assessment and physical prototype.However, it is unclear if the Team Sites contributed to the success of the teams, or rather thatsuccessful teams were more willing to make use of the Team Site features.The second most commonly used feature of the eDesign Portal was the Application Publishingmodule. In particular, students reported that remote access to engineering design and simulationapplications was very convenient when off campus (e.g., from a home computer). Although theremote
Conference & Exposition Copyright © 2005, American Society for Engineering Education”The CourseThe curriculum consisted of pre-travel meetings and briefings on the Manchester region andits culture, and general information culminating in the trip to England during spring breakand post-travel seminar presentations and a reflection paper. The first pre-immersion sessionincluded covering the course requirements, introduction to the Manchester area usingbrochures and maps, a basic travel itinerary, travel cost information, how to start thedocumentation process (passports and SDSU international trip forms), and a studentparticipation survey dealing with cultural sensitivity and awareness. The survey wasdesigned to help students
next time we held thecourse we should do only one session per week. On the other hand, the students felt that thesession length of 1 ½ to 2 hours was appropriate.Impact on Teaching FellowsIn reflecting upon the impact of this course, it is clear that we learned as much from thisexperience as did the students who participated. Foremost, educational research of this typevastly differs from the typical laboratory research we as graduate engineering students havebecome accustomed to. For example, when conducting educational research investigators mustunderstand that working in a K-12 environment requires a higher degree of flexibility, patience,and tolerance of unexpected chaos. An important outcome derived through the implementationof this
slightdifference in the frequency of responses per score range.Fig 3 shows the distribution of scores corresponding to Q2 (Table 1). The pattern is fairly similar for thetwo data sets and reflects student confidence of having achived better understanding of energyconservation concepts. Page 15.800.9Figure 4. Distribution of student perceived improvement ratio R (post / pre course rating of energy conservationimportance)Fig. 4 shows the R distributions per ratio ranges with similar patterns for the two data sets. The figureshows that one third of the students for set 1 and slightly more for set 2 have not changed their ratings forpre and post course
superposition.IV. Concluding RemarksIn the method of model formulas, no explicit integration or differentiation is involved in applyingany of the model formulas. The model formulas essentially serve to provide material equations(which involve and reflect the material property) besides the equations of static equilibrium ofthe beam that can readily be written. Selected applied loads are illustrated in Fig. 1(a), whichcover most of the loads encountered in undergraduate Mechanics of Materials. In the case of anonlinearly distributed load on the beam, the model formulas may be modified by the user for aspecific nonlinearly distributed load.The method of model formulas is best taught to students as an alternative method, after they havelearned one or more of
school students’ attitudes and beliefs toward computing can provide teachers andresearchers with an understanding of how to encourage more students to pursue these fields. Thestudy presented here was partially support by the National Science Foundation (NSF) (DUE-0512064; DRL- 0737679; DRL- 0623808). The ideas and opinions expressed are that of theauthors and are not necessarily reflective of that of the NSF.Research QuestionThe research question that guided this investigation is: ≠ Are the two intervention programs which target high school students’ computer science and information technology attitudes equally effective for improving students’ attitudes within the two fields
processand a final course test are taken into consideration to evaluate learners’ achievement levels.Pre/post test and the unit exercises for those in the experimental group are taken from thequestion storage. A variety of formats such as true/false, single choice, multiple choice, and shortanswer are included that reflect the content and unit objectives. The first three types of questions Page 15.7.6 required that answers be justified. 85% pass is required for each unit test in order to transfer to the following unit. The final course test is administered for both groups in a paper-and-pencil format. Web-based learning attitude scale A web-based
calculate input and output power,and power loss or attenuation. Page 15.670.7Figure 1. Lab activities providing hands-on experience.6. AssessmentAssessment is vital and should reflect to what extent the course meet the learningobjectives; direct and indirect assessment measurements were developed to measure theeffectiveness of the course and whether goals are met.Participating student knowledge and understanding of subject material were directlyevaluated through quizzes and pre-test and post-test that measures competence of thecourse components. Results of the exams were analyzed to determine specific areas ofcognizance of the subject matter, interest in
≠ Pre-workshop assessment worksheet ≠ Discuss the pre-workshop assessment ≠ Followed immediately after ETW ≠ More time between ETW and ExCEEd II ≠ Demonstration class ≠ More time for personal reflection ≠ Participant team building through games (kickball) ≠ Need time to talk as a team before sports, Low impact sport, but keep it competitive ≠ Participant team rapport ≠ Ice breaker party, perhaps at the hotel ≠ Had meals together ≠ Vegan options and a meal where participants from
. They were supported bythe lead teachers and the community college faculty as they prepared to integrate a unit of EiEinto their classrooms over the next two academic years: 2009-2010 and 2010-2011.Description of the Participating Lead TeachersBefore starting the Teacher Educator Institute, each of the lead teachers filled out a participantsurvey. Tables IX and X tabulate the participant survey responses and reflect the number of yearsthe teachers have been employed in education and their educational backgrounds. Table IX: Number of Years Employed in Education Years in Education 3 3.5 4 5 6 7 8 9 10 13 16 17 20 Number of 3 1 2 2 2 2 2 1 1 1 1 1 1 Teachers Table X
