your male collaborators.Several male faculty members commented that women faculty members might have in fact, an Page 13.924.9easier time securing grants because of special NSF funding sources and initiatives targeted atfemales, but none of the women faculty members mentioned this point.Double stigma for women faculty membersThe majority of female faculty members described feeling a double stigma of possibly beinghired because they are a female and then having to work extra hard to prove they are bothdeserving of the position and earned the job because of their qualifications. The following quotesfrom female engineering faculty members reflect
the course of thetask by talking with other people, investigating research documents, utilizing pastresearch, and reflecting on their previous experiences. This speaks to the role ofexperience, tradition, and history “doing design” and “being a designer.” Page 13.273.16The theme of ‘depth’ emphasized designers’ stance on the importance of solid contentbackground in the discipline. Designers stressed the importance of depth of knowledge.While there are certainly skills associated with design tasks that are separate from contentknowledge, content knowledge is a foundation for decision making. Content knowledgehelps build intuition, and informs
alsoserve as case studies for discussion of technological risk in engineering courses or in liberal artscourses that reflect on the role of technology in society. The paper will conclude with somerecommendations for what we need to do as engineers to reduce the risk of engineering disastersand how we can integrate the awareness of these concepts into the experiences of undergraduateengineering students.2. Technology, Engineering and RiskDoing technology is central to what we are as humans. Anthropologists have chosen to describethe first modern humans as “homo habilis,” therefore expressing the centrality of our “tool-using”and tool creating capabilities to our very nature.2 But, everyday observation reminds us thattechnology, like all other human
P Ptechnical sessions of the 2005 NCSLI Annual Workshop and Symposium, participants weregiven sticky dots to mark on kiosk displays the areas that they believed to be of highest priority.In addition, a survey form was distributed to gather feedback on suggested action steps thatNCSLI might take. The overwhelming feedback on the kiosks, surveys, and individualdiscussions related to Metrology Outreach. The objectives and framework of the roadmap wereslightly modified in 2007 to reflect the intervening time and are noted below. Page 13.922.2Objectives:1. Metrology & Standards Outreach. Ensure awareness of metrology, measurement sciences
the distance of haptic point from the center of force field as shown in Fig. 16. Anupper bound is placed on the force to prevent the application of large forces that might damagethe device. A separate s-function is implemented for the haptic guidance algorithm in Part 2. Thehaptic exploration experiments in Part 1 are repeated with the repelling force field to assess theeffectiveness of haptic guidance for robot-assisted medical interventions.5.4. Experiment IV: Control Architectures for TeleoperationIn master/slave telerobotic systems, a human operator can remotely control a robotic arm inorder to interact with a task environment. In this context, force-feedback haptic interfaces can beemployed to reflect the environment force back to the
, F. E. (1959). Characteristics of socio-technical systems. In Emery, F. (ed.), The Emergence of a NewParadigm of Work. (Centre for Continuing Education, Australian National University, Canberra, 1978, pp. 38–86.)16. Johnson, B. L. (2002). Extending the study of learning environments: connecting the field to other literatures.Queensland Journal of Educational Research, 18(2), 183-206.17. Sergiovanni, T. J. (1986). Understanding reflective practice. Journal of Curriculum and Supervision, 1(4), 353-359.18. Aviolo, B. J. (1999). Full leadership development: Building the vital forces in organizations. Thousand Oaks,CA: Sage Press.19. Aldridge, J. M., & Fraser, B. J. (2000). A cross-cultural study of classroom learning environments in
is ability to capitalize on market differences.The diverse locations of the participating institutions provide access to larger and more diverseminority populations. For example, some of the colleges within NW-ETEP are able to drawfrom a larger number of Hispanic populations, while others are better able to draw from African-American and female populations. 2 In general, each institution attempts to increase URMrecruitment from all minority populations. However, each institution also finds strength indrawing from particular minority applicants that are reflective of geographic location. Thisenables NW-ETEP to make progress toward increasing overall minority recruitment without
accommodate changes in the hardware and tools used. The creative portion can be changed every semester to insure that students are exposed to new projects. • Extend the use of the educational development tool Altera Debug Client) to continue challenging students, and delay introduction of more advanced tools (Nios II IDE) until later in the course after ISRs have been introduced.Table 2 reflects the proposed modifications to the Microprocessor lab.Table 2: Microprocessors Lab 2008 Outline Week Topics/Assignment 1 Familiarization with DE2, Nios II, and Debug Client (simplified tutorial) 2 Introduction to memory. (assignment: bubble sort routine) 3 Exploration of address
