roles to eventually reverse. The LFs, as the link between the two collaborating labs, wouldteach graduate students, on both sides, ways to combine technologies and lab techniques that arebeneficial for both labs. Mentors were also asked to provide LFs with relevant literature sources to their project. Page 23.403.9Ideally, LFs would receive this literature at the beginning of the program and master the literature by the end of the program. Mentors were also required to attend the final LINCRsymposium. This symposium was intended
Paper ID #6766Efficient and Effective Instruction in Process Simulation Across the ChemicalEngineering CurriculumDr. Rebecca K. Toghiani, Mississippi State University Dr. Rebecca K. Toghiani is an associate professor of Chemical Engineering at MSU. She received her B.S., M.S., and Ph.D. all in Chemical Engineering from the University of Missouri-Columbia. She re- ceived the 1996 Dow Outstanding New Faculty Award and the 2005 Outstanding Teaching Award from the ASEE Southeastern Section. A John Grisham Master Teacher at MSU, she is an inaugural member of the Bagley College of Engineering Academy of Distinguished Teachers
education institutions in the United States, Hollenshead and colleagues found that onaverage research intensive universities had more parental leave policies than other types ofuniversities, including doctoral granting, masters granting, four year schools, and associatecolleges53. In general their results suggest that larger research institutions and programs withmore advanced graduate studies tend to have more parental leave policies, which is likelycommensurate to some degree with the level of resources these different types of institutionshave. However, at the time of their study, only 20% of their respondents had some form of paidparental leave. The most common type of leave policy was the tenure-clock stop, which 49% ofthe responding
Paper ID #7751Engineering Design Activity to Develop Strategy to Evaluate InterdisciplinaryDesign SkillsMatthew E. McFarland, University of Virginia Matthew McFarland is a 2nd year Master of Science student in the department of Systems and Infor- mation Engineering at the University of Virginia. He graduated from North Carolina State University in December of 2010 with a Bachelor of Science degree in Mechanical Engineering. This is his second year working in the research field of Engineering Education.Prof. Reid Bailey, University of Virginia Reid Bailey is an Associate Professor in the Department of Systems and
Paper ID #7360A picture elicits a thousand meanings: Photo elicitation as a method for in-vestigating cross-disciplinary identity developmentMs. Kristen Hatten, Purdue University, West Lafayette Kristen Hatten is a doctoral candidate in the Brian Lamb School of Communication at Purdue University in West Lafayette, Indiana.Mr. Tiago R Forin, Purdue University, West Lafayette Tiago Forin is currently a student in the School of Engineering Education at Purdue University. He received his Bachelors degree in Civil Engineering from Florida State University in 2006 and his Masters degree in Environmental Engineering from Purdue
1979 High School Seniors with N3 590,000 NS&E Interest 1980 College Freshmen with N4 340,000 NS&E Intentions 1984 B.S. Graduates in NS&E No 208,000 Graduate Students in -- 61,000 NS&E Programs 1986 Masters Degrees in NS&E -- 46,000 1992 Ph.D. Degrees in NS&E -- 9,700Estimate of K1:K1 is the
achieves master play,” Neural Computation,Vol. 6, pp. 215-219, 1994.14. Waibel, A., Hanazawa, T., Hinton, G., Shikano, K., and Lang, K. J., “Phoneme recognition using time-delayneural networks,” IEEE Transactions on Acoustics Speech and Signal Processing, Vol. ASSP-37, pp. 328-339,1989.AcknowledgementThe authors from the University of Central Florida acknowledge the partial support from NSF through a CRCDgrant number 0203446 entitled "Machine Learning Advances for Engineering Education".Biographical InformationMICHAEL GEORGIOPOULOS is a Professor of the School of Electrical Engineering and Computer Science at theUniversity of Central Florida. His research interests lie in the areas of neural networks and applications of neuralnetworks in pattern
institution. Manhattan College is a small, private, Catholic college located in the Riverdale section ofthe Bronx in New York City. The total enrollment is roughly 2800 with approximately 2500undergraduate students and 300 Masters-level students. The ratio of male to femaleundergraduates in the College is roughly 52%/48% and 78%/22% in the School of Engineering.The undergraduate diversity (ratio of Caucasian to non-Caucasian) in the College as well as theSchool of Engineering is roughly 72%/28%. The ratio of commuting to resident undergraduatestudents in the College is roughly 27%/73% and 38%/62% in the School of Engineering. TheSchool of Engineering offers BS and MS degrees in Civil, Chemical, Computer, Electrical,Environmental, and
; Increased diversity in Masters and Doctoral Level STEM Programs Long-term Increased undergraduate graduation rates in STEM and at the University Outcomes University and State system approval of requirements for entering STEM students Establishment of Entering Students Program Office for the Colleges of Science and Engineering Establishment of Associate Dean for Science and Engineering STEM Faculty and Staff involvement in STEM First-Year Seminar and Learning Communities Graduation in STEM Increased retention
/ERICWebPortal/contentdelivery/servlet/ERICServlet?accno=ED436353. Page 25.532.1318. Blumenfield, P. (1991). Motivating Students Through Project Based Learning. In Berliner, J., & Cassanova, U. (Eds.). Putting Research to Work in your School. Illinois: IR Skylight.19. Good, T.L. (1990). Using Work-Groups in Mathematics Instruction. Educational Leadership. 47(4) 56-62.20. Togño, E. (2001). Outdoor Mathematics: Its Effects in Teaching Trigonometry. Unpublished Masteral Thesis, University of Nueva Caceres, Naga City.21. Quinlan, C. (2004). Sparking Interest in Trigonometry. Australian Mathematics Teacher. v60 n3 p17-20 2004
