special issues for under-represented student populations including women andminorities.PartnershipsThe extensive research team assembled for this project has a number of positive characteristicsthat were considered requisite for ultimate success of the effort, including: (a) an experienced PIwith a track record of working with each faculty-instructor; (b) energetic faculty-instructors withlocal Department support to develop a novel laboratory course; (c) an advisory boardrepresenting 2yr, 4yr, and HBCU (historically black colleges and universities) colleges providingindependent critical feedback to make the development of educational materials broadlyaccessible to diverse student audiences; (d) two members of the National Academy ofEngineering as
community, government, and industry. The goals ofvertical collaboration are to (a) enhance environmental science education at all levels, (b)accelerate the exchange of information and ideas between educators and students from K-12through post-graduate education, and (c) promote the development of relationships betweenindividual educators that will be mutually beneficial. The goals of vertical collaboration will bemet by (a) providing forums for interaction among educational groups that currently haveminimal contact, (b) creating hands-on and virtual educational activities for multi-level groups,and (c) establishing multi-level collaboration as core components of WATERS Network projects.Further, the cyberinfrastructure of WATERS Network can provide
business. The quantitativesampling strategy used in selecting the population was non-probability, convenience sampling[15]. The population was readily available and convenient. In addition, the populationrepresented some characteristics of the target population. The student teams resemble self-managed teams in the following ways: (a) self-led, (b) shared responsibility, (c) shared goals, Page 11.228.16and (d) high autonomy. Each team is assigned a team project for the 2006 spring semester.Instrumentation The measuring instrument for the independent variable is the 36-Item ManagerialBehavior Instrument developed by Lawrence, K.A., Quinn, R.E
spill water to run Page 11.329.4through water-wheels or other toys. In general the students tried to purchase parts and 3components instead of fabricating them at the machine and/or wood shops in order tosave their time and improve the product quality. Teams then drew their CAD drawingsand started to purchase some parts that were available from local stores. Because ofbudget limitations and availability of components at the local stores, a number of partshad to be fabricated by the students. Two teams spent their major time building the woodtables.(a) Conceptual design by Team 1 (b) CAD drawing by Team
detail questions: A. How did you initially generate an Andersen Window detail? 0% Automate; 58.8% Copy; 41.1% Copy parts; 0% Create B. How did you fit the head and sill of this detail into your wall detail? 0% Analyze only; 0% Develop only; 5.9% Integrate only; 76.5% Analyze & Integrate; 17.6% Just copied and pasted into the wall detail without modifying2. Please answer the following first floor sill/floor/stud wall intersection detail questions: A. How did you initially generate a first floor sill/floor/stud wall intersection detail? 0% Automate; 5.9% Copy; 5.9% Copy parts; 88.2% Create B. How did you fit this detail into your wall section? 0% Analyze only; 47.1% Develop only; 5.9
center of mass and front and rear suspensions respectively.The car is assumed to be traveling at 50 km/hr and the road is approximated as sinusoidal incross section with amplitude of 10 mm and the wavelength = 5 m. a) Using Lagrange’s equations derive the governing differential equations of motions, describing the bounce and pitch motions. b) Using MATLAB, obtain the natural frequencies of the system and the corresponding mode shapes. c) Verify the results in part b by building a SIMULINK model of the system. Simulate each mode and show that the system oscillates at the respective natural frequencies. d) Assuming free vibration of the system under the initial conditions x (0) = 14 mm and
)hemicellulose/polyose, which is predominantly a sugar-polymer of pentoses; b) cellulose, whichis a glucose-polymer; and c) lignin, which is a polymer of phenols (Figure 5) [9]. Lignocellulose + H 2 O → Lignin + Cellulose + Hemicellulose Hemicellulose + H 2 O → Xylose Xylose (C 5 H 10 O5 ) + acid Catalyst → Furfural (C 5 H 4 O2 ) + 3H 2 O Cellulose (C 6 H 10 O5 ) + H 2 O → Glucose (C 6 H 12 O6 ) Figure 5. General equations for biomass conversion in an LCF-Biorefinery.Biomass streams generally cannot be utilized directly as bioenergy, biofuels, or bioproducts; theytypically must undergo conversion operations in order to be successfully used. The keyobjective of biomass
