Education. Cambridge: Harvard University Press.8. Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational Researcher, 18, 32-42.9. Duit, R. (1995) The constructivist view: A fashionable and fruitful paradigm for science education research and practice, In L. P. Steffe & J. Gale (Eds.). Constructivism in education. Hillsdale, NJ: Lawrence Erlbaum Associates.10. Greeno, J. G., Collins, A. M., Resnick, L. B., (1996). Cognition and learning. In Berliner, D. C. & Calfee, R. C. (Eds), Handbook of Educational Psychology. New York: McMillan.11. Barell, J., (1998). Problem-based learning: An inquiry approach. Arlington Heights: Skylight Training and Publishing
thatarrests material degradation in a galvanized metal (theoretical knowledge) but have never seen apart being galvanized.Now a more mathematical definition of competency is proposed. It enhances the previousdefinition, and re-expresses it by the formula: z z Competency = ( skill )dB ( knowledge)dBwhere the variable of integration, B, represents breadth of different fields. This implies that truecompetency is composed of skill and knowledge in a multiplicity of subjects. This relationshipcan be represented graphically with a vehicle that captures the mix of skill and knowledge ineach of the topics covered. In other words, a competent individual has a unique mix of both
the most accessible part of the P 3 F for the benefit ofthe study, but because the subject did not make specific references to the framework it is difficult todetermine if that was indeed the case. The observed behaviors also confirmed several aspects ofSubject A’s novice-oriented view of herself.Subject B Results Subject B was male, a junior Computer Science major who had not yet taken CSC326 (SoftwareEngineering), and was not taking the class during his participation in this study. He had noprofessional experience in software development and had not taken any advanced Computer Scienceelective courses. Subject B agreed or strongly agreed with eleven of sixteen novice-oriented self-assessmentstatements across all four observation
25.1456.6 Panel lying horizontally, then (3) and . Case b) Panel standing vertically, and looking to the equator, ; (4) Case c) Panel standing vertically ( ), and looking to the east ( ), (5)Therefore all three cases are satisfied by the equation: (6)The angle between a line
.4 Student evaluations from the first three semesters of EPICS showed Page 25.554.2significant promise in service learning as a vehicle to address the soft skills of engineering.Students were asked the impact the EPICS program had on their communication skills, ability towork on a team, awareness of ethical issues, organizational techniques, and awareness ofcommunity. The percent of students rating the impact of these areas with an A or B graderanged from 84% - 93%, with the exception of ethical issues which only received 73% A’s orB’s. In a 2005 paper on the continued success of the EPICS program, the reported results offifteen semesters
keybased partial fingerprint selection.AcknowledgementPortions of the research in this paper use the CASIA-FingerprintV5 collected by the ChineseAcademy of Sciences' Institute of Automation (CASIA).References[1] M. Wadman (1999). Biometrics group counters privacy fears. Nature, 398(6727): 451.[2] B. Schneier (1999). Inside risks: The use and abuse of biometrics. Communications of the ACM, 42:136.[3] J. Grijpink (2005). Two barriers to realizing the benefits of biometrics: a chain perspective on biometrics andidentity fraud as biometrics' real challenge. Computer Law & Security Report, 21(2): 138-145.[4] M. Bronstein & A. Bronstrein (2002). Biometrics was no match for hair-raising tricks. Nature, 420(6917): 739.[5] I. Buhan & P. Hartel
keybased partial fingerprint selection.AcknowledgementPortions of the research in this paper use the CASIA-FingerprintV5 collected by the ChineseAcademy of Sciences' Institute of Automation (CASIA).References[1] M. Wadman (1999). Biometrics group counters privacy fears. Nature, 398(6727): 451.[2] B. Schneier (1999). Inside risks: The use and abuse of biometrics. Communications of the ACM, 42:136.[3] J. Grijpink (2005). Two barriers to realizing the benefits of biometrics: a chain perspective on biometrics andidentity fraud as biometrics' real challenge. Computer Law & Security Report, 21(2): 138-145.[4] M. Bronstein & A. Bronstrein (2002). Biometrics was no match for hair-raising tricks. Nature, 420(6917): 739.[5] I. Buhan & P. Hartel
.11 After individual analysis, theresearchers came together to identify themes and correlate results in order to establish inter-raterreliability.Results and DiscussionThe results of the grounded theory approach to analyzing the focus group responses producedeight disparate themes including; (a) informal mentoring, (b) makes learning fun (c) timemanagement (d) application of math and science, (e) feelings of accomplishment, (f) buildsconfidence, (g) comradery, and (h) exposure to new opportunities. Each emergent theme isdiscussed in more detail below.A. Informal MentoringIn the analysis of collected data from the focus groups a surprising theme emerged. Participantstalked more about their roles as mentors in informal mentoring settings as
