Paper ID #41727Board 357: Psychosocial and Skills-Based Outcomes of Participating in VerticallyIntegrated Projects (VIP)Craig O. Stewart, University of Memphis Dr. Craig O. Stewart is a professor of Communication at the University of Memphis.Dr. Chrysanthe Preza, The University of Memphis Chrysanthe Preza is the Kanuri Professor and Chair in the Department of Electrical and Computer Engineering at the University of Memphis, where she joined 2006. She received her D.Sc. degree in Electrical Engineering from Washington University in St. Louis in 1998. She leads the research in the Computational Imaging Research Laboratory at
Communication at BUT (in either the Department of RadioElectronics or Department of Telecommunications). Faculty were selected based on their activeresearch related to fractional-order circuits and systems and their interest in mentoringundergraduate students. Students were provided access to an electronics laboratory on campus astheir shared research space. For research activities, participants were expected to spend 40 hoursper week working to meet the goals of their specific research.The program coordinator remained in Brno for three (Year 1) or four (Year 2) weeks to transitionstudents into their projects and establish the relationships with their BUT mentors. During thisperiod the cohort and coordinator participated in social/cultural activities
Paper ID #42780Connecting Engineering Ethics with a Shared CurriculumDr. Markus D. Ong, Whitworth University Dr. Markus Ong is an associate professor within the Department of Engineering & Physics at Whitworth University, located in Spokane, WA. He earned his PhD in materials science and engineering from Stanford University in 2008 and was a staff researcher developing and characterizing nanomaterials at Sandia National Laboratories in Livermore, CA before starting at Whitworth in 2010. His current teaching responsibilities primarily include lower division physics classes, materials and mechanics classes in the
. 11, Page 5294, vol. 11, no. 19, p. 5294, Sep. 2019, doi: 10.3390/SU11195294.[6] Y.-P. Cheng, C.-F. Lai, Y.-T. Chen, W.-S. Wang, Y.-M. Huang, and T.-T. Wu, “Enhancing student’s computational thinking skills with student-generated questions strategy in a game-based learning platform,” Comput Educ, vol. 200, p. 104794, 2023, doi: 10.1016/j.compedu.2023.104794.[7] S. Daniau, “The Transformative Potential of Role-Playing Games—: From Play Skills to Human Skills,” Simul Gaming, vol. 47, no. 4, pp. 423–444, Aug. 2016, doi: 10.1177/1046878116650765.[8] P. Chan, T. Van Gerven, J. L. Dubois, and K. Bernaerts, “Study of motivation and engagement for chemical laboratory safety training with VR serious game,” Saf Sci, vol
Portland State University. Prior to his Ph.D., he was Member of Technical Staff at Sandia National Laboratories, Livermore, Visiting Lecturer at Da Nang University of Technology, Vietnam, and Electrical Engineer for an experimental ROV at McMurdo Station, Antarctica. He has served on various ACM SIGGRAPH conference committees serving as emerging technology juror and responsible for special technical projects and data networks. His research interests include crystal-free RF communication, low-power circuit design, and field-deployable sensor systems. He is a Senior Member of the IEEE. ©American Society for Engineering Education, 2024 Wireless Environmental Sensing Electronics
. Baharuddin, Ampera, D., Fibriasari, H., Sembiring, M. A. R., & Hamid, A. (2021). Implementation of cloud computing system in learning system development in engineering education study program. International Journal of Education in Mathematics, Science, and Technology (IJEMST), 9(4), 728-740. https://doi.org/10.46328/ijemst.21144. Mell, P., & Grance. P. (2011). The NIST Definition of Cloud Computing. Computer Security Division Information Technology Laboratory National Institute of Standards and Technology Gaithersburg, MD 20899-8930. http://csrc.nist.gov/publications/nistpubs/800-145/ Special Publication 800-1455. https://www.synopsys.com/cloud/insights/essential-cloud-computing- characteristics.html#:~:text=The%20National
