disciplines.Bibliography1. Aktan, B., Bohus, C.A., Crowl, L.A. & Shor, M.H., 1996, Distance learning applied to control engineering laboratories, IEEE Transactions on Education, Vol. 39, No. 3, pp. 320-326.2. Casini, M., Prattichizzo, D. & Vicino, A., 2003, The automatic control telelab: a user-friendly interface for distance learning, IEEE Transactions on Education, Vol. 46, No. 2, pp. 252-257.3. Hong Shen, Zheng Xu, Dalager, B., Kristiansen, V., Strom, O., Shur, M.S., Fjeldly, T.A., Jian- Qiang Lu & Ytterdal, T., 1999, Conducting laboratory experiments over the Internet, IEEE Transactions on Education, Vol. 42, No. 3, pp. 180-185.4. V. Genis, A. Daneshpooy, and C. O’Shaughnessy. Development of Videoconference Teaching for Applied Engineering
typical mobile robot.For each team, every student was responsible of a specific part of the robot. a) One mechanicalengineering technology student was in charge of the design and fabrication of the mechanicalbase, which included: the robot chassis, wheels, stability system, motors, and other small parts.All components were fabricated and/or assembled by this student to ensure that the vehicle wascapable of performing the desired tasks. b) An electrical engineering technology student was incharge of designing and building all the electronic interfaces. In particular, infrared and sonarsensor interfaces were required for obstacle detection and general environment information. c)The navigation of the vehicle was the responsibility of another
same point inthe semester: the final reflection in HON2150. The first distinction is simply in length: at 892words, Student A’s reflection closes with a length justification (again with an eye to a grade):“Though I have not quite achieved the expected word count for this reflection, I believe what Ihave written concisely conveys my point of view and demonstrates the aspects of a proficientreflective practice.” Student B’s reflection clocks in at 1447 words. The prompt was not exactlythe same; instead of asking students to place themselves on a scale of reflective proficiency, theprompt asked students to revisit their goals. Student B does rate themselves as achieving thesemarkers, but in a way that is clearly subsidiary to the personal
AC 2009-1092: DEVELOPMENT OF AN INTERDISCIPLINARYSERVICE-LEARNING PILOT PROJECT INCORPORATING UNIVERSALDESIGN CONCEPTS FOR ADA COMPLIANCEDonald Richter, Eastern Washington University DONALD C. RICHTER obtained his B. Sc. in Aeronautical and Astronautical Engineering from The Ohio State University, M.S. and Ph.D. in Engineering from the University of Arkansas. He holds a Professional Engineer license and worked as an Engineer and Engineering Manger in industry for 20 years before teaching. His interests include project management, robotics /automation, parametric modeling and rapid prototyping.William Loendorf, Eastern Washington University William R. Loendorf is currently an Associate Professor of
AC 2009-1302: THE ELECTRICAL ENGINEERING TECHNOLOGY PROGRAMEDUCATIONAL OBJECTIVES (PEOS): ARE THEY MEASURABLE, AND HOW?Nasser Alaraje, Michigan Technological University Page 14.1211.1© American Society for Engineering Education, 2009The Electrical Engineering Technology Program Educational Objectives: AreThey Measurable and How?AbstractThe Electrical Engineering Technology (EET) program developed a Program EducationalObjectives assessment process in response to ABET accreditation requirements. ProgramEducational Objectives (PEOs) describe the attributes that we desire our graduates to possess threeto five years after graduation1. The BS degree program in EET will prepare
sciences, technology, engineering, mathematics, and/or computational sciences. b. A professional skills component must be developed in consultation with leaders from the targeted industry, business, government, or nonprofit organizations. c. An experiential component that must include at least one capstone project, supervised collaboratively by faculty and employers, evaluated or graded by faculty, and typically developed with an employer(s), which integrates the practical application of scientific and professional knowledge, behavior, and skills. The experiential component typically includes a structured internship and provides an opportunity for students to
? Page 22.850.9 Appendix B Survey ResultsTo gauge the students’ understanding of nanotechnology and their perceptions about its impacton society, a survey is also conducted at the end of the course using a questionnaire (seeAppendix A). The results of the most recent (Fall 2010) student survey (N= 127) are as follows:Question 1. Do you have a clear understanding of what nanotechnology refers to? • More than 82% respondents agreed that they have a clear understanding of nanotechnology.Question 2. How will nanotechnology impact society? Select the level of followingnanotechnology on society? • There was a high level of agreement (95%) among respondents that
