design of the VR teachingmodule to be more immersive and visualized. The current VR module is a semi self-paced tutorial.Concurrent research (Phase III) is being conducted to investigate how well students understand thequeuing theory concept using this updated VR teaching module versus traditional classroomlecture. Data is currently being collected using a different set of students with the same conceptualquiz but taught the topic in a traditional classroom manner (control group). Afterwards, we plan toprovide a comparative analysis of both approaches, control group versus experimental group anddisseminate the results.. The sections discussed below only reflects how well the students performusing the VR training module (experimental group
compatible – we need to expand this app on other mobile platforms (iOS, WindowsMobile) to cater iPhone and Windows phone users , (ii) conducting a survey to evaluate theusability of this mobile app (planned for Spring 2018), and lastly (iii) comparing the study resultsfrom mobile app with the results from other VR platforms that we have studied such as theCAVE and the 3D TV.8 References[1] T. Abdel-Salam, P. J. Kauffman, and G. Crossman, "Does the lack of hands-on experience in a remotely delivered laboratory course affect student learning?," European Journal of Engineering Education, vol. 31, no. 6, pp. 747-756, 2006/12/01 2006.[2] B. Jackson. (2015). What is Virtual Reality? Definition and Examples. Available: http
Figure 1 for an example in-class activity designed to address this issue.Figure 1 – Example in-class activity plan illustrating who does what when and how.In this particular activity students are grouped based on what they know, so the groups are morehomogeneous than heterogeneous. This works well for this exercise because groups will be ableto advance more toward identifying the key parameters and then finding the right equations whenworking with other students who also understand that same geometry fairly well. Because in thisactivity we are asking the students to explore the material on their own and for the first time,homogeneous grouping will likely lead to more success than heterogeneous grouping. In somecases though, such as when students
), white board(s),projector(s), and printer(s). The author was the professor of record and independently designedthe course based on Purdue University CLOOs. In course planning and preparation, theinstructor adopted a learning-centered paradigm, while using a Learning Management System(LMS) (i.e., Blackboard) for course organization, file sharing, assignment posting/submission,grading, and testing. The instructor’s goal was to create a learning environment in which studentscould learn to restructure the new information and their prior knowledge into new knowledgeabout the content, and practice using it. Course design included a combination of mini/bridginglectures (as needed), readings, group discussions, exams, assignments, and a team project
verify the suitability of the proposed implementation w.r.t. the project specifications, which are based on those defined in the standard, and b) Define Performance Tests to analyze the impact of the chosen techniques on the overall system performance.Along with defining those tests, the team develops a set of figures of merit (FOMs) for bothtypes of tests and uses those to quantitatively characterize the performance of the system w.r.t.the project requirements.Developing appropriate FOMs and test plans and analyzing how these are specified in thestandard is a very valuable educational experience. Regulated tests allow interactions among thestakeholders (device manufacturers, network operators, service providers, etc
to joining Rose-Hulman, he was a company co-founder and Chief Operating Officer of Montronix, a company in the global machine monitoring industry. Bill is a Phi Beta Kappa graduate of Illinois College and a Bronze Tablet graduate of University of Illinois at Urbana Champaign where he received a Ph.D. degree in Mechanical Engineering.Dr. Timothy Chow, Rose-Hulman Institute of TechnologyDr. Tony Ribera, Rose-Hulman Institute of Technology Tony Ribera serves as the Director of Assessment in the Office of Institutional Research, Planning and Assessment at Rose-Hulman Institute of Technology. He most recently worked at the Indiana University School of Medicine where he served as the Director of Program Evaluation in the
of universities have developed professional development activities andworkshops for teachers [18]. For example, the University of Florida developed a two-week summer program and invited K–12 teachers to engage in engineering activities andlearn to implement these activities in their classrooms [23]. The Iowa State UniversityCollege of Engineering designed a program for K–12 teachers that deliveredtechnological literacy, and helped teachers to integrate engineering principles into theircurriculum [24]. Dortmund College planned and implemented a summer short course tointroduce high school educators to engineering problem solving [25]. It was noted that ashort course was offered at first as a summer workshop for in-service teachers with