two simple, yet important, questions, “Are parentsaware of engineering education? What do they think about engineering learning in classroomsfor their children?” The answers to these questions will help researchers, educators andpolicymakers in considering the role that parental involvement plays in motivating studentstowards engineering. The following research questions guided this study: a) Are parents aware of the inclusion of engineering learning activities in any P-12 classrooms? b) Are parents interested in receiving any information regarding engineering education for their children? If yes, by what means do they prefer to receive that information
Class of Class of 2014 2013 2012 a b (0 years) (1 year) (2 years)c Pairwise Factor† M SD M SD M SD F(2, 90) contrast Self-Efficacy 6.51 1.98 7.89 1.04 8.22 1.58 9.84 0<1=2 Motivation 8.29 0.99 7.80 1.11 8.13 1.65 1.50 0=1=2 Outcome Exp. 6.63 1.92 7.98 1.13 8.27 1.51 9.64 0<1=2 Anxiety 3.95 2.56 2.51 1.74 3.02 2.37 3.67 0>1 Note. Total sample sizes
conceptual instruction and assessment so that many morechemical engineering faculty will incorporate concept-based learning into their classes.The specific objectives of this project are to:1. Develop the AIChE Concept Warehouse, a flexible database-driven website for conceptual questions in the core chemical engineering sciences. Features of the AIChE Concept Warehouse include: a. Making concept questions available in different formats to facilitate widespread use. b. Allowing integration of questions within a course and from different courses so students can link concepts to one another and form a more cohesive cognitive structure. c. Populating the site with conceptual questions that are submitted and reviewed by faculty, and
traitsthe biometric system requires? Are minorities disadvantaged in biometric applications? Theintellectual significances of this paper are: (a) to discuss social and ethical consequences ofbiometric technologies, and (b) to increase public awareness of potential violations of privacy,security, civil and human rights that may have not been fully addressed yet by lawmakers. Thefindings of this paper have been successfully incorporated in courses related with engineeringethics and technology ethics at a senior level and graduate level. Results of theseimplementations are presented.Biometrics Fundamentals Human beings have unique physical and behavioral attributes that can be used forauthentication purposes. Authentication is a process that
apredominantly African American incorporated city with its own government and with a povertylevel higher than the national average; while Neighborhood B is a predominantly white non-incorporated suburban community within the greater metropolitan area with a poverty levellower than the national average.Research ApproachThe first aim of our research project was to identify civil engineering factors that could influencethe rates of obesity in the two targeted neighborhoods. To identify such factors, the chain ofevents leading to obesity had to be inferred, and the root civil engineering causes determined.Although little information directly correlating civil engineering factors with obesity levels could
ofremote laboratories applications for electronic circuit’s measurements. For instance, in [12] aremote lab is developed for recording the amplitude characteristics of a T-notch filter,Recording diode I/O characteristics, recording input and output characteristics of PNP andNPN transistors, Recording characteristic of A and B class amplifiers, recording RC filterscharacteristics, and measuring circuits with operational amplifiers (adder, subtractor). In [15]a remote lab is developed for running experiments on a normal BJT common emitteramplifier circuit, while maintaining the possibility for the students to use a wide range ofdifferent setups.Control and monitoring: In this type of applications the object under control (the experiment)is
responded.The inaugural Mentoring Program occurred during the fall 2010 semester, the first timeFundamentals was taught, with 48 students in two sections. The fall 2010 MP was a learningexperience for the faculty as well as for the students. The students contacted their mentors viaemail with specific questions three times during the semester. There was a four-week intervalbetween emails.The first email served essentially as an ice-breaker: 1. Introduce yourself as a student in Civil Engineering Fundamentals. 2. Ask your Mentor the following questions. a. How did you choose engineering as your undergraduate major in college? b. Do you find that you undergraduate engineering education prepared you
