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Displaying results 7501 - 7530 of 34727 in total
Conference Session
Entrepreneurship & Engineering Innovation Division Technical Session 8
Collection
2018 ASEE Annual Conference & Exposition
Authors
Cynthia C. Fry, Baylor University; Kenneth W. Van Treuren, Baylor University
Tagged Divisions
Entrepreneurship & Engineering Innovation
Analyst. She was the owner and chief systems engineer for Systems Engineering Services (SES), a computer systems design, development, and consultation firm. She joined the faculty of the School of Engineering and Computer Science at Baylor University in 1997, where she teaches a variety of engineering and computer science classes, she is the Faculty Advisor for the Women in Computer Science (WiCS), the Director of the Computer Science Fellows program, and is a KEEN Fellow. She has authored and co- authored over forty peer-reviewed papers.Dr. Kenneth W. Van Treuren, Baylor University Ken Van Treuren is an Associate Professor in the Department of Engineering at Baylor University. He received his B. S. in Aeronautical
Conference Session
Women in Engineering Division Technical Session 5
Collection
2018 ASEE Annual Conference & Exposition
Authors
Kristin E. Sherwood, Stony Brook University; Angela M Kelly, Stony Brook University; Monica Bugallo, Stony Brook University
Tagged Topics
Diversity
Tagged Divisions
Women in Engineering
status,” Journal of Science Education and Technology, vol. 18, pp. 163-172, 2009.[3] C. Adelman. Women and Men of the Engineering Path: A Model for Analyses of Undergraduate Careers. Washington, DC: US Government Printing Office, 1998.[4] S. Bhatia and J. P. Amati, “’If these women can do it, I can do it, too’: Building women engineering leaders through graduate peer mentoring,” Leadership and Management in Engineering, vol. 4, pp. 174-184, 2010.[5] C. Poor and S. Brown, “Increasing retention of women in engineering at WSU: A model for a women's mentoring program,” College Student Journal, vol. 3, 421-428, 2013.[6] B. Sattler, A. Carberry, and L. D. Thomas, “Peer mentoring: Linking the value of a
Conference Session
International Division Technical Session 2
Collection
2019 ASEE Annual Conference & Exposition
Authors
Claude Brathwaite, City College of the City University of New York; Julianne Vernon, Vanderbilt University; Claudia Ventura
Tagged Topics
Diversity
Tagged Divisions
International
:10.1002/job.430[4] C.-P, Lin, & Y. -F. Chen. Modeling Team Performance. Journal of Leadership & Organizational Studies. 2015; 23(1), 96–107.doi:10.1177/1548051815616252[5] L. Melita Prati, C. Douglas, G. R. Ferris, A. P. Ammeter, M. R. & Buckley. Emotional Intelligence, Leadership, Effectiveness, and Team outcomes. The International Journal of Organizational Analysis, 2003; 11(1), 21–40.doi:10.1108/eb028961.[6] J. Fransen, P. A. Kirschner, & G. Erkens. Mediating team effectiveness in the context of collaborative learning: The importance of team and task awareness. Computers in Human Behavior, 2011;27(3), 1103–1113.doi:10.1016/j.chb.2010.05.017[7] S. Mohammed, B. C. Dumville. Team mental models in a team knowledge
Conference Session
NSF Grantees Poster Session
Collection
2019 ASEE Annual Conference & Exposition
Authors
Rick Olson, University of San Diego; Susan M. Lord, University of San Diego; Michelle M. Camacho, University of San Diego; Ming Z. Huang, University of San Diego; Leonard A. Perry, University of San Diego; Breanne Przestrzelski, University of San Diego; Chell A. Roberts, University of San Diego
Tagged Topics
NSF Grantees Poster Session
provided helpful criticism that makesus more effective.This work is supported by the National Science Foundation’s Revolutionizing Engineering andComputer Science Departments (RED) program through Award #1519453.References[1] S. M. Lord, J. A. Meija, G. Hoople, D. Chen, O. Dalrymple, E. Reedy, B. Przestrzelski, andA. Choi-Fitzpatrick, “Creative Curricula for Changemaking Engineers”, Proceedings of theWEEF-GEDC 2018 Conference, Albuquerque, New Mexico, November, 2018.[2] S. M. Lord, B. Przestrzelski, and E. Reddy, “Teaching Social Responsibility: ConflictMinerals Module for a Circuits Class”, Proceedings of the WEEF-GEDC 2018 Conference,Albuquerque, New Mexico, November, 2018.[3] S. M. Lord, B. Przestrzelski, and E. Reedy “Teaching social
