-446.4. DeMarco, T. 1982. Controlling software projects: management, measurement & estimation. Yourdon Press, New York, NY.5. Humphrey, W. S. (1988). Characterizing the software process: a maturity framework. Software, IEEE, 5, 2 (March/April, 1998), 73-79.6. Kaner, M., and Karni, R. 2004. A capability maturity model for knowledge-based decision-making. Information, Knowledge, Systems Management, 4, 4 (December, 2004), 225-252.7. Keller, K., and Mack, B. 2013. Maturity Profile Reports (March 2013). Retrieved May 17, 2013 from http://cmmiinstitute.com/assets/presentations/2013MarCMMI.pdf.8. Kitson, D., and Masters, S. 1992. Analysis of SEI Software Process Assessment Results 1987-1991, Technical Report
module [3]. Software metrics proposed more maintenance than others, even before system isand used for procedural paradigm have been found inadequate completed [2]for object-oriented software products [1]. The word syntacticreflects to what extend we can use source code syntax to B. Semantic metricsestimate some quality attributes. In [12] quality is defined asthe degree to which a product is bug-free. Traditional syntactic metrics discussed above reflect howIn this point it is important to say that the use of pre
Criterion 3 StudentOutcome (a): “An ability to apply knowledge of computing and mathematics appropriate to the Page 24.343.8discipline.” Questions 1.15 and 1.16 directly assess Student Outcome (b): “An ability to analyzea problem, and identify and define the computing requirements appropriate to its solution.”Questions 1.5 and 1.6, as well as questions 1.17 and 1.18, are related to Student Outcomes (c)and (i), which are “An ability to design, implement, and evaluate a computer-based system,process, component, or program to meet desired needs” and “An ability to use current techniques,skills, and tools necessary for computing practice” respectively
3, 43% of studentsreceived a score of over 90 (an “A”), while 29% of the students received a score in the range of 80-90(a “B”). Therefore, a total of 72% of the students in the class displayed good or excellent performance inlearning the course materials. 14% 60-70 43% 14% 90-100 70-80 29% 80-90 Proceedings of the 2014 American Society for Engineering Education Zone IV Conference
. Paper presented at: American Society for Engineering Education (American Society for Engineering Education).2. Psacharopoulos, G. (1972). Rates of Return to Investment in Education around the World. Comparative Education Review 16, 54-67.3. Bigliardi, B., Petroni, A., and Dormio, A.I. (2005). Organizational socialization, career aspirations and turnover intentions among design engineers. Leadership & organization development journal 26, 424-441.4. Cowen, T. (2013). Average Is Over: Powering America Beyond the Age of the Great Stagnation (Penguin).5. Murray, C. (2013). Coming Apart: The State of White America, 1960-2010 (Random House Digital, Inc.).6. Kaus, M. (1995). The end of equality (Basic Books).7
Environmental & Science Education, vol. 3, pp. 193-206, 2008.[13] J. Shimazoe and H. Aldrich, "Group Work Can Be Gratifying: Understanding & Overcoming Resistance to Cooperative Learning," College Teaching, vol. 58, pp. 52-57, 2010.[14] I. E. Harel and S. E. Papert, Constructionism. Ablex Publishing, 1991.[15] L. B. Resnick, Knowing, Learning, and Instruction: Essays in Honor of Robert Glaser. Lawrence Erlbaum, 1989.[16] J. Hennessy, N. Jouppi, S. Przybylski, C. Rowen, T. Gross, F. Baskett and J. Gill, "MIPS: A microprocessor architecture," in Proceedings of the 15th Annual Workshop on Microprogramming, Palo Alto, California, United States, 1982, pp. 17-22.[17] Digilent Nexys2 Spartan-3E FPGA Board http
Institutional Change. Her research interests include image compression and image processing, with a focus on developing video compression algorithms to allow for cell-phone transmission of American Sign Language. She was awarded a National Science Foundation Young Investigator Award, a Sloan Research Fellowship, and the 2006 Hewlett-Packard Har- riett B. Rigas Award. She is a Fellow of the IEEE.Dr. John B. Schneider, Washington State University John Schneider is the associate dean for undergraduate programs in the College of Engineering and Ar- chitecture at Washington State University (WSU) and a faculty member in WSU’s School of Electrical Engineering and Computer Science (EECS). He has taught courses ranging from
