Paper ID #45518Mapping the Path to KEEN Fellowships: Trends, Insights, and Impacts from2020-2024Dr. Mostafa Batouli, The Citadel Dr. Mostafa Batouli is an Associate Professor of Construction Engineering in the department of Civil and Environmental Engineering at The Citadel. Dr. Batouli received his PhD in Civil Engineering from Florida International University. He also holds Master of Public Administration and Graduate Certificate in Homeland Security and Emergency Management from FIU, Master of Science in Civil Engineering/Construction Engineering and Management from IAU, and Bachelor of Science in Civil
. Branislav Radelji´c, Aula Fellowship for AI Science, Tech, and Policy Branislav Radelji´c is an AI governance specialist, with a particular interest in addressing bias, threats, and responsibility in AI systems. He is especially intrigued by the societal implications of AI technologies and how they can be regulated to ensure ethical and equitable outcomes.Peer Herholz, Northwestern UniversityAwa Samak´eSylvie T. Leduc, York UniversityDr. Sreyoshi Bhaduri, Private Corporation Dr. Sreyoshi Bhaduri is an AI scientist. Currently, she spearheads innovative research in applying generative AI to solve complex supply chain logistics and operations challenges. Her expertise spans applied statistics and natural language processing
in Engineering: A Comparison of Ethics Survey Results fromUndergraduate Engineering Students at Three Different Engineering Programs and Institutions.” American Societyfor Engineering Education.26. Stappenbelt, B. (2012). “Ethics in Engineering: Student Perceptions and their Professional IdentityDevelopment.” Journal of Technology and Science Education, 3 (1) 86-93.27. Kisselburgh, L., Zoltowski, C., Beever, J., Hess, J., & Iliadis, A. (2014). “Effectively engaging engineers inethical Kisselburgh reasoning about emerging technologies: A cyber-enabled framework of saffolded, integrated,and reflexive analysis of cases.” 121st ASEE Annual Conference and Exhibition. Indianapolis.28. Arnett, J. (2008). “The neglected 95%: Why American
faculty and students at UKZN. Page 14.840.4The objectives of this project-abroad experience are to expose students to a different culture andto the application of technologies appropriate to South African needs by collaborating on short-term engineering design projects with South African students.20 For the third visit in 2008 aspecial effort was put into the development and application of more effective assessmentprocedures for the program.21 The purposes for a more thorough assessment emerged from aconsideration of the American Higher Education’s principles of good practice for assessingstudent learning, which include:• Assessment is most
Mathematics from The Georgia Institute of Technology. She has been admitted to the PhD program in Higher and Postsecondary Education at New York University and will start in September of 2015 with her research focusing on living-learning programs.Dr. Helen M. Buettner, Rutgers, The State University of New Jersey Dr. Helen M. Buettner is a professor of Chemical & Biochemical Engineering and of Biomedical Engi- neering at Rutgers University. She holds a B.S. from the University of Minnesota and a Ph.D. from the University of Pennsylvania, both in chemical engineering. In addition to serving as the faculty advisor for DELLC she is the undergraduate program director in Chemical and Biochemical Engineering. She is
systems now andinto the future.Students are required to take courses in engineering/technology, economics, policy/management,and environment. Additionally, all students must take two semesters of a colloquium (speakerseries) and a practicum where students from the above mentioned backgrounds work together asa team on a transportation-related problem posed by industry.This survey is being administered to gain valuable information as feedback regarding the relativesuccess of our program. These results will be used in a paper planned to be presented at aconference focused on engineering education, as well as to enhance the current curriculum of theTransportation Management and Policy Program.The following survey is anonymous, so you will not be
, 2018.[11] A. Gardiner, C. Aasheim, P. Rutner, and S. Williams, “Skill requirements in big data: A content analysis of job advertisements,” Journal of Computer Information Systems, vol. 58, no. 4, p. 374–384, 2018.[12] G. K. Palshikar, R. Srivastava, S. Pawar, S. Hingmire, A. Jain, S. Chourasia, and M. Shah, “Analytics–led talent acquisition for improving efficiency and effectiveness,” in Advances in analytics and applications. Springer, 2019, p. 141––160.[13] M. Mezzanzanica, “Italian web job vacancies for marketing–related professions. symphonya,” Emerging Issues in Management, (, vol. 3, p. 110–124, 2017.[14] Y. Kino, H. Kuroki, T. Machida, N. Furuya, and K. Takano, “Text analysis for job matching quality improvement