industry advisory board, activities ofthe department curriculum committee, analysis of data reflecting student cooperative educationactivities, involvement in professional societies, student choice of minor programs, studentPortfolios, etc.The indicator courses, defined by the faculty, are critical in assessing program outcomes. Eachprogram outcome should have one or more courses that contribute to its achievement.Performance in indicator courses also provides information to the faculty regarding performancein prerequisite courses.A survey of graduating seniors and the exit interview can be a source of useful informationregarding the curriculum. While senior information is valuable, graduating seniors may lacksufficient context to correctly
(introduction to graphics) assigned forthe week. Page 13.533.8 Fig. 4.b: Screenshot of DyKnow software showing discussion of travel route to Coimbra, PortugalThe setup needed webcams at each end, an audio output and a video projector- this setup isillustrated in the sequence of pictures in figure 4.c. Skype enabled us to facilitate audio/videocommunication at both ends, while Dyknow Tablet PC software provided the instructor thecapability of working on engineering problems that were dynamically reflected on each student’stablet PC.Students in the freshman The hardware setup in the The software used
gratefully acknowledge support from this NSF award.DisclaimerAny opinions, findings, and conclusions or recommendations expressed in this material arethose of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.Bibliography1. Excel-Engineering website. Magnus Holmgren, 2007. http://www.x-eng.com/2. The Chemical Engineers' Resource Page, 2004. http://www.cheresources.com/iapwsif97.shtml3. Korf Hydraulics Website. Lynn McGuire. http://www.korf.co.uk/util_1.html4. Cengel, Y. A., and Boles, M. A., Thermodynamics: An Engineering Approach. Sixth Edition, 2007, McGraw- Hill.5. Wagner, W. and Prub, A. The IAPWS Formulation 1995 for the Thermodynamic Properties of Ordinary Water Substance for
Session - 2007The timeline for spring of 2007 has been restructured showing the inclusion of the Your Turn!activity at the end of each lecture. A rough time estimate was placed on sections of the lecture.No time estimate is made for the Muddiest Point as the time taken here is included in the timeestimated for the Your Turn! Lecture revisions during fall of 2006 were worked around thesetime estimates. A reevaluation of concepts taught in the course was also part of the fall of 2006revisions. The new set of lecture topics is shown in Table 2.The spring 2007 lecture topics shown in Table 2 closely reflect the order of the Holly Mooretextbook used for ES100. One notable change in the material covered is the addition ofLabVIEW to spring of 2007 as a
questions, a question reading “Was it helpful for understanding the lecturesto use the DigiCom in the class?” was evaluated in 2007. The mark was 4.35/5 which was higherthan the other questions. However, comparative evaluation was not possible since the questionwas given in 2007 for the first time.5.2. Comparative analysis of the examination papersOf the exam questions given in the 2007 term, the types of the questions which can beconsidered to reflect the effectiveness of the practice, by comparing with those in the previousterms, are as follows. The exam questions below are similar types, but the same questions werenot always given.Table 9. Questions for exam used for analysis Number Question type
worlds and are capable of integrating people withvarious cultural backgrounds into their teams. These demands are for example reflected in asurvey of 2004, carried out by the German Engineering Federation VDMA (Verband DeutscherMaschinen- und Anlagenbau). The results are presented in Figure 2.Figure 2: What companies expect to change in education for engineers. From VDMA 11,translation added by authorsA modern university with its diverse staff and students from all kinds of educational and culturalbackgrounds provides an ideal environment for developing these kinds of skills. Due to theBologna process universities now have the opportunity to integrate the new demands into theircurricula. Unfortunately, a big amount of the Bachelor courses in the
navigate through the ontology, and identifyrelevant kinds of objects and inter-relationships; specific instances can then be accessed – suchinstances will be presented with an associated measure of semantic relevance, determined by thedegree to which the instances match the desired result. (2) One can issue a word-basedinformation request, in which case the tools we develop will utilize the ontology to disambiguatethe request, and do an ontology-enhanced word-based search; the results presented will again bepresented with an associated estimate of semantic relevance. (3) The ontology can itself be usedfor study and analysis – it can be evolved dynamically to reflect new or modified ESAs, explorealternative delivery paradigms, etc.Conclusion