an object-oriented system. Figure 1 - Example UML Class DiagramOf course, she could not see a UML diagram. Therefore, there were several major problems thathad to be overcome: a) helping her to understand what the diagrams normally convey visually, soshe can understand what the diagrams teach about program structure, b) providing a way torepresent a UML diagram that she could both read and produce, and c) providing a way for herto participate in the diagram assignments and, in particular, the peer review process.The natural idea for conveying UML diagrams was to convert them to raised-dot diagrams,where the structure is indicated by raised dots on paper and the textual elements are indicated inBraille. RCPD has a
Paper ID #9506I Did Not Anticipate This: Experiences from the Early YearsDr. Thomas Shepard, University of St. ThomasDr. Alison B. Hoxie, University of Minnesota Duluth Dr. Alison B. Hoxie is an Assistant Professor in the Mechanical and Industrial Engineering Department at the University of Minnesota Duluth. Her education includes a B.A. in Natural Science from the College of Saint Benedict (1999), a B.S.M.E (2001) and a Ph.D. (2007) from the University of Minnesota Twin Cities. She has held positions as a consulting engineering in power and energy sector, and as an Instructor at the University of Utah. Her current
landing mechanism for the Mars Science Laboratory Rover Mission AKA Curiosity. Mechanism design work for Hubble Robotics and on Global Precipitation Measurement Instrument Missions. Additionally, Professor Brown has worked at the National Institute of Standards and Technology designing test equipment to measure stress-strain relationships to superconductor perfor- mance. His past work on the tethering landing mechanism used to lower the Mars rover Curiosity to the Red Planet’s surface is part of a $2.5 billion program NASA says will assess whether the Gale Crater area of Mars has ever had the potential to support a habitable environment. Professor Brown runs the NASA Space Grant program at MSU Denver. His current
, University of Maine John Thompson is an Associate Professor of Physics and Cooperating Associate Professor of STEM Education, and a member of the Maine Center for Research in STEM Education at the University of Maine. He is co-director of the UMaine Physics Education Research Laboratory, a research group of over a dozen faculty, postdoctoral research associates, graduate students, and undergraduates. His research focuses on the learning and teaching of thermodynamics and statistical mechanics at the upper division, and student understanding at the physics-mathematics interface. He is very interested in cross-disciplinary studies of specific topics.Donald B. Mountcastle, University of Maine Donald Mountcastle is an
Paper ID #8669Engineering Practice in the Academic Plan: External Influences, Faculty, andtheir Teaching RolesMr. Michael Geoffrey Brown, University of Michigan Michael is a second year doctoral student at the University of Michigan in Higher Education. His research interests focus on organizational communication and curriculum planning in post-secondary education.Dr. David B Knight, Virginia Tech Department of Engineering Education David Knight is an Assistant Professor in the Department of Engineering Education and affiliate faculty with the Higher Education Program at Virginia Tech. His research focuses on student learning
Transportation Subcommittee under President’s Environmental Sustainability Committee. In addition to those duties at Villanova University, she is also Panel Member of various re- search projects sponsored by The National Academies and University Representative of Transportation research Board. Her teaching and research area include various aspects of transportation engineering, traffic safety, and sustainable infrastructure.Dr. Susan B. Mackey-Kallis, Villanova University SUSAN MACKEY-KALLIS, an Associate Professor in the Communication Department at Villanova Uni- versity in Pennsylvania and is currently serving as the chair of Villanova’s International Leadership Team, which is focused on developing a comprehensive and
Paper ID #9063Developing engineers who lead: Are student, faculty and administrator per-spectives aligned?Lt. Col. Brian J Novoselich P.E., Virginia Tech Brian Novoselich is an active duty Lieutenant Colonel in the United States Army and currently a Ph.D. student in the Department of Engineering Education at Virginia Tech. His is a former assistant professor at the United States Military Academy. His dissertation research interest is undergraduate student leadership development in capstone design teams.Dr. David B Knight, Virginia Tech Department of Engineering Education David Knight is an Assistant Professor in the
