Engineering Technology (or discipline specific Engineering Technology) is a critical component of the concerned academic unit and provides additional opportunities for professional and intellectual development at the Masters and Ph.D. level. Thus, several academic departments offering a bachelor‟s degree in Engineering Technology have developed graduate programs. Most of the graduate programs offer a Masters in Technology with concentrations in a specific discipline such as Electrical Engineering Technology, Engineering Technology, Innovation, Energy etc. The number of universities or departments offering Masters programs in Engineering Technology or related field is relatively low (15-20) as compared to the total number of departments
formulatingoptimization problems is developed and implemented. The pilot experiment, as described byChelst and Edwards (2005), is called the Lego® furniture. In this experiment, a furniturecompany has two types of resources available: small and large pieces; and produces two types ofproducts: tables and chairs. Industrial Engineering students at the bachelor and master levelwere given the Lego® furniture problem to formulate as an optimization problem defined by thedecision variables, the objective function, and a set of constraints. This exercise serves as anintroduction to the OR course. It complements lectures, seminars, and case studies used in thistype of courses. The exercise is intended to produce formulation-of-the-problem attitude amongthe students. The
Paper ID #41414QCTaaS (Quality Cloud Teaching as a Service): An Immersive Frameworkfor Teaching Cloud Computing for Cybersecurity MajorsDr. Mahmoud K Quweider, The University of Texas Rio Grande Valley M K Quweider is a Professor of Computer and Cybersecurity Sciences at the U. of Texas at UTRGV. He received his Ph.D. in Engineering Science (Multimedia and Imaging Specialty) and B.S. In Electrical Engineering, M.S. in Applied Mathematics, M.S. in Engineering Science, and M.S. in Biomedical Engineering all from the University of Toledo, Ohio. He also holds a Bachelor/Master of English and a Master of Business Administration
include systems engineering competency development, systems thinking and systems engineering education. Alice is the Chair of the Systems Engineering Division of ASEE and has a Masters in Business Administration (MBA) and Bachelors of Science in Electrical Engineering (BSEE). Alice received the Stevens Institute of Technology Provost’s Online Teaching Excellence Award in 2007.David H. Olwell, Naval Postgraduate School Dr. Olwell is Professor and immediate past chair of the Department of Systems Engineering at the Naval Postgraduate School. He is currently the co-principal investigator (with Dr. Art Pyster of Stevens Institute) on a multi-year, multi-national effort to define the systems engineering body of knowledge and a
are summarized in Table 4.Table 4: Choice and Rating Summary on Engineering experiences: Choice Frequency Average Questions 1 2 3 4 5 RatingRoutine technical operating abilities 1 4 26 26 7 3.52Speed of acquiring new operating techniques 2 0 19 35 8 3.72Speed of mastering new operating techniques 2 4 28 26 4 3.39Ability to solve new production problems 0 5 22 25 12 3.69Ability to actively conduct engineering experiments
to permit students to concentrate on mastering subject matter at the twohigher levels of learning.A third issue was active learning. Non-lecture approaches such as discussion, case study, sitevisits, interviews, in-class assignments, student presentations, and design projects enabledstudents to be active participants in their own learning. Some assignments asked students’ Page 2.437.21 Internet and library searches were performed.opinions regarding their thoughts, feelings, and progress as a result of having participated inthem. Thus, students documented the success of these methods by means of the portfolio.The final issue addressed was
shortcomings can be overcome by using a Competency Matrix.Tyler2 (page 50) may have actually developed the first Competency Matrix. The current use ofCompetency Matrices in assessment has been extensively reported elsewhere5 , thus only a verybrief overview will be presented here. A Competency Matrix is similar to the ArticulationMatrix, in that it details the competencies to be mastered in the first few columns. A typicalmatrix shows a three level deep organization to the competencies (see Figure 3), the top levelbeing Learning Outcome, the next level down being Competency Category, and the lowest levelbeing the Competencies themselves. The first Learning Outcome for the Thermodynamicscourse does not appear in Figure 3 but is Modeling Thermal Systems
. Keating, T. G. Stanford, A. L. McHenry, E. M. DeLoatch, D. R. Depew, N. Latif, G. R. Bertoline, S. J. Tricamo, H. J. Palmer, K. Gonzalez-Landis, E. Segner, J. P. Tidwell, D. H. Quick, J. M. Snellenberger, R. N. Olson, J. O’Brien, L. A. Hammon, J. Spencer, J. Sargent, “Enabling a Strong U.S. Engineering Workforce for Leadership of Technology Development and Innovation in Industry: Critical Skill- Sets for Early Career Development Leading to the Professional Master of Engineering,” Proceedings of the 2006 National Meeting of ASEE, Chicago, IL, June, 2006.5. Dunlap, D. D., D. A. Keating, T. G. Stanford, A. L. McHenry, E. M. DeLoatch, P. Y. Lee, D. R. Depew, G. R. Bertoline, M. J. Dyrenfurth, S. J. Tricamo, I. T. Davis, J. P
