Paper ID #7256Multisource feedback for STEM students improves academic performanceDr. Jesse Pappas, James Madison University Jesse Pappas studied self-insight, intentional self-development, and the role of emotion in self-perception at the University of Virginia, where he received a Ph.D. in social psychology. His dissertation project involved adapting established professional development tools to facilitate the personal and academic suc- cess of college students and others. As a research fellow in the School of Engineering at James Madison University, Jesse currently leads efforts to equip future scientists and
registered professional mechan- ical engineer with 15 years experience as a practicing engineer. She earned a BSME degree from the U.S. Military Academy at West Point, a MSME degree from the Georgia Institute of Technology, and is currently pursuing a PhD in Engineering Education at USU. She is Principal Investigator for Online Learning Forums for Improved Engineering Student Outcomes in Calculus, a research project funded by the NSF TUES program. Her research interests include engineering student learning, distance engineering education, and alternative pathways to engineering education.Dr. Joshua Marquit, Pennsylvania State University, Brandywine Joshua Marquit is an Instructor in the Psychology Department at Penn State
employment practices and corporate social behaviors. Across her research, Dr. Vican explores how organizational policies and practices, managerial behavior, and workplace culture shape individual career outcomes as well as broader patterns of labor market inequality. Her current research includes a qualitative study of corporate diversity management strategies and a series of mixed-methods projects on diversity in the academic workforce. c American Society for Engineering Education, 2018 Using Data to Drive Institutional Change: University of Delaware ADVANCE Institute Research on Faculty Women of Color Shawna Vican, University of
, numerous micro-level studies havefocused on developing specific STEM-related skills. For instance, there’s a course titled“Catch the Wind: Design a Windmill,” aiming to equip students with the ability toharness wind energy through engineering design. It leverages physics knowledge aboutwind energy, material properties, windmill construction, and angular concepts to enablestudents to create devices powered by wind. This course targets not only competencybut also the cultivation of scientific values [18]. STEM literacy is distinguished fromsingular STEM literacy, because it highlights the skills and practices that are unique toeach particular discipline, and therefore not applicable in all the other disciplines [19].Often facilitated by digital
Research ethics Data Sources and Working Groups Afternoon Identifying research interests Generative writing Evening Communal Dinner Day 2 Morning Introduction to IMPRESS program Logistics of data collection (e.g., camera setup) Forming working groups Afternoon Ethical conduct of research Generative writing Day 3 Morning Working group planning and next steps Working group checkin Afternoon Working groups and generative writing Day 4 Morning Research design Day
Paper ID #38344Using Telehealth Technologies to Build Nurse PractitionerStudent ConfidenceDawn O. EckhoffMichelle Taub (Assistant Professor)Hansen MansyDamla Turgut (Professor)Sang-Eun Song (Associate Professor) Associate Professor at the Department of Mechanical and Aerospace Engineering, founding director of Interventional Robotics Laboratory at University of Central Florida. © American Society for Engineering Education, 2022 Powered by www.slayte.com Using Telehealth Technologies toBuild Nurse Practitioner Student ConfidenceDawn O. Eckhoff, Ph.D., APRN
courses within the state, not consistently taughtacross the state, or only exist in one state but not others within the cohort. Those that are mostconsistently grouped as “CS” include the two AP courses in CS. The courses for which there arethe most open questions include web design, game development, cybersecurity, robotics, anddatabase courses as these tend to focus either on specialized subfields within CS or be morefocused on engineering applications. One method used to help clarify which courses should begrouped is to have teams categorize their courses within a shared spreadsheet. This allows teamsto discuss with peers how and why they are categorizing their courses and also observe howother cohorts have worked with the categories.The
.) 322(5901): 532-533. Proceedings of the 2009 Midwest Section Conference of the American Society for Engineering Education 18Strand, S. E. and G. Benford (2009). "Ocean Sequestration of Crop Residue Carbon: Recycling Fossil Fuel Carbon Back to Deep Sediments." Environ. Sci. Technol. 43(4): 1000-1007.Thiffault, E., N. Belanger, et al. (2007). "Investigating the soil acid-base status in managed boreal forests using the SAFE model." Ecol. Modell. 206(3-4): 301-321.Titirici, M.-M., A. Thomas, et al. (2007). "Back in the black: Hydrothermal carbonization of plant material as an efficient chemical