Engineering, thedirector’s approach to these six areas was, perhaps, somewhat more outwardly focused than itmight otherwise have been. Her direction from the start was in first attempting to uncover andknit together existing users and user-groups, existing user skills and existing spatial interests andcommonalities. The difference between what was originally described and how the approachwas actually taken is of interest not only as a model for GIS practices in a library but for broaderdevelopment of inter-disciplinary work across the library and university.The position was initially developed to provide leadership in planning, developing and managinginterdisciplinary GIS services, instruction, programs and collections. This was re-focused by
going onto the next. At these early phases, it may besufficient for the engineers and other project staff to simply acknowledge the product-safetyissues that will be faced by the project. Although solutions will be needed before final-designrelease, a detailed plan of action may not be required yet.Phase 3 is the stage of most concern to the design-engineering team. It is here that the product isdesigned, re-designed, prototyped, analyzed, tested, and finally released to Manufacturing. Thisblock shows interactions with suppliers and the suppliers’ interactions with sub-suppliers. Thefigure shows the explicit need for testing in the field and in the laboratory. There are numerousincremental reviews of product safety during Phase 3. During these
Rural Appraisal (PRA) as a suitable concept. The PRA is a well-knownmethod of development cooperation, which aims at incorporating the knowledge and opinionsof rural people in the planning and management of development projects and programs.Thereupon – in the sense of the problem solving model according to Sell/Schimweg – thestudents collected supporting and opposing forces, which are to be expected in theimplementation of their concept. The student group determined several operators for achievinga step-by-step problem solving: With the help of mind maps and group discussions, severalsuggestive questions were set as a first step in the implementation of their training concept.These questions are supposed to be provided to women and men as part
weekly meeting was a 2-hour block of time in the makerspace classroom,which either involved one large project, or two mid-sized projects to take up the time. Projectswere structured to last approximately 90 minutes, so if some students took a little longer they didnot run out of time to complete their projects. If a student finished early, they were given theoption of leaving early each week, or completing a second version of the project from that weekor one of the earlier weeks if they had a hands-on item they wanted to create again.Projects (and related tools included): wooden coasters (measuring, Dremel tools), string art(pattern planning, pliers, hammers, nails), wooden swiss-cheese (power drill, drill bits, vise),ratcheting wrench mini
activity can also segue into a discussion on lumped versus distributed system modeling.Ask students to identify which playdough shapes would cool down uniformly and which wouldremain hot in the middle, while the outer surface cools. In lecture, the instructor introduces theconcept of lumped vs distributed thermal systems and what types of shapes can be reasonablymodeled as lumped systems and why.With some additional equipment and planning this exercise could be repeated later in the courseas a lab with data collection to monitor temperature response. It could also be repeated as a minidesign competition to see which models cool down the quickest.Experiment 3: “Fluid in a Tube”Step Response of a second order system with a variable damping
dimensionality ofthe survey data input increases 𝑛𝑛-TARP should continue to be effective. We intend to expand thedimensionality of the data by including all the questions from the pre-survey instead of the eightquestion subset we used in this study. This goal of including additional questions poses somechallenges since not all questions have a Likert scale, nor are they all ordinal. Further, in this studywe considered pre-course survey responses from only four courses; moving forward we plan toincrease this analysis to over 200 courses.6. CONCLUSIONSIn summary, we proposed a new data analysis approach for survey data using 𝑛𝑛-TARP. We generateda distribution of clusters based on student responses to MOOC pre-course survey questions. Ourapproach
Technologies.Col. Jeffrey A. Starke, United States Military Academy COL (Ret) Jeff Starke served as a Military Intelligence officer with command and staff experiences at the battalion, brigade, joint task force and combatant command levels. His most recent operational experi- ence was as a strategic planning at the United States Central Command in support of Operation Inherent Resolve (actions against ISIS). Academically, COL Starke specializes in environmental engineering with research and teaching interests in drinking water, public health, and microbial-mediated processes to in- clude renewable energy resources. COL Starke taught senior-level design courses in Physical and Chem- ical Processes, Biological Treatment Processes
system." Sometimes I feel like I liked thework environment there because of the people, rather than the work. But also-It just opens my eye ... Opens my eyes to see that you can learn so much from peoplewho aren't teachers-who don't really have a degree to say ... It's sometimes what youlearn from there is even more valuable than a math problem. You could take even more ...It could take you farther sometimes.Yeah, so that's something ... I don't want to let go of that. That's maybe why I want to stay within that environment. Probably something in agricultural. Well, my plan is get a Bachelor's in Civil [Engineering]. Hopefully either structural or water, and then probably major ... Master in agricultural engineering