Conference Session
Systems Engineering Division Technical Session 3 – Course and Program Outcomes
Collection
2018 ASEE Annual Conference & Exposition
Authors
Zachary David Asher, Colorado State University; Nicole L Ramo, Colorado State University; Thomas H. Bradley, Colorado State University
Tagged Topics
Diversity
Tagged Divisions
Systems Engineering
settings to generalize our findings, identifyingwhich SE principles may be most effective, and investigating the role of previous SE education inmultidisciplinary course outcomes.References [1] George Vachtsevanos [et. Intelligent fault diagnosis and prognosis for engineering systems. John Wiley & Sons, Hoboken, N.J., 2006. [2] Armando Rugarcia, Richard M Felder, Donald R Woods, and James E Stice. The future of engineering education i. a vision for a new century. Chemical Engineering Education, 34(1):16–25, 2000. [3] Tim King. Millwrights to mechatronics: The merits of multi-disciplinary engineering. Mechatronics, 5(2): 95–115, March 1995. [4] M B Manju, K S Nikhil, D Nishanth, K S Sai Vignesh, B S Anupama, and Madhav Murthy
Collection
2018 ASEE Conferences - Conference for Industry and Education Collaboration / San Antonio proceedings
Authors
Soma Chakrabarti
Housing EI EDU SOHE Administration Admissions OSFA ENGR LAW Summer Term Office DCS External Relations and IES L&S Foundation Partnerships SMPH NURS Course Design Marketing ONLINE INSTRUCTIONAL COURSE DESIGN DCS Online Course Development
Conference Session
Track: Learning Spaces, Pedagogy, and Curriculum Design Technical Session 3
Collection
2019 CoNECD - The Collaborative Network for Engineering and Computing Diversity
Authors
Elizabeth Hane, Rochester Institute of Technology; Scott Franklin, Rochester Institute of Technology
Tagged Topics
Diversity, Learning Spaces, Pedagogy & Curriculum Design
Medicine, How People Learn II: Learners, Contexts, and Cultures, Washington, DC: National Academies Press, 2018.[11] K. D. Tanner, "Promoting Student Metacognition," CBE-Life Sciences Education, vol. 11, pp. 113-120, 2012.[12] G. Schraw, K. Crippen and K. Hartley, "Promoting self-regulation in science education: metacognition as part of a broader perspective on learning," Research in Science Education, vol. 36, pp. 111-139, 2006.[13] T. D. Baird, D. J. Kniola, A. L. Lewis and S. B. Fowler, "Pink Time: Evidence of self-regulated learning and academic motivation among undergrduate students," Journal of Geography, vol. 114, no. 4, pp. 146-157, 2015.[14] A. Bandura, "Self-efficacy: toward a unifying theory of behavioral change
Conference Session
PSW Section Meeting Papers - Disregard start and end time - for online paper access only
Collection
2019 Pacific Southwest Section Meeting
Authors
Pradip Peter Dey, National University
Tagged Topics
Diversity, Pacific Southwest Section Meeting Paper Submissions
, HassanBadkoobehi, Laith Al Any, Jay Dey, and many others for their suggestions, encouragements,cooperation, and/or help during the preparation of this paper.REFERENCES[1] Ainsworth, S., (2006). DeFT: A conceptual framework for considering learning with multiple representations. Learning and Instruction, 16, 183-198.[2] Bailey, T., Jenkins, D., & Leinbach, T. (2005). Community college low-income and minority student completion study: Descriptive statistics from the 1992 high school cohort. New York: Columbia University, Teachers College, Community College Research Center.[3] Braude, E., Bernstein, M. Software Engineering: Modern Approaches, (2nd Edition), John Wiley & Sons, 2011.[4] Brenner, M.E., Brar, T., Duran
Conference Session
Design in Engineering Education Division: Design Mental Frameworks
Collection
2019 ASEE Annual Conference & Exposition
Authors
Jenni Buckley, University of Delaware; Sara Bernice Grajeda, University of Delaware; Amy Trauth, University of Delaware; Dustyn Roberts P.E., Temple University
Tagged Topics
Diversity
Tagged Divisions
Design in Engineering Education
