demonstrate an ability to • (Outcome 5) Function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives. • (Outcome 6) Develop and conduct appropriate experimentation, analyze, and interpret data, and use engineering judgement to draw conclusions.While the course assesses both of these objectives, our mini projects only target one. The miniprojects were completed by each individual student and were not used for assessment ofOutcome 5. For that objective, students additionally completed a substantial group project andafterwards completed a group health assessment survey.1.2: Related WorkTo the best of our knowledge
. 3 by the system indicates a strong alignment between the system'ssuggestions and the users' specified topics. As shown in Figure 4, a significant 80% of surveyparticipants agreed that the first book recommended by TextCraft closely aligned with theirsearch criteria, highlighting the system's adeptness at identifying key resources. However, asmall fraction of dissenting opinions suggest an opportunity to further refine the recommendationalgorithms to ensure top-ranking accuracy. Figure 3: Relevance of Books Recommended by SystemThe survey demonstrated a strong intention for future use among participants, withapproximately 93% indicating their plans to use TextCraft to search course materials. Thisreflects the application's
that are required for this renewable energy-powered transition are asfollows: 1. Renewable power—wind and solar 2. Power transmission—short-distance DC links 3. Energy storage—batteries and hydrogen 4. Power conversion—electric and hydrogen-powered motorsBased on the matrix presented in Table 2, the proposed Wentworth plan will be to design teachingmaterials, including presentations and homework or project assignments, which could beintegrated into these existing courses. These materials will be given to the various coursecoordinators in an effort to have them introduced into their course materials. As these materialsare integrated into existing courses, students’ interest will be increased, and their ability to tacklea more
writing assignments and the CEFR level of the lecture material itself, but it was very small –Answer to RQ3.The results demonstrated in item 1 and 2 above offer several benefits. Firstly, understandingstudents’ English proficiency allows educators to tailor their instruction to meet the diverseneeds of the class. It may also lead to an effective lesson planning. Additionally, it allows forthoughtful grouping in discussion activities. As indicated in item 3, students in the ‘lower’group displayed a greater increase in CEFR-J levels than students in ‘top group.’ This may bebecause grades for the earliest assignments were made known to students halfway throughthe course. It seems plausible that awareness of their poor performance led the ‘lower
building strong survey instruments with good questions [19].ConclusionThe sorting experiment was planned as a single round procedure to identify appropriate surveystatements for the sub-constructs of engineering self-concept. But the confounded interpretationsof perceived competence and self-efficacy among the SMEs resulted in a re-sort with a subset ofthe initial sample of survey statements. Strong agreement was found for academic self-description, engineering intrinsic value, belonging, and perceived competence through theexperiment, helping the researchers to establish survey statements for those respective sub-constructs. However, only a single statement for self-efficacy was identified within the currentsample.Future DirectionsFuture
systematic procedures. Itrequires cultivating ethical values, honing creative skills in engineering, working collaborativelyand iteratively, and solving complex problems in a multidisciplinary environment. TheAccreditation Board of Engineering and Technology (ABET) formally acknowledged theimportance of these notions in their most recent requirements - (students’ outcome 5): “an abilityto function effectively on a team whose members together provide leadership, create acollaborative and inclusive environment, establish goals, plan tasks, and meet objectives.”Project-based teamwork is particularly crucial in a first-year engineering design course. Anexperiential learning environment promotes acquiring essential skills and abilities that will beused
assignments.I was confident that our team produced acceptable solutions to course assignments. PotencyThis team helped me accomplish my individual goals for this course. Goal SettingMy team used clear, long-term goals to complete tasks. Goal SettingMy team reflected upon its goals in order to plan for future work. Goal SettingMy team made use of incremental goals (i.e., we set short-term goals) in order to complete Goal Settingcourse assignments on time.My team made use of incremental goals (i.e., we set short-term goals) in order to complete Goal Settingcourse assignments on time.Our team did not function well as a team; we
