activities, such as accessing the online module files. The frequency of students’ accessing of the files was tracked and analyzed. We were particularly interested whether the use of modules is more or less favored but “A”, “B” or “C” students.Results The results presented in this paper are categorized by the above information sources. User-interface analysis and usability testing. Page 23.415.12 In tune with the Learning Object Review Instrument (LORI), the six participants created reviewson eight broadly interpreted dimensions of quality. The themes on each dimension and students’supportive
andMotivations Survey as well as data collection and analysis outcomes of the subsequent phases ofour study will be topics of future publications.References1. NSF/NIH/USED/USDA/NEH/NASA. (2009). Survey of earned doctorates.2. Baker, S., Tancred, P., & Whitesides, S. (2002). Gender and graduate school: Engineering students confront life after the B. Eng. Journal of Engineering Education, 91(1), 41-48.3. National Science Foundation. (2012). Research in engineering education solicitation. Retrieved September 26 th, 2012 from http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503584.4. Finke, R. A., Ward, T. B., & Smith, S. M. (1992). Creative cognition: Theory, research, and applications. Cambridge, MA: The MIT Press.5
robotics course is a senior-level design-basedcourse dealing with robotic topics such as robotic kinematics, dynamics, robot controls andsensors. It is intended to enable students to design, control, and maintain robots and robotic-based systems. One of the course outcomes is to enable students to design and implement smallrobotics projects using laboratory robots, sensors and interfaces. This outcome is in line with theABET Criterion 3, student outcomes a, b, c, d, e, g, and k 14. The robotics laboratory curriculumincludes hands-on experiences where students design, build, and control various robots.Programming of industrial robots is accomplished with industrial grade robots extensively usedin automation for material handling applications. In
and CraftsArts and Crafts were covered from Jun. 11 to Jun. 29. The educational objectives includedgeometry, shapes, system of measurement, artistic imagination and critical thinking. Using theart of Paper Mache, students were introduced to shapes, primary and secondary colors, artisticimagination and critical thinking. When designing the Marshmallow Catapult and Popsicle StickHouse students were also introduced to some construction technology such as the housefoundation and the general structure of a building. They also used clay to explore theirimagination. Page 23.696.7 Figure 1 Arts & Crafts Activities: (a) Clay Work, (b) Popsicle
sparked their interest. Then there was a largegroup discussion on these careers. The final question for this section was: How would you sharewith students about what you have observed in these exercises?Big Idea 4: Success in mathematics and science is not based on innate ability. The objective ofthis section was to dispel stereotypes about math and science achievement. Though brief, thiswas the weakest portion of the workshop that needs further refinement. Almost through with theworkshop, this exercise invited the participants to get out of their seats to stretch a bit. Thefacilitator designated three areas of the room as A, B, or C, and posed statements shown in Table5
23.1180.2on participants including (a) higher achievement and improved productivity, (b) more caring,supportive and committed relationships, and (c) greater psychological health, social competenceand self-esteem. Furthermore, they propose that the reasons for these positive results are basedon working relationships where participants can supplement each other‟s weaknesses or gaps inknowledge and skills 9. Marra and Bogue 9 also found that participants were able to combinetheir knowledge, experience and expertise to create a new understanding of problems in order tohelp each other achieve a desired goal. This collaborative partnership philosophy describes therelationship between the Women in Engineering programme director and an educationalassessment
, teamwork and other professionalskills, and are forced to learn “on the job.”2,11-13 Skills outlined by ABET criteria further reflectthe necessity for integrating such attributes in engineering education, including: (a) an ability toapply knowledge of mathematics, science, and engineering; (b) an ability to design and conductexperiments, as well as to analyze and interpret data; (c) an ability to 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) an ability to function on multidisciplinary teams; (e) an ability to identify, formulate, andsolve engineering problems; (f) an understanding of
