feedback from faculty, instructional designers, andother experts in the field, ensures its alignment with real-world educational needs.Keywords: AI, Instructional Design, Online Transition, Online Education, e-learning, OpenAI,Python, Time Saving Strategies for Faculty, Lecture Capture, Repurposing Video Lectures.IntroductionThe landscape of higher education, particularly in engineering, is indeed undergoing a significanttransformation, with a marked increase in the demand for online engineering education. Thissurge is driven by professionals seeking career advancement in a rapidly evolving technicallandscape and the need for upskilling and reskilling among experienced engineers. However, thecreation of top-tier online courses presents
research, pp. 311-334, 2014.[11] R. Battistoni, N. Longo, and K. Morton, "Co-Creating Mutual Spaces for Campuses and Communities," in Asset-Based Community Engagement in Higher Education, J. Hamerlinck and J. Plaut Eds. Minneapolis: Minneapolis Campus Compact, 2014.[12] M. LaForce, E. Noble, and C. Blackwell, "Problem-based learning (PBL) and student interest in STEM careers: The roles of motivation and ability beliefs," Education Sciences, vol. 7, no. 4, p. 92, 2017.[13] D. Wood, A. Gura, J. Brockman, G. Gilot, S. Boukdad, and M. Krug, "The Community-Engaged Educational Ecosystem Model: Learning from the Bowman Creek Experience," presented at the Engaged Scholarship Consortium, Minneapolis, MN, 2018.[14
offersa promising avenue to enhance classroom instruction and practical learning experiences. Soartificial intelligence tools can contextualize students. Artificial intelligence (AI) as a field hasbeen developing over the course of these last decades, but in the past few years has taken moreimportance in the field of higher education, specifically in careers such as Civil Engineering.As a result, the purpose of this study is to explore the development of critical thinking in WaterResources students by using artificial intelligence programs. Platforms such as ChatGPT canassist students in interpreting given information, such as waterway sizing, water supply andenvironmental laws to facilitate the learning process. Civil engineering students from
: https://www.nspe.org/resources/ethics/code-ethics. [Accessed 19 January 2024].[26] American Society of Civil Engineers, "Code of Ethics," 26 October 2020. [Online]. Available: https://www.asce.org/career-growth/ethics/code-of-ethics. [Accessed 19 January 2024].[27] The American Society of Mechanical Engineers, "Code of Ethics of Engineers," 6 October 2021. [Online]. Available: https://www.asme.org/getmedia/3e165b2b-f7e7-4106-a772- 5f0586d2268e/p-15-7-ethics.pdf. [Accessed 19 January 2024].
master mentors and coaches are present to develop a deepunderstanding of the foundations of agile [1][3]. An agile mindset suggests mastering these skillsfor practitioners to have an effective teamwork environment [3]. Thus, developing a proper agilemindset enhances agile project success [4]. Early career software engineers typically receivetheir first exposure to agile principles and methods in a university setting. Project-centric coursessuch as capstone experiences often expose students to the Agile Manifesto and to themechanisms of industry-relevant agile practices. But to what extent does this exposure help thesefuture professionals develop the agile mindset required to be successful in the modern softwaredevelopment organization?Popular
Integrated Rubric for Assessing Engineering Education. J of Engineering Edu 2004, 93 (2), 105–115. https://doi.org/10.1002/j.2168- 9830.2004.tb00795.x.(20) Weber, P. M.; Lee, S.-J.; Dillon, H. Benefits of Statics Concept Mapping in Career Cognition. In 2022 ASEE Annual Conference and Exposition, Conference Proceedings; 2022; p https://peer.asee.org/40968.