,Washington, DC, 2010, p. F4H–1.[8] Morozov, D. Kilgore, and C. Atman, “Breadth in design problem scoping: Using insightsfrom experts to investigate student processes,” in ASEE Annual Conference and Exposition,Honolulu, HI, 2007.[9] S. Ingram and A. Parker, “The influence of gender on collaborative projects in an engineeringclassroom,” IEEE Trans. Prof. Commun., vol. 45, no. 1, pp. 7–20, 2002.[10] T. C. Brown and G. P. Latham, “The effects of behavioural outcome goals, learning goals,and urging people to do their best on an individual’s teamwork behaviour in a group problem-solving task.,” Can. J. Behav. Sci. Can. Sci. Comport., vol. 34, no. 4, p. 276, 2002.[11] C. O. L. H. Porter, “Goal orientation: Effects on backing up behavior, performance
Conference Session
Study Abroad Experiences Intl Div Tech Session 9
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Heather N. Yates, Oklahoma State University; Blake Wentz, Milwaukee School of Engineering ; Sreemala Das Majumder, Oklahoma State University
Tagged Divisions
International
Design Courses alsoprovide opportunities for global exposure as student learn and work on cross cultural teams usingelectronic communication technology. While experiencing other cultures firsthand provides themost comprehensive international experiences, other alternate options should be explored toincrease the global competence of the 98% of college students that are not currently getting thebenefits of international exposure.References:[1] E. Bradner and G. Mark, “Why Distance Matters : Effects on Cooperation , Persuasion and Deception,” pp. 373–382.[2] J. L. Steele and M. A. P. Murray, “Constructing the team—A multicultural experience,” Proc., Chart. Inst. Build., 2000.[3] D. G. Donahue and S. Altaf, “Learn by Doing: Expanding
Conference Session
Design Teams 1
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Akhil Krishna Mohan, University of Illinois at Urbana-Champaign; Priyanka Dey, University of Illinois at Urbana-Champaign; Sizhi Tan, University of Illinois at Urbana-Champaign; Blake Everett Johnson, University of Illinois at Urbana-Champaign; Wade Fagen-Ulmschneider, University of Illinois at Urbana-Champaign ; Mariana Silva, University of Illinois at Urbana-Champaign
Tagged Topics
Diversity
Tagged Divisions
Design in Engineering Education
theoretical satisfaction 2 • σnum - (normalized) variance in number of students per group, 2 • γ1 - weight of σnum ’s contribution to the fitness, 2 • σgpa - (normalized) variance in average GPA per group, 2 • γ2 - weight of σgpa ’s contribution to the fitness,and the maximum theoretical satisfaction smax are calculated assuming that every student wasplaced at their most preferred project, i.e., the sum of the highest bid from each student.We use a genetic algorithm (GA) to solve this optimization problem, which is an example of ablack-box optimization technique that comes from a broader class of algorithms calledevolutionary algorithms. GAs, first introduced by John Holland in 1970 11 , use
Conference Session
STEM Issues in ET II
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Anne M. Lucietto, Purdue Polytechnic Institute; Meher Rusi Taleyarkhan, Purdue University at West Lafayette (PPI); Therese M. Azevedo, Sonoma State University; Natalie Hobson, Sonoma State University
Tagged Topics
Diversity
Tagged Divisions
Engineering Technology
] S. L. Beilock, E. A. Gunderson, G. Ramirez, and S. C. Levine, “Female teachers’ math anxiety affects girls’ math achievement,” Proceedings of the National Academy of Sciences, 107(5), 1860-1863, 2010.[5] G. M. Burton, “Getting Comfortable with Mathematics,” The Elementary School Journal 79 (3): 129-135, 1979.[6] K. Campbell and C. Evans, “Gender Issues in the Classroom: A Comparison of Mathematics Anxiety,” Education 117(3): 332-339, 1997.[7] C. S. Dweck, “Mindsets and Math/Science Achievement,” Carnegie Corporation of New York-Institute for Advanced Study Commission on Mathematics and Science Education, 2008.[8] M.W. Faust, M. H. Ashcraft, and D. E. Fleck, “Mathematics anxiety effects in
Conference Session
Star Tech: Bringing Data Science and Technologies into the Classroom