district and is in the process of creating a mentorship program to help high school students transition to university. His research interests include first-year university students’ experience, high school students’ transition to university, peer-to-peer mentorship, and student support networks.Ms. Sarah Huizar, University of Texas at El Paso Sarah Huizar is a Program Manager for UTEP’s Center for Research in Engineering and Technology Education (CREATE). She develops, implements, and manages a wide range of activities through the center’s STEMShine grant. She specializes in mentorship, essential skills building for freshman engineering students, project planning, community building through eSports, writing and design.Dr
couldindicate a lack of persistence, strategic planning, or confidence among the students.The results suggest a decline in proactive study behaviors, self-regulated learning strategies, andoverall student motivation. Further investigation of the underlying reasons for these changes andconsideration of interventions to support students in improving their study habits and motivationlevels would be essential.Active learningFigure 2 presents the results of those items categorized as “Active learning,” which coversactivities in which students participate in their own learning.Figure 2. The results of those items are in the Active Learning category.Results in this category were mixed. On the one hand, some items showed positive changes. Thisincluded item 2
begun [16].Further, regarding infrastructure resilience to disruption, the American Society of CivilEngineers (ASCE) [16] recommends enhancing the use of standards to mitigate risks related toclimate events and prioritizing projects that “improve the safety and security of systems andcommunities.”Communities that access this funding and organizations that perform work on their behalf willneed knowledgeable and skilled engineering, EHS, construction management, computer science,and cybersecurity professionals. In addition to technical knowledge, this work requires practicalskills in integrating standards for resilient and secure infrastructure, including applied skillsrelated to planning, design, development, and operation. The future workforce
evolutions of electronic computing. Themanufacturing capacities that gave rise to the microprocessor had vastly greater potential thanthat used in mainframes. Photolithographic manufacturing allowed the time between successivegenerations of product to be very short. In 1965, Gordon E. Moore made this observation forsemiconductor product cycles since 1959 [2], but the industry expectation, known as Moore’slaw, has guided planning, development, and research ever since with high accuracy. Theeconomic consequence has been that products, once started, developed through a rapid numberof small accumulative steps. And once a manufacturer traveled some distance down this productdevelopment path, major design changes to a product–such as changing the overall
2015 Mid-Atlantic ASEE Conference, April 10-11, 2015 Villanova Universityof a semester would apply to calculus based engineering physics is an interesting future project.A recent publication also supports the use of language skill in procedural learning. A study oninserting the human FoxP2 gene into mice found that the modified mice shown acceleratedlearning. The mice learned to master a procedural learning task of maze negotiation in 8 daysinstead of the usual 12 days 27. The FOXP2 gene has been accepted as related to humanlanguage development. Relational learning as a language development process would trigger theFOXP2 pathway and reinforce general procedural learning ability. We plan to extend our 9-concept fourth-order relational learning
ofEngineering Education, Vol. 92 No.1, 2003, pp. 7-25.18 E. M. Cooney, K. J. Reid, “Assessment rubrics for TAC-ABET interpersonal skills,”Proceedings of the 111th Annual American Society for Engineering Education AnnualConference & Exposition, Salt Lake City, Utah, June 20 – 23, 2004.19 K. J. Reid, E. M. Cooney, “Implementing Rubrics as Part of an Assessment Plan,”International Journal of Engineering Education, Volume 24, Number 5, September 2008, pp.893-900.20 M. J. Traum, D. A. Howell, L. C. Newman, “Engineering Design, Project Management, and Community ServiceConnected through Servant Leadership,” Proceedings of the 2013 American Society for Engineering EducationAnnual Conference, Atlanta, GA, June 23 – 26, 2013, 2013.21 M. J. Traum, S
). The design of Energy Efficiency” report by National Renewable Energybuilding envelopes continued on the previous integrated ventilation systems Laboratory (NREL), 11 parameters influence energy efficiency of(e.g. desiccant wheel and energy recovery wheel systems with variable air the building design are building envelopes, site analysis, orientation,volume). Data analysis and simulation results (e.g. contour plot, response configuration, space planning, ventilation, heating, cooling, lightingsurface plot) indicated energy reduction more than 16.6% along with the and appliances, water heating and waste management [4]. In