-leader position they must look forward and understand their corporate organizationsin terms of long range strategic-systems plans. They must begin to think in terms of strategic engineeringsystems and overall systems approaches for their company’s future technological advances.2-2-3. Technical & leadership skills - Growth of a Mid level Engineer (leader/Planner) skills (bothtechnical and leadership) ─ The Mid level leader/planner must continue to grow/expand both theirtechnical and leadership skills. Additional technical skill training will give the Mid level Engineer theadditional technical skills required to better master his/her area of expertise so to better lead a group ofengineers, and/or plan the manpower and timing of projects
withdefining the types of written communications important for students in each program. It thenidentifies the courses and the appropriate type of writing that may be integrated into thecurriculum. Specific signature assignments for each type of written communication have beendeveloped and embedded in course syllabi. These signature assignments follow an IDM(introduce, develop, master) sequence, which makes sure that students can master and getadequate practice in required written communication before they get to their capstone/master’sproject courses. Rubrics and useful resources such as samples, helpful hints and FAQs are beingdeveloped for students to use with each type of writing assignment. We believe that the proposedmethod would enable our
. Summary of Verification Architecture Modules2.2 Models Models are modules that emulate actual devices and modules that are interfaced to theDUT. A model can be a memory device, a memory controller or another bus master in a bus-based design. Models can be created along with utilities that can assist the verification. They areincluded in the architecture to make the test easier rather than to create another bottleneck inverification. For example, it is very helpful if a task can be called from the test to return the Page 10.462.4current contents of a memory device by giving the start address and the number of bytes.Through this task
transdisciplinary project onstudent learning, utilizing a combination of project reports, presentations, and a student surveyfollowed by content analysis. Results indicate significant benefits in terms of students' exposure tonew technologies notably 3D printing, improved interdisciplinary communication, and the practicalapplication of classroom knowledge. Challenges such as effective communication within diverseteams and mastering technical tools are identified; future improvements are discussed. This studydemonstrates the potential of cross-disciplinary projects in enhancing student learning byemphasizing the significance and relevance of class materials to topics outside students’ immediatefields, and providing practical, collaborative experiences that
difficulty associated with mastering aparticular technique. We have established a scale for the level required for mastery asfollows: • Level 1 = very easy to master • Level 2 = easy to master • Level 3 = mid-level difficulty to master • Level 4 = hard to master • Level 5 = very hard to master.This mastery level scale is preliminary and will require validation through the collection ofdata from multiple samples of designers of different cognitive levels.To illustrate our proposed framework, selected divergent techniques are presented in Table 1,where they are organized in terms of the range of cognitive styles they simulate and the levelrequired for their mastery. Similarly, selected convergent techniques are shown
inter/multi-disciplinary coursework that forces students to learn some aspects of the other disciplines and to cause real-worldpersonality and technical issues to arise between functional areas. [2]CTech IncUBator@University of Bridgeport is a new university-based incubator intended to hasten and support thegrowth of startup technology companies. The CTech IncUBator is located on the UB campus, and focuses only ontechnical startup businesses. The incubator’s founding sponsors include Connecticut Innovations, Inc., theUniversity of Bridgeport, and The United Illuminating Company.The University of Bridgeport offers a variety of Bachelors and Masters degrees. As examples, the School ofBusiness offers Bachelors and Masters of Business
Belgium.Underwater power grids are required to move the electricpower from the offshore generators to the land-basedconsumers. Distance of these offshore wind farms from landand the proximity to land-based grid connection points haveAppendix B. The Engineering Professional Skills (EPSA) Rubric (one-page version - March 2014) ABET Skill 3f Understanding of professional and ethical responsibility 0 ‐ Missing 1 ‐ Emerging 2 ‐ Developing 3 ‐ Practicing 4 ‐ Maturing 5 ‐ Mastering Stakeholder Perspective Students do not Students identify few and