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Jinwoo An, University of Mount Union; Alan M. Hunter, University of Central Florida; Xi Wang P.E., University of Mount Union; Boo Hyun Nam, University of Central Florida ; Yong Je Kim, University of Central Florida; Byoung Hooi Cho, University of Central Florida
Tagged Divisions
Civil Engineering
images of micro-structures was limited in former days. Due to advances in image processing and optical technology,however, publishers and instructors can provide visualizations of concrete now more than ever before. Thisarticle compares macro size clinker and micro-structures of clinker which are alite, belite, aluminate andferrite to help student understand calcium silicates.Pearson Higher Education published “Materials for Civil and Construction Engineers, 4th Edition” in 2016[2]. The authors are Michael S. Mamlouk and John P. Zaniewski. Materials for Civil and ConstructionEngineers is composed of 11 chapters. It introduces Portland cement (PC) and PC concrete in Chapter 6and 7, respectively. The textbook adequately conveys Portland cement
Conference Session
NSF Grantees: Student Development
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Eduardo Santillan-Jimenez, University of Kentucky; Qing Duan, University of Cincinnati; Jacinda K. Dariotis, University of Cincinnati; Mark Crocker, University Kentucky
Tagged Topics
Diversity, NSF Grantees Poster Session
committee members, the peer-mentor and internshiphost(s) – which will inform evaluations used to gauge the progress and the success of theinternship at its midpoint and conclusion. Annual field trips to facilities related to the researchbeing performed will further expose trainees to relevant sites and careers. Close to graduation,trainees will receive coaching on job hunting as well as résumé, cover letter and interviewpreparation.Moreover, this NRT will connect training elements with inter- and transdisciplinary researchthrough a number of initiatives besides the interdisciplinary and seminar courses in whichstudent research teams will be formed (vide supra). First, this NRT will launch an annualsymposium including all elements of a scientific
Conference Session
Materials Division Technical Session 1
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Stephen J. Krause, Arizona State University; Sarah Hoyt, Arizona State University
Tagged Divisions
Materials
achievement.AcknowledgementThis work has been supported by the NSF IUSE program under Grant No. 1524527.References1. Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. PNAS, 11(23), 8410-8415.2. Hattie, J, Biggs, & Purdie, N. (1996). Effects of learning skills interventions on student learning: A meta- analysis. Review of Educational Research, 66(2), 99-136.3. Prince, M. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93(3), 223-231.4. Schute, V. J., (2008). Focus on Formative Feedback. Review of Educational Research, 78, 153-189.5. Krause, S., Baker, D., Carberry
Conference Session
Materials Division Technical Session 4
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Blake Herren, University of Oklahoma; Ryan Cowdrey; Weston Scott Sleeper; Colin Bray; Zahed Siddique, University of Oklahoma; Yingtao Liu, University of Oklahoma
Tagged Divisions
Materials
to assist pulling the fiber at the proper rate to print complex parts. To protect operators,a small chamber is added to the 3D printer just above the syringe which holds a spool of carbonfiber and allows the pressurized air to flow through. This pneumatic-driven 3D printer allows usto manufacture continuous carbon fiber-reinforced composites and the design is shown in Figure2.Figure 2. (a) The pneumatic driven extrusion component designed by the undergraduate students;(b) fully assembled 3D printing system with installed UV curing and extrusion components.Currently, the printer is still in the early stages of determining the best printing parameters. It hasbeen found that a single line of 3k fiber extruded at 15 psi and 1 mm/s provides the
Conference Session
Developing Technological Literacy in Students
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Elizabeth Milonas, NYC College of Technology - City University of New York