lists of question prompts provided to them before they start their own projects. Thestudents’ community service learning included the following phases: Phase 1: Training. Seminars or on-line materials on creative problem solving skills areprovided to students before they go to the community learning sites. Students will learn thematerials to master how to solve a problem facing them in their service. Phase 2: On-site: Students are introduced to their community partners or mentors and starttheir service learning project for about two month period. Assisted by their mentors, the studentswill be introduced with the problems that the community faces and will select the project topicsthat fit into their learning interest and ability levels
wants to attract and retain students,it must find ways to provide the environment and opportunities for students to maintain morebalanced life. We acknowledge that this cannot be solved simply by reducing students’workload. It is necessary for students to work hard and master a lot of knowledge and skills inorder to become successful engineers. However, we cannot ignore these complaints either. It iswise to
completed the course. Table 2 Fall 2011 master schedule; max enrollment indicated in parentheses. Time Mon Tue Wed Thu Fri 4:00 Plenary Module Plenary 4:30 (90) (60) (90) 5:00 Module Module Module 5:30 (30) (30) (60) 6:00Plenary SessionsThe plenary sessions were delivered by a team of two instructors who focused on topics of theengineering profession that are common across the disciplines and majors. Given that the plan
. She further comments that standard exercises are given without context andboth context and the thoughts of reflection, comparison and relationships of the solved answerare what produce a true understanding of the mathematics. Despite a good teacher’s explanationof connections between mathematical concepts, there is no guarantee that the students internalizethose connections.13At the lowest level of Bloom’s Taxonomy of educational objectives in the cognitive domainthere exists the ability of the student to recall information. Arguably, a student must master thisability before moving on to high levels and it is closed-book examinations that place “a premiumon accurate and extensive recall.”14 Limitations of the open-reference format
years of grantfunding.The project had four distinct phases. In Phase One, Cohort A, high school participants, engagedin an intensive summer university experience. While participating in classroom and laboratory-based experiences, they were exposed to cutting-edge research in NASA-Related Earth SystemScience. In collaboration with university faculty, graduate students and a professionaldevelopment team of master teachers, Cohort A systematically developed NASA-related STEMK-12 teaching modules for secondary students. The proposed module development activitieswere designed to help teachers translate their new NASA-related scientific knowledge during thesummer research experience into their instructional practices in the classroom.Cohort A
required in-depth“specialization.” Three specialization areas are possible: math, science (biology, chemistryor physics) or technology. The major was approved by TCNJ’s Board of Trustees in 1998and subsequently as a disciplinary major for education majors by the NJ DOE in 2000. TheMST major is one of several program offerings in the Department of Technological Studieswithin the School of Engineering. Other programs include a Technology/Pre-engineeringeducation (T/PrEE) major and a Masters in the Art of Teaching (MAT). All majors are fullyaccredited by the National Council for Accreditation of Teacher Education (NCATE). Alldisciplinary major advising, recruiting and program requirements for the MST program arecoordinated by the Department of
lecturing both streams for about half the semester. Tutorialsare smaller, typically of size 40, and involve several academics. Each tutorial is managed byone academic and one teaching assistant, normally a postgraduate student. While it is difficultto promote active learning in large lectures, this is in fact attempted, and details are givenlater in this paper. Tutorials are more amenable to active learning and the students also takepart in peer-marking exercises in tutorials every second week. These exercises are alsodescribed later. In addition to tutorials, informal drop-in clinics are also provided for students.These take place in a large, open workspace and are staffed by senior students who assiststudents who need help with mastering the
time for Principles of Engineering™ wasdevoted to mathematics and engineering concepts (40.7%) than skills (36.1%),illustrating a greater focus on helping students understand the underlying reasons whyskills such as calculations, problem solving and the use of computer programs work.However, it is also true that students can master a particular skill without trueunderstanding of underlying concepts -- for instance, a student might be able to“dimension” members of a bridge using CAD software tools but may not understand thegeometry concepts that underlie the software output. To identify this distinction we alsolooked at how often concept instruction co-occurred with skills instruction. Concepts andskills were presented in tandem 46.7% of the
research in my MS thesis, but my friends and advisor and co- advisors help me a lot. It was a tough work for me and it will take a lot of time and effort to complete it, but I am satisfied with the result. * Language barrier (I'm not comfortable in speaking English) * My background prior to Mississippi State was Master of Arts. There has been a learning curve over the last year. So, I am still figuring some things out. I have recently finished my literature review for my project. With no basic knowledge of the field, I found myself struggling to read the literature and understand articles.The comments post-course were: * The proposal process has helped me be able to think through and communicate