to re-turn in a part-time capacity as ‘Master Teachers’. A maximum of five participants were slotted intothe program to return as Master Teachers; 4 teachers took advantage of this opportunity in 2017and 4 again in 2018. The primary role of the Master Teachers was to attend and lead collaborationmeetings with new participants, typically held once per week. Master Teachers also provided sup-port to new teachers in the development of their final deliverables (lesson or unit plans) that werepresented at the showcase of lessons and developed (and presented) a new lesson or unit plan fortheir own classrooms. The 2017 and 2018 summer trainings also hosted science curriculum special-ists from JeffCo and Denver Public Schools. The inclusion of a
faculty worked with these graduate studentsboth in Master and Ph.D. level. Several studies on the relationship between graduate student andtheir advisors have been conducted in the past. These studies are concerned with various issuesaffecting the mentoring relationship. However, there has never been a study on this mentoringrelationship specifically at Purdue University. This project is a study of the mentor relationship between mentor and mentee, or facultyand graduate students at Purdue University. Graduate students were invited to participate in thesurvey through email. The survey was conducted online anonymously. This study consists ofquantitative and qualitative analysis. The existing mentoring relationships are identified in orderto
, graduate, and professional endeavors. For the past nine years, she has been heavily involved with the recruitment, mentoring, and tutoring of racially minoritized groups within engineering through her employment with diversity, k-12, and minority engineering programs, and through membership in profes- sional societies. Fantasi Nicole received her Bachelor of Science in Industrial and Systems Engineering at Mississippi State University in 2016, and her Master of Industrial and Systems Engineering at Auburn University in 2017. She worked as a Manufacturing Engineer in Stamping Engineering for Ford Motor Company before making the decision to pursue her PhD in Engineering Education at Purdue.Prof. Jennifer DeBoer, Purdue
a master American Sign Language (ASL) translator. He is passionate about exposing ASL to audiences in multiple fields such as businesses, organizations, art, and the performing arts. His passion and experiences led him to establish a deaf troupe called INTO ACT. He participated twice in the Next Big Idea competition at the National Technical institute for the Deaf, won awards on language acquisition in ASL in synonyms, and was recognized for his services towards ASL accessibility. He is currently a founder/designer at ASLCART, LLC where he designed the top selling ASL card game called ABC LUCK! c American Society for Engineering Education, 2019 Does "affordance" mean
(FGCU). Success in this course is critical to success in follow-up mechanics coursesand upper-level engineering courses. Data has been collected on students’ performance onhomework, quizzes and exams, and also on the students’ thoughts on learning and coursedelivery. Thus far, we have concluded that the use of traditional hand-written homework,frequent assessment via quizzes [1], or the Pearson Mastering Engineering [2] software forformative assessment did not have a significant impact on students’ performance on exams. Itwas also observed that neither traditional nor online homework scores correlated well with examscores; however, in-class quizzes did correlate with final exam scores. Most recently, using theMastering Engineering Online system
fellow in water, energy and environmental policy at the University of Texas at Austin He is a published author and has written numerous papers on water resources and professional topics. Mark completed his Masters of Science in Civil Engineering at the University of Washington. He holds a specialty certification from the American Academy of Water Resources Engineers and is a licensed Professional Engineer (civil) in the State of Washington.Mr. Eric Lee Flicker PE, Pennoni Associates Inc. Eric L. Flicker, P.E. Mr. Flicker currently serves as a part-time Senior Consultant with Pennoni Associates Inc. For 10 years prior, he was the Chief Financial and Administrative Officer, responsible for Accounting and Finance
for Higher Education and the Working Group for Engineering Education at the German Society for Higher Education (dghd).Prof. A. Erman Tekkaya, TU Dortmund University Since 2007, A. Erman Tekkaya is Professor at the TU Dortmund University and Head of the Institute of Forming Technology and Lightweight Construction (IUL). Since 2011 he is senior coordinator of the MMT degree program, the Master of Science in Manufacturing Technology. Since October 2014 he is also Dean of the Faculty of Mechanical Engineering. A. Erman Tekkaya studied mechanical engineering at the Department of Mechanical Engineering at the Middle East Technical University in Ankara. He finished his PhD in 1985, at the Institute for Metal Forming
juxtaposition between the dominant narrative of what it means to be anengineer and the aspired narrative of the community-engaged engineer, we rely on the masternarrative identity framework [16]. As put by McLean and Syed, master narratives are “culturallyshared stories that tell us about a given culture, and provide guidance for how to be a ‘good’member of a culture” (p. 320) [16]. They note that an individual’s personal narrative of identityoperates in negotiation with relevant master narratives that characterize groups that theindividual must contend with (e.g., an engineering student’s personal identity in relation to whatthey perceive it means to generally be an engineer). In negotiation with the master narrative, anindividual might find that they