Chart The flow chart of the design and method is shown in Figure 3. Sign a = Control Control Image W = Test Test Image Compare Two Recognition Image filter Image Filter Images End b = Grayscale r = Grayscale c = correlation Conversion Conversion of b and r BW = Black/ BW = Black/ c1 = correlation White
award from Berkeley, and a mentoring award from CUNY. In 2013-14 Dr. Nehm was named an Education Mentor in the Life Sciences by the National Academies.Dr. Luanna B Prevost, University of South FloridaMichelle Kathleen SmithDr. Maryanne Sydlik, Western Michigan University Dr. Mary Anne Sydlik is the Director of the Science and Mathematics Program Improvement (SAMPI) Center, an outreach division of the Mallinson Institute For Science Education at Western Michigan Uni- versity. SAMPI specializes in evaluation, research, and technical assistance for K-12 schools and higher education institutions. She is the external evaluator for the project. Dr. Sydlik’s interests are in supporting efforts to improve the educational
. Institutional level 2000 2012 b. Unit (college, student affairs, etc.) level 2000 2012 c. Program level 2000 2012 d. Course level 2000 2012 3 Those with a vested interest in the learning outcomes, and are involved in developing, articulating, and assessing them at the 2000 2012 Program or major curriculum level 4 Statements of program-level expected learning out-comes are made available to current and prospective
Instructional • Resources • Governance Processes Assessment INTERNAL & Evaluation INFLUENCES Path A Unit Level Influences Adjustment For example: • Faculty • Discipline • Student characteristics Evaluate & Adjust Environment Path B Path C Modify
Table I.loop dynamics when the feedback law is implemented. Inaddition, in real-life applications the set-point objective is B. Object Manipulationachieved when ρ < Rt , where Rt > 0. To investigate the Potential robotics applications, multi-agent or otherwise,stability of the feedback law, consider the Lyapunov function almost always involve interaction with other physical objects.candidate: This fundamental feature served as a great challenge with 1 V (ρ, α) = ρ2 + (1 − cos α) (5) which to demonstrate the flexibility of the new spider robot 2
of Science Education and Technology 16, 325-336, doi:10.1007/s10956-007-9055-5.13 Ratto, M., Shapiro, R. B., Truong, T. M. & Griswold, W. G. in International Conference of Computer Support for Collaborative Learning. 477-486.14 Fitch, J. L. Student feedback in the college classroom: A technology solution. Educational Technology Research and Development 52, 71-77, doi:10.1007/BF02504773 (2004).15 Junco, R., Heiberger, G. & Loken, E. The effect of Twitter on college student engagement and grades. Journal of Computer Assisted Learning 27, 119-132 (2011).16 Kiaer, L., Mutchler, D. & Froyd, J. Laptop computers in an integrated first-year curriculum. Communications of the ACM 41, 45-49 (1998).17 Vorvoreanu
universities, includingpercent of the workforce whilst accounting for 13 percent of independent institutions within six years of initial enrollmentthe population. According to ASEE, only 4.3% of all [4].Engineering Bachelors’ degrees in 2013 were awarded to Sustainability: the ability of a system to successfully withstandAfrican American students. As a result of this disparity in the the test of time.representation of minorities in the engineering workforce therehave been several initiatives and programs that have been B. Introductionfunded by government and private sources to address theseneeds. A recent study done by the American Society for
information associated with the centralValue theme and then each of the associated quadrants. The process is engaging, team-oriented,and encourages revision and alignment of the content across the IC. Depending on theexperience level of the instructor and/or the design teams with the IC, the instructor may eitherdirectly suggest a process for using the IC or allow teams to explore the IC independently. TheIC is ideally suited to support the capstone design experience by providing critical market andbusiness contexts to design projects.8-10 The rest of this paper provides information onintroducing the IC to capstone design students using a reverse engineering activity.Reverse Engineering of an Oral-B® Electric ToothbrushReverse engineering (product