interactive discussion. Avariety of activities helps maintain interest and allows for differing modes of assessment.Assessment in the course consists of a combination of Pass or Fail (PF) checks balancedwith fully graded work. The PF category includes: a) study guide question responsesassociated with required readings, videos or lecture notes, b) reflective writing inresponse to a specific prompt, and c) completion of steps associated with a mini-experiment or mini-project. PF assessment facilitates instructor time-management, whileproviding sufficient incentive for students to participate. The instructor can apply a strictor more lenient quality control filter on submitted work, as appropriate. Failed work canbe returned to students with feedback on
). Introduction to Electrical Engineering. Prentice Hall.5. Vahid, F. (2006). Digital Design. Hoboken, NJ: Wiley, John & Sons, Incorporated.6. Brown, S. & Vranesic, Z. (2009). Fundamentals of Digital Logic with VHDL Design. McGraw Hill Higher Education.7. Wakerly, J. F. (2006). Digital Design: Principles and Practices. Upper Saddle River, NJ: Pearson Prentice Hall.8. Givone, D. D. (2003). Digital Principles and Design. McGraw Hill.9. Marcovitz, A. B. (2008). Introduction to Logic and Computer Design. McGraw Hill Higher Education.10. Hwang, E. O. Digital Logic and Microprocessor Design with VHDL. Toronto: Thomson, 2006.11. Herman, G. L., Zilles, C., & Loui, M. C. (2011). Flip-flops in students' conceptions of state. IEEE Transactions
shown in Appendix A. An example of what an Assessment Bar Chart may look like is shown inAppendix B. The author chose to assess seven categories that he considered important inthis study. Likert scale analysis was carried out and mode values have been plotted onthe x-axis. Referring to the bar chart shown in Appendix B, one can draw these conclusions. None of the characteristics observed scored the maximum possible likert scalescore of 5. We should also point out the fact that none of the characteristics observedscored the minimum possible likert scale score of 1. A likert scale score of 4 was recorded for the following: • Providing Feedback to Students • Course Objectives, Skills and
Page 25.987.8grade they deserve.However, if you do grade simply on instructor intuition, we offer a cautionary note. If we hadnot spent one semester relying solely on the grade sheet, our instructor intuition would have notmatured. As a result, we probably would have had an abundance of grades in the middle of thegrading spectrum. Without the cut sheet as a reference to fall back to, the assessment of studentlearning may tend to become diluted placing everyone in the C+-to-B+ range.So the summation of our experience regarding first term instructor grading comes down to twopoints. First, trust your intuition but be aware that grades tend to pile up in the B/C range if thatis all you do. Second, balance your intuition off of a cut sheet or
asSLO 3 and SLO 11 in the figures) are listed below respectively: 1. Student learning outcome c (SLO 3) a. Carries out design process (such as concept generation, modeling, evaluation, iteration) to satisfy project requirements for thermal and/or mechanical systems. Page 25.222.4 b. Works within realistic constraints, (such as economical, environmental, social, political, manufacturability, health and safety, ethical, and sustainability) in realizing systems. c. Builds prototypes that meet design specifications. 2
‘Why is B wrong?’ Make it a classroom wide discussion to correct misunderstandings and reaffirms the answer. • A picture is worth a thousand words. Show histograms from the individual vote and the post discussion vote together especially when they show great improvement. The first time the students see the effectiveness of their discussions, they will be amazed and motivated to continue in peer discussion. [1][10]4.2 Pitfalls to Avoid Based on the experiences presented in this paper, the following recommendations aresuggested: • Because the concept quizzes were only graded based on participation, it was tough to avoid students who would “just click in” to get credit rather than spend time really
at Michigan State University strives for its graduates toacquire the abilities and attributes listed below by integrating the knowledge and skills acquiredin a diverse set of courses, through the culture of the program, and the attitude of the programfaculty. a. Apply the knowledge of basic mathematics, science, and engineering b. Design and conduct experiments, as well as analyze and interpret data c. Design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability d. Function on multidisciplinary teams e. Identify, formulate, and solve engineering problems f. Understand
Section Conference. 2. Elzarka, H., Suckarieh, G., and Uwakweh, B. (2002) “Redesigning the Senior Construction Management Capstone Courses at the University of Cincinnati,” ASC Proceedings of the 38th Annual Conference. 3. Catalano, G. (2004) “Senior Capstone Design and Ethics: A Bridge to the Professional World,” Science and Engineering Ethics, 10, 2. 4. Mills, T., and Beliveau, Y. (1999) “Vertically Integrating a Capstone Experience: A Case Study for a New Strategy,” Journal of Construction Education, 3, 3. 5. Padmanabhan, G., and Katti, D. (2002) “Using Community-Based Projects in Civil Engineering Capstone Courses,” Journal of Professional Issues in Engineering Education and Practice