a reading was taken on totalsuspended solids in the sample based upon light scattered transmitted or reflected. The projectrequired analysis of wavelengths, calibration of sensors and error analysis.Equipment: LabJACK U12, commercial turbidity kit, photo diodes, solid state relay, water tank,and LabVIEW 8.5. Control of an Ethanol Fermentation Process (2006).A fermentation process in continuous production of ethanol requires monitoring and maintainingparameters such as temperature, pH, and flow rate. Fermentation by yeast requires optimumtemperature in the range of 37oC, and pH of 5. The temperature can be controlled by switching onor off a heater system. The pH can be controlled by adding acid or NaOH. These adjustmentshave to be done
Page 13.1340.11using it again, but in expanding its use to explore additional topics. Initially, it is also importantthat faculty feel comfortable leading the simulation; the‘Train-the-Trainer’ workshop, on-sitesupport during the first run of the simulation, and the simulation documentation all contributed tothe success at Sites 2 and 3. Longer term, we are evaluating the importance of ongoing support,reflective activities such as writing articles, and opportunities to participate in case developmentas ways of keeping faculty engaged to sustain changes.The results from these initial implementations are being used to refine assessment tools, as wellas to inform the process for future implementations. Several additional universities will be
(thinking vs. feeling), and outside world orientation (judging vs. perceiving) resulting in 16 personality types. Kolb Learning Based on quadrants of 2 dimensions of perception (sensing/feeling vs. Cycle thinking) and 2 dimensions of processing (doing vs. watching). Felder and Based on 5 dimensions of learning: perception (sensory vs. intuitive), Silverman’s input (visual vs. auditory), organization (inductive vs. deductive), Index of processing (active vs. reflective), and understanding (sequential vs. Learning Styles global). Herrmann Brain Based on 4 quadrants of thinking preferences generally characterized Dominance
automated systems for use as a learning tool and reference.AcknowledgementsThis material was supported by a National Science Foundation grant no. 0238269. Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe author and do not necessarily reflect the views of the National Science Foundation.Bibliography1. Hsieh, S. "Automated Manufacturing System Integration Education: Current Status and Future Directions," Proceedings of 2005 ASEE Annual Conference, June 12-15, 2005, Portland, OR.2. Schank, R.C. and Abelson, RP. (1977). Scripts, Plans, Goal and Understanding: An Inquiry into Human Knowledge Structures. Hillsdale, NJ: Erlbaum.3. Abelson, R.P. (1981). Psychological status of the script
in the body of the report they submit. A meeting with course stafffollows to provide teams with feedback on their plans.Typical errors seen in team Gantt charts include failing to divide the work between members, or,at the opposite extreme, assigning tasks so atomistically that a coherent overall vision is lost.These typically are symptomatic of deeper problems—wanting to work together on all aspects ofthe project, for example, often comes from a lack of trust and confidence in one another, whereastotally compartmentalizing the project between team members may reflect a generalunwillingness to lead on the part of individual team members. In these cases, the project plan canserve as a diagnostic for team problems and a reason to
active learningGetting Experience Reflective Dialogueinformation &ideas‚ lectures ‚ take apart of common household ‚ students and faculty‚ textbooks products to identify and sort material collectively make decisions on‚ seminars from types course structure and rules guest speakers ‚ convert energy ‚ end of class discussions on the‚ collaborative ‚ use softwares (e.g., SimaPro, EIO- course materials and learning websites LCA) to perform life cycle analysis problems ‚ case-studies ‚ 1-minute tests ‚ role play
State University and a B.A. in Mathematics from Kenyon College.William Clement, Boise State University William P. Clement is Associate Research Professor at the Center for Geophysical Investigation of the Shallow Subsurface at Boise State University. His research interests include using near-surface geophysical methods such as Ground Penetrating Radar reflection data and cross-hole GPR tomography to better understand processes in the shallow subsurface.Joe Guarino, Boise State University Joe Guarino is a Professor in the Mechanical and Biomedical Engineering Department at Boise State University. His research interests include simulation modeling for engineering education, vibrations
PrimaryAs shown in figure 1, any given transformer can be reflected to the primary side or to thesecondary side. Also, the student has the choice of analyzing a given transformer based on theexact model as well as the approximate model. If the approximate model is selected, the studentneeds to specify one model from the list of the approximate models. The list consists of thefollowing approximate models: 1. Shunt branch moved to primary side. 2. Shunt branch moved to secondary side. 3. Shunt branch neglected 4. Both Shunt branch and resistance neglected.The parameters of the given transformer in this module must be inserted as an input values. Inaddition, the load voltage, the turn ratio of the transformer, the rated load in KVA and
