growth in educational technology has led to the promise ofAdvanced Personalized Learning, one of the National Academy of Engineering’s fourteen GrandChallenges for Engineering for the 21st century [2]. In response, we have crafted an adaptiveautomated system for development of conceptual understanding in introductory materials sciencecourses – the Crystallography Adaptive Learning Module (CALM). The components andSTUDENT-TOOL INTERACTIONS FROM A CONCEPTUALLY CHALLENGING CALMadaptive logic in the CALM as well as quantitative studies related to the tool have been reportedpreviously [3], [4], [5] and are briefly discussed later in this paper.However, due to the challenges in developing such adaptive computerized tools [6], [7] as wellas conceptual
Paper ID #43562BYOE: Soft Robotic Fish ProjectMatthew Longstreth, Rowan UniversityVincent Sambucci, Rowan UniversityAlex Thomas Siniscalco, Rowan UniversityDr. Smitesh Bakrania, Rowan University Dr. Smitesh Bakrania is an associate professor in Mechanical Engineering at Rowan University. He received his Ph.D. from University of Michigan in 2008 and his B.S. from Union College in 2003. His research interests include combustion synthesis of nanoparticles and combustion catalysis using nanopar- ticles. He is also involved in developing educational apps for instructional and research purposes.Dr. Mitja Trkov, Rowan University
Professor in the Department of Engineering & Science Education in the College of Engineering, Computing, and Applied Sciences at Clemson University. His work focuses on how technology supports knowledge building and transfer in a range of learning environments. ©American Society for Engineering Education, 2024 (WIP) Compiling Resilience: A Study on First-Generation Women Pursuing Computing DegreesIntroductionUnder-representation of women in science, technology, engineering, and mathematics (STEM) iswell-researched from a range of perspectives yet persists as an issue [1]. Among the women whohave chosen to pursue a STEM degree, many are first-generation college students and
. ©American Society for Engineering Education, 2024 Continuous Speech Emotion Recognition from Audio Segments with Supervised Learning and Reinforcement Learning Approaches1. IntroductionEmotion plays an important role in communications, conveying essential information beyondwords. This is particularly evident in enhancing Human-Computer Interaction (HCI) and SpeechEmotion Recognition (SER). The latter is a specialized area within Automatic SpeechRecognition (ASR) and focuses on identifying human emotions, which is crucial to advancingHCI. Recognizing emotions in speech, such as anger or joy, allows AI systems to interpret andrespond more effectively to human expressions.Emotion recognition technology can be integrated into engineering
Paper ID #42701Board 122: Preparing to Teach a Multi-Campus (Distributed Learning) CourseDr. Casey James Keulen, University of British Columbia, Vancouver Casey Keulen is an Assistant Professor of Teaching at the University of British Columbia, where he serves as the program advisor for the Manufacturing Engineering undergraduate program. Casey’s research interests include multi-campus instruction and the development of open educational resources.Dr. Christoph Johannes Sielmann P.Eng., University of British Columbia, Vancouver Dr. Sielmann is an Assistant Professor of Teaching at the University of British Columbia in the
Experiments and Interpret Data," Advances In Physiology Education, vol. 27, no. 1, 2003.[7] A. P. McNeal, D. U. Silverthorn and D. B. Stratton, "Involving students in Experimental Design: Three approaches," American Journal of Physiology, vol. 275, no. 6, 1998.[8] J. Alvarado, "Design your own thermodynamics experiment, a problem-based learning approach in engineering technology," in ASEE Annual Conference, 2006.[9] Y. Yesilevskiy, A. Thomas, J. Oehrlein, M. Wright and M. Tarnow, "Introducing Experimental Design to Promote Active Learning," in ASEE Annual Conference, 2022.[10] ABET, 2022-2023. [Online]. Available: https://www.abet.org/accreditation/accreditation- criteria/criteria-for-accrediting-engineering-programs-2022-2023