Paper ID #43457The Paint Bucket Model of Dis/ability in STEM Higher Education: Axioms1-3Dr. D. C. Beardmore, University of Colorado Boulder D. C. Beardmore earned their Ph.D. in Civil Engineering from the University of Colorado Boulder. They are currently the Engineering GoldShirt Program Manager for the Broadening Opportunities through Leadership and Diversity (BOLD) center at the University of Colorado Boulder. Their current and historical positionality statements can be found at dcbeardmore.com.Dr. Angela R Bielefeldt, University of Colorado Boulder Angela Bielefeldt is a professor at the University of Colorado Boulder
accepted the invitation to serve as an Environmental Finance Fellow at FIU’s Environmental Finance & Risk Management (EFRM) and as an Affiliated Faculty in the FIU Institute of Environment. He has published work on the localization and navigation of underwater robots in GPS-denied environments, analysis of the spatiotemporal dynamics of the ocean, data analysis of water profiles, persistent monitoring of the ocean, and AI models applied to ocean monitoring and agriculture.Luana Okino Sawada, Florida International UniversityPaulo Padrao, Florida International UniversityJose Fuentes, Florida International University ©American Society for Engineering Education, 2025 Enhancing AI
Mexican-descent youth in the mid-20th century.Kathryn Watson Kathryn is a doctoral student at the University of Colorado Colorado Springs. Her work as a graduate research assistant for the National Science Foundation Alliance for Graduate Education and the Professoriate focuses on diversifying STEM education.Valerie Martin Conley (Dean) © American Society for Engineering Education, 2022 Powered by www.slayte.com Sacrifice: Messages STEM Postdoctoral Scholar Women Receive about Career and FamilyAbstractAn instrumental case study (Stake, 1995) explored the messages STEM postdoctoral scholarwomen receive about balancing an academic
Paper ID #23879Applications of Artificial Intelligence in Peer AssessmentDr. Edward F. Gehringer, North Carolina State University Dr. Gehringer is an associate professor in the Departments of Computer Science, and Electrical & Computer Engineering. His research interests include computerized assessment systems, and the use of natural-language processing to improve the quality of reviewing. He teaches courses in the area of programming, computer architecture, object-oriented design, and ethics in computing.Dr. Ferry Pramudianto, North Carolina State University Dr. Ferry Pramudianto is a Senior Research Engineer at Computer
Paper ID #44802Unveiling Cyber Threats: A Comprehensive Analysis of Connecticut DataBreachesDr. Robin Chataut, Quinnipiac University Robin Chataut is an assistant professor of Cybersecurity and Computer Science at the School of Comput- ing and Engineering at Quinnipiac University. He earned his Ph.D. in Computer Science and Computer Engineering from the University of North Texas. His research interests lie in the areas of network security, cybersecurity, AI, ML, and next-generation networks. His significant contributions to the field are evidenced by his design, implementation, and optimization of complex algorithms
is exactly in . Acesso em: 02 out.this period, in which individuals are in large numbers, but still 2013.not gathered in a massive cloud. "In this remarkable form of [7] B. Akay e D. Karaboga, Artificial Bee Colony Algorithm for Large-phenotypic plasticity, changes in the density of the local scale Problems and Engineering Design Optimization: journal ofpopulation, generate distinct solitary and gregarious phases that intelligent manufacturing, DOI: 10.1007/s10845-010-0393-4, p. 1-14,differ in behavior, physiology, and appearance." [9], i.e., 2010.grasshoppers can undergo transformations on cloud formation. [8] R. J. Lopes. Gafanhotos formam nuvem para
Engineering Education, 2023 On Time-based Exploration of Student Performance PredictionAbstractPredicting student performance early enough to intervene and provide help has been alongstanding topic of interest among the educational research community. Many studies haveinvestigated making these predictions, and two main issues have been pointed out: the portabilityand robustness of these predictions. Learning Management Systems (LMS) and other tools usedby courses today capture extensive amounts of information about student performance that ishelpful not only in improving earlier attempts at these predictions, but also in taking themfurther. This is a work-in-progress study that looks at ways to accurately predict studentperformance based on