and Interpretation. Four themes emerged from our analysis of teacherinterviews. We found evidence of teachers noticing how students 1) framed (or interpreted) theproject, 2) engaged in the engineering design process, 3) exhibited informed designer patterns,and 4) communicated with each other in ways that supported their engineering. In this section westep through each of these themes in turn, providing evidence from the interview transcripts.To provide continuity across all four themes, we focus primarily on the interview with Molly.Molly was the pilot teacher for Novel Engineering, and had the most experience with theprogram. She also displayed evidence of all four of these themes in her interview. To reinforcethat these themes were
: Overwhelmingly, representatives from colleges in Cohort 1 indicated the needand desire to educate students for local and regional workforces ranging from the automotiveindustry to information technology and computer science, to chemical engineering, to name but afew examples. This was often a significant motivator for faculty and college leadership to applyfor NSF-ATE grants. With respect to Cohort 2, interviewees at more than half of the collegesspecifically discussed the needs of local industry or other economic drivers as primary reasonsfor the programmatic expansions pursued as a result of their involvement with the ATE program.The communities in which several of the institutions were located had experienced a shortage ofskilled or specialized
methods that they were not used to. Professor H described his issues in teaching online,saying, “I guess the quality of the lecture was slightly lower because it was online [and] Icouldn’t engage with the students. That was the disadvantage of it.”. Although he is a facultywho teaches technology content, he perceived losing students' engagement in online classes.Source of support – informal senior peer mentorshipThe primary source of teaching support the participants described was senior peer mentorshipoffered to junior faculty on an informal basis, as described by Sherlock: “But I do speak to a fewother colleagues in the department to get some advice on what to do with the course if I feel I'mnot getting the right amount of engagement, in some
. The APPS approach combines the regulations and internal culture for evaluating andauditing STEM-designed programs based on the accreditation criteria. While generally observing the trends in the market and high yearly growth inInformation and Communication Technologies (ICT), both formal and informal prerequisitesare essential for launching a new study program. The ITBA case is motivated by the industry's demand for professionals with acombination of technical background and solid insights into the business goals and needs thatspurs the constant emergence of tech solutions. Generally speaking, the graduates of thisprogram will be responsible for the business analysis and analytics side of eachproblem-solving assignment that involves
, Osaka, Japan, Aug. 2020; DOI: 10.1109/CoG47356.2020.92315513. Kamaldinov I. and Makarov I, “Deep Reinforcement Learning in Match-3 Game,” 2019 IEEE Conference on Games, London, UK, Aug. 2019; DOI: 10.1109/CIG.2019.88480034. Tan, R. et al., “A modeling processing method for video games based on deep reinforcement learning,” 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), Chongqing, China, May 2019; DOI: 10.1109/ITAIC.2019.87854635. Park, H. et al., “Reinforcement Learning-based Box Unloading Sequence Planning for Robotic Container- Unloading System,” 2021 18th International Conference on Ubiquitous Robots (UR) , Gangneung, South Korea, July 2021; DOI: 10.1109
science aims to more deeply connect engineering design and practice with science conceptsusing inquiry-based methods. The framework relates science to students’ everyday lives, ensuresstudents learn about being careful consumers of scientific and technological information, andprepares them with the skills to enter careers in science, engineering, andtechnology. Curriculum must harmoniously integrate the three dimensions of science learninghighlighted by NGSS: core ideas, science and engineering practices, and cross-cutting concepts.While the core ideas are similar to past standards, the emphasis on students’ understanding of theapproach and methods employed by engineers and scientists, and the demand that engineeringand technology be integrated
Paper ID #24443Design Practica as Authentic Assessments in First-year Engineering DesignCoursesDr. Christopher McComb, Pennsylvania State University, University Park Christopher McComb is an Assistant Professor in the School of Engineering Design, Technology, and Professional Programs with courtesy appointments in the Department of Mechanical and Nuclear Engi- neering and the Department of Industrial and Manufacturing Engineering. He earned dual B.S. degrees in Civil and Mechanical Engineering from California State University Fresno as well as M.S. and Ph.D. degrees in Mechanical Engineering from Carnegie Mellon University
Construction Management-Agency at Auburn University," in 43rd Annual Associated Schools of Construction International Conference, Flagstaff, AZ, 2007.[5] K. Burr, and Jones, C. , "The Role of the Architect: Changes of the Past, Practices of the Present, and Indications of the Future," International Journal of Construction Education and Research, vol. 6, no. 2, pp. 122-138, 2010.[6] B. Gerber, Gerber, D., and Ku, K. , "The pace of technological innovation in architecture, engineering, and construction education: integrating recent trends in curricula," Journal of Information Technology in Construction, vol. 16, pp. 411-432, 2011.[7] T. a. P. Duggan, D. , "Design-Build project delivery market share and market size