Tagged Divisions
Technological and Engineering Literacy/Philosophy of Engineering
. Loekemoer and J.A. Nel, “Exploring the impact of information andcommunication technology on employees’ work and personal lives,” SA Journal of IndustrialPsychology, vol. 42, ed. 1, Jun. 2016.[2] P. Hanafizadeh, S. Ghandchi and M Asgarimehr, “Impact of Information Technology onlifestyle: A literature review and classification,” International Journal of Virtual Communitiesand Social Networking, vol. 9, is. 2, Apr.-Jun. 2017.[3] S. Deb, “Information technology, its impact on society and its future,” Advances inComputing, vol. 4, is. 1, pp. 25-9, 2014.[4] D. J. Fuchs, “The dangers of human-like bias in machine-learning algorithms,” MissouriS&T’s Peer to Peer, vol. 2, is. 1, May 2018.[5] B. J. Erickson, P. Korfiatis, Z. Akkus, and T. L. Kline
Conference Session
Assessment of Learning in ECE Courses
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Bahar Memarian, University of Toronto; Susan McCahan, University of Toronto
Tagged Divisions
Electrical and Computer
solution. When testing CAIRwith the student group, future work could study how students approach self-assessment usingCAIR. Along with the outcomes-based performance analysis, it would be beneficial to examinehow CAIR influences student problem-solving strategies over time.References[1] A. Carberry, M. Siniawski, S. A. Atwood, and H. A. Diefes-Dux, “Best practices for using standards-based grading in engineering courses,” in Proceedings of the ASEE Annual Conference & Exposition, 2016.[2] R. L. Olds, B. M., Moskal, B. M., & Miller, “Assessment in engineering education: Evolution, approaches and future collaborations,” J. Eng. Educ., vol. 94, no. 1, pp. 13–25, 2005.[3] R. Stiggins, “From formative assessment to
Collection
2019 ETLI
Authors
Jerad J Pelotte
rights reserved 11TRC Internship ProgramSchedule WEEK 1 – ONBOARDING AND INTRODUCTION WEEK 2 – CADD, PROJECTWISE & PROJECT MANAGEMENT (PM) & Project Support Time WEEKS 3 & 4 – SUBSTATION (S/S) & Project Support Time WEEKS 5 & 6 – PROTECTION AND CONTROLS (P&C) & Project Support Time WEEKS 7 & 8 – SYSTEM PROTECTION (SP) AND AUTOMATION & INTEGRATION (A&I) & ProjectSupport Time WEEK 9 – TESTING AND COMMISSIONING (T&C) WEEK 10 – FLOAT WEEK, CATCH UP & Project Support Time WEEK 11 – OVERVIEW OF OTHER GROUPS & Project Support Time WEEK 12 – FINAL PRESENTATION & Project Support Time
Conference Session
Computers in Education Division Technical Session 4: Digital Learning Part II
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Fadi Castronovo, California State University, East Bay; Jesus Oliver Ph.D., California State University, East Bay; Andrew Stanciulescu, California State University, East Bay
Tagged Divisions
Computers in Education
, additional experimentalprocedures, such as mixed designs, will be developed to capture and mitigate for any ordereffects.7. Acknowledgements The authors’ work was generously supported by the Association of Public and Land-grantUniversities, the National Science Foundation, and the CSU East Bay College of Science.Bibliography[1] C. C. Bonwell, “Active learning: Creating excitement in the classroom,” George Washington University, Washington D.C., 1, 1991.[2] S. Freeman ​et al.,​ “Active learning increases student performance in science, engineering, and mathematics,” ​Proc. Natl. Acad. Sci.​, vol. 111, no. 23, pp. 8410–8415, 2014.[3] S. D. Johnson and R. M. Fischbach, “Teaching Problem Solving and Technical Mathematics through
Conference Session
Multidisciplinary Teams
Collection
2007 Annual Conference & Exposition
Authors
Robert Crockett, California Polytechnic State University; Jon Whited, St. Jude Medical; Daniel Walsh, California Polytechnic State University
Tagged Divisions
Multidisciplinary Engineering
. C3b Plugins 1011 Automated Medical Adhesive Dispenser ME S Clearcase) 1012 Visual EMF Editor Requirements & Design Feasibility CS S Basic knowledge of EMF (EMF is a powerful framework and code 1013 Screen Capture and Object Recognition CE S C3c EMF (Eclipse Modeling Framework) generation facility for building Java applications based on simple 1014 XXXX Assessment of Carbon Biocompatibility MATE M