Director (GD) 3. Graduate Coordinator (GC) B. Icebreaker Activity – to be determined C. Overview of the learning objectives -“Why am I at Orientation?” D. Overview of Orientation – “What will we be doing today?” - Material: printed schedules II. Introduction to the department: will last approximately an hour A. GD – What students need to accomplish (i.e. department learning objectives) B. GC and Current Students (CS) – discuss the major milestones - Material: printed handout C. Activity: Build you timeline - Material: paper, markers, etc. III. Overview of research Community and Professionalism: will last approximately an hour
, New Jersey, U.S.A.: Prentice Hall.3) Bloom, B. S., & Krathwohl, D. R. (1956). Taxonomy of Educational Objectives, Handbook I: The Cognitive Domain. New York, NY, U.S.A.: David McKay Co. Inc.4) Dziegielewski, B., Kiefer, J. C., Opitz, E. M., Lantz, G. L., Porter, G. A., (2000). Commercial and Industrial End Uses of Water. Washington, DC: American Water Works Association.5) Oertel, H., Prandtl, L. (2004). Prandtl’s Essentials of Fluid Mechanics. Boehle, M., Mayes, K., (Eds.). New York, NY: Springer.6) Calvert, J. B. (2003). Turbines. In Tech Index, University of Denver. Retrieved from http://mysite.du.edu/~jcalvert/tech/fluids/turbine.htm#Refs
(b) Use activity-based guided-inquiry curricular materials (c) Use a learning cycle beginning with predictions (d) Emphasize conceptual understanding (e) Let the physical world be the authority (f) Evaluate student understanding (g) Make appropriate use of technology (h) Begin with the specific and move to the generalIdentifying Critical engineering Concepts and Misconceptions Misconceptions related to heat, energy and temperature are widely recognized in the literature(Carlton, 2000; Jasien and Oberem, 2002; Thomas et al., 1995; Sozbilir, 2003). This study focuses onfour targeted concept areas related to heat transfer that were
of a statistical test ofsignificance.The first desired outcome was for students to understand the definition of sustainabledevelopment, the concept of life cycle stages, and the steps and environmental processesincluded in life cycle assessments (Fink’s “foundational knowledge”6). Comparison of thebefore and after survey results (Figure 1, Appendix question 1) indicates a significant increase in Before After a. I can define the term "product life cycle". b. I can list most of the stages in the life cycle of a product that I use every day (e.g., something in my backpack or home). c. I can define the term
the laboratory notebooks. The notebooks are intended to contain allideas and notes over the course of the project and provide evidence of the models that studentteams use as well as their model progression and the strategies that they consider. This source iscomplemented by the written assignments and the experimental records from the virtuallaboratory database. These latter sources serve to confirm, explain or expand upon the notebookcontent.“Think-Aloud” Protocol AnalysisTwo teams, labeled Team A and Team B, were observed and audio recorded for the completeduration of the project, which represents 15.3 and 9.5 hours of recorded work, respectively.During this time, students were instructed to verbalize their thoughts but were not encouraged
byElectrical Engineering and Physics majors.We first introduced “Equations in Words” in our courses as part of homework or in-classproblem packets. We showed students an example of an equation in words to clarify theexpectation that they were not to do a literal translation symbol by symbol but that they had tothink about the physical meaning of the equation. A typical “Equations in Words” problem fromthe Waves unit in Classical Physics II is shown below: Consider the following equation: ∆L = 𝑛 + 1 2 𝜆 n = 0, 1, 2, 3, … a) This equation applies to: b) The variables and their units are: ΔL n λ c) Explain the equation in your own words: d) Draw
Figures 1-a and 1-b. The student will distinguish how changes in geometry, in this case represented by theincrease in the angle β, produce an increase in the reactions and the internal forces of the system(Figures 1-a and 1-b). Note that shear in the beam undergoes an increase in the order of 5 timesand the flexural moment in the order of 3 times due to changes in the angle.While the course presents methods ofanalysis, it is also introducing designconcepts implicit in it. The studentwill understand the importance oftaking into account the geometry of thesystems to perform an efficient design.The instructor will provide and showthe students the graphic resultsobtained with the program.Problems 1-a and 1-b can be extendedto study issues related