additional MatSEclasses into the SIIP program. In addition, we also have in place a mechanism for continuous re-vision and improvement of the existing computational modules through an end-of-year debriefand planning session, in which the SIIP faculty and teaching assistant conduct a “post mortem”of the computational modules. By identifying aspects of the material, delivery, and student re-sponses that were positive and successful, and those that were less so, the team identifies how andwhere to improve the material and its dissemination for the following year.The student surveys provide valuable information, but their utility as an assessment instrumentcan benefit from further improvement. The sample sizes in the senior level computational
, establish goals, plan tasks, and meetobjectives”). If students were asked to design their own microfluidic devices to resolve an unmetneed and adhere to engineering constraints, this module could address student outcome 2 (“anability to apply engineering design to produce solutions that meet specified needs withconsideration of public health, safety, and welfare, as well as global, cultural, social,environmental, and economic factors”). Finally, this module also addresses the ABET BMEprogram criteria a (“applying principles of engineering, biology, human physiology…”), b(“solving bio/biomedical engineering problems…”), and c (“analyzing, modeling, designing, andrealizing bio/biomedical engineering devices, systems, components or processes”) [9
memberhad to fulfill, such as the budget manager, and communications manager. The TDP rubric wasprovided to students as part of the TDP assignment, so they were well aware of all gradingcriteria in advance, so that they could plan accordingly. This rubric allowed us to define clearly,why a particular grade was earned, rather than the previously used subjective, holistic approach.Again, we found this new TDP rubric to be effective in helping students meet the desiredoutcome. Out of 15 teams, 100% exceeded the minimum threshold of 70% for satisfactoryperformance. In fact, the lowest grade was an 83%. While this did not provide for a large spreadin grades (average was 92% with a standard deviation of only 4.2%) the teaching faculty werequite satisfied
number of participants per grade, per ethnicity and in theall-girls after-school STEM program limits generalizations from our data.Although initially planned, a major limitation of the study was that a pre-survey was notconducted limiting the ability to “compare” the influence of the all-girls after-school program.Additionally, the absence of open-ended questions or follow-up interviews with either all-schoolstudents or teachers, limits our insight into student reasoning. For example, do the students knowwhat “engineering” is when asked if girls belong? Interest scores in science were lower than inother areas. The principal indicated hiring good science instructors was a constant struggle andthat the department would be revamped the following
in-depth discussionduring the in-class time.IV. Reflection and future directionThroughout the different phases of this project, we were not able to find previous studies underthe search of “flipped review” or “flipped class” + “prerequisite review”. We invite futurestudies, esp. senior level classes to try out the flipped review process and add to the flippedclassroom literature.We also recommend instructors who plan to adopt the flipped review approach build a learningoutcome measurement that can be used consistently in the classroom-review and flipped-reviewclasses so that the differences in learning would be more visible. In our project, ME 491 hasevolved a lot over the past years. As a result, we do not have a consistent measure to see
. System architecture directions for networked sensors. In: ACM SIGOPS Operating Systems Review. Vol 34. ACM; 2000:93-104.30. Jakoby B, Vellekoop MJ. Physical sensors for water-in-oil emulsions. Sensors Actuators A Phys. 2004;110(1):28-32.31. Riek LD. The social co-robotics problem space: Six key challenges. Robot Challenges Vis. 2014.32. Casper J, Yanco H. AAAI/Robocup-2001 robot rescue. AI Mag. 2002;23(1):43.33. Galbraith B V., Guenther FH, Versace M. A neural network-based exploratory learning and motor planning system for co-robots. Front Neurorobot. 2015;9.34. Kok JR, Spaan MT, Vlassis N. Multi-robot decision making using coordination graphs. In: Proceedings of the 11th International Conference on Advanced
ideas as well asfeedback from colleagues and anonymous reviewers.References[1] J. Johnson-Bailey, R. M. Dervero. (2008). Different Worlds and Divergent Paths: Academic Careers Defined by Race and Gender. Harvard Educational Review, v78, n2, pp. 311-332, Summer.[2] Super, D.E. (1990). A Life-Span, Life-Space Approach to Career Development in Brown, D. Brooks, L. & Associates (2nd edn) Career Choice and Development San Francisco: Jossey-Bass, pp197-261.[3] Super, D.E. and F.J. Minor. (1987). Career Development and Planning in Organizations. Advances in Organizational Psychology, Beverly Hills, CA: Sage Publications.[4] M. J. Finkelstein, V. M. Conley, J. H. Schuster. (2016). Taking the Measure of Faculty Diversity. Advancing
