ReadinessLearning readiness or preparing oneself to learn in the online environment was also heavilyreferenced in student advice for future online learners. This emergent theme contained advicerelated to having a dedicated workspace for online learning, having a basic understanding of thelearning technologies used in online courses, and placing value in learning the content over justcompleting the assignments and eliminating distractions.Student groups suggest that future online learners should create a dedicated workspace tocomplete their coursework and attend virtual classes. Student advice highlights the importance ofthis workspace in eliminating distractions, especially when considering that many students arecompleting their semesters at home, where
College of Technology - City University of New York (CUNY). She currently teaches relational and non-relational databases and data science courses to undergraduate students. She holds a BA in Computer Science and English Literature from Fordham University, an MS in Information Systems from New York University, and a Ph.D. from Long Island University. Her research interests focus on three key areas: data science curriculum and ethics, retention of minority students in STEM degree programs, and organization and classification of big data.Dr. Qiping Zhang, Long Island University Dr. Qiping Zhang is an Associate Professor in the Palmer School of Library and Information Science at the C.W. Post Campus of Long Island
and journal articles. Keith is the Project Manager and lead developer of the self and peer assessment software tool known as SPARKPLUS. This software is currently being used by faculty at over 20 Australian Universities and several Universities and High Schools in Europe Asia and North and South America.Mrs. Anne P Gardner, University of Technology, Sydney ANNE GARDNER is a member of the Faculty of Engineering and Information Technology at the Univer- sity of Technology, Sydney (UTS). Anne’s research is in engineering education where she works with Dr. Willey in improving understanding of the learning associated with and assessment of collaborative learn- ing, workplace learning by professional engineers, and
design, manufacturing, and instrumentation.Prof. Amos G. Winter V, Massachusetts Institute of Technology Amos Winter is the Ratan N. Tata Career Development Assistant Professor in the Department of Mechan- ical Engineering at MIT. He earned a B.S. from Tufts University (2003) and an M.S. (2005) and Ph.D. (2011) from MIT, all in mechanical engineering. Prof. Winter’s research group, the Global Engineering and Research (GEAR) Lab, characterizes the unique technical and socioeconomic constraints of emerg- ing markets and then uses engineering science and product design to create high-performance, low-cost, globally-relevant technologies. The group primarily focuses on assistive devices, brackish water desali- nation
anethnographic approach to conduct a detailed analysis of these methods, thereby offering valuableinsights to the field (for more information on these pedagogical practices, see Lee & Le Doux,2023; under review), to explore newly emerging pedagogical approaches in engineeringeducation. All in all, this paper offers step-by-step guidance on employing the ethnographicapproach in engineering education research, emphasizing comprehensive, reliable data collectionfrom multiple sources. This is a helpful contribution for the engineering education community,addressing the need for research methods that complement the predominant quantitative researchparadigm (Borrego et al., 2009). We believe this method paper offers valuable insights for howto
AC 2010-1956: IMPROVING CONCEPTUAL UNDERSTANDING INPROBABILITY AND STATISTICSDean Jensen, South Dakota School of Mines and TechnologyStuart Kellogg, South Dakota School of Mines and Technology Page 15.691.1© American Society for Engineering Education, 2010 Improving Conceptual Understanding in Probability and StatisticsAbstractProgram as well as course assessments indicate that, while technical skills are generally good, aweakness remains in students’ ability to translate information and skill sets from one Carnegieunit (one course) to another. The inability to apply probability and/or statistical concepts indifferent problem contexts is particularly problematic for
project and their continued support. The authors gratefully acknowledge the support of theUrsula C. Schwerin library’s 2019-2020 New York State Scale Up Initiative grant, the New YorkCity College of technology Emerging Scholars Program grants, and the NYC Department ofYouth and Community Service (DYCD) Work Force Connect Summer Youth EmploymentProgram. References[1] C. Cooney, "What Impacts do OER Have on Students? Students Share Their Experiences with a Health Psychology OER at New York City College of Technology," The International Review of Research in Open and Distributed Learning, vol. 18, no. 4, 06/16 2017, doi: 10.19173/irrodl.v18i4.3111.[2] National Center for Education Statistics, Department of Education