and previous teaching experience to self-efficacy among graduate teaching assistants. Res High Educ. 1994;35(4):481-497. doi:10.1007/BF0249638416. Chiu PHP, Corrigan P, Hui SKF. A study of graduate teaching assistants’ self-efficacy in teaching: Fits and starts in the first triennium of teaching. Cogent Education. 2019;6(1). doi:10.1080/2331186X.2019.157996417. Wheeler LB, Chiu JL, Maeng JL, Bell RL. An exploratory study of teaching assistants’ motivation for inquiry-based teaching in an undergraduate laboratory context. Chemistry Education Research and Practice. 2019;20(1):53-67. doi:10.1039/c8rp00157j18. Nasser-Abu Alhija F, Fresko B. Graduate teaching assistants: motives, difficulties and
enough space until the library's renovation. Build upon excellence in undergraduate programming – the university has a reputation for producing outstanding graduates who excel in the industries that hire them. However, there are ways (such as those outlined above regarding experiential learning) that allow students to learn job-ready skill sets. As space for laboratories in academic buildings is at a premium, the library is offering access to better fulfil this demand. One additional component of this is in the institutional expansion of student success programs. Key aspects that the colleges are instituting to improve student academic performance include early intervention of university staff (some are from new
Paper ID #42369Weekly Professional Development Lunches to Build Community Among anS-STEM CohortCaroline Cresap, Louisiana Tech University Caroline Cresap is a second-year chemical engineering major from Zachary, Louisiana. She is a Louisiana Tech University College of Engineering and Science S-STEM SUCCESS Scholar with Ashtyne Monceaux. Along with her ASEE research, she is also an undergraduate researcher in Dr. Yang Xiao’s Reaction Engineering and Catalysis Science Laboratory. Caroline enjoys staying involved in her university and is a member of the American Institute of Chemical Engineers (AIChE), the Honors Student
critical thinking skills. Gradually, the student will be able to apply the concepts learned processing from basic to complex skills through activities like laboratories with specific feedback with the sole intention for improvement. The application of the knowledge might also then lead to analysis by exploring connections and organizing information into meaningful domains similar to writing a report. This also might include discussing discrepancies in cases and the student might explore other personal variables through their increased critical thinking [17].The taxonomy introduces a new dimension, highlighting four types of knowledge—factual,conceptual, procedural, and metacognitive—aimed at addressing diverse
. 2018, doi: 10.1186/s12874-018-0611-x.16. M. Handley et al., “Engineering Leadership Across Disciplines: A Systematic Literature Review,” International Journal of Engineering Education, vol. 37, no. 2, pp. 311–324, 2021.17. J. E. Gutierrez-Romero, B. Zamora-Parra, and J. A. Esteve-Perez, “Acquisition of offshore engineering design skills on naval architecture master courses through potential flow CFD tools,” Computer Applications in Engineering Education, vol. 25, no. 1, pp. 48–61, Jan. 2017, doi: 10.1002/cae.21778.18. T. Gomez-del Rio and J. Rodriguez, “Design and assessment of a project-based learning in a laboratory for integrating knowledge and improving engineering design skills,” Education for Chemical Engineers, vol
saltwater estuarine system that is a defining feature of our region economically, sociallyand culturally. Traditional and innovative sensor-based water quality monitoring techniques were bothdiscussed and students were provided with links to additional resources, such as relevant local agency and 4organization websites, to help launch their independent exploration of the technical literature on the topic.In addition, students engaged in a hands-on activity, exploring the use of a low-cost, simple conductivity,temperature and depth (CTD) sensor node in a laboratory setting to provide a bridge between theory andtheir independent design