mention all or most of the fiveepistemic frame elements (Knowledge, Skills, Identity, Values, and Epistemology), that theseframe elements co-occur with enough frequency to create epistemic networks, and that theseepistemic networks align with the student writing and provide insight on how students areintegrating their learning.References[1] L. A. Perry and J. S. London, ‘The Transfer of Learning Between School and Work: A New Stance in the Debate About Engineering Graduates’ Preparedness for Career Success Abstract’, in 2021 ASEE Virtual Annual Conference Content Access, 2021.[2] F. Kjærsdam, ‘Technology transfer in a globalised world: transferring between university and industry through cooperation and education’, World
learning methods areparticularly pertinent for architecture students, given the artistic nature of their career, wherevisuals play a crucial role. “... Architecture students are generally visually orientated andhave rather creative minds, capacities that seem less compatible with the more-strict rulesand systematic approach of doing research” [1]. Considering this characteristic ofarchitecture students, there is a preference towards the use of create visual study tools ratherthan traditional reading-writing methods.It is crucial to recognize that employing diverse teaching methods enhances the approach toknowledge acquisition. In the field of architecture, establishing connections betweentheoretical concepts and their practical and technical
students were certainly involved in the world of research, as described in moredetail below. The series has been successful in other ways too, such as producing publication-quality results and has initiated successful engineering careers for many of the students.In all, two research papers have resulted from these capstone projects which, in turn, includelinks to data repositories to enable others to build wireless sensor nodes from these projects’source code and hardware designs. Student teams showed clear improvement, year on year: afterYear 1, the fundamental components were present, but a cohesive demonstration was challengingand no paper could be written about the results. In Year 2, the project functioned but needed asummer student to fix
Education at Utah State University. His research lies in spatial thinking and ability, curriculum development, and professional development in K-16 engineering teaching.Dr. Angela Minichiello, Utah State University Angela (Angie) Minichiello is a military veteran, licensed mechanical engineer, and associate professor in the Department of Engineering Education at Utah State University. Her research examines issues of access, equity, and identity in the formation of engineers and a diverse, capable 21st century engineering workforce. Angie received an NSF CAREER award in 2021 for her work with student veterans and service members in engineering. ©American Society for Engineering Education
allowed students tocatch up on any issues that arose during the labs. Sometimes, the TA created extra hands-on whenstudents were not clear on some of the concepts the professor covered in class. Feedback fromcourse evaluation was positive overall, and many liked the course split between theory andpractice, between professor of instruction and lab TAs. We are currently collecting data from thecourse evaluations, and we hope to analyze the data and present the results in future work.Conclusions and Future WorkThis paper presented a comprehensive framework for teaching cloud computing in highereducation. The framework forces the student to use the Cloud throughout his academic career insuch a way that prepares him for certification as well as entry
academic journey, Dr. Saharan contributed as an Assistant Teaching Professor at Penn State Behrend during the academic year 2019-20. Here, he played a pivotal role in developing new courses for the biomedical minor within the Mechanical Engineering department. Prior to his tenure in the United States, Dr. Saharan held the position of Assistant Professor (Instruction) in the Mechanical Engineering department at the National Institute of Technology Kurukshetra in India. Throughout his academic and research career, Dr. Saharan has made significant contributions in both teaching and research roles, spanning multiple countries and institutions. ©American Society for Engineering Education, 2024
.1211286109.[6] K. Aschaffenburg and I. Maas, “Cultural and educational careers: The dynamics of social reproduction,” Amer. Sociol. Rev., vol. 62, no. 4, pp. 573–587, Aug. 1997.[7] R. M. Branch, Instructional Design: The ADDIE Approach. Boston, MA: Springer US, 2009. doi: 10.1007/978-0-387-09506-6.[8] A. K. N. Hess and K. Greer, “Designing for Engagement: Using the ADDIE Model to Integrate High-Impact Practices into an Online Information Literacy Course,” Commun. in Inf. Literacy, vol. 10, no. 2, pp. 264–282, 2016, doi: 10.15760/comminfolit.2016.10.2.27.[9] DMUELLER, “Framework for Information Literacy for Higher Education,” Association of College & Research Libraries (ACRL). https://www.ala.org/acrl/standards/ilframework
students to create authentic engineering products. Accordingto the Department of Mechanical Engineering, specific advantages for Writing as an Engineer areas follows: 1. The course requires types of assignments (report and proposal) that students are more likely to write as professionals in their future careers. 2. The course gives students a more authentic writing assignment (having scope defined by manager and having an authentic audience, purpose, and format). 3. The course gives students feedback on the technical precision of the writing. 4. The course gives students feedback on the emphasis of the most important technical detailsWriting as an Engineer also provides students with opportunities to further engage