and assessments that have been developed. The mostcommonly used within engineering is the Felder-Silverman learning styles model [4], with itsassociated assessment, the Index of Learning Styles (ILS). This model categorizes studentsbased on four dimensions, which characterize different aspects of student learning: sensingversus intuitive, visual versus verbal, active versus reflective, and sequential versus global. Interms of learning programming content, the two most important scales are the visual versusverbal scale and the sensing versus intuitive scale.There have been numerous studies that have looked at the learning styles preferences ofengineering students [5-7], and those preferences are consistent across populations [8]. Whatthese
. In fact, by the end of the semesterthe engineers were arguing their position papers from humanist perspectives and vice versa –humanists basing their arguments on cost-benefits and practical reasoning.A conclusion based on the review of the course assessment and reflection was the necessity todevelop and facilitate the course with a multi-disciplinary group of students and a team taughtapproach representing not only engineering but also a humanistic perspective. Survey responsesfrom the civil engineers clearly indicated the humanities students provided example applicationsof critical thinking and a broadened worldview previously unseen in engineering and othergeneral education courses. Furthermore, the peer effect was strong providing a
process: ≠ Blue – Enablers ≠ Pink – Hinderers ≠ Yellow – Student Need Statements ≠ Green – Student Need Factors ≠ White – Pre-defined Student Need Factors (based on the student success theoretical perspectives)Step 2: Elicit Once participants had an understanding of the scope of the meeting, they were guidedthrough a brainstorming exercise by the facilitator. The discussion questions allowed the groupto reflect on their own experiences and provide their perception of those needs that facilitateengineering student success. To ensure that participants clearly understood what is expected ofthem, each discussion question was initially posed to the group to provide an example
considered. For instance the average score foroutcome b - ability to design and conduct experiments, as well as to analyze and interpret data –is below the threshold 50% level. This was a flag to evaluate further the achievement of thisoutcome. In this case, the faculty agreed that the items provided for outcome b were significantlymore difficult that the other items and did not properly reflect expected level of achievement.The outcome b questions are currently under revision. Table 3: GSE score and sub-scores IE and MfgE Outcome IE (n= 130) Mfge (n = 32) Total (n=162) a 67.0% 73.7% 69.2% (21.5%) (23.4
Page 15.817.8their persistence and impact.Although we have made significant progress, we know that sustaining the slow process ofinstitutional transformation will required continued efforts and investment. The ISU-ADVANCE team continues to develop strategies to address each of these challenges and remainsboth committed and optimistic to positive transformation.This material is based upon work supported by the National Science Foundation under Grant No.SBE-0600399. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation
. Video clips are presented along with the questions/answers to explainstudents what are related to EE and what are the basic fields of EE. The portal page of themodule is displayed in Figure 9, which can be accessed after students login with their user ID. Figure 9: Portal page of the GIVE moduleWhen designing the module questions, we tend to present and reflect different levels ofknowledge, from being more intuitive to being involved with more critical thinking. Someexamples of the videos and questions are described in below to illustrate this feature.Figure 10 shows four snap shots of a video clip used in GIVE module. This video is designed tocascade a sequence of very short clips on various subjects, some are related
for the LinksysStudents observe various MAC layer setting of Linksys wireless routers such as authenticationtype, CTS protection mode, beacon interval, DTIM interval, fragmentation threshold, and RTSthreshold. Students get knowledge about each of these parameters and how they affect theperformance of wireless networks. Students write a reflection report by including thoseparameters. 172.31.11.44/29 Lab Router Internet 10.255.1.1/16 10.255.1.2/16 Linksys Wireless
this paper are those of the authors and do notnecessarily reflect the views of the National Science Foundation. We thank the faculty membersand students at IIT Madras who provided the data and assistance in conducting this project.1 Chamberlain, J. (2008) “Multidisciplinary design of student projects in developing countries,” 2008 ASEE AnnualConference and Exposition, pp. 1-14.2 Hsu, K., Lin, S., Lin, Y., Yeh, S. (2008). “Exploring the Eco-Pedagogy of an Urban Eco-Tourism Hill PathDesign,” 2008 ASEE Annual Conference and Exposition, pp. 1-11.3 Montgomery, G., Sankar, C.S., and Raju, P.K. (2007). “Design and Implementation of a Case Study and
) emphasis that engineering occurs in a broader societal context, and 3) creating afoundation for life-long skill and knowledge development. These elements were reflected in thefollowing goal: Page 15.13.5The College of Engineering will provide a contemporary engineering education that fosters anunderstanding of the societal context of engineering and a passion for life-long learning.Achieving this goal requires that faculty and staff guide students in shaping their undergraduateexperiences to: • build disciplinary excellence with multidisciplinary perspective, • nurture critical thinking • develop multicultural competence, • cultivate
