Professor of Architecture, Oklahoma State University Licensed ArchitectProf. Khaled Mansy, Oklahoma State University Khaled Mansy, PhD Education • Ph.D. in Architecture, with honors, Illinois Institute of Technology (IIT), 2001 • M.Sc. in Architectural Engineering, Helwan University, 1992 • B.Sc. in Architectural Engineer- ing, Cairo University, 1984 Academic Experience • Oklahoma State University, School of Architecture, Professor, faculty member since 2001 • Visiting Researcher, Illinois Institute of Technology 2012 (while on sabbatical leave from OSU) Books Published • Integrative Design, Building Systems for Architects and Architectural Engineers, 2016, Cognella Academic Publishing, San Diego, California, USA, ISBN
consumption of the piston engine and temperature effects.Specifications of the engine must be considered as initial configuration elements of theaircraft, leaving not much room to change variables. Thus the available technology at thetime must be correctly applied.ControlsThe controls group will overlook the control surfaces of the aircraft that operate the trimand flight maneuverability overall. Even though in the sizing approach in Loftin’s procedure stability and controls are not included, this group will overlook the stability offlight in all the conditions (climb, cruise, combat, etc.)StructureThe structure group will be dedicated to find structural information of the plane thatdictate the force loads during flight and calculate the maximum
charge against earnings to compensate for the problems and company’s chief information officer was forced to resign. That’s one example of a nightmare scenario–a botched IT project that forced a major company to its knees.” 6But this kind of problem is much more common than you might imagine, say Flyvbjerg andBudzier after examining 1,471 projects, comparing their budgets and estimated performancebenefits with the actual costs and results.6 A good source for comprehensive analytics dealingwith project risks and failures is the CHAOS Report from Standish Group which has beencollecting case information on real-life IT environments and software development projects since1985. This research encompasses 18 years of data on why projects succeed
Engineering Education: Learning to Solve Problems through Service-Learning ProjectsAbstractOver the last few years, concerns have escalated among many national organizations overwhether today’s engineering students are being adequately prepared for future challenges;globalization, sustainability, complexity, and adaptability. To address this situation, the NationalAssociation of Engineers (NAE), the Accreditation Board for Engineering and Technology(ABET) and the American Society of Civil Engineers (ASCE) have all generated reports aimedat reforming the existing engineering curriculum. As a result, the NAE’s Engineer of 20201,ABET’s Engineering Criterion 3 (EC 2000) 2, and ASCE’s Body of Knowledge (BOK) 3 all aimat shifting the existing
Paper ID #43538A New Personalized Learning Approach Towards Graduate STEM Education:A Pilot in Chemical EngineeringDr. April A. Dukes, University of Pittsburgh Dr. April Dukes is the Faculty and Future Faculty Program Director for the Engineering Educational Research Center (EERC) and the Institutional Co-leader for Pitt-CIRTL at the University of Pittsburgh. April’s research and teaching efforts engage graduate students, postdocs, and faculty to inform and support systemic change toward excellence and inclusivity in higher education.Ms. Valerie E. Kerr, University of Pittsburgh Valerie E. Kerr serves as the Graduate
positively impact that because I have the ability to jump between topics really easily. And when trying to figure out how information fits together or [understand a topic] I think that helps me with piecing different pieces of information together. (Subject #9)RQ3: Support and accommodationsThe following themes emerged in relation to our third research question: accommodations andexperiences with SSD, and suggestions for improvement at the institutional, faculty, and studentlevels.Theme: Accommodations, experiences with SSD (Services for Students with Disabilities)The code accommodations, experiences with SSD (Services for Students with Disabilities)covered anything related to the experiences of students and the process of
concerned, three are baccalaureatecolleges serving diverse fields, eight are Master’s colleges and universities, seven are researchuniversities, and one is a special focus institution.Table 3 (on the following page) gives the Carnegie data that is relevant to this group ofinstitutions. In this table, institutions are identified by name because they are all institutionshousing accredited software engineering programs (that information is available to the public atwww.abet.org ) and the Carnegie data is also readily available to the public. The onlycharacteristic that these institutions generally seem to share, based on this data, is an emphasis onscience and technology that may infuse their programs.One of the other characteristics of the