2006-800: GAME DEVELOPMENT IS MORE THAN PROGRAMMINGBruce Maxim, University of Michigan Professor Maxim is Associate Professor of Computer and Information Science at the University of Michigan -Dearborn. He has taught game design, artificial intelligence, and software engineering courses for 20 years. His current research interests include software usability, accessibility issues, and software quality assurance. Page 11.660.1© American Society for Engineering Education, 2006 Game Development is More Than ProgrammingAbstractGame development generates a great deal of excitement among undergraduate
applications that this field addresses. (a) To develop a software collection of machine learning related algorithms based on MATLAB with accompanying documentation and usage examples based on real-world problems. (b) To develop educational material regarding selected, current topics in machine learning that will be used as chapters of an introductory textbook in Machine Learning for undergraduate students. 3. Involve students from 2-year community colleges (BCC and SCC) in this educational development process. The plan is to involve 10 community college students per year. Page 11.544.4 4. Disseminate
., Using LEGO Bricks to Conduct Engineering Experiments. Proceedings of the ASEE Annual Conference and Exposition. 2004.[3] Bain. K., Creating a Natural Critical Learning Environment in Large Lecture Classes. Invited lecture, Stevens Institute of Technology. 2005.[4] Engineering Trends. 2005. Synopses of New Reports in Inside Engineering Education on the Engineering Trends Web Site. Engineering Trends Quarterly Newsletter, Summer 2005.[5] National Science Board. Science and Engineering Indicators 2004. Chapter 2: Higher Education in Science and Engineering. 2004.[6] Pomalaza-Ráez, C. and Henry Groff, B. Retention 101: Where Robots Go…Students Follow. Journal of Engineering Education. Vol. 91, No.1, 2003.[7
improvement plan. Itshould be noted that some assessment methods can only be used to assess certain specificoutcomes. Table 1 maps the assessment tools for assessing each of the a-k programoutcomes.Table -1 Assessment Tools for Outcomes for the Engineering Technology Programs Engineering Technology Program Outcomes Assessment Tools a b c d e f g h i j k Advisory Committee X X X X X X X X Feedback Used to assess program objectives Course Assessment X X X X X X X X X X X Alumni Surveys Used to assess program objectives Capstone/Senior X X X X X X X
remainder of this paper as moreappropriate.Information fluency reflects the process of acquiring a proficiency by degrees, as part of anongoing process, where “fluency” is relative to the context in which performance occurs.Approximations of a second “language” must be practiced, as new proficiency is graduallyacquired. In the remainder of this paper, the authors use the words information fluency, ratherthan information literacy, to refer to a constellation of abilities in the use of information systems.We first: (a) refer to TAC of ABET accreditation Criterion 2 to demonstrate the process of faculty/librarian teamwork in a mechanical engineering technology information assignment, then (b) share examples of early
decision: a. Invite to apply with waived fees b. Invite to apply without waived fees c. Not invite to apply d. Conditional approval e. Decision PendingThe results indicated that 40% of the pre-applicants had been invited to submit an applicationwith fees waived and 19% had been invited without fees waived.See Figure 4. Figure 4: Decision DistributionThe time taken for a graduate coordinator to make a decision was calculated by taking thedifference between the date the pre-application was submitted and the date on which the decisionwas made, taking into consideration only working days and disregarding semester breaks. Theresults
. Fig. 1. Magnitude of the DFT of the (a) low pass and (b) high pass Haar wavelets.Application to a 1D SignalThe process of decomposing a 1-dimensional signal is first introduced to students in a digitalsignal processing course. The decomposition process is illustrated in Figure 2. Thereconstruction process is illustrated in Figure 3. As an example, consider the digital sequence √ √x[n] = {0, 1, 2, 3, 0, 1, 2, 3}. The two Haar wavelets are h0 [n] = {0, 0, 22 , 22 , 0, 0, 0, 0} and √ √h1 [n] = {0, 0, 22 , − 22 , 0, 0, 0, 0}. The flipped versions of these sequences are h0 [−n
skill and knowledge, S Satisfactory/Functional skills and knowledge, B Basic skills andknowledge, or N No skills or knowledge. In fact, the new scale is more successful in producingdifferentiated responses. Administering the survey each spring, with the assistance of the faculty Page 11.1166.6in senior level courses, ensures a good return rate.The ACI reviewed the instrument of this example relative to the criteria proposed by theNCHEMS. They determined that it satisfied at least two of the criteria that support use of selfreports of academic development. The outcomes measured by the instrument are broad basedoutcomes and the measures represent