andassociate degree programs, the student outcomes must include, but are not limited to, thefollowing learned capabilities (listed in their respective columns).The outcomes are as follows: a. an appropriate mastery of the knowledge, techniques, skills, and modern tools of their disciplines Proposed – Baccalaureate Proposed - Associate an ability to select and apply the knowledge, an ability to apply the knowledge, techniques, skills, and modern tools of their techniques, skills, and modern tools of their disciplines to broadly-defined engineering disciplines to narrowly defined engineering technology activities technology activities b. an
learning how to usetheir keys, they use them to communicate with the class instructor during the semester in a Page 14.485.5secure fashion b .b. Digital Signature Systems: One other common use of public-key cryptography (except forencryption) is digital signature systems. In this lab, students learn the basics of digital signaturesystems using the GPG tool. Specifically, they learn how to sign and verify a document using thekeys created with the GPG tool in the previous lab.c. Network Sniffing Introduction: Often times, attackers/hackers perpetrate their maliciousactivities on available networking resources. For instance, even if one has the most
AC 2009-582: WEB-BASED CONTROL FOR MECHATRONICS LABORATORYEXPERIMENTSImmanuel Edinbarough, University of Texas, Brownsville Dr. Immanuel Edinbarough is a Professor in the department of Applied Engineering Technology at the University of Texas at Brownsville. He has successful track record spanning over 25 years in the service oriented and challenging fields of academia, industry and military. He is a hands-on manufacturing expert who has worked in several areas of engineering, manufacturing, and technical management including research, design, and production of mechanical, electronic, and electromechanical systems. Recognized trainer and resource person in the fields of CAD/CAM/CIM, Robotics and
2006-446: OUTCOME ASSESSMENT AND ACCREDITATIONKenneth Stier, Illinois State University Dr. Ken Stier is a professor and Coordinator of the Integrated Manufacturing Systems Program at Illinois State University. He received his Ed.D in Curriculum and Instruction and has been responsible for coordinating the assessment plan for the Manufacturing Systems Program for the last three years. He has served in various capacities on six accreditation site visits. Regular teaching responsibilities include courses in manufacturing processes, materials technology, and manufacturing organization and management.Richard Boser, Illinois State University Dr. Richard Boser is a Professor and Coordinator of the
Paper ID #18519Developing an Aeronautical Engineering Technology Course for CommercialSpace OperationsMs. Tracy L. Yother, Purdue University Tracy L. Yother is a PhD student in Career and Technical Education in the College of Education at Purdue University, West Lafayette, Indiana. Ms. Yother currently teaches the undergraduate Powerplant Systems course in the Aeronautical Engineering Technology (AET) program. She possesses a B.S. and M.S. in Aviation Technology. She also holds an airframe and powerplant certificate. Ms. Yother has 18 years’ experience in the aerospace and defense industry working for companies such as
Paper ID #15636Quality Matters: Development of an Online Course Shell for Quality-ControlCoursesDr. Nabin Sapkota, Northwestern State University of Louisiana Nabin Sapkota is an Assistant Professor in the Department of Engineering Technology at Northwestern State University. He received a B. E. degree in Production/Industrial Engineering from the Regional En- gineering College, Tiruchirappalli, Tamilnadu, India and a M.S. and Ph.D. in Industrial Engineering from the University of Central Florida (Orlando, FL, USA). He has a diverse expertise in the areas of Operations Research, Simulation, Quality Engineering, and
Computing, vol. 8, no. Page 24.2.14 4, 1993, pp. 287-294.4. Thorpe, J. F., “Design of Mechanical Systems: A Capstone Course in Mechanical Engineering Design,” ASEE Annual Conference & Exposition (ASEE 1984), pp. 803-807.5. Todd, R. H., S. P. Magleby, C. D. Sorensen, B. R. Swan and D. K Anthony, “A Survey of Capstone Engineering Courses in North America,” Journal of Engineering Education, vol. 84, no. 2, 1995, pp. 165-174.6. Banios, E. W., “Teaching Engineering Practices,” Proceedings, 1992 Frontiers in Education Conference, IEEE, 1992, pp. 161-168.7. Todd, R. H., C. D. Sorensen, and S. P. Magleby, “Designing a Senior
First Year of an Engineering and Computer Science Living- Learning Center. Baylor University, Texas.11. Smith, R. (2015). Magnets and Seekers: A Network Perspective on Academic Integration inside Two Residential Communities. Journal of Higher Education (Nov/Dec 2015). Vol 86, 8. p.893-92212. Spanierman, L., Soble, J., Mayfield, J., Neville, H., Aber, M., Khuri, L., & De La Rosa, B. (2013). Living Learning Communities and Students’ Sense of Community and Belonging. Journal of Student Affairs Research and Practice, 50(3), 308-325).13. Tito, V. (1998). Learning Communities: Building Gateways to student success. The National Teaching and Learning Forum. 7(4). Retrieved from https://vtinto.expressions.syr.edu/wp- content