significant difference in theperformance of students who receive web based training and those who receive traditionalclassroom instruction?” The latter question was the focus of this study. This study assessed theperformance of students who received web-based training in a mechanical engineeringtechnology course, versus students in the same course who did not receive the web-basedtraining. The title of the course studied was MET 142, Manufacturing Processes 1. This coursewas designed to introduce students to manufacturing processes such as casting, forming andwelding. A hands-on approach was used to introduce these concepts. Since not all studentsenrolled were Mechanical Engineering Technology majors, their diverse backgrounds had to betaken into
ASEE 2014 Zone I Conference, April 3-5, 2014, University of Bridgeport, Bridgeport, CT, USA. Performance Evaluation of Unicast Networks Using Different Queuing Protocols Bushnag, Anas Bach, Christian University of Bridgeport University of Bridgeport Bridgeport, United States Bridgeport, United States School of Engineering Department of Technology Management abushnag@my.bridgeport.edu cbach
, Miami.Dr. Alexandra Coso Strong, Florida International University As an assistant professor of engineering education at Florida International University, Dr. Alexandra Coso Strong works and teaches at the intersection of engineering education, faculty development, and complex systems design. Alexandra completed her graduate degrees in Aerospace Engineering from Georgia Tech (PhD) and Systems Engineering from the University of Virginia (UVa). ©American Society for Engineering Education, 2024 Proposing a Culturally Sustaining Pedagogy Research Framework in Sub- Saharan African STEM Education: A Paradigm Shift from Deficit to Asset- Based PerspectivesAbstractResearch shows that
Paper ID #25262Curating Tweets: A Framework for Using Twitter for Workplace LearningHieu-Trung Le, George Mason University Hieu-Trung Le is pursuing his PhD in Information Technology at George Mason University. He is cur- rently a cybersecurity architect at a large organization, with expertise in leading IT and security engi- neering implementation, risk management, vulnerability assessment, and ethical hacking. He provides consulting services for both the federal and commercial sectors and served as the subject matter expert for information security domains. His research focuses on engineering education, using social
AC 2009-318: INTEGRATING VIRTUALIZATION TECHNOLOGY INTOREMOTE LABS: A THREE-YEAR EXPERIENCEPeng Li, East Carolina University Page 14.771.1© American Society for Engineering Education, 2009 Integrating Virtualization Technology into Remote Lab: A Three- Year Experience1. Introduction and BackgroundMany colleges and universities are facing rising enrollments while the budgets have not beenincreased proportionally. In our program, enrollment has gone up significantly in the past fewyears, especially in the distance education (DE) section. How to use the limited resources todeliver quality education effectively and efficiently becomes a real challenge
2006-343: SQL INJECTION ATTACKS AND PREVENTION TECHNIQUESMario Garcia, Texas A&M University-Corpus Christi Page 11.1145.1© American Society for Engineering Education, 2006 SQL Injection Attacks and Prevention TechniquesAbstractDatabases introduce a number of unique security requirements for their users and administrators.On one hand, databases are designed to promote open and flexible access to data. On the otherhand, it’s this same open access that makes databases vulnerable to many kinds of maliciousactivity 1. One of the main issues faced by database security professionals is avoiding inferencecapabilities. Structured Query Language (SQL) injection is a
Paper ID #36854Student and Faculty Perspectives on UndergraduateCheating Frequency and SeverityYooneun Lee (Assistant Professor)Khalid Zouhri (Assistant Professor) Dr. Khalid Zouhri is an assistant professor of mechanical engineering technology in the Department of Engineering Management, Systems and Technology at the University of Dayton. Before joining the faculty at UD, he was an assistant professor in the Department of Mechanical Engineering at Higher College of Technology. Prior to that Dr. Zouhri was an adjunct professor at the University of New Haven while working in the aerospace industry. Dr. Zouhri has over
by the Office of Naval Research. Dr. Nelson is a 2010 recipient of the NSF CAREER Award. She is a member of Phi Beta Kappa, Tau Beta Pi, Eta Kappa Nu, and the IEEE Signal Processing, Communications, and Education Societies.Dr. Margret Hjalmarson, George Mason University Margret Hjalmarson is an Associate Professor in the Graduate School of Education at George Mason University and currently a Program Officer in the Division of Research on Learning in Formal and Infor- mal Settings at the National Science Foundation. Her research interests include engineering education, mathematics education, faculty development and mathematics teacher leadership. c American Society for Engineering