-322.16. Mengel, S. (1994). Providing a Welcoming Environment to Make Mistakes. Proceedings of the 24th Frontiers in Education Conference.17. Black, S. (2003). Try, Try Again. Journal of Staff Development. 24:3, 12-17.18. Ivancic, K. and Hesketh, B. (2000). Learning from Errors in a Driving Simulation: Effects on Driving Skill and Self- Confidence. Ergonomics. 42:12, 1966-1984.19. Ziv, A., Ben-David, S. and Ziv, M. (2005). Simulation Based Medical Education: an Opportunity to Learn from Errors. Medical Teacher. 27:3, 193-199.20. Johnson, A. (2004). We Learn from Our Mistakes – Don’t We? Ergonomics in Design. 12:2, 24-27.21. Want, S. and Harris, P. (2001). Learning from Other People’s Mistakes: Casual Understanding in
correlated with students’qualifications at their point of entry into college. According to the study, the mean GPAs forAfrican-American (2.15), Hispanic (2.39), and non-minority (white) (2.67) engineeringgraduates were compared. The results were alarming. For non minority (white) students, 45%entered with a B+ average, and 33% graduated with a B+ average. For Hispanic students, thenumbers were 46% and 18%, respectively. For African-American students, however, thenumbers were significantly different. Thirty-seven percent of African-American students enteredwith a B+ average, but only 5% graduated with a B+ Average. In response to decreases in academic achievement for many minority students withinengineering undergraduate programs over time
. Plett and M. D. Ciletti, “Piloting a Balanced Curriculum in Electrical Engineering – Introduction to Ro- botics,” Proc. of the 2005 Amer. Soc. for Engin. Educ. Annual Conf. and Expos., June 2005.2. I. B. Myers and P. B. Myers, Gifts Differing, Consulting Psychologists Press, Palo Alto, CA, 1980.3. J. N. Harb, S. O. Durrant, and R. E. Terry, “Use of the Kolb Learning Cycle and the 4MAT System in Engineer- ing Education,” Journal of Engineering Education, Vol. 82, No. 2, April 1993, pp. 70–77.4. R. M. Felder and R. Bent, “Understanding Student Differences,” Journal of Engineering Education, Vol. 94, pp. 57–72, Jan. 20055. C. L. Dym, et al., “Engineering Design Thinking, Teaching, and Learning,” Journal of Engineering Education
Mellon University,” Proc. IEEE, vol. 83, pp. 1246-1269, Sep 1995[6] J.T. Bernhard, “Challenges and Strategies for Electrical Engineering Education,” ASEE / IEEE 1997 Frontiers in Education Conference, Session S4A, pp. 1459- 1462[7] M. Nahvi, “Developing Freshman-Year Experience in Electrical Engineering: Primary Functions and Possible Features,” Cal Poly[8] B. Farbrother, “New approach to electrical and computer engineering programs at Rose-Holman Institute of Technology,” presented at the 1997 ASEE Annu. Conf. Milwaukee, WI, June 1997, Session 2432[9] K. Scoles and N. Bilgutay, “ECE 21: A new curriculum in electrical and computer engineering,” Proc. 29th Annu. Frontiers in Education Conf., vol. 2
., Portsmore, M. (2005) “What do college engineering students learn in K-12 classrooms?: Understanding the development of citizenship & communication skills.” Paper presented at the ASEE Annual Conference & Exposition, Portland, OR.7. Gravel, B., Cunningham, C., Knight, M., Faux, R. (2005) "Learning through teaching: A longitudinal study on the effects of GK-12 programs on teaching fellows." Paper presented at the ASEE Annual Conference & Exposition, Portland, OR.8. Cejka, E., Rogers, C. (2005) “In-service Teachers and the Engineering Design Process.” Paper presented at the ASEE Annual Conference & Exposition, Portland, OR. Page
of oral and written communicationskills across and integrated laboratory sequence," Chemical Engineering Education, vol. 31, pp. 116-119, 1997.6 N. Van Orden, "Is writing an effective way to learn chemical concepts?," Journal of Chemical Education, vol. 67,pp. 583, 1990.7 Johnston, C.A., Let Me Learn, Corwin Press Inc., London, 1998.8 Pearle, K.M. and Head, L.M., “Using your Brain to Build Teams that Work: A Study of the Freshman andSophomore Engineering Clinics at Rowan University,” ASEE Annual Conference and Exposition, June 2002,Montreal, Quebec, Canada.9 Evans, D.L., McNiel, B. W., and Beakley, G. C., “Design in Engineering Education: Past Views of FutureDirections,” Journal of Engineering Education, 79, 4 (1990).10 Dym, C.L
0.56675 0.7042 1.0563 Feed (m/min) a) Process modeling results b) Relationship between forces and feed Figure 2. Turning process modeling with FEA3-axis CNC verification with VeriCutVeriCut is powerful CNC verification software, which detects errors and inefficient motionsin CNC programs. It is a very desirable teaching and learning tool for the manufacturingengineering technology program [13] . In another course named CAM/CNC programming,students in the VeriCut team had already received basic VeriCut training.In this project, the team were asked to build a HAAS VF-1 tool path