Louisville. His primary research focus is in Engineering Education, with highest interest in first-year (and beyond) engineering retention & the effects of value-expectancy theory on student persis- tence.Dr. James E. Lewis, University of Louisville James E. Lewis, Ph.D. is an Associate Professor in the Department of Engineering Fundamentals in the J. B. Speed School of Engineering at the University of Louisville. is research interests include paral- lel and distributed computer systems, cryptography, engineering education, undergraduate retention and technology used in the classroom. ©American Society for Engineering Education, 2023 Reinvigorating Energy Teaching via Energy Research with
Tech and M.S. and Ph.D. degrees in Science and Technology Studies (STS) from Virginia Tech. Dr. Jesiek draws on expertise from engineering, computing, and the social sciences to advance understanding of geographic, disciplinary, and historical variations in engineering education and practice.Prof. Sang Eun Woo, Purdue University Sang Eun Woo is an assistant professor in the Department of Psychological Sciences at Purdue Univer- sity. She received her PhD degree in industrial and organizational psychology from University of Illinois Urbana-Champaign. Her research interests include construct validation, psychological measurement (fo- cusing on behavioral assessment), personality and individual differences, turnover
Paper ID #21942A Mixed-methods Study of Non-text Social Media Content as a Window intoAfrican-American Youth STEM IdentitiesDonna Auguste, University of Colorado, Boulder Donna Auguste is a Ph.D candidate in the interdisciplinary ATLAS Institute, College of Engineering and Applied Science. Her research engages intergenerational learners of color with STEM through sensor- based experiences that are personally meaningful, providing an opportunity to assess impact of such ex- periences on STEM identities. She examines modern expressions of STEM identities in social media. She earned a M.S. in Information Technology
gap, this paper aims to1) demystify the manner of asking emerging questions during a qualitative interview and 2)propose a consistent process-based tool, the interview quality reflection tool (IQRT) forevaluating the quality of interviews while orienting the interviewer to examine their presence inthe interview. We introduce the IQRT as informed by the characteristic modalities, structures,and purposes of interviews created to assess and reflect on quality of questions that are asked inthe context of semi- or unstructured interviews. We introduce the IQRT in the context ofinterview-based research in engineering education, which we overview in the following section. Interviewing in engineering education researchThere are
modern tools of the Mechanical Engineering Technology discipline can be described as,9. As a result of this course, my ability to apply current knowledge and adapt to emerging applications of mathematics, science, engineering, and technology can be rated as,10. As a result of this course my ability to conduct, analyze, and interpret experiments and apply results to improve processes can be rated as,11. As a result of this course, my ability to apply creativity in the design of systems, components, or processes appropriate to program objectives can be rated as,12. As a result of this course, my ability to function effectively on teams can be rated as,13. As a result of this course, my ability to identify, analyze, and solve technical
programsIntroductionUniversities across North America have adopted global education as part of their educationalmandate [1]. This mandate corresponds to the emerging trend for a globalized workforce. In theUnited States (U.S.) specifically, study abroad has become more popular due to the emphasisplaced on global citizenry by institutions and employers [2]. This demand has more than doubledstudents’ participation in study abroad programs over the past decades [3]. Educational theoristKolb [4] posits that people learn effectively by immersing themselves in environments thatenable them to observe and reflect on their behaviors. Students who participate in internationalprograms acquire knowledge, skills, and beliefs useful in working with people in cross-culturalsettings [5
identity development.To continue to bring disability more fully into discussions of diversity in engineering, this paperbuilds upon emerging conversations initiated by several engineering education researchers (e.g.,[3-5]) at the intersections of disability and professional identity. We explore the ways in whichthree students experience disabilities while enrolled in an undergraduate civil engineeringprogram as they become civil engineers. Our work addresses the following research question:How do students’ experiences with disability influence their professional identity in engineeringand vice versa? In the following sections, we review key sensitizing concepts that inform ourinquiry, outline our methods, and describe preliminary themes as
interests are in computational and data-driven modeling of physical systems in acoustics and communication networks, model-based systems engineering, user-centric design of emerging technology and engineering education.Dr. Susan Thomson Tripathy, University of Massachusetts, Lowell Dr. Susan Thomson Tripathy is a social science research consultant specializing in qualitative research methodology, including ethnography and participatory action research.Dr. Sumudu Lewis, University of Massachusetts, Lowell Sumudu Lewis is an Associate Clinical Professor at the School of Education at UMass Lowell and also the Director of the STEM teacher preparation program called UTeach.nadia sahila, University of Massachusetts, Lowell