Paper ID #41213Lab on Cart: Developing a Low-Cost Fluid Visualization Setup for ExperientialLearning, Class Demonstration, and OutreachAlireza Ebadi, Worcester Polytechnic InstituteProf. Ahmet Can Sabuncu, Worcester Polytechnic Institute Dr. Sabuncu holds a Ph. D. in Aerospace Engineering from Old Dominion University. Dr. Sabuncu’s professional interests spans from engineering education research, history of science and engineering, thermo-fluids engineering, and microfluidic technology. ©American Society for Engineering Education, 2024 2024 ASEE Annual Conference Work
this manuscript are those of the author(s) and donot necessarily reflect the views of the National Science Foundation.References[1] American Society for Engineering Education (ASEE). “Engineering and Engineering Technology by the Numbers.” asee.org. [Online]. https://ira.asee.org/wp- content/uploads/2023/12/Engineering-and-Engineering-Technology-by-the-Numbers-2022- 1.pdf. [Accessed Jan. 31, 2024].[2] P. Meiksins, and P. Layne, “Women in Engineering: analyzing 20 years of social science literature,” Magazine of the Society of Women Engineers, vol. 70, no. 1, Winter 2024. [Online]. Available: https://magazine.swe.org/lit-review-22/. [Accessed
Audrey Boklage, PhD University of Texas at AustinIntroductionWhat is a makerspace?Academic makerspaces are prevalent in institutions across the world; specifically inundergraduate engineering programs. Makerspaces are informal, opt-in STEM (science,technology, engineering, mathematics) spaces and are increasingly recognized for their potentialto increase student access to and engagement with STEM (e.g., Martin, 2015, Roldan et al.,2018, Wilkczynski et al, 2019). Over the past two decades, research has highlighted the benefitsof makerspaces, including engineering specific skills, such as prototyping, supporting studentdesign projects, entrepreneurship, and innovation, (Forest et al., 2014; Wilczynski et al., 2016
. Karl A. Smith, University of Minnesota, Twin Cities Emeritus Professor of Civil, Environmental, and Geo- Engineering, Morse-Alumni Distinguished University Teaching Professor, Faculty Member, Technological Leadership Institute at the University of Minnesota; and Emeritus Cooperative Learning Professor of Engineering Education at Purdue University.. ©American Society for Engineering Education, 2024 Work in Progress: PLSG – An Observational Study of Student Questions to Identify Levels of Cognitive Processing Reached During DiscussionAbstract - This Work in Progress study reviews the PEERSIST (PEER-led, Student Instructed,STudy group) project, which explores the achievement and persistence of students
performance incomputer-based learning environments: a meta-analysis,” Asia Pacific Education Review, vol.17, no. 2, pp. 187–202, Apr. 2016, doi: https://doi.org/10.1007/s12564-016-9426-9.[2] S. Doukakis and M.A. Papalaskari, “Scaffolding Technological Pedagogical ContentKnowledge (TPACK) in Computer Science Education through Learning Activity Creation,” in2019 4th SouthEast Europe Design Automation, Computer Engineering, Computer Networks andSocial Media Conference (SEEDACECNSM), pp. 1–5. doi:https://doi.org/10.1109/SEEDACECNSM.2019.8908467.[3] A. Devolder, J. van Braak, and J. Tondeur, “Supporting self-regulated learning in computer-based learning environments: systematic review of effects of scaffolding in the domain ofscience education,” Journal
with CDS, National Science Foundation-funded OpenRAM, and Mentor Graphics and Synopsys EDA flows. I have also developed design flows for Google, Skywater Technology, IBM, trusted foundry, and the US Air Force. I am committed to use my experience to help others learn these tools and help develop them to further research endeavors for everyone involved.Erin Dyke, Oklahoma State UniversityJohn Hu, Oklahoma State University John Hu received his B.S. in Electronics and Information Engineering from Beihang University, Beijing, China, in 2006 and his M.S. and Ph.D. in electrical and computer engineering from the Ohio State University, Columbus, OH, in 2007 and 2010, respectively. He worked as an analog IC designer at Texas