must demonstrate the ability to accomplish theintegration of systems using appropriate analytical, computational, and application practices andprocedures… must demonstrate the ability to apply knowledge of probability, statistics,engineering economic analysis and cost control, and other technical sciences and specialtiesnecessary in the field of industrial engineering technology3”. According to ABET,manufacturing deals with value-added transformations in shape, form or properties of materials4.The specific ABET ETAC student outcomes for Engineering Technology are4: a. An ability to select and apply the knowledge, techniques, skills, and modern tools of the discipline to broadly-defined engineering technology activities b. An ability
AC 2008-975: AN EXPLORATORY ASSESSMENT OF DISTANCE ANDON-GROUND DELIVERY OF BUSINESS, MATH AND ENGINEERINGTECHNOLOGY COURSESMeral Anitsal, Tennessee Tech University Dr. M. Meral Anitsal is an Assistant Professor of Marketing at Tennessee Tech University. Dr. Anitsal holds a Ph.D. in Marketing from the University of Tennessee, Knoxville. Her current research interests focus on measurement of customer value for products and services, especially educational services in active learning environment.Ismet Anitsal, Tennessee Tech University Dr. Ismet Anitsal is an Assistant Professor of Marketing at Tennessee Tech University. Dr. Anitsal holds a Ph.D. in Marketing from the University of Tennessee
(Appendix B and C). Studentswho do not have an AAS degree but have completed a certificate and/or with documented workexperience in a related or complementary field, could matriculate to the BS degree using theportfolio option (Appendix D).Other collaborators on the project is an an experienced energy auditor who has performed wellover 250 industrial energy assessments in US and China. He heads the Industrial AssessmentCenter for the state of West Virginia and conducts energy audits on a regular basis for US DOE’sSave Energy Now (SEN) program. While he has expertise in a variety of areas, his specificexpertise is in compressed air and process heating systems, which are two of the highest energyconsuming processes within facilities in Missouri. The
Bandura’s general social cognitive theory.This study implemented a non-experimental, quantitative methods approach to data collectionand analysis. A cross-sectional survey design was used as it was the most effective method incollecting large quantities of data quickly and efficiently. The study was non-experimentalbecause the independent variables were not manipulated in any way and there was no controlgroup to compare the results of the study. The independent variables used in the study weregender and ethnicity. The dependent variables were a) high school academic success, b)influences, c) personal interests, and d) self-efficacy. The study was developed to reveal thevarious motivational factors that impacted students’ decisions to enroll in an
(Co-PI), Gavrin(Co-PI), Marrs (Co-PI),Mzumara(Co-PI), “Central Indiana STEM Talent Expansion Program”, January, 2011 3. Dewey, John. 1938/1963. Experience & Education, Collier Books, New York.. 4. Kolb, David. 1984. Experiential Learning: experience as the source of learning and development. Englewood Cliffs, NJ: Prentice Hall. 5. Kayes, A. B., Kayes, D. C., & Kolb, D. A. 2005. Experiential learning in teams. Simulation & Gaming, 36(3), 330-354. 6. IUPUI ET Students, “SiPP Student Essay”, July, 2012, July 2013, July 2014 Page 26.1441.8
faculty, manage enrollment and employment fluctuations, andprovide subject-matter-expertise that may otherwise be lacking in a particular context, amongother reasons. The preparation, performance, and impact of part-time faculty is significant, ashigher education leaders and external stakeholders press for quality, accountability, andcontinuous improvement of programs and institutions. Thus, a challenge for engineeringtechnology programs is to make certain that part-time faculty members possess both theacademic and professional qualifications for employment, and to ensure that these colleagues areappropriately supported in order to be effective in their role.This paper presents results of a qualitative study of part-time faculty members in
terms assessed used by group members A 4 5 3 B 7 7 2 C 3 1 6 D 5 4 7 E 6 6 5 F 1 2 4 G 2 3 1Figure 11. Ranking of project teams in three factorsFor example, project group G ranked 2nd in Student Outcomes ratings, and 1st in average numberof terms used in the essay. But this analysis could not be
Page 12.906.1© American Society for Engineering Education, 2007 Instructional Strategies and Tools to Teach Six Sigma to Engineering Technology Undergraduate StudentsAbstractThis paper presents innovative instructional strategies and tools to teach Six Sigma toEngineering Technology undergraduate students. Six Sigma is an improvement methodologyfocusing on understanding and reducing variation in processes. Many students can easily learnand even apply the basic quality tools in a separate and non-integrated manner, but the realchallenge is to help the students learn and apply the tools of Six Sigma in a synthesized way toattain the true power of an integrated approach. This paper will discuss the