identify the key mentoring roles.The most significant mentoring roles that emerged are: 1. Facilitate feedback: Giving constructive insights to individuals or teams concerning their performance or products, or facilitating the team to do so appears to effectively enable team formation and improve performance. Though the mentors and students were undergraduates, they were able to construct, give, and process feedback to improve their performance and teamwork. 2. Prompting students to think: Actions such as asking a team to explain their process or prompting an individual to assess a product appear to effectively activate learning. This indirect leading transfers the responsibility of learning to the students. 3
on social media and other textual data. ©American Society for Engineering Education, 2025Using Embeddings to Uncover the Similarity Between Engineering Education Doctoral Programs and Academic Workforce OpportunitiesIntroduction and BackgroundThis is a full methods paper. Artificial intelligence (AI) has recently emerged as a powerful toolto conduct sophisticated analyses on different types of data. In education research, there has beena call for novel research that utilizes generative AI to demonstrate its efficacy and accuracy [1, p.29]. Additionally, generative AI holds significant potential in the field of engineering education,particularly in research. The community has urged scholars to document best
.”Compressed Timeline for Course Delivery. Due to the pandemic, the nine week course wascompressed to two, four or eight weeks, depending on the school and the course delivery mode(Table 2). This made it difficult to cover the number of topics that were originally planned. Again,the PD facilitators were forced to adapt the content to fit the condensed schedule. Despite theshortened schedule, the teachers were still able to effectively deliver some of the content. Whenasked about this, one of the specialists stated:“[W]ith all things considered, the students are walking away with a lot more information than ifthey had not taken the course.”Virtual Instruction and Access to Technology. When remote-learning was imposed at the schools,much of the planned
Paper ID #37318Developing a Simulated Experience to Capture the Bidding Process in aCost-Estimating CourseMr. Veto Matthew Ray, Indiana University–Purdue University, Indianapolis Mr. Matt Ray is the Director of the Facilities Management Technology Program and lecturer for both the Facility Management and Construction Management Programs offered through the Purdue School of Engineering and Technology at Indiana University Purdue University Indianapolis. He has been with the school for the past 14 years. He is a graduate of the Purdue School of Engineering and Technol- ogy receiving degrees in Construction Technology
an ex-chairman of the JACMET Design group and the Technical Advisory Board.William Charlton, Boeing Bill Charlton is a Senior Engineer at the Boeing Company in Mesa, AZ. He is a graduate of the JACMET Chief Engineer Certificate and now chairs the Technical Advisory Board. Page 13.1056.1© American Society for Engineering Education, 2008 Risk management – are engineers the problem or the solution?AbstractThe introduction of new technology exposes projects to many risks. Engineers are thestrongest advocates for technology change but since risk and novelty are inextricablylinked, that means that engineers are also
about issues such as nuclear technology. The California, Berkeley of Technology10 course focuses on the nature of emerging technical issues, their ethical, legal and social ramifications, and what individuals and society value in relation to these issues. Professional ethics are addressed in two classes University of Tennessee Senior Seminar11 one of which
interviewees, whileothers were identified through their LinkedIn profiles. Of the 28 alumni invited to participate, 19interviews were conducted and analyzed. Interview questions explored alumni’s learningexperiences and their subsequent entrepreneurial careers. A grounded theory approach was usedto guide the analysis and interpretation of the interview transcripts.The results show how mechatronics education at Stanford University contributes implicitly toentrepreneurial careers. Two overarching themes emerged: “Relevant Learnings for theEntrepreneurial Path” and “Key Course Learning Experience.”Additionally, the results revealgaps in alumni’s education that needed to be filled in other ways later in their careers.In conclusion, this study contributes
., delivering, collecting, and grading assignments and exams) to online LMS, freeing up more instructor’s time for high-value-added personalized instruction and building meaningful student relationships. ● Leveraging online video meeting technologies to allow synchronous remote and in- person instruction [7] so that students or instructors facing temporary life challenges that force them to be remote can continue to teach and learn with high quality, personalized, synchronous interactions. These include situations when students are called away from campus for an emergency for a period of time and yet can’t afford to drop the course, or students in study-abroad programs who desire to take the course remotely but wish to