Paper ID #43167Board #443 - High Impact Student Engagement at an Urban Commuter Institutionin a Remote Environment During COVID-19 Pandemic and ContinuationPost COVIDDr. Claude Brathwaite, City University of New York, City College Dr. Claude Brathwaite is currently the Director of Student Resources and Services at the Grove School of Engineering. He served as the Executive Director for the New York City Louis Stokes Alliance for Minority Participation in Science, Technology, Engine ©American Society for Engineering Education, 2024HIGH IMPACT STUDENT ENGAGEMENT AT AN URBAN COMMUTER INSTITUTION IN AREMOTE
Bachelor of Arts degree in Sociology from St. Mary’s University, San Antonio.Dr. Mark Appleford, The University of Texas at San AntonioDr. Arturo Montoya, The University of Texas at San AntonioDr. Harry R. Millwater Jr., The University of Texas at San AntonioDr. Jose Francisco Herbert Acero, The University of Texas at San Antonio Dr. Francisco Herbert got his Ph.D. degree in engineering sciences from the Monterrey Institute of Technology and Higher Education (ITESM) in 2015. He serves as professor of instruction at the Mechanical Engineering department of the University of Texas at San Antonio.Prof. Heather Shipley, The University of Texas at San Antonio Dr. Heather J. Shipley is currently the Interim Vice Provost
23, no. 1 (2011): 32-46.[5] Shahali, Edy Hafizan Mohd, Lilia Halim, Mohamad Sattar Rasul, Kamisah Osman, and Mohd Afendi Zulkifeli. "STEM learning through engineering design: Impact on middle secondary students’ interest towards STEM." EURASIA Journal of Mathematics, Science and Technology Education 13, no. 5 (2016): 1189-1211.[6] Asefer, A., and Z. Abidin. "Soft skills and graduates’ employability in the 21st century from employers’ perspectives: A review of literature." International Journal of Infrastructure Research and Management 9, no. 2 (2021): 44-59.[7] Davidson, Kate. "Employers find ‘soft skills’ like critical thinking in short supply." The wall street journal 30, no. 3 (2016).[8] Aliu, John, and Clinton
morecommunal and reflective practice in PBL design and implementation will lead to more dynamic,engaging, and effective learning environments that are better suited to meet the challenges of 21st-century education.References[1] D. H. Jonassen, “Toward a design theory of problem solving,” Educational technology research and development, vol. 48, no. 4, pp. 63–85, 2000.[2] G. P. Wiggins and J. McTighe, Understanding by Design. ASCD, 2005.[3] J. Chen, A. Kolmos, and X. Du, “Forms of implementation and challenges of PBL in engineering education: a review of literature,” European Journal of Engineering Education, vol. 46, no. 1, pp. 90–115, Jan. 2021, doi: 10.1080/03043797.2020.1718615.[4] A. Olewnik, A. Horn, L. Schrewe, and S. Ferguson, “A
interaction. A half-open-endedproblem is particularly suitable for materials science labs where students are often required toaddress engineering problems from a materials aspect. Not only does it require students tointegrate knowledge and experience from different courses to understand real-world problems,but it also demands the use of multiple characterization technologies to comprehend a material.Specifically, conversation with chat GPT is allowed and encouraged in this stage of the lab.The materials science lab is materials-based, and the materials of faculty research are chosenfor lab modification. One of the primary distinctions lies in the evolution of the lab's objectives. Instead ofsolely focusing on familiarizing students with
development, technology and campus collaboration, as well as developing leadership skills. She participated in the CLIR/EDUCAUSE Leading Change Institute in 2014. ©American Society for Engineering Education, 2024 Professional Competency Development Through Reflection (Work-in-Progress)IntroductionStudents attend college for a variety of reasons - particularly for engineering undergraduates, it isto learn the technical skills that will form the knowledge base they will use throughout theirentire careers. However - whether they know it or not - they are also gaining non-technical,professional skills through their experiences both inside and outside of the classroom