. College composition and communication, 122-128 (1977).15 Emig, J. Writing as a Mode of Learning. Landmark Essays on Writing Across the Curriculum, 89-96 (1994).16 Galbraith, D. Writing about what we know: Generating ideas in writing. Sage handbook of writing development, 48-64 (2009).17 Oatley, K. & Djikic, M. Writing as thinking. Review of General Psychology 12, 9 (2008).18 Ong, W. J. Orality and literacy: The technologizing of the word. (Routledge, 2012).19 Klein, P. D. & Yu, A. Best practices in writing to learn. Best practices in writing to learn (2nd ed.), The Guilford Press, New York, 166-189 (2013).20 Bangert-Drowns, R. L., Hurley, M. M. & Wilkinson, B. The Effects of School-Based
customer service. ‚ Improved employee satisfaction resulting in fewer turnovers. ‚ Quicker and more accurate view of status of applications.References 1. “Six Sigma: What It Is and How to Use It.” Harvard Management Update June 1999, pp. 6- 7. 2. Breyfogle W.F., M.J. Cupello, and B. Meadows. Managing Six Sigma: A Practical Guide to Understanding, Assessing and Implementing the Strategy that Yields Bottom Line Success. Hoboken, NJ: John Wiley & Sons, 2001. ISBN 0-471-39673-7. 3. Hahn J.G., N. Doganaksoy, and R. Hoerl. “The Evolution of Six Sigma.” Quality Engineering Journal, vol. 12, no. 3, 2000, pp. 317- 326. 4. http://www.surveysystem.com/sscalc.htm 5. Fisher, R.A. (1956), Statistical
instructional and occupational Page 13.289.2information for their potential to produce and validate (a) objectives—statements that describethe expected accomplishments of engineering technology graduates during the first few yearsafter graduation and (b) outcomes—statements that describe what engineering technologystudents are expected to know and be able to do upon fulfilling their graduation requirements.1Occupational Information NetworkThe ubiquitous Dictionary of Occupational Titles,2 or DOT, was once the principle resource usedto match job seekers to jobs based on occupational definitions. The DOT organized jobs bygroups call occupations based
) and student learning/success in terms of self reported technicalcompetency (effect size is medium), (b) faculty teaching techniques (FTT) and studentlearning/success in terms of self reported technical competency (effect size is medium-to-large), (c) faculty commitment to student success (FCSS) and student learning/success interms of self-reported technical competency (effect size is medium), (d) faculty technicalcurrency (FTC) and faculty teaching techniques (FTT) [large effect size], and, (e) facultytechnical currency (FTC) and faculty commitment to student success (FCSS) [effect sizeis large]. An effect size is a quantitative indicator used in correlational studies to signifythe statistical significance regarding the strength of the
Page 15.513.1© American Society for Engineering Education, 2010 Enhancing Student Classroom Engagement Through Social Networking TechnologyAbstractThe terms Web 2.0 technologies and social networking technology (SNT) are an obvious part ofour personal lives and are increasingly becoming a part of the higher education experience.However, can they be used in the higher education classroom to enhance student engagement?This paper reports on preliminary data from surveys of current engineering and technologystudents and faculty in the Purdue School of Engineering and Technology at IUPUI. In addition,it reviews current literature on social networking technology and educational best practices.Results
Real Projects," Proceedings 2001 Frontiers in Education Conference,Oct. 2001, Reno, NV.[8] Wong, P., & Pejcinovic, B., “Teaching MATLAB and C Programming in First-year Electrical EngineeringCourses Using a Data Acquisition Device,” Proceedings ASEE Annual Conference and Exposition, June 2015,Seattle, Washington.[9] Ageenko, E., La Russa, G., "A Visualization Toolkit for Teaching, Learning and Experimentation in ImageProcessing," Frontiers in Education Conference 2005.[10] Aleksi, I.; Kraus, D.; Hocenski, Z., "Multi-language programming environment for C++ implementation ofSONAR signal processing by linking with MATLAB External Interface and FFTW," Proceedings ELMAR 2011Conference, September 2011, Zadar, Croatia.[11] Fincher, S., "What are
thisprogram, high school students engaged in the pre-engineering curriculum can take Drexel’sthree-credit courses and collect up to 18 credits toward a B.S. degree if the earned grades are A,B, or C. The following laboratory / project-based courses have been taught to the students whoparticipated in this program within the AET major: 1. Introduction to Applied Engineering Technology. 2. Graphical Communications. Page 13.210.3 3. Introduction to Electric Circuits.During the past three years, the AET faculty and administration have been developingarticulation agreements with local high schools and have taught pre-engineering courses to high