Hall,2002, pp. 1389. Mochizuki, T., et al. “A design of self-assessment environment in project-based learning: monitoring andreorganizing tasks and division of labor,” Information Technology Based Higher Education and Training, 6thInternational Conference on, pp. F2D/1-F2D/6, July 2005. Page 13.337.7
Paper ID #10509Learning about Learning and Engineering: Engineers, Students, and Educa-tors Co-Design Challenges for a Science CenterJennifer Wang, University of California, Berkeley Jennifer Wang is a Ph.D. candidate in the Graduate Group in Science and Mathematics Education, fo- cusing on Engineering Education at the University of California, Berkeley. She also obtained her B.S. in Electrical Engineering and Computer Sciences and M.S. in Mechanical Engineering from Berkeley. Her primary interest is in informal learning environments and educational technologies. She currently conducts research with the Lawrence Hall of
; Exposition Copyright © 2004, American Society for Engineering Education"Our society needs responsible and knowledgeable citizens. It is important for engineers tounderstand the impact of technology on society. The electrical and computer curricula atNorwich University hold that principle as an educational outcome. Norwich University also hasbeen designated as a Center Of Excellence for Information Assurance. As such, the electricaland computer engineering department has been given grant money to support professors andstudents by the National Security Administration_(NSA) to develop materials to teach theengineering principles for developing cyber-attack-resistant critical infrastructure systems.Communications, transportation
Database. Cambridge, MA: MITPress.[2] E. F. Gehringer, L. M. Ehresman, and W. P. Conger, S.G., “Reusable learning objects through peerreview: The Expertiza approach,” in Innovate: Journal of On- line Education, 2007.[3] E. F. Gehringer, “Expertiza: information management for collaborative learning,” in In Monitoringand Assessment in Online Collaborative Environments: Emergent Computational Technologies for E-Learning Support. IGI Global Press, 2009. Page 25.154.10[4] F. P. W. Landauer, T. K. and D. Laham. An introduction to latent semantic analysis. In DiscourseProcesses. Special Issue on Quantitative Approaches to Semantic
with engineering or training in how to teachengineering effectively. According to the 2018 Survey of Science and Mathematics Educators,less than half of the teachers who are currently teaching standalone engineering courses arecertified to teach engineering and less than 20% have a major or minor in engineering or anengineering-related discipline. Furthermore, only 13% of high school science teachers havetaken at least one course in engineering, and among elementary and middle school scienceteachers, only 3 and 10%, respectively, have taken at least one engineering course [5].To communicate accurate information about engineering to K-12 students and design engagingengineering content, it is critical that teachers first understand what
research-growth based mentoring (1). As one might expect,mentoring is used in other fields for faculty development including medicine and nursing where the goalmay to grow faculty in clinical practice or promote the growth of faculty interested in emerging researchareas requiring interdisciplinary Team Science (6, 7). If it is accepted that a common desire is that facultydesire to reach their full potential and become more competent, then research into the effectiveness of suchdevelopment from other fields should inform engineering.The Water Working Group (WWG)a is an interdisciplinary group of water-related researchers which meetsat our university and focuses on water challenges which are unique to the region in which the universityresides, an
Paper ID #43293Understanding the Workplace Transition Experiences of Undergraduate QueerEngineering StudentsAnimesh Paul, University of Georgia Animesh (He/They), originally from India, is presently a Ph.D. Candidate at the Engineering Education Transformations Institute, University of Georgia. He holds a bachelor’s degree in Technology, specializing in Electronics and Electrical Engineering from KIIT University. Animesh’s academic focus delves into the complexities of the school-to-work transition, through an asset-based perspective. He is deeply dedicated to promoting inclusive engineering programs, motivated by his
. Professional identity is cultivated intentionally inschools of engineering [14]. It is further shaped by experiences in practice and involves not onlyexplicit knowledge, such as how to apply engineering principles, but also in implicit knowledgethat is learned from colleagues, mentors, and leaders in the organization [1]. Implicit knowledgeinforms PIF [1], [2], [4]. It is situated, that is, tied to the particular topic or problem that is beingsolved [15]. This knowledge is subsumed into the identity of professionals. Reflective practice asoutlined by Schön is also an aspect of PIF. Identity is shaped not only by the community ofpractice, but also by constant reflection on action [16-18] and is essential to the emergence ofexpertise.TeamsIn formal