current contributing areas.Prof. Nathan Mentzer, Purdue University Nathan Mentzer is a professor in the Purdue Polytechnic with a joint appointment in the College of Education at Purdue University. Hired as a part of the strategic P12 STEM initiative, he prepares Technology and Engineering teachers for state certification. ©American Society for Engineering Education, 2024 Students’ Perceptions and Use of AI tools in a First Year Design Thinking CourseAbstractThis is a Complete Paper. The rapid advancement of artificial intelligence (AI) tools likeChatGPT has ignited vigorous debate across academia about the role of AI in education. Whileperspectives range from AI
Paper ID #43258Board 72: Adaptive Affect-Aware Multimodal Learning Assessment Systemfor Optimal Educational InterventionsMr. Andres Gabriel Gomez, University of Florida I am a second year MS student in the department of Electrical & Computer Engineering at the University of Florida. My research interests include, but are not limited to, computer vision in healthcare (i.e., medical image segmentation), AI for clinical workflows, and education technologies. I am currently working on cardiac magnetic resonance imaging (CMRI) segmentation and pursuing an independent study project in education technology. I hope to
. Eff. Interv., vol. 35, no. 3, pp. 141–147, Jun. 2010.[21] L. Angrave, K. Jensen, Z. Zhang, C. Mahipal, D. Mussulman, C. D. Schmitz, R. T. Baird, H. Liu, R. Sui, M. S. Wu, and R. Kooper, “Improving student accessibility, equity, course performance, and lab skills: How introduction of ClassTranscribe is changing engineering education at the University of Illinois,” presented at the ASEE, Virtual, 2020.[22] M. V. Izzo, A. Murray, S. Priest, and B. McArrell, “Using student learning communities to recruit STEM students with disabilities,” J. Postsecond. Educ. Disabil., vol. 24, no. 4, pp. 301–316, Dec. 2011.[23] M. P. Malcolm and M. C. Roll, “Self-reported assistive technology outcomes and personal characteristics in
Paper ID #41962Board 413: Undergraduate Robotics Education with General Instructors Usinga Student-Centered Personalized Learning FrameworkDr. Rui Wu, East Carolina University Rui Wu received a Bachelor degree in Computer Science and Technology from Jilin University, China, in 2013. He then pursued his Master and Ph.D. degrees in Computer Science and Engineering at the University of Nevada, Reno, completing them in 2015 and 2018, respectively. Currently, Rui works as an assistant professor in the Department of Computer Science at East Carolina University, collaborating with geological and hydrological scientists to
an ethnographic study of the interplay between ethics and imagination in engineering research. As an extension of this work, I am closely collaborating with engineers and other technologists on issues related to the future of work and technology. In addition, I am a co-PI on an NSF-funded graduate research training program on robots in the future workplace, and a co-PI on an NSF-funded research project on platform design for nonprofits. ©American Society for Engineering Education, 2024 ConGrad: A Graduate Education Framework for Convergence Research and Experiential Learning Tess B. Meier, Ceren Yilmaz-Akkaya, Yunus Do˘gan TellielAbstractGraduate STEM programs
Paper ID #44348Using Generative AI for a Graduate Level Capstone Course Design—a CaseStudyDr. Wei Lu, Texas A&M University Dr. Wei Lu is a Postdoctoral Researcher at the Department of Engineering Technology & Industrial Distribution at Texas A&M University. Her research focuses on Higher Education in Agriculture & Engineering, K-12 (STEM) Education, Communications, MarketingDr. Behbood ”Ben” Ben Zoghi P.E., Texas A&M University Ben Zoghi is the Victor H. Thompson endowed Chair Professor of electronics engineering at Texas A&M University, where he directs the College of Engineering RFID Oil & Gas