Paper ID #41343Supporting First-year Students in an Introductory Mechanical EngineeringCourse to Succeed in StaticsDr. Dave Kim, Washington State University, Vancouver Dr. Dave Kim is Professor and Mechanical Engineering Program Coordinator in the School of Engineering and Computer Science at Washington State University Vancouver. His teaching and research have been in the areas of engineering materials, fracture mechanics, and manufacturing processes. In particular, he has been very active in pedagogical research in the area of writing pedagogy in engineering laboratory courses. Dr. Kim and his collaborators attracted
Year Engineering Experience committee, supervisor of the LTU Thermo-Fluids Laboratory, coordinator of the Certificate/Minor in Aeronautical Engineering, and faculty advisor of the LTU SAE Aero Design Team. Dr. Gerhart conducts workshops on active, collaborative, and problem-based learning, entrepreneurial mindset education, creative problem solving, and innovation. He is an author of a fluid mechanics textbook.Dr. Maria-Isabel Carnasciali, Merrimack College Maria-Isabel Carnasciali is the new founding Associate Dean of the School of Engineering and Computational Sciences at Merrimack College (MA). Previously, she spent 13 years at the University of New Haven (CT) where her last role included four years as Assistant
] Weinthal, C. P. (2018). Remote Labs: A Method to Implement a Portable FAU Hack-a-Thon? Logic Design Laboratory Infrastructure and to Provide Access to Mod- • Poor ern Test Equipment (Master’s Thesis, Florida Atlantic University). • Fair [9] Weinthal, C.P., Larrondo-Petrie, M.M., Zapata Rivera, L.F., (2017, July). Evolution, Design and Implementation of a Modular Portable • Good Lab Kit for Logic Design. LACCEI 2017. Retrieved from URL
, inquiry-driven techniques that promote curiosity and involvestudents as active participants in the learning process have been advocated in recent times [8],[9], [10], [11].Experiment-centric pedagogy (ECP), which combines traditional coursework with flexible, non-complex, hands-on activities and experiments, is one pedagogical strategy that induces aparadigm shift in learning whether in classrooms or laboratories, as well as educationaloutcomes. [12] define ECP as a practical, learner-centered teaching approach that uses affordableand portable devices to demonstrate STEM concepts. By giving learners’ the chance to engagedirectly with engineering phenomena, build knowledge via first-hand experience, and connecttheory to practice, these immersive
Academic OutcomesAt its core, mindfulness is a practice that involves enhancing awareness of the present moment,which can significantly improve skills necessary for successful academic outcomes such assustained focus, increased open-mindedness and innovation, and time management. Sustainedfocus is crucial for engineering students who must master complex concepts and problem-solving skills. Mindfulness practices help train the mind to resist distractions and redirectattention to the task [30]. By regularly engaging in mindfulness practices, engineering studentscan develop the mental discipline to stay focused during lectures, laboratory work, and studysessions. In addition to improving concentration, mindfulness promotes a non-judgmental andopen
, K., “Factors affecting number of citations: Acomprehensive review of the literature. Scientometrics”, Vol. 107, pp. 1195-1225, 2016.[5]. Kelly, J., Sadeghieh, T., and Adeli, K., “Peer review in scientific publications: Benefits,critiques, and a survival guide” Electronic Journal of the International Federation of ClinicalChemistry and Laboratory Medicine, 25(3), 227, 2014.[6]. Bornmann, Lutz, and Robin Haunschild. "Alternative article‐level metrics: The use ofalternative metrics in research evaluation." EMBO reports 19.12 (2018): e47260.[7]. Teplitskiy, M., Duede, E., Menietti, M., & Lakhani, K. (2020). Citations SystematicallyMisrepresent the Quality and Impact of Research Articles: Survey and Experimental Evidencefrom Thousands of