academic, public, government, and corporate libraries.Roberts3 provides a historical survey of the administrative structure of academic science andtechnology libraries with survey results from approximately one hundred libraries. Maugham4describes the planning and construction of the Kresge Engineering Library at the University ofBerkeley. In 1999 Poland5 describes administrative restructuring and consolidation of scienceand technology libraries at Cornell, and in 2007 Powell6 summarizes the merger of reference andcirculation desks. A few years later Powell7 and Scharnberg8 discuss the transition to virtual, orbookless libraries.Many universities present information about the history of their engineering libraries on an“about page” or Wikipedia
' Thought Processes. Occasional Paper No. 72.[2] Stern, P., & Shavelson, R. J. (1983). Reading teachers' judgments, plans, and decision making. The Reading Teacher, 37(3), 280-286.[3] Gow, L., & Kember, D. (1993). Conceptions of teaching and their relationship to student learning. British journal of educational psychology, 63(1), 20-23.[4] Willcoxson, L. (1998). The impact of academics' learning and teaching preferences on their teaching practices: A pilot study. Studies in Higher Education, 23(1), 59-70.[5] Solomon, B. A., & Felder, R. M. (1999). Index of learning styles. Raleigh, NC: North Carolina State University. Available online.[6] Zywno, M., & Waalen, J. (2001). The effect of hypermedia
Paper ID #19870Closing the Gap: Using Supplemental Instruction as a Tool to Assist Minori-ties in EngineeringLt. James Blake Gegenheimer, STEP James Gegenheimer is an MSME Candidate in Mechanical Engineering at LSU. James is a Second Lieu- tenant in the United States Air Force. He will be stationed at Hill Air Force Base in Salt Lake City, Utah. He plans to pursue a Ph.D. through the Air Force and work with the Air Force Weapons Research Labora- tory. James is currently the Supplemental Instruction Coordinator at LSU for the College of Engineering. He also served as a Supplemental Instructor in Thermodynamics for over
clustering presents a useful summary of the groupsamong our data, it is only useful insofar as it is an authentic representation of the actual patternsof our data. Like with other statistical methods, the planned application and implications of ourconclusions need to align with the validity examinations conducted in our work.37Specifically, for the description of these decision-making profiles among beginning designstudents, the confusion between two or three clusters in the solution, and visual inspection of thedata suggests that further verification is would be helpful. Nevertheless, our work is informativefor demonstrating steps cluster analysis as a technique. We have reported the software used (R);distance measure (Euclidean distance) and
field trials.Also covered are lessons learned from the field trials, the revision process, and plans fordisseminating the module to partner universities in the future.BackgroundBiogeotechnics is a rapidly emerging branch of geotechnical engineering that focuses on learningfrom nature to help address engineering challenges. Although many freshman engineeringstudents may have already decided to pursue one of the main branches of engineering (e.g.,mechanical, electrical, civil, or chemical), many are still exploring the sub-fields andspecializations within each branch (Shamma & Purasinghe, 2015). Exposing undergraduates toresearch being conducted in biogeotechnics, along with various career options available, whichare often dependent upon
: Sage Publications.[11]. McKenna, A. F., Yalvac, B., & Light, G. J. (2009). The role of collaborative reflection on shaping engineering faculty teaching approaches, Journal of Engineering Education, 98(1), 17-26.[12]. McKenna, A. F., & Yalvac, B. (2007). Characterizing engineering faculty’s teaching approaches, Teaching in Higher Education, 12(3), 405-418.[13]. Mortimore, P. (ed.), (1999). Understanding pedagogy and its impact on learning. Thousand Oaks, CA: Sage Publications.[14]. National Academy of Engineering (2004). The engineer of 2020: Visions of engineering in the new century. Washington, DC: National Academy Press.[15]. National Research Council, (2011). Natalie Nielsen, Rapporteur, Planning Committee on
. This must happen during the first two weeks of class.After the groups are formed, the students research project topics they would like to work on.Due to the fact that the class is required for nearly all engineering majors, many of the groups aremultidisciplinary, which increases the diversity in the projects since every member looks at aproblem from a different perspective. Once the group agrees on one (or several) ideas, they mustdiscuss and obtain approval from the IDEAS Showcase Coordinator (the class professor in thiscase) by presenting a proposal which briefly describes the topic of study and how they plan toachieve it (Figure 3 a). A template for the proposal and several examples are provided to thestudents
., Eng., & Math. (STEM) Health Science Transportation, Distribution & LogisticsThe selection of career cluster is non-binding, but allows for systematic development ofindividualized graduation plans (IGPs) based on career interests. The IGPs primarily affectrecommendations for course electives; all sixteen career clusters have identical recommendationsfor the four-year sequence of mathematics courses, as shown in Table 2. Table 2 Mathematics course recommendations for high school graduation in South Carolina. Grade 9 Grade 10 Grade 11 Grade 12 Algebra 1 Geometry Algebra 2 Precalculus or