Paper ID #46030Shaping Future Innovators: A Curriculum Comparison of Data Science Programsin Leading U.S. and Chinese InstitutionsDr. Elizabeth Milonas, New York City College of Technology Elizabeth Milonas is an Associate Professor with the Department of Computer Systems at New York City College of Technology - City University of New York (CUNY). She currently teaches relational and non-relational databases and data science courses to undergraduate students. She holds a BA in Computer Science and English Literature from Fordham University, an MS in Information Systems from New York University, and a Ph.D. from Long Island
applicable to the discipline Week 2 Conceptually-based mathematics, numerical analysis, statistics, and formal aspects of computer and information science to support analysis and modeling applicable to the discipline. Week 3 A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline Week 4 Engineering specialist knowledge provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline; much is at the forefront of the discipline. Week 5 The knowledge that supports engineering design in a practice area Week 6 Knowledge of engineering practice (technology) in the
anyeducational technologies (Krutka et al., 2023), other unintended outcomes can also emerge. Moreneeds to be known about the intended and unintended consequences of incorporating AI intoPST education. Additionally, there is a notable lack of information regarding PSTs’ knowledgeand beliefs about assessment methods (Lin et al., 2022) that could contribute. As such,incorporating PSTs’ perspectives in the formulation of these new frameworks and regulations isessential.Conclusion, Implications, and Future DirectionsThis study’s investigation into PSTs’ perceptions of AI integration in STEM education reveals apositive yet cautious outlook for AI tools to enhance learning experiences in STEM education.Studies suggest that PSTs are largely optimistic about
surveying, geodesy, integration of multi-sensor remote sensing, navigation and geospatial mapping technologies, and hydro-acoustic signal processing for hydrographic mapping. His research interest covers a wide range of geophysical modeling, space weather, and real-time Geospatial Infrastructure Information Management Systems (GIIMS). He has authored and co-authored more than 40 refereed journal articles on these areas of interest and more than 30 conference presentations on real-world applications. He is a member of the American Society of Engineering Education (ASEE), the New Jersey Society for Professional Surveyors (NJSPLS) and of the Hydrographic Society of America (THSOA).Dr. Huiran Jin, New Jersey Institute of
Paper ID #25703LEGO Product Design and Manufacturing Simulations for Engineering De-sign and Systems Engineering EducationDr. Paul T. Grogan, Stevens Institute of Technology Paul Grogan is an Assistant Professor in the School of Systems and Enterprises at Stevens Institute of Technology. He holds a Ph.D. degree in Engineering Systems (2014) and an S.M. degree in Aeronautics and Astronautics (2010) from Massachusetts Institute of Technology and a B.S. degree in Engineering Mechanics (2008) from University of Wisconsin-Madison. His research interests develop and study inter- active modeling, simulation, and gaming for
interests re- lated to technology and society, gender diversity and engineering education.Dr. Marja Talikka, Lappeenranta-Lahti University of Technology My research interest concerns the effects of brief, integrated information literacy education on undergrad- uate students’ research behavior. My teaching experience consists of over 30 years of information literacy education within higher education. Over the years, the content and educational methods have changed greatly. We have moved from library user education to teaching students to understand their information need as part of their research problem. Digitalization has changed teaching methods from plain classroom teaching to using a wide variety of different tools
New Graduates Rated Themselves emerging technologies. as Essential as Proficient as Proficient Leverage the strengths of others to achieve 6 6 5 common goals, and use interpersonal skills to coach and develop others. The individual is 55.9% of 32.2% of Employers 70.5% of StudentsLeadership able to assess and manage his/her emotions and Employers Rated Rated New Graduates Rated Themselves those of others; use empathetic skills to guide as Essential as Proficient as Proficient and motivate; and
Paper ID #36519Student Reflections on Learning as the Basis for CourseGradesEmily Dosmar (Assistant Professor) Assistant Professor of Biomedical EngineeringJulia M. Williams (Professor of English) Julia M. Williams joined the faculty of the Humanities and Social Sciences Department at Rose-Hulman Institute of Technology in 1992, then assumed duties as Executive Director of the Office of Institutional Research, Planning, and Assessment in 2005. From 2016-19, she served as Interim Dean of Cross-Cutting Programs and Emerging Opportunities. In this role, she supported the work of faculty who create multi-disciplinary