faculty, operate assupervisors, model collaboration, and provide experiences that influence undergraduate students’academic trajectories and career outlook [2], [3], [4], [5].Unlike other forms of mentoring, graduate student mentoring often lacks guidance or formaltraining [6], [7], [8]. Despite this, however, the impact of graduate student mentoring is criticalto their mentees' future academic and career trajectories [4], [9]. Much of the research literaturehas reasoned that two main goals of effective graduate student mentoring in engineeringeducation are guiding undergraduates in technical research and laboratory techniques andproviding mentees with social support [3], [9], [10]. These goals hold true for graduate studentsand postdoctoral
Paper ID #42473Growth of Student Awareness within a Discipline-Agnostic Introduction-to-EngineeringCourseDr. Gregory J. Mazzaro, The Citadel Dr. Mazzaro earned a Bachelor of Science in Electrical Engineering from Boston University in 2004, a Master of Science from the State University of New York at Binghamton in 2006, and a Ph.D. from North Carolina State University in 2009. From 2009 to 2013, he worked as an Electronics Engineer for the United States Army Research Laboratory in Adelphi, Maryland. For his technical research, Dr. Mazzaro studies the unintended behaviors of radio-frequency electronics illuminated by
, pp. 858–871, Apr. 2022, doi: 10.1080/0020739X.2020.1788185.[12]T. Jahan, “Mathematical Modelling and Problem Solving in Engineering Education,” Lic. Eng., Chalmers Tekniska Hogskola (Sweden), Sweden, 2021. Accessed: Mar. 30, 2024. [Online]. Available: https://www.proquest.com/docview/2606898891/abstract/791D96574E0E4B4EPQ/1[13]J. A. Lyon and A. J. Magana, “A Review of Mathematical Modeling in Engineering Education”.[14]Y. Tang and D. Holton, “Apply Deliberate Practice in Teaching Dynamics to Reinforce a Systematic Problem Solving Approach,” 2015.[15]C. M. Rathnayaka, J. Ganapathi, S. Kickbusch, L. Dawes, and R. Brown, “Preparative pre-laboratory online resources for effectively managing cognitive load of engineering
. Information Access: Features like access to AI-powered educational videos or resources were seen as valuable additions.Problem-Solving and Engineering-Specific Functions: Complex Problem-Solving: Students emphasized the need for AI tools to tackle more intricate mathematical and physics problems effectively. Engineering-Specific Functionality: Features tailored to specific engineering disciplines and applications were highly desired. Lab Research Assistance: Students envision AI tools playing a supportive role in laboratory research activities.Visualizations and Explanations: Visual Answers: The ability to generate visual representations of solutions and concepts was highlighted as a critical
. Carroll earned his PhD in Engineering Education with an interdisciplinary specialization in Quantitative Research Evaluation and Methodology from The Ohio State University. Prior to joining the College of Education, he was a postdoctoral researcher in the College of Education and Human Ecology at The Ohio State University. Prior to his graduate work he worked as an engineer at the Air Force Research Laboratory in Dayton, OH.Dr. Jessica R Hoehn, University of Colorado Boulder Dr. Jessica R. Hoehn is a postdoctoral researcher at University of Colorado Boulder. She received her PhD in Physics Education Research from CU, studying ontological, epistemological, and social aspects of student reasoning in quantum mechanics. Dr
in Science and as Associate Director, Engineering Education Research Center at the University of Pittsburgh; Director of Research & Development for a multimedia company; and as founding Director of the Center for Integrating Research & Learning (CIRL) at the National High Magnetic Field Laboratory. His current efforts focus on innovation of teaching practices in STEM fields and systemic change within higher education.Dr. Ibukun Samuel Osunbunmi, Pennsylvania State University Ibukun Samuel Osunbunmi is an Assistant Research Professor, and Assessment and Instructional Specialist at Pennsylvania State University. He holds a Ph.D. degree in Engineering Education from Utah State University. Also, he has BSc and