serves as a reviewer for several international conferences and peer-reviewed journals.Mahesh Kumar Pallikonda, Austin Peay State University Dr. Mahesh Kumar Pallikonda is a faculty member in the Department of Engineering technology at Austin Peay State University (APSU). Prior to his academic career, he gained valuable industry experience in roles ranging from New Product Development to Process Control. He holds a Ph.D. and a Master’s degree in Mechanical Engineering from Cleveland State University, as well as a Bachelor’s degree in Manufacturing Engineering from the National Institute of Advanced Manufacturing Technology. Prior to joining APSU, he served as a faculty member at Ohio Northern University, where he
].This virtual shop platform provides a safe environment to validate robotic program for anykinematic motion of the factory floor components, before it is downloaded into the physicalcontroller. In addition to the safety features, virtual commissioning also saves cost from redundantcomponents, programming error, and debugging time, before the shop is actually built [6-8]. Inpreparing students for their future career, simulation experience integrated hands-on training is animportant part of their education. VR robotics simulation and weekly robotics laboratories areexcellent teaching aids for providing students with opportunities to implement the theory theylearn in class. Students begin their projects by identifying the main components of a
likely to switchout of engineering (Benson et al., 2019; Marra et al., 2012; Seymour & Hewitt, 1997), and showdecreased interest in pursuing engineering careers (Good et al., 2012; Lichtenstein et al., 2014). Developing a sense of belonging in engineering learning environments can beparticularly difficult for women, students of color, and students with disabilities because of theracism, sexism, and ableism they encounter throughout their postsecondary journey, however,students experiencing marginalization have also been known to resist systemic factors thatmarginalize them (Espinosa, 2011; Reinholz & Ridgway, 2021; Rodriguez & Blaney, 2021). Interestingly, much of the literature that focuses on the sense of belonging
need a way toarticulate both tacit and explicit knowledge. This paper presents a thought model about how thework of the Director of a successful program is organized.Composing a model of how diversity programs at colleges and universities should and/or dowork, as viewed from outside is likely to result in lists of events, which are clearly a part ofexplicit knowledge. A program has mentoring. It has bridge programs. It may include a varietyof career programs or speaker programs. What is typically invisible from outside is that theseevents and programs are outward manifestations of planning and practices that come from bothresearch and experience and a combination of tacit and explicit knowledge.What may not be evident from the external view is
Reviews, 10(20), 2737-2744. Edwards, J. R., & Bagozzi, R. P. (2000). On the nature and direction of relationships between constructs and measures. Psychological Methods, 5(2), 155-174. Flynn, D. (2014). Baccalaureate attainment of college students at 4-year institutions as a function of student engagement behaviors: Social and academic student engagement behaviors matter. Research in Higher Education, 55(5), 467-493. https://doi.org/10.1007/s11162- 013-9321-8 Hu, S., & Wolniak, G. C. (2013). College student engagement and early career earnings: Differences by gender, race/ethnicity, and academic preparation. Review of Higher Education: Journal of the Association for the Study of Higher
Factors and Ergonomics and a Ph.D. degree in Industrial Engineering and Operations Research from The Pennsylvania State University (PSU) in 2010 and 2012, respectively. Dr. Ashour was the inaugural recipient of William and Wendy Korb’s Early Career Professorship in Industrial Engineering in 2016. Dr. Ashour’s research areas include data-driven decision-making, modeling and simulation, data analytics, immersive technologies, and process improvement. He contributed to research directed to improve design and engineering education.Dr. Sabahattin Gokhan Ozden, Pennsylvania State University Dr. Sabahattin Gokhan Ozden is an assistant professor of Information Sciences and Technology at Penn State Abington. He has a Ph.D. and
Paper ID #41951Websites as Gateways to Inclusive Partnerships: Examining Diversity Representationfor Environmental Nonprofits and Engineering Programs in Buffalo, NewYorkDr. Monica Lynn Miles, University at Buffalo, The State University of New York Monica L. Miles, Ph.D. is an early career Assistant Professor of Engineering Education at the University at Buffalo in the School of Engineering and applied sciences. Dr. Miles considers herself a scholar-mother-activist-entrepreneur where all her identities work in harmony as she reshapes her community. She is a critical scholar who seeks transformative solutions to cultivate
Sandoval, Phuong TruongAbstract: Learning can be a daunting and challenging process, particularly in engineering. Whilecognitive models for learning such as Bloom's taxonomy have been developed since the 1950s andevidenced to be useful in designing engineering courses, these models are not commonly explicitlytaught in classrooms to help students manage and regulate their own learning. In highly demandingcurriculum such as engineering, ineffective strategies can lead to poor academic performance thatcascades throughout a student’s academic career. Feedback from traditional examinations often donot provide personalized and actionable changes to study habits (i.e., with suboptimal scores,students may know they need to study more, but whether “more