center service island isnecessarily fixed to accommodate these services. In the front of the classroom are master shut-off switches for the water and compressed air. Page 15.470.7Figure 2: Floor plan for new classroom consisting of work clusters for six students each.Figure 3: Two views of the new learning space. The picture on the left is from the doorway andthe picture on the right is from the front of the classroom.All four walls are designed to be useful parts of this environment. The front and left side wallare covered in white board to allow ample space for instructor or students use. Also twelveHuddleboards, lightweight portable white boards
the studyparticipants attended public universities while four attended private universities. The averageself-reported doctoral grade point average was 3.46. A total of four informants (three males andone female) were married while enrolled in the doctoral program. Three male informants Page 15.1252.7reported having dependents while pursuing the doctoral degree. Nine of the study participantswere awarded Master of Science (M.S.) degrees from the same graduate institution prior tocompleting requirements for the doctoral degree. Four study participants pursued master’sdegrees prior to admission into the doctoral program; three informants
Institution of Electrical Engineers, and two gold medals and a silver medal from the Junior Institution of Engineers. In addition to a doctorate he has Masters degrees in engineering education, and letters. he is a fellow of the Chartered Management Institute Page 15.1.1© American Society for Engineering Education, 2010 “Brief Encounter:” A Reflection on William’s Proposals for the Engineering CurriculumAbstractIn 2003 Rosalind Williams argued a case for a new approach to the engineeringcurriculum. She envisaged that there would be a convergence between technological andliberal arts education that would be
in the commercial sector working in all areas of manufacturing, engineering, and management – completing his career as V.P. and General Manager. Alan has an M.B.A. from Ball State University, and a M.S., Engineering from Purdue University. Alan is a Life Time member of the Society of Manufacturing Engineers, a Certified Manufacturing Engineer, and certified by the Six Sigma Management Institute as a Lean Six Sigma Black Belt.Gary Hadley , Eli Lilly and Company, Indianapolis Gary Hadley is a certified Lean Six Sigma Master Black Belt with Eli Lilly and Company in Indianapolis and adjunct faculty in the Department of Technology at Ball State University teaching in the Minor In Process
our students need toimprove their schedule and budget management skills. Many of the presentation reviewerscommented about the need for a master Gantt chart and several addressed the need for systemsengineering including designing weight and cost budgets. In the future, we plan to implementformal instruction in project management and have more structured schedule and budgetmanagement requirements for the course. FSAE sufficiently challenges students in criticalproject management skills and assessment shows that we can improve student learning in thisarea.Course Outcome 4 – An ability to use written and oral communication to describe the data,calculations, analysis, and experimental results used to substantiate design decisions. (b, g, k)Oral
AC 2010-118: SUPPORTS AND BARRIERS THAT RECENT ENGINEERINGGRADUATES EXPERIENCE IN THE WORKPLACESamantha Brunhaver, Stanford University Samantha Brunhaver is a second year graduate student at Stanford University. She is currently working on her Masters in Mechanical Engineering. Her research interests include engineering education and design for manufacturing. She earned a BS in Mechanical Engineering at Northeastern University in 2008.Russell Korte, University of Illinois, Urbana-Champaign Russell Korte is an Assistant Professor of Human Resource Education at the University of Illinois at Urbana-Champaign. He is currently a Fellow with the iFoundry project in the College of Engineering at
. The project was then submitted at the end of the semester as asection of the portfolio. The project was assessed as part of the portfolio; however the projectwas graded independently from the portfolio. The marked drop in the percentage of acceptableportfolios was attributed to student procrastination resulting in the submission of incompleteportfolios. For the most part, the procrastinating students successfully solid modeled the partsand the assembly, but greatly underestimated the time or effort required to make the detailed andassembly drawings. In addition, the creation of drawings using the CAD program is coveredlate in the semester and many students had not completely mastered this skill.In an effort to combat the procrastination and
dynamical processes in the model, without changing it at all. Introducing themodel before they had mastered transient analysis of simple RC circuits may have exacerbatedtheir need for support.Third, students needed to develop their teamwork and independent thinking skills. The generalengineering program includes a team project in a freshman introduction to engineering class, butno teamwork or project activities in the sophomore year. Developing teamwork and independentthinking is a key goal of the project-based approach. The initial experience with teamwork didappear to have benefits for another team project later in the class, although that project was notassessed as thoroughly as the project described here. One interesting outcome of the class is
attempted, each team’s discussions concerning theseapproaches, and how the team traversed the problem solving process.Test Questions - Following the submission of the MEA and the instructor’s feedback to thestudents, follow-up exam questions can be used as one way of measuring the extent that theconcepts were learned. Using well-crafted questions, the instructor may be able to determinewhich students’ had mastered the primary concept embedded in the MEA, and the extent towhich misconceptions might remain.MEA Scoring Rubric – as an initial approach for assessing the students’ overall performance onthe MEA, we initially developed an evaluation rubric based on four of the six MEA constructs:(1) Generalizability, (2) Self Assessment/Testing, (3) Model