. The authors will beaddressing this issues in the future iterations of this project by allowing several students with samemajors contributing to the same group.One of the challenges of practicing engineering is the ability to research and find appropriate technologyto meet the needs of the task at hand. Overall, the realworld project addressed several AccreditedBoard for Engineering and Technology (ABET) criteria for student outcomes, specifically, (a) an ability to apply knowledge of mathematics, science, and engineering; (b) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economics, environmental, social, political, ethical, health and safety
questionsincluded in the pre-experience survey.The post-experience survey was deployed at the end of July, at the conclusion of students’ Page 23.599.2summer research experience. This second survey repeated several of the questions from the pre-experience survey, which allowed us to compare students’ expectations with their experiences,and look for changes in students’ self-assessments of research skills over the 10-week program.Students were also asked about their interactions with their research mentors and the personaland professional outcomes of their summer experience. Appendix B includes a copy of the post-experience survey questions.About 160
. Therefore, it appeared that students were able to grasp the basic concept of the two’s complement number representation, but more practice and feedback needed to be provided to ensure that students fully understood the concept. Changes will be made to future offering of the course to address this issue. Two's Complement Exam Items 100% Class A 90% Class B 80% Percentage Correct 70
. a) b)Figure 3. a) A model of the bridge constructed of chain and metal segments exaggerates the motion of thebridge. b) When a visitor twists and pulls down on the center span area, the resulting torsional vibrationmode mimics that caused by the wind. (credit: S. Lani (a) R. Reitherman (b))Tracking the Daily Movement of the Bridge – This exhibit is not currently installed. In 2013 itwill be installed at base of the bridge and at the nearby Exploratorium discovery museum. AGPS device at the center span of the Bridge tracks its movements. This GPS signal is capturedand plotted for visitors. Figure 4a shows the cyclical up and down movement of the bridge eachday as it expands and contracts
) but low at Formal #1. Table 3: Student ratings for enjoyment (Largest percentages at each site highlighted in green) Formal #2 Formal #1 Informal #2 Informal #1 (n=67) (n=135) (n=165) (n=48) A+ 54% 33% 64% 56% A 18% 19% 18% 17% A- 9% 15% 7% 17% B+ 4% 12% 3% 2% B
variables, self-efficacy and respectivelyperformance outcome.Notes: Significance of Standardized Path Coefficients * p < .05; ** p < .01; 1 Squared Multiple Correlations (explained variance); Figure 3. Path Coefficients for the proposed model of GIS LaboratoryGoodness-of-Fit MeasuresAll major goodness-of-fit statistics recommended in the literature (35, 36) indicated a good fitfor the proposed models, as follows: a) Goodness-of-fit index, GFI = .99, and adjusted-goodness-of-fit, AGFI = .95, are equal or higher than .95, b) Comparative fit index, CFI = .99, higher than .95, the recommended value, and c) Root mean square error of approximation, RMSEA = .02, smaller than .06, a value
geographical area. The work presented here is a good indicator that thestrategy does work on a group with these characteristics.III. Strategies and ImplementationThe summer accelerator program has evolved over the three years in the number of hoursallocated to math activities. However, the three camps have in common the following strategies:a) Recruitment of students giving priority to students with low grades in previous math classes;b) Pre-test used to categorize students according to their level of math and to arrange studentgroups that are at a similar level;c) Individualized study plans for each participant and usage of a problem-generator software thatincludes video and tutoring capabilities;d) Low student/instructor ratio per class;e) Freedom
Paper ID #6667Am I a Boss or a Coach? Graduate Students Mentoring Undergraduates inResearchMs. Janet Y Tsai, University of Colorado at Boulder Janet Y. Tsai is a doctoral student at the University of Colorado, Boulder, whose work examines and develops initiatives to encourage more students, especially women, into the eld of engineering. Currently, Tsai’s research focuses on understanding the dynamics of how status and prestige are constructed among novice engineers.Dr. Daria A Kotys-Schwartz, University of Colorado Boulder Dr. Daria Kotys-Schwartz is the Design Center Colorado Co-Director and an Instructor in the