those results to the overallaverages amongst each population. This article will analyze if the separation of race, sex, anddisability in this report is suppressing or erasing the negative implications for these marginalizedgroups in STEM.Introduction The purpose of this WIP research paper is to study the impact an intersectional analysis ofdisability, race/ethnicity, and sex has on the salary of Science, Technology, Engineering, andMathematics (STEM) professionals. For almost a century, the United States has made political,academic, and professional pushes to fill a decreasing STEM workforce. Laws have been passedand programs put in place to increase the number of STEM professionals in all areas of industryin the U.S. [1]. In parallel
[9]. Thus, students must be actively involved in themakerspace and community to reap the identified benefits. However, Barton et al. found littleevidence demonstrating the involvement of diverse audiences in makerspaces [10]. A sizablegroup of students is not participating in makerspaces, thereby missing out on the documentedbenefits.Research suggests there is a caveat to the democratizing and transformative nature ofmakerspaces, where technology-oriented makerspaces fall prey to the marginalizing normswithin STEM and engineering environments [11], [12]. To address this issue, an emerging bodyof research focuses on creating inclusive makerspaces. An inclusive makerspace intentionallycreates a safe space for students to foster meaningful
). Soft robotics as emerging technologies: Preparing students for future work through soft robot design experiences. Technology and Engineering Teacher, 79(6), 8-14. Retrieved from https://www.proquest.com/scholarly-journals/soft- robotics-as-emerging-technologies-preparing/docview/2389222083/se-2?accountid=14579 6. Programmable-Air, https://www.programmableair.com/ 7. I-Robot Create 2, https://edu.irobot.com/what-we-offer/create-robot 8. Sphero RVR, https://sphero.com/pages/sphero-rvr-resources 9. Agilex LIMO Robot, https://docs.trossenrobotics.com/agilex_limo_docs/ 10. Allan, M., et al., "Planetary Rover Simulation for Lunar Exploration Missions," 2019 IEEE Aerospace Conference, Big Sky, MT, USA
Paper ID #42957Transforming Pedagogical Assessment: AI and Computer Vision-EnhancedClassroom Observations for Experiment-Centric Learning EnvironmentsMs. Blessing Isoyiza Adeika, Morgan State University Blessing ADEIKA is a Doctoral student at Morgan State University currently in the Doctor of Engineering Program. She has an interest in teaching student basic concepts by adopting an Experiment-centric approach to it. She also is currently working towards being a Data Scientist - AI/ML Expert and hopes to use her skills to proffer solutions in the Medical, Financial, Technology and any other Sector she sees a need to be
& Learning, College of Education, University of Florida. Her research focuses on artificial intelligence in education, learning analytics, inclusive AI, computer science, and STEM education.Chenglu Li, The University of Utah Chenglu Li is an Assistant Professor in Educational Technology and Instructional Design at the University of Utah. He is interested in extending and developing algorithmic and design strategies to promote fair, accountable, and transparent (FAccT) AI in STEM education. ©American Society for Engineering Education, 2024 Work-in-Progress: The Seamless Integration of Machine Learning into High School Mathematics ClassroomsIntroductionMachine learning
theory, system identification, machine learning, and energy resilience fundamentals. His work has been published through the American Society for Engineering Education (ASEE) and the Institute for Electrical and Electronics Engineering (IEEE); he is an active member of both organizations. He holds a PhD and BS in Electrical Engineering from the University of Kentucky.Prof. James C. Squire P.E., Virginia Military Institute James Squire is the Jamison-Payne Professor of Electrical Engineering at the Virginia Military Institute. Dr. Squire received a B.S. from the United States Military Academy and his Ph.D. from the Massachusetts Institute of Technology. He was awarded a Bronze Star in the Army during Desert Storm and