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
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
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
survey research discussed in this article addresses agap in the literature by developing a quantitative approach to graduate student identitydevelopment in engineering, education, and engineering education. We explore graduatestudents’ perceptions of their multiple roles today and in the future, focusing on a) the actualroles they currently hold, b) the roles they desire to hold now and in the future, and c) the rolesthey believe they are expected to hold now and in the future.TerminologyThroughout this research key terms were used with distinct definitions in mind. First, the termidentity is used in terms of who a person is in the professional sense. For example, for graduatestudents and professoriate, identity often includes the roles of
,” The Journal of Experimental Education, vol. 62, no. 2, pp. 143–157, Jan. 1994.[7] K. Struyven, F. Dochy, and S. Janssens, “Students’ Perceptions About Evaluation and Assessment in HigherEducation: A Review,” Assessment & Evaluation in Higher Education, vol. 30, no. 4, pp. 325–341, Aug. 2005.[8] M. Zeidner, “Essay Versus Multiple-Choice Type Classroom Exams: The Student’s Perspective,” The Journal ofEducational Research, vol. 80, no. 6, pp. 352–358, 1987.[9] A. Ben-Simon, D. V. Budescu, and B. Nevo, “A Comparative Study of Measures of Partial Knowledge inMultiple-Choice Tests,” Applied Psychological Measurement, vol. 21, no. 1, pp. 65–88, Mar. 1997.[10] F. Lord, M. Novick, and A. Birnbaum, Statistical theories of mental test scores
Display Module K60 Input Power Filtering and USB Processor Control Circuitry Input/Output pins and ADC circuitryFigure 2: Proteus 2.0 controller diagram with main components. Solid outlined components aremounted to the back side of the PCB in Figure 3. Dashed components are mounted to the front. (a) (b) Figure 3: (a) Front side of Proteus PCB and (b) Back side of Proteus PCB.Instead of using
Paper ID #10257Problem Framing as a Teachable Skill: A Practical Approach to TeachingLeadership CommunicationDr. Kathryn A. Neeley, University of Virginia Kathryn A. Neeley is Associate Professor of Science, Technology, and Society in the Department of En- gineering and Society in the School of Engineering and Applied Science. She holds B.A., M.A., and PhD degrees in English from the University of Virginia and is a past chair of the Liberal Education/Engineering and Society Division of ASEE. In addition to undergraduate and graduate teaching of written and oral communication. Dr. Neeley has conducted research and
of a given problem. The final class design project is used to assess this phase.Homework and quizzes values 20%, two tests 40% and the final class project 40% of the grade.Table 2 shows the result of the student assessment and Table 3 gives the result of studentperformance in one semester. Table 2: Student Assessment Result Energy Resource Management Student Assessment of Student Outcomes Proposed ABET Criterion Satisfied: a, b, d, f and g
that faculty now faced students,many instructors feel their interaction with students during problem solving is vastly improved.From the student survey results, it was clear most students preferred faculty use of tablets andDyKnow to traditional chalkboard based lectures. Students and faculty both reported likingTablet PCs but there was insufficient data to support general conclusions about their impact onteaching and learning. An initial comparison of grades from the first year DyKnow and TabletPCs were used to the previous year showed the distribution of A and B grades to very similar.This is probably to be expected, as it would not be expect that measurable change in the moretalented students’ grades would occur. What instructors found
be applied.Model 1: Box-Cox transformationBox-Cox transformation was applied to refine the model. After test, it was found that the square-root transformation Y' Y ( ˆ 0.5 ) maximize the likelihood function among 2, 1.75, ... , 1.75, 2 . Compared with Model 0, new model effectively reduced the curvatureand heteroscedasticity, as shown in Figure 2 (b): Residuals against fitted values of model 1.Therefore, we propose a new first-order model without interaction terms, which is model 1: Page 24.389.6 Y'i Yi 0 1 X i1 2 X i 2 ... 13 X i13 i
. Student clickson the shielding blocks placed on the table, which moves them next to a scale, allowing the student tomeasure their thickness. Next, clicking on the block moves it to the space between the radiation sourceand the detector. Counts can then be measured by setting the time interval and clicking on the counterbutton. Process is repeated for different number of shielding blocks; thus gathering data for differentthicknesses. Entire process can then be repeated for blocks made of different material. Figure 4 showsthe thickness measurement step. Figure 5 shows the lead shielding blocks, next to labels A, B, C, …, foruse in the shielding experiment. Figure 6 shows two of the shielding blocks placed in between theradiation source (on the left
Mailman and board chair Beth Kennedy for supporting thestudy. A special thank you to PedGames server administrator Hao Xu and to all of the PedGamesstudent programmers for their creativity, dedication and hard work.Bibliography1. Shaw, S., Boehm, Z., Penwala, H., and Kim, J., GameMath! Embedding Secondary Mathematics into a Game- Making Curriculum Proceedings of the American Society of Engineering Education, 2012.2. van der Meulen, R. and Rivera, J. (2013) Gartner press release. Online at http://www.gartner.com/newsroom/id/2614915.3. Moskal, B. and Skokan, C. (2007). An innovative approach for attracting students to computing: A comprehensive proposal. Online at http://www.nsf.gov/awardsearch
-campus. ForIUPUI, 6% of the student population resides on campus.2 For a traditional residential campuslocated within the same region, 38% of the students live on campus.1Nontraditional students: Students that possess one or more of following characteristics: a)entered / reentered education after a major break in their studies, b) are a minimum of 25 yearsold, c) possess “mature life experience” and/or d) possess an interest in expanding the foundationof their previous education or changing their area of expertise.3 Taking into account age alone,38.9% of this university’s (nontraditional campus) student population is 25 years of age or older.Used for comparison a nearby state institution (residential campus) enrolls a student body withonly 3.2
concepts, thefoundations of the engineering design process, and professional skills like team work, leadership,and communication before they enter the workforce.15,16,17,18,19 ABET’s Criterion 3 addresses thetraditional STEM related skills (a-e) and professional skills (f-k).ABET Criterion 3. Student Outcomes: The program must have documented student outcomesthat prepare graduates to attain the program educational objectives.(a) an ability to apply knowledge of mathematics, science, and engineering;(b) an ability to design and conduct experiments, as well as to analyze and interpret data;(c) an ability to design a system, component, or process to meet desired needs within realisticconstraints such as economic, environmental, social, political
24.328.4analysis of five cases that are presented in the next section. Table 1: Categories of Development of a STEM Identity B: STEM C: University A: Faculty Engagement/ Stage Curricular/Co- Leadership/ Community Level Descriptor Curricular Activities Systems Faculty work independently on coursework, projects, etc. Little to no discussion on pedagogy
Paper ID #10217Use of a MOOC Platform to Blend a Linear Circuits Course for Non-MajorsDr. Bonnie H. Ferri, Georgia Institute of Technology Dr. Bonnie Ferri is a Professor and the Associate Chair for Undergraduate Affairs in the School of Elec- trical and Computer Engineering at Georgia Tech. She performs research in the area of active learning, embedded computing, and hands-on education. She received the IEEE Education Society Harriet B. Rigas Award.Dr. David Michael Majerich, Century for 21st Century UniversitiesMr. Nathan VerDon Parrish, Georgia Institute of TechnologyProf. Aldo A. Ferri, Georgia Institute of Technology