scholarship and participates in professional development and enrichment programs. The faculty mentors Page 23.942.5 assist the students in preparing for the phase 2 SIIRE Scholarship Application. This is illustrated as Milestone B in Figure 1. The focus of the full application is on ensuring that the student is a candidate for graduate studies. The scholarship application includes reflective statements from the students based on their experiences in the enrichment activities and previous summer co-op experience. This reflective statement is a key component in assessing the student’s eligibility for continued support through graduate
of thejoint angles are used to place the robotic gripper to the desired position and orientation so thatthe object at the pre-specific location and orientation can be picked up.The Granular Jamming Gripper (a) (b) (c)Figure 3 - Granular Jamming Gripper Figure 4 - Vacuum Motor and Mechanical RelayThe main idea of the granular jamming gripper is to switch an elastic bag containing granularmaterial between a deformable (with air) state and rigid (without air) state by applying a vacuum.With air, the granular material can flow around an object and conform to
Page 23.36.6FPGA VIThe other component to be implemented in software was the FPGA based data acquisition.Quadrature encoders were used to get cart position data. The logic used to collect encoder datafrom the VI running on the RIO card is presented in the block diagram of Fig. 5 and the entireblock diagram of the VI implemented on the FPGA is provided in Fig. 6.Figure 5: FPGA VI block diagram part for reading quadrature encoder dataThe block diagram in Fig. 5 reads current encoder register outputs, compares it to a previousvalue for each register to update encoder shaft direction and increment or decrement the positionvalue. The FPGA VI exists inside a while loop that runs continuously while the host PC VI isrunning. The encoder A and B signal
, loops, and arrays are introduced without relying on any specific programming language. Thestudents used RAPTOR programming to achieve these objectives. Examples of few of these exercisesare presented below:Example 1 - Write a program to determine the real roots of a Quadratic Equation (we will discusscomplex roots in another program): ax2 + bx + c = 0. User Inputs: a, b, and c; Program Outputs: Root1and Root2; Equation to be used: . Program addresses division by zero and testedwith a=1, b = 3, c=1. For a = 1, b = 3, c = 1, the roots are Root 1 = - 0.3812 and Root 2 = -2.618. Figure4 below shows the C programming language solution and Figure 4 shows solution using RAPTOR
Paper ID #7492Experience with Mentoring and Directing Graduate Student Research at aDistance in a Mechanical Engineering ProgramDr. Vincent Capece, University of Kentucky Vincent R. Capece is an Associate Professor of Mechanical Engineering. Dr. Capece received his B.S. degree in Mechanical Engineering from Tennessee Technological University in 1980, M.S. in Mechanical Engineering from MIT in 1982, and Ph.D. from Purdue University in 1987.Dr. John R. Baker, University of Kentucky John R. Baker is an Associate Professor of Mechanical Engineering at the University of Kentucky Ex- tended Campus Program in Paducah, KY. He
Paper ID #6966Development of a Civil Engineering Capstone Design Course for a New Pro-gramDr. David A Saftner, University of Minnesota DuluthMs. Sara D. Ojard, University of Minnesota DuluthDr. Eshan V. Dave, University of Minnesota, DuluthDr. Nathan William Johnson, University of Minnesota DuluthProf. Eil KwonDr. Rebecca Teasley, Civil Engineering University of Minnesota Duluth Page 23.411.1 c American Society for Engineering Education, 2013 Development of a Civil Engineering Capstone Design Course for
positive correlations) • Total concepts and map density (moderate to strong negative correlations) • Total links and map complexity (moderate to strong positive correlations)In each of these cases, the direction/sign of the correlation is as expected; for example, as thenumber of total concepts increases, we expect map density (L ÷ [C × (C − 1)]) to decrease, asconfirmed by the negative correlation we observed.Several interesting correlations can also be seen in Table 2, including (a) the moderate positivecorrelations between map complexity and the total number of cross-links, and (b) the strongpositive correlation between the total number of concepts and the concepts used from the list. Inthe latter case, it is clear that most