, especially projects 1 and 2.Table 8. EXTREMESQuestion 4. From what material or method did you learn least?1. Project 2.2. The lectures.3. Again, difficulty with third presentation.4. Algorithms for image processing.5. The book itself. We had little motivation to open it. *6. N/A.7. --- Page 13.747.118. The book. ** Responses 5, 8 reflect the instructor’s implementation of the course, not the merits of the text.Table 9. OTHER. What other comments do you have on other aspects of the course?1. ---2. All in all, it was a
have been developed to-date. Thisdiversity reflects the complexity and breadth of modern engineering. At the same time, it poseschallenges to educators and policy makers seeking to understand how—or whether—engineeringcan become a more regular part of U.S. pre-college education. The noticeably thin presence ofmathematics, as well as of some key engineering concepts, such as modeling and analysis, raisesadditional questions about the difficulty of developing curricula that authentically represent thepractice of engineering.Another important question, not addressed in this paper but to be considered in the largerproject’s final report, is what impact K-12 engineering education has had on such things asstudent engagement and retention
fields. The Engineering in Health Care andEngineering Energy Solutions INSPIRES modules reflect real-world problems that chemicalengineers face today, and the students are given the theory and background information neededto consider possible solutions. The curriculum guides students through the engineering designprocess, which includes hands-on activities and mini design challenges coupled with the web-based tutorials and interactive simulations, to lead them to the final design challenge. TheEngineering in Health Care module has been tested with a wide range of students, and theEngineering Energy Solutions module is slated to begin testing in 2008.Engineering in Health Care: A Hemodialysis Case StudyThe Engineering in Health Care module has
complicated hardware and software based modules could be built withLabVIEW. In this section, we explain which modules we have built using LabVIEW 8.2 and itstool DSP Module 2. Specifically, we have developed 13 NI-Speedy-33 modules, 2 NXT modules,and 4 software-based modules. We elaborate more on the hardware-based ones utilizing the NI-Speedy-33 to reflect the real-time examples as much as possible. However, most aspects ofsignal processing and DSP classes could be implemented with software-based modules, but theywould be based on non-real-time data.When building hardware-based modules, some of the signal processing concepts such as signalgeneration, FFT, convolution, and filtering can be implemented directly by the students with thefunctions and
precursor to EGR 101 for initially underprepared students, WSU has made the coreengineering curriculum immediately accessible to roughly 80% of its first-year students. This isexpected to have an even stronger impact on student retention and success than the initialimplementation of EGR 101.7.0 Acknowledgments This work has been supported by the NSF Division of Engineering Education andCenters under grant number EEC-0343214, by the NSF Division of Undergraduate Educationunder grant numbers DUE-0618571 and DUE-0622466, and by a Teaching Enhancement Fundgrant at Wright State University. Any opinions, findings, conclusions or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of
) ‡ Average agreement with the statement “The session helped me perform my role as a TA,” with 1 = strongly disagree, 2 = disagree, 3 = neutral, 4 = agree, and 5 = strongly agree We are gratified by how positive these ratings are—particularly the post-semester ratings,which reflect the students’ evaluations of the value of the workshops in light of their actualexperience as TAs. At the same time, we recognize the limits of self-assessment for evaluation ofthe effectiveness of training programs, and one might wish for student ratings of the TAs’performance with which to triangulate the self-assessments. Unfortunately, the engineeringdepartments at this university do not collect such data except in the very rare cases whenteaching
. There are sixteen four-letter MBTI types. Example descriptionsof two of the sixteen types follow:ISTJISTJ is the most common type among practicing engineers. They are usually quiet andcan appear withdraw because of the I, but most of them make good use of their quiet timeby thinking of ideas and how facts go together. As S’s, they concentrate on executing thejob at hand, using logic (a T trait) to figure out the solution. Their J preference enablesthem to schedule and plan ahead, and they don’t like to have to adapt and change oncethey start down a path. ISTJs are dependable, organized, goal-oriented, and focused onthe facts.INTJINTJs combine their love of personal reflection with a structured and logical assembly ofendless possibilities. They