acquire knowledge of professional ethics codes and assimilate themto their own emerging identity as professional engineers is an open question, and one which is ofparticular interest for future studies.Schema 3: Rationalization and Problem-Solving(3.1) Communication - choosing to use communication as a solution to the dilemma.Communication can include reporting to superiors as well as to the public.(3.2) Looking for More Information - seeking clarification to help come to a decision or choiceof action.(3.3) Extrapolating Information - inferring or assuming additional information to justify acourse of action.(3.4) Prior Knowledge - recognizing analogous cases and using them to inform or resolve thedilemma. The last schema is composed of
activities.An 11.5% quality rating increase occurred from 2005 to 2006 in the graduate mentoringprogram. Information about mentoring techniques and group activities used in the SUREprogram, during the summer of 2006, that account for this increase is presented. Page 12.1434.2IntroductionThe SURE (Summer Undergraduate Research in Engineering/Science) program wasestablished in 1992 to expose minority students to research in engineering, appliedscience, and electronics packaging, and to increase their interest in graduate study. Theprogram is conducted in cooperation with the Colleges of Engineering, Sciences, andComputing at the Georgia Institute of Technology and
. Reviewing Theory and Research on Informal and Incidental Learning. 2006.21. Cross, J. Informal learning: rediscovering the natural pathways that inspire innovation and performance: San Francisco, Calif., 2007.22. Mattox Ii, J.R. "Measuring the effectiveness of informal learning methodologies." T and D 66(2): 48-53 2012 http://prx.library.gatech.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=edselc&A N=edselc.2-52.0-84861359999&site=eds-live&scope=site.23. Barker, B.S., and Ansorge, J. "Robotics as Means to Increase Achievement Scores in an Informal Learning Environment." Journal of Research on Technology in Education 39(3): 229-243 2007 http://prx.library.gatech.edu/login?url
Paper ID #34484A Take on the Process of Proposal Development and the Scaling of TeamsTowards Development of Competitive Proposals: A ”Group Genius” Ap-proachDr. Pedro E. Arce, Tennessee Technological University Dr. P. E. Arce is University Distinguished Faculty Fellow, Professor and Past Department Chair of Chem- ical Engineering at TTU, Cookeville, TNDr. Andrea Arce-Trigatti, Andrea Arce-Trigatti holds a PhD in Education with a Learning Environments and Educational Stud- ies concentration from the University of Tennessee, Knoxville. She is an interdisciplinary scholar and educational evaluator whose research centers
AC 2007-765: CIRCUITS LEARNED BY EXAMPLE ONLINE (CLEO)Ed Doering, Rose-Hulman Institute of Technology Dr. Edward Doering is a Professor of Electrical and Computer Engineering at Rose-Hulman Institute of Technology, where he teaches courses in circuits and systems, digital systems, image processing, and electronic music synthesis. His research interests include technology-enabled education, image processing, and FPGA-based signal processing.Xiaoyan Mu, Rose-Hulman Institute of Technology Dr. Xiaoyan Mu is an Assistant Professor in the Department of Electrical and Computer Engineering at Rose-Hulman Institute of Technology (RHIT). Currently she teaches classes of electrical circuits and
preventing hackers from altering information during data transfer. A secondobstacle for many wearables devices is receiving approval from regulatory agencies such as theFDA and FCC. In wearables, the stakeholders defined by the FDA include patients, health professionals,researchers, medical device industry firms, and mobile application developers. The FDA hasattempted to make the transition of wearable technology smooth by downgrading software 2018 ASEE Mid-Atlantic Spring Conference, April 6-7, 2018 – University of the District of Columbiaworking with medical data from a Class III (high risk) to a Class I (low risk) device. This lessensthe burden on app developers however, the wearable manufactures will still have to make a properdesign
Paper ID #13878Experiential Learning Opportunities Exploring the Impact of EngineeringSolutions- A Collaborative GenEd-Engineering EffortDr. Natacha Depaola, Illinois Institute of TechnologyProf. Paul R. Anderson, Illinois Institute of Technology Paul Anderson is a registered professional engineer with over 30 years of combined industrial and aca- demic experience related to water resources. At the Illinois Institute of Technology for more than 20 years, he teaches courses in water chemistry, ground water contamination, chemical transport in the envi- ronment, and industrial ecology. His recent research interests emphasize
Paper ID #12015Leadership Development in Change: A Panel to Explore Experiences, Skills,and Learning in Change Management for New Engineering Educators.Dr. Ella Lee Ingram, Rose-Hulman Institute of Technology Ella L. Ingram is an Associate Professor of Biology and Director of the Center for the Practice and Schol- arship of Education at Rose-Hulman Institute of Technology. Her educational research interests include promoting successful change practice of STEM faculty, effective evolution and ecology instruction, and facilitating undergraduate research experiences. Her teaching portfolio includes courses on: nutrition