face class devoid of some of these activities. Itencompasses methodologies that are not only sustainable and scalable, but can be easily adoptedin any university in teaching engineering online classes.References[1] Schmieder, E. J. (2008). “The Tool to Interact with and Control Your Online Classroom Environment”. International Journal of Instructional Technology and Distance Learning Vol. 5. No. 3 pp 39-50.[2] Sarder, M. B. (2014). “Improving Student Engagement in Online Courses”. Proceeding 121st ASEE Annual Conference and Exposition, Indianapolis IN, June 15-18, 2014.[3] U.S. Department of Education, Office of Planning, Evaluation, and Policy Development, Evaluation of Evidence-Based Practices in Online Learning
24 Figure-7: MSWC Program Learning Outcomes and Project Learning Outcome13In this program, students are encouraged and recommended to work as a team to gain valuableexperience that is needed by most industries in the 21st Century. In the first month, students formteams (2 to 3 students in a team), select research topics, conduct literature search, analyze criticalaspects, and plan to reach a viable solution. In the second and third months, students perform thenecessary tests/experiments, data collections, build prototypes, prepare project reports, makeformal presentations, and prototype demonstration. All MSWC projects are subject
most of the students that received poor grades yetpassed the PSE, indicated in the last column in Table 2, had difficulty passing the PSE, takingmany attempts to pass the exam.An interesting observation can be made upon considering both Tables 1 and 2 together, thatwhile the enrollments in Solid Mechanics are typically lower in Autumn compared to Spring,there are more poor grades given during the Autumn semester. Most students on track tograduate as originally planned take Solid Mechanics during the Spring semester, while studentstaking it during the Autumn semester are often lagging behind due to poor performance incertain critical prerequisite courses. This generally poor performance in the degree programrequirements appears to continue in
2007 ASEE Conference, AC 2007-803. 11. Rooney, S. A., Rooney, J. J. (2005). Lean glossary. Quality Progress, 38(6), 41-47.Biographical InformationLIZABETH T. SCHLEMER is an associate professor of Industrial and Manufacturing Engineering at CaliforniaPolytechnic State University in San Luis Obispo. She received her Ph.D. in education from University of California,Santa Barbara, an MBA and an MS in Industrial and Systems Engineering from university of Southern Californiaand a BS in Industrial Engineering fro Cal Poly, SLO. She has 10 years of industrial experience working of UnocalCorporation. She has been teaching at Cal Poly, SLO for 15 years. She teaches a wide range of subjects fromEngineering Economy to Facilities Planning and Design
which collection of assessment data is requiredby our ABET Criteria Matrix (Table I).The ME 481 Project #3 Assignment (Marker Problem)As an example of a marker assignment, the project assignment for Fall 2007 is given here: “Design and analyze the landing gear assembly shown in Figure 1. 4 1. Create the seven components and five pins as parts using Pro/E. Use the dimensions given on the drawings provided. Note: these dimensions are approximate dimensions only. Design the final dimensions so that there are no improper interferences in the assembly. Changes cannot be made to the plan-view location of the ground points (D, A), the dimensions of the tire and wheel, the location of
, 2007. 129: pp. 283-294.3. Li, S. and Chen, L., Towards Rapid Redesign: Pattern-based Redesign Planning for Large-Scale and ComplexRedesign Problems. Journal of Mechanical Design, 2007. 129: pp. 227-233.4. Chen, L., Ding, Z., and Li, S., A Formal Two-Phase Method for Decomposition of Complex Design Problems.Journal of Mechanical Design, 2005. 127: pp. 184-195.5. Miles, L.D., Techniques of Value Analysis and Engineering, 3rd ed. 1989, Lawrence D. Miles Value Foundation.Available at http://wendt.library.wisc.edu/miles/milesbook.html.6. Central Industrial Supply Company, Central Industrial Supply (CIS), 2008. Available at: http://www.cisww.com/.7. Chusilp, P. and Jin, Y., Impact of Mental Iteration on Concept Generation. Journal of Mechanical
I, A S, T, E M M, H A Sensors generators 6Conclusions and Future Plans Focusing on technology innovations, rather than education research, this paper reveals for the first time Lego-based hands-on nano-educational modules field-tested on approximately 200 K-12, undergraduate and graduatestudents. As most of the educators in engineering in the US have doctoral degrees in research areas related toengineering fields, their knowledge and focus on education research is limited. On the other hand most of
. THEORETICAL CONTEXT OF THE STUDY maturity, efficient production needs to be emphasized as a part of the organizational strategy. Technology related products are important because ofefficient production as the supply and demand needs to areas concerning education is an appealing notion. Thebe balanced in order to maintain profitability. [19] A plan of accumulating various applications in one productcase example of a technological product manufacturer, is primarily focused on efficiency and cost reduction,using “make-to-order model” for managing the supply whereas, the use of 3d