crop cycles currently dominatingMaryland and Pennsylvania farms. This program is formulated as a project-based learning(PBL) initiative. In particular, the program is a Capstone Design 2-semester course thatadditionally has design and build criteria as a requirement. Completion of this project is arequirement for graduation, and students usually take the capstone design course in their senioryear. Because this course is within the Engineering and Computer Science curriculum of thecollege, however, many of the topics that the students are required to learn are well outside oftheir typical course requirements. In this paper, we detail the approach to having undergraduatestudents research and master multiple technology areas and then apply them
have formeda collaboration to develop a new vision of engineering education called the CDIO Approach(www.cdio.org).3 CDIO is designed to deliver the knowledge and skills needed by industry. Itprovides an education stressing engineering fundamentals, set in the context of the Conceiving,Designing, Implementing, and Operating process. The goals of the CDIO approach are toeducate students who are able to: ≠ Master a deeper working knowledge of the technical fundamentals ≠ Lead in the creation and operation of new products, processes, and systems ≠ Understand the importance and strategic impact of research and technological development on societyThe CDIO approach identifies and implements 12 Standards of Effective Practice
program in 2015.Ms. Meghan M. Alexander, Texas A&M University Meghan M. Alexander is the assistant director for Engineering International Programs at Texas A&M University. She has an M.Ed. in Counseling and over 15 years experience in international education and partnerships.Mr. Victor Manuel Camara-Poot, Yucatan Government Ministry of Education A graduate of the Masters in Government and Public Policy by te Universidad Aut´onoma de Yucat´an (UADY) , workink since 2 years ago as Head of the Department of Planning and Strategic Projects at the Department of Higher Education in the Ministry of Education of the Yucatan Government in Mexico . Throughout his career he has worked in entrepreneurial activities
. (2005) present the most comprehensivetreatment of family friendly policies at American universities and colleges to date8. In theiranalysis they find that research-intensive doctorate-granting universities offer the largest numberof policies related to work-life balance. These policies include paid parental leave and dependentcare, tenure-clock extension, reduced workload and release from work responsibilities such as Page 24.1200.4teaching. In decreasing order, doctorate-granting (non-research intensive), masters’ colleges, 4-year colleges and 2-year associate colleges follow research-intensive doctorate grantinguniversities in the number of
Paper ID #36726A framework for Industry 4.0 workforce training throughproject-based and experiential learning approachesJoseph Ekong Dr. Joseph Ekong is an Assistant Professor in the Department of Industrial Engineering and Engineering Management at Western New England University. Previously, he served on the faculty at Ohio Northern University. Dr. Ekong received his Bachelor of Engineering degree in Electrical and Electronics Engineering from the University of Uyo, Nigeria in 2005 and Master of Science degree in Industrial and Systems Engineering from Georgia Institute of Technology in 2009. He also received a Ph.D
thefollowing categories: knowledge, comprehension, application, analysis, synthesis, andevaluation. Bloom’s has evolved over time, with a notable revision in 2001 by Anderson andcolleagues [13] [14]. Importantly, one of the changes that the 2001 revision [13] made was toreorder the categories and utilize verbs, including the following revised categories: remember,understand, apply, analyze, evaluate, and create.Following this revision, Newton and colleagues [15] created a master list of action verbs forBloom’s by utilizing a “simple majority consensus method” [15]. This method sought to bringconsensus to the verbs being utilized by forty-seven separate and publicly available lists of verbsthat had been created, sometimes without a rationale for why
. Learning Glass videos (screenshots) a) Springs-mass system b) gear-rack c) pendulum d) pulley system Figure 2. Solidwork animation of mechanical systemStudent assessmentsThe courses provide different forms of assessments, Table 1 shows assessment activities with thepercentage over total grade. For assignments and assessment, the course is supported by MyLaband Mastering from Pearson, which is a learning platform. The students have to do weeklyassignments that involve six to eight problems that will serve as a practice to master the materiallearned in class. The students have several attempts to input the correct answer and the softwareprovides tips and hints per request of the students. The platform