Principles to Middle and High School Students Through the Design, Construction, and Deployment of water quality sensors,” Advances in Engineering Education, Summer 2012, pp. 1-34.9. Glasgow, H., Burkholder, J., Reed, R., Lewitus, A., and Kleinman, J., 2004. “Real-time remote monitoring of water quality: a review of current applications, and advancements in sensor, telemetry, and computing technologies,” Journal of Experimental Marine Biology and Ecology, Vol. 300, No. 1-2 (Mar 2004): 409-448.10. Toran, F., Ramirez, D., Navarro, A., Casans, S., Pelegri, J., et al., 2001. “Design of a virtual instrument for water quality monitoring across the Internet,” Sensors and Actuators B: Chemical, Vol. 76, No. 1-3 (Jun 1, 2001
teach ethics. Journal of Business Ethics, 67(4), 421-433. 13. Newberry, B. (2004) The dilemma of ethics in engineering education. Science and Engineering Ethics. Vol.10, pp. 343-351. doi: http://dx.doi.org/10.1007/s11948-004-0030-8 14. Pilant, J. (2010, August 17). [Using film to teach business ethics]. Retrieved from http://southwerk.wordpress.com/2010/08/17/using-film-to-teach-business-ethics/ Page 23.1193.1115. Riley, D., Ellis, G., & Howe, S. (2004). “To move people from apathy: A multi-perspective approach to ethics across the engineering curriculum. In Proc., American Society for Engineering
demanding, to achieve it all in one single three credit course. Thisbecomes clearer when described in the context of the taxonomy for educational objectivesprepared by Anderson et al.7. They use a 2 dimensional noun-verb matrix to identify the level ofa given objective, in terms of the required knowledge (A. Factual; B. Conceptual; C. Procedural;and D. Meta-Cognitive) and cognitive process (1. Remember; 2. Understand; 3. Apply; 4.Analyze; 5. Evaluate; and 6. Create). The higher alphanumeric value represents a higher level ofcomplexity7. The mapping for our course is as follows: High School course to levels (A and B,6); Undergraduate course to levels (B and C, 5 and 6); and Graduate course to levels (C and D,3). A business team to be successful, our
. This is a new, highly focused way of selling (thinkrifle hunting versus shotgun hunting) that has plenty of room for optimization and furthercollaboration. What criteria should manufacturers and distributors use to select segments thatcould be focused on jointly, and how can the two sides best work together to leverage eachother’s investment in this activity to improve their mutual results?Topic 2 - The Usefulness of Business-to-Consumer (B-to C) Techniques in what is AlmostExclusively a Business-to-Business (B-to-B) EnvironmentProject Champions: Senior VP Americas and Director of MarketingTraditionally, distributors and manufacturers have practiced B-to-B marketing techniques tobuild and maintain their brands, introduce new products and
1st Class 8th Class 3 2 1 A B C D E F G H I J K L M N O P Q R S T U V StudentFigure 7. Reviewer 1 scores of the sketches of the pipe fitting drawn in the first and eighthclasses (1= poor, 7=excellent). Scores for 15 students improved (green), 3 decreased (red), and 4stayed the same. 7 6 5 1st Class Score 4 8th
ASEE Annual Conference, AC2011-22529. A. Orange, W. Heinecke, E. Berger, C. Krousgrill, B. Mikic, and D. Quinn, An Evaluation of HigherEd 2.0 Technologies in Undergraduate Mechanical Engineering Courses, ASEE Advances in Engineering Education, Winter 201210. J. Herold, T. Stahovich, H. Lin, and R. C. Calfee, The Effectiveness of “Pencasts” as an Instructional Medium, Proceeding of the 2011 ASEE Annual Conference, AC2011-2253 Page 23.1115.5
to lack of a control group, this belief cannot be confirmed by the current study.Bibliography1. B. Ferri and J. Auerbach, Work in Progress - A Program to Incorporate Portable Labs Into Lecture- Based Electrical and Computer Engineering Courses, 40th ASEE/IEEE Frontiers in Education Conference, October 27 - 30, 2010, Washington, DC.2. A. Niemi, In-Class Circuits: Using Passive Components to Create Active Learning, Proceedings of the 2008 ASEE Annual Conference, June 22-25, 2008, Pittsburgh, PA.3. C. H. Forsberg, A Demonstration Unit to Enhance Heat Transfer Lectures on Natural and Forced Convection, Proceedings of the 2003 ASEE Annual Conference, June 22-25, 2003, Nashville, TN.4. A. Gilat, Matlab - An
Paper ID #6235Industry engagement in a manufacturing simulation courseDr. Ali Alavizadeh, Indiana University Purdue University, Fort Wayne Dr. Ali Alavizadeh is an Assistant Professor in the MCET Department at Indiana University-Purdue Uni- versity (Fort Wayne, Indiana). He has taught at the George Washington University (Washington, DC), and Morehead State University (Morehead, KY) in the fields of Engineering Management and Systems En- gineering and in Industrial and Engineering Technology, respectively. His industrial experiences include enterprise architecture, systems analysis, and software engineering for private