innate limitation of large language models,” arXiv preprint arXiv:2401.11817, 2024.[10] L. Huang et al., “A survey on hallucination in large language models: Principles, taxon- omy, challenges, and open questions,” ACM Transactions on Information Systems, 2023.[11] B. Latard et al., “Towards a semantic search engine for scientific articles,” in Research and Advanced Technology for Digital Libraries: 21st International Conference on Theory and Practice of Digital Libraries, TPDL 2017, Thessaloniki, Greece, September 18-21, 2017, Proceedings, vol. 21, Springer International Publishing, 2017.[12] X. Fan, H. S. Timorabadi, and S. Emara, “Board 97: Work-in-progress: Textcraft: Auto- mated resource recommendation for custom
University. His expertise includes machine learning, academic integrity detection, and innovative teaching methodologies. Dr. Poudyal actively publishes and presents on machine learning and educational analytics. ©American Society for Engineering Education, 2025 A CNN-Driven Hybrid Classification Model to Predict Students’ Academic PerformanceAbstract - Large amount of data is obtained from online courses, e-learning platforms, andinstitutional technologies. Educational Data Mining (EDM) leverages these data to makeinformed decisions that improve the educational experience, student outcomes, and institutionalefficiency. As academic achievement is one of the key aspects for assessing
graduate student at Virginia Tech (2011-2017), he worked at the Center for Human-Computer Interaction under the guidance of Dr. Doug Bowman, researching the impact of audience interaction using serious games and VR on young student audiences visiting informal learning spaces. His teaching experience involves being an Adjunct faculty member and a Visiting Assistant Professor at Virginia Tech, serving as a Teaching Assistant in multiple CS courses, and teaching diverse audiences about IT and New Media Technologies. His dissertation received the Out- standing Research award for 2017-2018 from the CS department at Virginia Tech. Panagiotis has also extensive experience as a Senior Interactive Systems Designer and
, socioeconomic conditions, and work force diversity. The computer and telecommunication revolution places technocrats in closer more direct contact with internal workers, suppliers, competitors, and clients. Moreover, the recent significant shift of U.S. companies towards a more service-oriented global network and changing scenarios demand engineers who are capable of assuming the multiple role of technology experts with efficient management skills. However, academic institutions have not focused on the increased need for a more integrated approach to educational training for our engineering scientists to cope with their emerging roles. Bordman and Hasan (1996) projected some thoughts on how an educational
researchcomponent are good.Purpose and Goal of REU ProgramsREU site programs may run during the school year, but the most common form is a summer internship. A ten-weeksummer experience that enables an undergraduate student to emerge himself or herself in research can be a life-changing experience. For the students, it really is a no-risk chance to see if they love research. The students arepaid a stipend along with other support which may include housing, food, trips, and miscellaneous. Students aretypically paired with a faculty advisor and possibly a graduate student mentor. These mentors help guide theundergraduate student through their first independent research experience. Exit evaluations and discussions withparticipants often indicate that they are
. Thesurvey results show that the majority of the students found the transition to the FlippedClassroom easy or somewhat easy to adapt to despite not receiving information about thebenefits of this pedagogical model. Students indicated that having clearer instructions aboutwhat is expected of them would further smoothen this transition. These findings suggest thatinstructors may be able to successfully use the Flipped Classroom model in a modular fashionwhen expectations for students are clearly communicated.1. IntroductionThe Flipped Classroom is a pedagogical model that moves direct instruction outside of theclassroom to allow more time in class for student-centered activities such as group work orpeer-instruction. Bishop and Verleger define the
first is a web application thatsupports an NSF funded curriculum development project. The second is a channelsupported by the uPortal portal system that automates the department’s graduateadmissions process and is deployed on the university’s IT portal system. The third is anapplication that integrates a Course Management System, Blackboard, with an outcomesbased assessment tool, True Outcomes, to automate the importing of student information tobetter measure outcomes for ABET accreditation. The fourth project is a linguisticsanalysis tool that finds word usage patterns in media articles.1 IntroductionOne of the program characteristics that ABET expects in engineering and technologyprograms that it accredits is the inclusion of some type of