detection, path planning and 2 20 89 48navigation, reconfigurability and rescue operation. 3 17 129 54 In this paper we describe a human rescue task and 4 14 176 63compare the results with increasing the number of robots 5 10 210 72in the swarm. To conduct this experiment we built smallarena and initially robots placed randomly in the arena. A 7 VII. CONCLUSION
which collection of assessment data is requiredby our ABET Criteria Matrix (Table I).The ME 481 Project #3 Assignment (Marker Problem)As an example of a marker assignment, the project assignment for Fall 2007 is given here: “Design and analyze the landing gear assembly shown in Figure 1. 4 1. Create the seven components and five pins as parts using Pro/E. Use the dimensions given on the drawings provided. Note: these dimensions are approximate dimensions only. Design the final dimensions so that there are no improper interferences in the assembly. Changes cannot be made to the plan-view location of the ground points (D, A), the dimensions of the tire and wheel, the location of
) suggests that this coefficient could be deleted or the model topologyotherwise modified to provide improved understanding. Accordingly, further analysis is planned in which: 1) theIPEDS data will be updated and expanded, 2) additional models for salary functions will be analyzed, 3) sensitivityof salary NPV and model coefficients will be analyzed with multiple regression. 100 100 Institution Institution 90 2 90
the work at hand. The assignment is made with the explicit understandingthat the skills of representing do not stay static—that is, only written or only in a report genre—but will be required in a number of different ways and in a number of different locations.And, in addition, they can plan the text of comments, but they will always have to be prepared tothink on their feet, as in being subject to question and answer sessions. For this kind of occasion,they will still be subject to evaluation in light of agreed-on expectations for the discipline as wellas on communication concepts for public speaking and the use of visual representation.The strategy we are using here makes the student liable to assessment both with and without anyformal
experience and found it useful (no “ poor” rating and only one“ fair” rating). We would like to explore how our results might change if more topics and longerpreparation times are given to the class. We are also planning to conduct further analysis on whatfactors contribute to forming well-functioning collaborative groups in introductory physicscourses at community college settings. 8 © American Society for Engineering Education, 2015 2015 ASEE Northeast Section ConferenceQ4: How did the collaborative group work aspect of Q5: In addition to learning the content of the
and manufacturing processes available for freshman engineering need to be carefully considered. Softer materials are more than adequate for most freshman engineering applications (ie. Plastics, wax, silicone, etc.). This said, standardizing materi- als for freshman usage requires some planning and preparation. Class size and challenges of scale drive cost of deployment; hence, material and part selection plays an important role in the course deployment cost.Overall, from an instructional perspective, the course provides an overview of mechanical engi-neering and the mechanical engineering curriculum. The instructional team continues to iterateand improve based on end-of-year reviews and student weekly
, going back to the “attributes of a global engineer” we postulate that the local toglobal research/internship sequence described in the examples above enabled the students togo way beyond learning new technical skills in a lab environment. They had to possess at leastsome of the following attributes (from the list of 20 mentioned in the ASEE study cited above) tosuccessfully complete all three projects:On the technical level, they had to demonstrates knowledge of project planning, management andthe impact the project has on various stakeholder groups (team members, sponsors, clients, end-users)On the professional level, they had to embrace “a commitment to quality principles/standards andcontinuous improvement” and to apply “personal and
States Military Academy at West Point,New York. He holds an M.S. from Vanderbilt University in Computer Science and a B.S. from West Point. He hasserved as a platoon leader, executive officer, assistant operations and network planning officer, and companycommander in several different Army Signal (Communications) Companies. He has installed communicationssystems in support of combatant commanders in Kuwait, Iraq, and Afghanistan.Major Jesse FlemingMAJ Fleming is an Aviation Officer and second year Computer Science Instructor for the Electrical Engineeringand Computer Science Department, West Point. He holds a M.S. from the University of Vermont in ComputerScience, an M.S. from the Missouri University of Science and Technology in Engineering