introductory, fundamental engineering classes.The theme strongly suggests that instructor and students work together to create newunderstandings 29. In this new approach, learners would be able to make choices and form theirown perspective on ideas that are important to them and possess freedom to think, observe, andask questions 34. The researchers of this study wish to transfer the concept of this “new learning”and investigate that when instructor and students in IFEM courses participate in a curriculum thatis generated by active and cooperative learning, as suggested by Dewey and numerous otherscholars, does a stronger development of student learning in engineering concepts occur?B. Role of the Instructor in Developing a New Curriculum in
. (i) A recognition of the need knowledge of mathematics, engage in life-long learning (b) An ability to design and (d) An ability to function on
Paper ID #9711A Longitudinal Study of the Impact of a First-Year Honors Engineering Pro-gramDr. Kathleen A Harper, The Ohio State University Kathleen A. Harper is a faculty lecturer in the Engineering Education Innovation Center at The Ohio State University. She received her M. S. in physics and B. S. in electrical engineering and applied physics from Case Western Reserve University, and her Ph. D. in physics from The Ohio State University. She has been on the staff of Ohio State’s University Center for the Advancement of Teaching, in addition to teaching in both the physics department and college of engineering. Her
(Level 3) YES YES YES YES YES ExpertGrammar NP (Level 3) YES YES YES YES YES Novice All students received the same lecture and used the same design book (Engineering Design: A Project-Based Introduction, 3rd Edition, by Clive Dym and Patrick Little 5). Students in the Example group and Grammar groups were each handed packets containing all instructions and supplemental materials. (The three different packets are provided in Appendix A, B, and C). Students were given one week to complete the functional modeling assignment and were told not to discuss the homework assignments with anyone other than their course instructor. The assignment given to all
9 10 20 5 2 2 0 0 1A 1B 2A 2B 3&4 nil one two three four five RESPONSES TALLY (a) (b) Figure 2 – Survey Statistics; Page 24.1198.10 (a) Responses to each survey and (b) Tally
) Instructor assessment, every project was assessed by the courseinstructor by means of the ITC and Fluency Rubrics.Results and discussionStudents were able to construct concrete examples of a material balance from an everydaysituation (preparing pancakes; home-produced recycled paper; fruit juice extraction; cocktailmaking; sweet potato candy –camote– production; homemade cheese, pineapple marmalade, andgummy bears; lemonade making; preparing dulce de leche, and so on) and represent it in manyways (ideas, figures, iconic/symbolic, oral, and written). See Appendix B for specific examples. Page 24.40.6Fluency Rubric1) Ideas: Students achieved an
tasks.The first study involved a group of seven high school students from 10th and 11th grades of aScience and Math Magnet school in Nashville, TN. These students were on a summer internshipprogram at our institute. The seven students were divided into two groups: Group A with threestudents and Group B with four students. Both groups appointed leaders who had theadministrative role implying they were in charge of running the simulation. The administrativeleader from group B was appointed the super administrator, i.e., when the two groups workedtogether, this student was in charge of controlling the joint experiments executed in thesimulation environment. All students worked individually in Step I of the C3STEM projectwhere they used the CTSiM agent
Figure 2. Similar analysis is also provided atthe course level that documents the contributions of each individual course to the attainment ofStudent Outcomes.The program level analysis results from data collected from each course within the curriculum.A common spreadsheet, displayed in Appendix B, is used in each of the program’s requiredcourses and serves as the starting point for the assessment system. The course instructor usesthis spreadsheet to: 1. record individual performance for all students for each assigned course exercise 2. assign a “weighting factor” to each exercise to indicate that specific assignment’s value Page 24.118.6