workforce. Currently, he investigates the effect of a novel program to increase the retention of first-year undergraduate students enrolled in an engineering college. The program also aims at increas- ing engineering student success, enhancing the sense of community and belonging by the students, and improving the transfer of knowledge in the engineering disciplines. In order to succeed in his research endeavors, Dr. Grau frequently collaborates with social scientists and educators. Prior to his academic career, he worked for more than seven years both leading an engineering department and managing com- plex industrial projects in South and Central America, and Europe. He is a registered Industrial Engineer in Spain and
2006 he was tenured and promoted to the rank of Associate Professor. Mike gained 10 years of industrial and academic research lab experience at 3M, FMC, and the University of Minnesota prior to embarking on an academic career at Rochester Institute of Technology (3 years) and Minnesota State University, Mankato (2 years). Mike holds a Bachelor of Mathematics from the University of Minnesota (with distinction), an MS in Mechanical Engineering from MIT, and a Ph.D. in Mechanical Engineering from the University of Minnesota. He is also a member of ASME, SIAM, and ASEE. Page 22.1046.1
before taking the course.This provides immediate feedback on the success of the course in meeting its objectives. Toassess the long-term impact of the course, information will be derived from several sources. Forundergraduate participants, information from senior exit interviews can be used. Additional datawill be collected on the career choices of students who have taken the proposed course and theiroverall employment rates.SummaryThe new transdisciplinary program based on the biomedical instrumentation laboratory to bedeveloped is described in this paper. The main participants in this development are the School ofTechnology and Professional Studies, School of Biomedical Engineering, Science and HealthSystems, and the College of Nursing and
AC 2011-1893: USE OF HIPELE APPROACH IN A SPLIT-LEVEL CHEM-ICAL ENGINEERING ELECTIVE COURSEAdrienne R. Minerick, Michigan Technological University Adrienne Minerick is an Associate Professor of Chemical Engineering at Michigan Tech having moved from Mississippi State University in Jan 2010, where she was a tenured Associate Professor. She received her M.S. and Ph.D. from the University of Notre Dame in 2003 and B.S. from Michigan Technological University in 1998. Adrienne’s research interests include electrokinetics and the development of biomedi- cal microdevices. She earned a 2007 NSF CAREER award; her group has published in the Proceedings of the National Academy of Science, Lab on a Chip, and had an AIChE
use of impromptudesign exercises across the engineering curriculum. The paper concludes by describing a pilotstudy on impromptu design exercises being conducted by the authors.1. Mind the gapThe call for more design experience in engineering curricula draws attention to a problem indesign education that engineering educators have noted for quite some time. Traditionalengineering programs lack curricular coherence when it comes to design. Students typicallyhave design experiences during introductory coursework (or “cornerstone” courses2) as freshmenand then again later as seniors during capstone projects or seminars. Thus, design experiencescomprise disjointed bookends in students‟ college careers. Their sophomore and junior years aredevoted
, and normally learned on the job. The best systemsthinkers become technical leads and managers in part because they become experts in systemsthinking as part of their professional and technical career growth. Systems thinking is in ourexperience often developed through informal mentoring, and is larger in its aims and scope than Page 22.1693.2systems engineering (as often executed, e.g., using trade studies involving several variables).Our definition includes the systems dynamics viewpoint and encompassing contexts, but alsoinvolves thinking about the design process in ways that (i) span traditional disciplinaryboundaries, (ii) integrate
course sequence thatwas introduced in the 2009-10 year.3. Course DevelopmentHistorically, the EAS 101 syllabus followed a traditional set of topics, such as problem solvingand data presentation. Rudimentary coverage of mechanical systems, electric circuits, fluidmechanics, thermodynamics, and statistics was provided. Other subjects included someprinciples of design, engineering economics, ethics, and a very short MATLAB tutorial. The CSprogramming course was devoted exclusively to teaching the fundamentals of computerprogramming, with UNIX serving as the development environment. These courses exhibited anumber of deficiencies for prospective ECE students: ● For those who were still undecided about engineering as a career path, the EAS and CS
all courses(e.g. Caucasian (74% and 64% respectively for the two Circuits classes; 78% Introduction toElectronics; 90% Electronic Instrumentation), Asian (13%; 20%; 12%; 5% respectively), andHispanic (4%; 11%; 5%; 5% respectively).19Similarly, evaluators have found successful use with students representing different stages ofcareer development. Those enrolled in Electric Circuits in the replication phase were primarily intheir second year while the courses in each transfer phase represented more advanced courses atRPI and generally served students at a higher level in their academic career. The majority ofstudents enrolled in the course in the context-transfer phase were third and fourth year studentsin mechanical or aeronautical engineering