Paper ID #34932What Should Teachers Do? Visibility of Faculty and TA Support AcrossRemote and Traditional LearningMorgan Elizabeth Anderson, University of Washington Morgan Anderson is a Ph.D. student in the School Psychology Program at the University of Washington, Seattle. She is interested in the use of digital tools to support school-community partnerships that enhance access to mental wellness assessment and intervention for at-risk adolescents.Dr. Denise Wilson, University of Washington Denise Wilson is a professor of electrical engineering at the University of Washington, Seattle. Her research interests in
University in the Industrial and Man- ufacturing Systems Engineering Department. He graduated in 1999 from the University of Illinois at Urbana-Champaign with a PhD. in Industrial Engineering in the Human Factors Program. His research interests focus on human factors, human-computer interaction, and adaptive systems that enable people to be effective in the complex and often stressful environments found in aviation, military, robotic, and space applications. His teaching methods include team projects and the application of team-based learning methods into the classroom.Cassandra DoriusJane Rongerude PhD, Department of Community and Regional Planning, Iowa State University Jane Rongerude is an assistant professor in the
in presenting class material. A series of interconnected tables plotsthe performance of each question in a test. By this means, with less effort than maintaining awritten grade book, it is possible to evaluate the degree of comprehension the class has regardingany area of the subject matter being tested. It is also a straightforward matter to determine whichquestions have “worked” on a test and which have failed to evaluate the level of knowledge ofthe students. The development of a grading curve can be shown with every graded assignment sothat the teacher always knows the degree of challenge to program into the next test orassignment. By apprising students of their standing at key points in the quarter,misunderstandings of grades and
”Collaborative Research: Improving Representational Competence by Engaging with Physical Modeling in Foundational STEM Courses”.Eric Davishahl, Whatcom Community College Eric Davishahl is assistant professor and engineering program coordinator at Whatcom Community Col- lege. His teaching and research interests include developing, implementing and assessing active learning instructional strategies and auto-graded online homework. Eric has been a member of ASEE since 2001. He currently serves as awards chair of the Pacific Northwest Section and was the recipient of the 2008 Section Outstanding Teaching Award.Todd Haskell, Western Washington University Todd Haskell is a cognitive scientist interested in learning and the
pictures, links to other Web sites, video, sounds, Java programs, etc. The completed docu-ment is posted to the web, and instantly accessible to students. A special note, HTML, Java,VRML and Internet Protocols are standardized across all current computer platforms and manygenerations of hardware.1.3 Application Software for StaticsComputer software is not normally suited to a problem solving course like Statics. But, we foundsome professional software tools that are well suited to mechanisms (Working Model) and math-ematics (MathCAD).1.3.1 Working ModelWorking Model (see figure 1) has been designed to allow sketchpad entry of mechanical mecha-nisms, and then simulation of the dynamics. The user begins by defining objects and properties.This is
2006-1732: DEVELOPMENT OF HIGHLY INTERACTIVE, ON-LINE COURSE ONENERGY CONSERVATION: LEARNING STRATEGIES USED ANDEXPERIENCE GAINEDSarma Pisupati, Pennsylvania State University SARMA V. PISUPATI is an Associate Professor of Energy & Geo-Environmental Engineering Department and a Faculty Fellow of the John A Dutton e-Education Institute of the College of Earth and mineral Sciences. He is Chair of the General Education Program of the EGEE Department and has been teaching undergraduate and graduate courses at Penn State University since 1992.Wendy Mahen, PennSylvania State University WENDY L. MAHAN is Instructional Designer in the in the Teaching and Learning with Technology (TLT) wing of
Assistant to the Vice Provosts. Prior to joining Duke, she was an associate professor with tenure at the University of Florida in the Department of Computer & Information Science & Engineering. She also served as an associate professor and in- terim co-chair in the School of Computing at Clemson University. Her research focuses on the design, implementation, and evaluation of technologies, programs, and curricula to support diversity, equity, and inclusion in STEM fields. Currently, through this work, she is the Backbone Director for the Alliance for Identity-Inclusive Computing Education as well as Education and Workforce Director for the Athena AI Institute. Having garnered over $40M in funding from public and