, New Orleans, LA, June 26-29, 2016.[6] E. Davishahi, R. Pearce, T. Haskell, and K. Clarks, “Statics Modeling Kit: Hands-OnLearning in the Flipped Classroom,” 2018 ASEE Annual Conference & Exposition, Salt LakeCity, UT, June 24-27, 2018.[7] M. Sarker, N. Saqib, G. Ricco, M. Hammond, J. Hilt, and J. Emery, “Work in Progress:Hands-on Engineering Mechanics with a Three-Dimensional Laboratory Unit,” 2020 ASEEAnnual Conference & Exposition, Virtual, June 21-24, 2020.[8] J. Power, “Preparing students for engineering success through improving 3-D spatial skills,”2017 ASEE Annual Conference & Exposition, Columbus, OH, June 25-28, 2017.[9] E. Davishahl, L. Singleton, and T. Haskell, “Engaging STEM Learners with Hands-onModels to Build
of the physical system. Blockdiagram of the laboratory experiment is illustrated in Figure No.1. ● Preventive and Proactive Cyber-Physical SecurityIn this course, the students will learn and implement a variety of security mechanisms. Studentswill be capable of understanding the costs, benefits, and limitations of security mechanismsdepending on the application, starting with best practices of IT network security, and thenincluding more sophisticated defense mechanisms. Particularly, students will learn the basicprinciples of machine learning and AI to develop supervised and unsupervised applications forthe detection and localization of cyber attacks using cyber and physical data. Students will beexposed to emerging proactive security
of implementing SDGs into curriculum. Not only will a wide variety of topics beingrained into engineering education, but student experiences must reinforce this learning.Options exist to create a “living laboratory” out of the campus “for the implementation anddeployment of [SDGs]” [13]. Implementing SDGs into project work often demands localizedand unique solutions acknowledging the greater system which any project exists within. Asystems thinking and entrepreneurial mindset offers the potential to identify needs and designinnovative solutions in the realm of sustainability. SDG-oriented course learning objectives candirect and motivate inclusion of topics of sustainability within course material and teachings[14].As with any topic of
. 3, pp. 37-45, 2008.[9] Q. H. Mazumder and M. R. Karim, "Comparative Analysis of Learning Styles of Students of USA and Bangladesh," 119th ASEE Annual Conference, pp. 25-328, June 2012.[10] Y. Deng and I. H. Yeter, "Exploring engineering students' perspectives on hands-on, remote, and virtual laboratories use: An engagement level exploration.," in ASEE Annual Conference & Exposition, Portland, 2024.[11] F. Zurita Ortega, A. Martinez Martinez, R. Chacon Cuberos and J. L. Ubago Jiménez, "Analysis of the psychometric properties of the Motivation and Strategies of Learning Questionnaire—Short Form (MSLQ-SF) in Spanish higher education students.," Social Sciences, vol. 8, no. 5, p. 132, 2019.[12] Department of
. This falls in linewith what Ken Bain discusses in his book, What the Best College Teachers Do, where he statesthat, “highly effective teachers design better learning experiences for their students in partbecause they conceive of teaching as fostering learning” [8]. The goal is to leverage somethingfamiliar within the classroom, like a home’s energy system, in order to create a relatableexperience that helps build upon course concepts. The new power demonstrator board isspecifically designed to function in any classroom, office, or laboratory space, utilizing 120Vsingle phase power instead of three-phase power as in the original version. This allowsinstructors more flexibility in where the lesson is presented, significantly increasing the
graded exam, the students were given a laboratory assignment inwhich they interacted with ChatGPT-3.5 to obtain feedback on their MATLAB exam. Qualitativedata on the students’ experiences with the use of ChatGPT as a tool in studying were collectedand analyzed. The results revealed that while students found the capabilities of ChatGPTintriguing, they remained skeptical in the output and reasoning given in regard to their MATLABassignment.1 IntroductionIn November of 2022, OpenAI introduced ChatGPT, a natural language processing model, to theworld. Two months later, it gained 100 million users, making it the fastest growing consumer appin history [1]. The name stems from the model’s dependence on the Generative Pre-trainedTransformer (GPT