circuit changes when theycut the leads of the capacitor in the circuit and are often amazed by how the test setup can affecttheir results. Representative laboratory results are shown in Fig. 5. (a) (b) (c) Figure 5: Low-pass filter with a minimum 30-dB attenuation from 100 kHz to 100 MHz, (a) breadboard, (b) model, (c) data from spectrum analyzer. Page 11.516.9SummaryIn this paper, the initial steps in the development of an undergraduate program in high-speedelectronic design are presented. These include a
23.5%B 2 11.8%C+ 1 05.9%F 1 05.9%A: ≥ 90%; B+: 85 – 89%; B: 80 – 84; C+: 75 – 79; C: 70 – 74%; D: 60 – 69%; F < 60 The students performed well during the Fall 05. This performance wassignificantly better than the Fall ’04 term, where 50% of the class obtained C or lowergrade. According to the existing course description, the following ABET outcomes wereexpected to be satisfied by this course: • Outcomes 1: an ability to apply knowledge of mathematics, science and engineering • Outcome 2: an ability to design and conduct experiments, as well as to analyze
these mentors were either on campus doing their “school” rotation, or were out on a “work” rotation. 5. Each mentee was assigned a mentor based on gender and engineering curriculum of choice. NC State Engineering has 18 engineering majors. 6. The program was implemented in the E 101: Introduction to Engineering and Problem Solving course. All first-semester engineering students are enrolled in this course.Expectations: At a minimum two interactions were required for each mentor-mentee pair relatedto specific assignments in the E 101 course: 1. Resume Assignment (see Appendix A). 2. Plan of Study (Progress Toward Degree) (see Appendix B).Mentee Expectations (~1200 mentees were served by the program): 1. Initiate the
done through software.The motor drivers on the new system are TI TPIC0107-B Intelligent H-Bridges. Theseparts have a number of built-in safety features including current limiting cut-offs. Theyrequire direction logic in addition to the PWM signal for speed. The MSP 430 mustconvert the standard servo drive signal to the appropriate direction and power drive forthe motors. [12] Receiver 7.2 V Battery (CV1) (B1) Legend PWM Signal
must understand that their staff is always looking to you to set the course.You are their leader, the responsibility is yours. Page 11.324.12Bibliography The Associated Press. (2003). Coach known best for 1980 hockey gold. Retrieved 5/8/2005 from http://espn.go.com/classic/obit/s/2003/0811/1594173.html Bezilla, M. (1995). The coach as a fund raiser. Fund Raising Management, 26, 20-25. Retrieved 6/9/2003 from the Proquest Database. Biro, B. (1997). Beyond success: the 15 secrets to effective leadership and life based on legendary coach John Wooden’s Pyramid of Success. Hamilton, Montana: Pygmalion. Collier, G
two-phase flow pipe assembly was shown. Ademonstration running a two-phase flow of water and air was conducted, including discussion ofthe utility of computer interfaces and control valves. Students liked the demonstrations andasked a number of questions regarding the computer interface.6. Oral presentations After a lunch break, during which experiments continued, the students returned toconclude their experiments. Each group was asked to present the experimental observations/outcomes as a team. They were provided 10 minutes of preparation time. During this recess,they were also told that a) the presentation should be a group effort, b) all members should berespectful to other group members, and c) the audience should ask questions
Design Experience Using RPT,” ASEE 2004 Annual Conference.4 Dee, K.C. and Livesay, G.A., “First-Year Students Who Leave Engineering: Learning Styles and Self-Reported Perceptions,” ASEE 2004 Annual Conference.5 Besterfield-Sacre, Atman, and Shuman, “Characteristics of Freshman Engineering Students: Models for Determining Student Attrition in Engineering,” Journal of Engineering Education, April 1997.6 Sorby, S.A., and Baartmans, B.J., The Development and Assessment of a Course for Enhancing the 3-D Spatial Visualization Skills of First Year Engineering Students,” Journal of Engineering Education, July 2000.7 Peters, M., Chisholm, P., and Laeng, B., “Spatial Ability, Student Gender, and Academic Performance,” Journal of
well established. However, through their experience in the verticalintegration of lower-level Mechanical Engineering students into a senior Capstone designproject at the Virginia Military Institute, the authors have found that such verticalintegration yields significant educational and practical benefits, both to senior- and lower-level engineering students, beyond those realized from the traditional Capstone projectstructure.For senior students, those benefits include additional and frequent occasions by which tohone their written and oral communication skills, increased emphasis and reliance ontheir project management and leadership skills, and the opportunity to clarify and focustheir design concepts through their interaction with lower