Conference Session
New Tools in Teaching and Learning Biomedical Engineering Concepts
Collection
2007 Annual Conference & Exposition
Authors
Robert Crockett, California Polytechnic State University; Jon Whited, St. Jude Medical; Daniel Walsh, California Polytechnic State University
Tagged Divisions
Biomedical
) R Knowledge of designing tests, approaches for execution 1008 Test Constructor Project CE,CS 1009 Lead flex fatigue tester BMED, IME C3a Eclipse - from User perspective (3.x, 4.x) D Work experience with Eclipse / Basic knowledge of Eclipse. 1010 Mechanical Properties of the Heart BMED M Knowledge of Eclipse and various plugins in Eclipse (e.g. C3b Plugins 1011 Automated Medical Adhesive Dispenser ME S
Conference Session
NSF Grantees Poster Session
Collection
2008 Annual Conference & Exposition
Authors
Dmitriy Garmatyuk, Miami University
imaging using random noise waveforms. His industrial work experience extended to CMOS analog circuit design and signal integrity in gigabit-speed data architectures. His current research interests are in advanced imaging radar systems and sensor networks and in non-conventional approaches to modeling and solving signal integrity problems in above-10 Gb/s wireline links. He is also interested in improving electromagnetics curriculum on undergraduate level. Page 13.398.1© American Society for Engineering Education, 2008 Developing Problem-Based Introductory Electromagnetics
Conference Session
Design: Content and Context
Collection
2008 Annual Conference & Exposition
Authors
Mieke Schuurman, Pennsylvania State University; Christine B. Masters, Pennsylvania State University; Peggy Van Meter, Pennsylvania State University; Gül Okudan, Pennsylvania State University
Tagged Divisions
Educational Research and Methods
rubrics. Knowledge: Pts. Level Awarded Description Student does not have an understanding of the characteristic, e.g., does not A 0 mention any of the attributes related to the characteristic. Provides a good understanding of the characteristic or provides evidence/artifact(s) A 1 that suggest a good understanding of the characteristic. Provides evidence/artifact(s) and a good understanding of the characteristic but A 2 does not connect the two together. Articulates the understanding of the characteristic with the provided evidence/artifact(s). Student
Conference Session
Research and Education in Radiation and Radiologic
Collection
2008 Annual Conference & Exposition
Authors
Mitty Plummer, University of North Texas; Lee Peddicord, Texas A&M; Jerome Davis, University of North Texas; Charles Bittle, University of North Texas; John Poston, Texas A&M University
Tagged Divisions
Nuclear and Radiological
requirements during construction andcommissioning of a nuclear power plant. T H O U S A N D S O F W R O K E R SSteps in executing the plan: The work of preparing the workforce falls to many Texas institutionsas seen in the following list: 1. Wharton County Junior College will lead a program to establish a two-year Power Technology Program. Graduates from this program will be prepared to enter into accelerated accredited training as mechanics, electricians, and chemistry technicians. 2. Hill College will be the lead institution to create a two
Conference Session
New Trends in ECE Education I
Collection
2008 Annual Conference & Exposition
Authors
Sandra Yost, University of Detroit Mercy; Mohan Krishnan, University of Detroit Mercy; Mark Paulik, University of Detroit Mercy
Tagged Divisions
Electrical and Computer
Innovative Curriculum for Undergraduate Electrical and Computer Page 13.421.11Engineering Students.”References [1] M. Paulik and M. Krishnan, “A competition-motivated capstone design course: The result of a fifteen-year evolution,” IEEE Transactions on Education, vol. 4, no. 1, pp. 67–75, February 2001. [2] F. C. Berry, P. S. DiPiazza, and S. L. Sauer, “The future of electrical and computer engineering education,” IEEE Transactions on Education, vol. 46, no. 4, pp. 467–476, Nov 2003. [3] J. S. Bruner, The process of education. Cambridge, MA: Harvard University Press, 1960. [4] W. M. Clark, D. DiBiasio, and A. G. Dixon, “Project-based