Paper ID #9682From Faculty to Change Agent: Lessons Learned in the Development andImplementation of a Change WorkshopDr. Ella Lee Ingram, Rose-Hulman Institute of Technology Ella L. Ingram is an Associate Professor of Applied Biology and Biomedical Engineering and Director of the Center for the Practice and Scholarship of Education at Rose-Hulman Institute of Technology. Her educational research interests include promoting successful change practice of STEM faculty, effective evolution and ecology instruction, and facilitating undergraduate research experiences. Her teaching port- folio includes courses on: nutrition
Paper ID #12512Collaboration Across Linked Disciplines: Skills and Roles for IntegratingSystems Engineering and Program ManagementDr. Eric Scott Rebentisch, MIT Eric Rebentisch is a research associate at the Massachusetts Institute of Technology, where he leads the Consortium for Engineering Program Excellence and numerous research projects. His research has ad- dressed the development and management of enterprise technical competencies, including knowledge management and knowledge transfer, intellectual capital management, long-term institutional change, and the ”fuzzy front end” of product development. He is co-author of
their functionality. These types of projects are the easiest to do since the base product is already developed. It is also relatively easy to get market information on these types of products. • Bi-associated Projects are projects that combine two different products and create a new product from the amalgam. These types of projects are more difficult to do since the combination of technologies or products may not be obvious. However, it is still relatively easy to obtain market information for each product and then estimate a market if the
invention of electronic computers and the rapidpopularization of communication equipment and information networks have triggereddrastic changes in science and technology and social economy, which is called the"digital revolution", also known as the third industrial revolution or the third scientificand technological revolution. Accordingly, the form of social and economicdevelopment has also undergone great changes. Following the agricultural economyand industrial economy, a new economy that is based on communication technologyand uses networks, especially the Internet as carriers has emerged--the digitaleconomy. It facilitates the production, distribution, exchange and consumption ofresources through information network, which has attracted global
Page 26.571.6compare the perceptions of students and faculty who attend Idol to the perceptions ofthose who do not since participation and attendance are voluntary and not connected toany classes. However, as Riley13 notes, relying solely on randomized controlled trials“limits the diversity of ways of knowing, and limits the types of new knowledge that canbe considered valid” (p.4). We are confident that the results described below have valueand can inform our decisions about teaching and learning through Idol even though theresults do not represent a large enough sample to be statistically significant andgeneralizable.Results from faculty surveysOf the 13 returned 7 were from faculty who teach for Electrical and ComputerEngineering Technology
: Methods andCASE tools (IFIP Advances in Information and Communication Technology), 1996th Edition.[8] Amatrol Inc, Mastering Programmable Controllers: Event Sequencing, 2014.[9] Richard Kelnhofer and Robert Strangeway, Future of Engineering Technology. AmericanSociety for Engineering Education, 2010.[10] Daniel P. Kuehn and Melvin L. Roberts P.E., The Engineering Technician and TechnologistWorkforce. American Society for Engineering Education, 2015.[11] Krzysztof Pietrusewicz, Metamodelling for Design of Mechatronic and Cyber-PhysicalSystems. Applied Sciences, 2019.[12] Frank Petruzella, Programmable Logic Controllers, 5th Edition.[13] Alireza Kavianpour, Simulation Software for Online Teaching of ECE Courses. AmericanSociety for Engineering
and recognizing their application in varioussituations. One teacher pointed to the importance of teachers’ informal instruction of concepts inscience, technology, and problem solving because it promotes constructivist learning in theclassroom. A follow up survey was sent to participants who successfully completed the coursethrough an electronic survey software program called Survey Gizmo. The survey results showedthat 68% of the survey respondents were able use Robotics course materials in their teachingpractice. Another positive finding which emerged from the follow up survey involveddissemination of the course materials in the schools: 60% of the teachers shared the coursematerials with other teachers. Several teachers indicated that