[1]. Its emergence is a response to the need for a more data-driven approach to education by integrating different disciplines such as machine learning,cognitive psychology, data science and statistics [2]. The overall goal of learning analyticsis to gather educational data and utilize the insightful information obtained from the datato enhance learning, provide actionable feedback to students, and guide educators towardproviding intervention to struggling students [3]. It has developed into an essential tool usedby educational instit utions to enhance both student learning and how educators provideintervention through the use of data mining, machine learning, and visualizations [2]. Thus,by leveraging data mining techniques, institutions of
AC 2011-1395: NSF STEP AWARD: THE COLLEGE OF ENGINEERINGAT THE UNIVERSITY OFDavid Jones, University of Nebraska, Lincoln Dr. David Jones earned a BS and MS from Texas A&M University and a PhD from Oklahoma State University. He joined the Biological Systems Engineering Department at UNL in 1989 where he holds the rank of Professor. He also holds a courtesy appointment in the Department of Food Science and Technology. He has been working in the fields of modeling, process analysis, and risk assessment. He has made contributions in the areas of processing alternative crops, thermochemical conversions, modeling heat and mass transfer within complex systems, and developing models for risk based decision making
International Conference on Industrial Electronics, Technology & Automation. Fur- thermore, he is the co-Chair and co-founder of the Annual International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering virtual conferences 2005 - 2014. Dr. Elleithy is a member of several technical and honorary societies. He is a Senior Member of the IEEE computer society. He is a member of the Association of Computing Machinery (ACM) since 1990, member of ACM SIGARCH (Special Interest Group on Computer Architecture) since 1990, member of the honor society of Phi Kappa Phi University of South Western Louisiana Chapter since April 1989, member of IEEE Circuits & Systems society since 1988, member of the
AC 2009-2209: A METHOD OF ASSESSING EXPERIMENTAL DESIGN INMECHANICAL ENGINEERING LABORATORIESAndre Butler, Mercer University Andre Butler is an associate professor of environmental and mechanical engineering at Mercer University. He earned the B.S.M.E. from the University of Illinois in mechanical engineering, the M.E. from Carnegie Mellon University in mechanical engineering and environmental management, and the Ph.D. from the Georgia Institute of Technology in environmental engineering. His research interests include pollutant measurement of the ambient atmosphere (ozone and particulate matter), air quality health effects, and design and development of particulate matter measurement
emerging field that focuses on testingmicroelectronic circuits that process mixed signals. In a snapshot the lecture focuses onmodern analog and mixed signal technologies, an introduction to test electricalcharacteristics of integrated circuits (IC) and devices incorporating both digital andanalog functions. This unique elective course in the electrical engineering curriculumconcentrates on how circuits are tested and on what future changes are likely. Thelaboratory portion of the course will provide the student the chance to get a betterunderstanding of these topics by measuring various parameters from circuits that weredesigned by test engineers at TI. The course combines educational elements to produce aunique class environment. This course
attachment.This site gives full information on both minimal and optimal hardware specifications for receivingthe signals, as well as software requirements. The hardware required is truly nominal, and noparalyzing technical detraction to the Web presentation of the course has become apparent todate. The last hot word in this column returns to the front page from anywhere in the site.The InvestmentsThe investments required to put together this course are substantial, from the standpoint ofpersonnel time involved in creation of the courseware and software supporting materials, but onlymodest from the viewpoint of hardware and supporting technology acquisition. The companionpaper [6] details in completeness the hardware and video acquisitions required for
fitinto the traditional classification of a profession. A typical high-level security team consists of awide range of individual specialists, including scientists and engineers, applied social scientists,and those educated in the liberal arts. At the same time, effective solutions to security problemsrequire that the varied specialists comprising the security team communicate effectively andstrive toward a common goal. For example, an intelligence specialist with a background inlanguages and cultures needs to understand the type of specific threat information needed by anengineer that is designing a system to protect an embassy. Consequently, coupled with a needfor discipline specific knowledge, there is a need for all members of the security