Conference Session
Mentoring Graduate Students
Collection
2006 Annual Conference & Exposition
Authors
Heidar Malki, University of Houston; Michael Gibson, University of Houston; Enrique Barbieri, University of Houston; William Fitzgibbon, University of Houston
Tagged Divisions
Graduate Studies
basis.SummaryThis paper presented a multidisciplinary, technology-based Master of Technology degreeprogram. The program includes a multidisciplinary core, a technology-based concentration, andthesis/project practicum. The intent of introducing the program is to integrate different disciplineswithin the College of Technology and provide a degree program to integrate the knowledgecontent, skills, and experiences of today’s professionals.Bibliography1. Keating, D. A., Stanford, T. G. Dunlap, D. D., McHenry, A. L., DeLoatch, E. M., Lee, P. Y., Depew, D. R., Bertoline, G. R., Dyrenfurth, M. J., Tricamo. S. J., Palmer, H. J., Davis, I. T., Morrison, E. R., Tidwell, J. P., Gonzalez-Landis, S. J., O’Brien, J. O., Snellenberger, J. M., Quick
Conference Session
Design in Engineering Eduaction - Poster Session
Collection
2007 Annual Conference & Exposition
Authors
Mysore Narayanan, Miami University; Ronald Earley, Miami University
Tagged Divisions
Design in Engineering Education
). What matters in college? Four critical years revisited. San Francisco: Jossey-Bass.Bloom, B. S. (Ed.) (1956). Taxonomy of Educational Objectives: The Classification of Educational Goals.Handbook I: Cognitive Domain. White Plains, N.T.: Longman.Bloom, B.S., Hastings, J.T. and Madaus, G.F. (1971). Handbook on Formative and SummativeEvaluation of Student Learning. New York: McGraw-Hill. Page 12.145.9Boyer, Ernest L. (1990). Scholarship reconsidered: Priorities of the Professorate. Princeton, NJ:Carnegie Foundation for the Advancement of Teaching
Conference Session
Radiation and Radiological Engineering Education
Collection
2007 Annual Conference & Exposition
Authors
David Jonassen, University of Missouri; Matthew Schmidt, University of Missouri; Matthew Easter, University of Missouri; Rose Marra, University of Missouri; William Miller, University of Missouri
Tagged Divisions
Nuclear and Radiological
weremade according to that evaluation.The questions that are used to structure most of the courses include the following general questions.When learners click on the general question, they are presented with the more specific (indented)questions. When any of those more specific questions are selected, the answer to the question, alongwith some explanation, is presented. • What radioactive source(s) are present? o What isotope(s) are present? o What type of radiation is emitted (alpha, beat, gamma, positron)? o What is the half life of the each isotope? Page 12.471.6 o What is the atomic structure of each of
Conference Session
Integrating Research Into Undergraduate ECE Education
Collection
2006 Annual Conference & Exposition
Authors
Georgios Anagnostopoulos, Florida Tech; Michael Georgiopoulos, University of Central Florida; Ken Ports, Florida Tech; Richie Samuel, University of Central Florida; Melinda White, Seminole Community College; Veton Kepuska, Florida Tech; Philip Chan, Florida Tech; Annie Wu, University of Central Florida; Marcella Kysilka, University of Central Florida
Tagged Divisions
Electrical and Computer
Learning (ML) is a discipline that started evolving as early as the 60’s in the form ofArtificial Intelligence and that nowadays has permeated several aspects of high-tech applicationsas well as everyday life. Its charter is to study, develop and build models able to perform“intelligent” tasks that may be second nature for humans, but are well beyond the capabilities oftraditional computing paradigms. ML applications such as vending machines that recognize validpaper bills, document processing software that corrects our grammar and syntax in real time,voice-driven over-the-phone account management of credit, smart photographic cameras thatautomatically adjust their exposure and speed settings depending on the scene environment, aswell as