Table 5 (Cont’d). Concept & Problem-solving InventoryIV. Assessment InstrumentThe goal of the instrument is to place students at their appropriate levels within the taxonomy.The students take a series of three tests starting with fundamental level problems as indicated inthe inventory. The assessment tool has been designed to be simple and easy to implement. It wasdesigned to focus on the student's conceptual understanding and problem-solving skills. Theassessment instrument provides an essential guide for the instructor to assess the student’sproblem-solving skills that also require covering the conceptual knowledge; this is reflected inthe distribution of the score weights among the competencies. The conceptual competencies ofthe
5 to resort to shady practices. 10. The profit motive pressures managers 1 2 3 4 5 to compromise their ethical concerns. Table 2 Student posttest responses of ethical cynicism quotientStudents were given an ethical cynicism test at the end of reflection in action. The class waspretty non-cynical. The average posttest cynical measure was 21 out of a maximum of 50. Page 9.1199.7 Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright © 2004, American Society for
AD)During the Baroque period, music became complicated, ornamented melodies. Themusic was dramatic, flowery, emotional, and reflected the spirit of the times.Technically, music contained formal order based on repetition and ornamentation. In thisperiod, new types of compositions, such as concertos, sonatas, cantatas, operas, andoratorios, for many different combinations of instruments and vocal ranges were created.5.5. Classical (1750 AD-1800 AD)After the complicated Baroque period, the Classical period emerged. This periodcontained a new, cleaner sound. Music compositions were based on simple short themes,unlike the Baroque period. During this period, composers exploited graduated sound andspace, repetition, and simplification of music.5.6
resistance against introducing newtopics and reach the largest number of students quickly. Work is continuing to assess the degreeto which students comprehend the new material that is being introduced.AcknowledgementsThe authors gratefully acknowledge the support of the Division of Engineering Education andCenters of the National Science Foundation under grant number EEC-0304049. Any opinions,findings, and conclusions or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation.Bibliographic Information1. Morgan, J., Rinehart, J., and Froyd, J. (2001) Industry Case Studies at Texas A&M University, Proceedings, ASEE Annual Conference2. Lasting
Education Annual Conference & Exposition Copyright ©2004, American Society for Engineering Educationexplanatory information from context in brackets (e.g. "he lectured." would be replaced by "he[non-engineering faculty member] lectured.").Table 1: Sample of IE Majors Interviewed at OU Sophomore Junior Senior Alumnus TotalFemale 3 10 2 0 15Male 3 3 4 1 11The perceptions in this paper are from IE students at OU. As a result, the data in this paper willbe reflective of both the discipline and
University have worked together to make this amodel of successful educational program enhancement.Introduction Throughout history, NASA has played a critical role in promoting engineering andscience education at colleges and universities. NASA has accomplished its educationalobjectives by following a well-established structure and leveraging its resources to accomplishprogram goals. NASA has notably committed to education since its creation in 1958. Thisstrong commitment has been continuously reflected in the agency's Strategic Plan, in whicheducation is viewed as important as space exploration. NASA’s national education program isdevoted to “inspire the next generation of explorers”. This education program is carried outthrough NASA
invitenon-engineering faculty, practitioners or interested community members to participate inideation sessions. The goal is to break out of the engineering mind set that tends to startworrying about how to make it in detail, before expanding the pool of ideas.III. ScreeningThe term screening refers to a systematic and unbiased process of selecting a small number ofideas to investigate further from the many ideas generated in the ideation phase. This is animportant concept in the marketing New Product Development process and is enumerated in theCrawford and Benedetto text that is used in that class. Student teams began this phase bydesigning a screening method that reflected the priorities of the project sponsors. Despite thefact that the most
, and be social with each other. It seemed to make the team feel morecomfortable with each other, more able to express ideas openly and discuss them without “Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright © 2004, American Society for Engineering” Session 3160feeling shy about it”. Further they wrote: “Basically, each team member’s team workingskills can be seen by the work that was completed towards the end of the project. The workwas more divided for effective time usage, but still reflected all thoughts and opinions of theteam
that they know how to use. The final section of the subject isthe service-learning-based final project.Section 1–FundamentalsDuring the first section of the subject we introduce the following fundamental concepts • Voltage and current. • Ohm's Law • Circuits and Kirchhoff's Laws. • RC time constants.The following components and items of test equipment were also presented • Resistors, Capacitors, and LEDs. • Protoboards • DPDT knife switches. • Digital Multimeters (DMMs). • Function Generators. • Oscilloscpes • Three-terminal, linear voltage regulator (e.g., 78xx)The pace is fast, and we try to maximize the time spent building circuits while allowing enoughtime for reflection and discussion. As an example, here is the
a few tripsto the motor pool to conduct a reconnaissance of the site and to start visualizing how to addressthe presented problem. They quickly decided to each develop an alternative solution to theproblem and then decide after further research and reflection which alternative best met theclient’s needs and would be the most cost and fabrication efficient. Prior to winter leave theyconducted a site survey using a Total Station Surveying device and a digital camera. Aftersurveying approximately 200 points, they were able to computer-generate a topographic map ofthe proposed construction site. They used this large scale map in addition to several photographsclearly depicting the contour of the stream to develop a plan and compare their