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BOARD # 99: Work in Progress: AI in online laboratory teaching - A Systematic Literature Review

Conference Session: Computers in Education Division (COED) Poster Session (Track 1.A)
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Johannes Kubasch, University of Wuppertal; Dominik May, University of Wuppertal; Doha Meslem, Bergische Universität Wuppertal
Tagged Divisions: Computers in Education Division (COED)

Paper ID #48417BOARD # 99: Work in Progress: AI in online laboratory teaching - A SystematicLiterature ReviewMr. Johannes Kubasch, University of Wuppertal Johannes Kubasch is a mechanical engineer and research associate at the Chair of Technical and Engineering Education at the University of Wuppertal. As a engineer in automotive engineering, he initially worked in the automotive supply industry in the development of airbag systems before moving to the University of Wuppertal to work in the field of engineering education. In the past, he worked on the AdeLeBk.nrw project to digitize the university training of prospective

Relevance Score: 1.5472589

Teaching Computer Architecture Using VHDL Simulation and FPGA Prototyping

Conference Session: Computer Engineering Topics
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Ronald J. Hayne, The Citadel
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

laboratories. ©American Society for Engineering Education, 2024 Teaching Computer Architecture using VHDL Simulation and FPGA PrototypingAbstractAn Instructional Processor design example has been expanded to facilitate teaching of aComputer Architecture course. The system is modelled in VHDL and simulated using Xilinxdesign tools to demonstrate operation of the processor. A basic microcontroller is created byadding memory-mapped input/output (I/O). The system is implemented in hardware on a fieldprogrammable gate array (FPGA). The processor can then be interfaced with peripheral devicesto demonstrate functional applications.A key component of the Computer Architecture course is a student

Relevance Score: 0.8116506

QCTaaS (Quality Cloud Teaching as a Service): An Immersive Framework for Teaching Cloud Computing for Cybersecurity Majors

Conference Session: Cybersecurity Topics
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Mahmoud K Quweider, The University of Texas Rio Grande Valley; Liyu Zhang; Alexis Aaron De La Cruz
Tagged Divisions: Computers in Education Division (COED)

Paper ID #41414QCTaaS (Quality Cloud Teaching as a Service): An Immersive Frameworkfor Teaching Cloud Computing for Cybersecurity MajorsDr. Mahmoud K Quweider, The University of Texas Rio Grande Valley M K Quweider is a Professor of Computer and Cybersecurity Sciences at the U. of Texas at UTRGV. He received his Ph.D. in Engineering Science (Multimedia and Imaging Specialty) and B.S. In Electrical Engineering, M.S. in Applied Mathematics, M.S. in Engineering Science, and M.S. in Biomedical Engineering all from the University of Toledo, Ohio. He also holds a Bachelor/Master of English and a Master of Business Administration

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Portable Laboratory for Electrical Engineering Education: The LAB-VEE Ecosystem Developed in Latin America and the Caribbean

Conference Session: COED: Spotlight on Diverse Learners
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Reymi Then, Universidad Tecnológica de Santiago; Maria Mercedes Larrondo-Petrie, Florida Atlantic University
Tagged Divisions: Computers in Education Division (COED)

Paper ID #38138Portable Laboratory for Electrical Engineering Education: The LAB-VEEEcosystem Developed in Latin America and the CaribbeanIng. Reymi Then, Universidad Tecnol´ gica de Santiago o A young professional passionate about research, technologies and their teaching. From a very early age, he presented a high interest and understanding of engineering, starting studies and technical work in electronics in 2002. In 2004 he began to study electronic engineering at the Technological University of Santiago (UTESA) and in 2019 he coursed a master’s degree in Mathematics at his Alma Mater

Relevance Score: 0.70756304

ThermoVR: Using Virtual Reality and Playful Simulation to Teach and Assess Introductory Thermodynamics Concepts

Conference Session: Simulations and Virtual Learning
Collection: 2024 ASEE Annual Conference & Exposition
Authors: David J Gagnon, Field Day Lab @ UW-Madison; John M. Pfotenhauer, University of Wisconsin, Madison; Arganthael Berson, University of Wisconsin, Madison; Luke Swanson, University of Wisconsin, Madison
Tagged Divisions: Computers in Education Division (COED)

Paper ID #41043ThermoVR: Using Virtual Reality and Playful Simulation to Teach and AssessIntroductory Thermodynamics ConceptsDavid J Gagnon, Field Day Lab @ UW-Madison David J. Gagnon is the research director of Field Day Laboratory at the University of Wisconsin - Madison. Field Day produces and researches educational video games that have won numerous awards (Serious Play, Meaningful Play, Public Media Awards,ASEE, and others) and are used by over a million students yearly in grades 4-20, across a diversity of subjects, from engineering to underwater archeology. Field Day is the organization behind Open Game Data, a

Relevance Score: 0.6948934

Constructing Reconfigurable and Affordable Robotic Arm Platform to Teach Robotics and Automation

Conference Session: Robotics and Circuits
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Carl Joseph Murzynski, Pennsylvania State University, Behrend College; Hussein - Abdeltawab, Wake Forest University; Omar Ashour, Pennsylvania State University, Behrend College; Ahmed Sammoud, Pennsylvania State University, Behrend College
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

technologies, and process improvement. He contributed to research directed to improve design and engineering education.Ahmed Sammoud, Pennsylvania State University, Behrend College Ahmed Sammoud is a Computer Science and Software Engineering faculty at Pennsylvania State University, The Behrend College. Ahmed is an avid computer scientist and engineer interested in reconfigurable computing, operating systems, video processing, Machine Learning, and Real-Time systems. ©American Society for Engineering Education, 2024Constructing Reconfigurable and Affordable Robotic Arm Platform to Teach AutomationAbstractSince its announcement in 2011, the concepts of Industry 4.0 (I4.0) have

Relevance Score: 0.6745734

WIP: AI-based Sentiment Analysis and Grader Enhancements

Conference Session: Teaching with ML and Generative AI
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Bobby F Hodgkinson, University of Colorado Boulder; Nathan Eric Whittenburg, University of Colorado Boulder
Tagged Divisions: Computers in Education Division (COED)

Paper ID #42183WIP: AI-based Sentiment Analysis and Grader EnhancementsMr. Bobby F Hodgkinson, University of Colorado Boulder Bobby Hodgkinson is an Associate Teaching Professor in the Smead Aerospace Engineering Sciences Department (AES) and co-manages the educational electronics and instrumentation shop. He assists students and researchers in the department for sensor and data acquisition needs as well as manages several lab courses and experiments. He is a member of the Professional Advisory Board for the senior capstone projects course. Prior to joining Smead Aerospace department in 2012, he was the lab manager at

Relevance Score: 0.6561802

Integrating ChatGPT in an Introductory Engineering Undergraduate Course as a Tool for Feedback

Conference Session: Teaching with ML and Generative AI
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Anthony Cortez, Point Loma Nazarene University; Paul Daniel Schmelzenbach, Point Loma Nazarene University
Tagged Divisions: Computers in Education Division (COED)

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

Relevance Score: 0.6539409

BOARD #105A: Work in Progress: Combining Python and Simulation to Offer Easy Visualization in Early Years Teaching

Conference Session: Computers in Education Division (COED) Poster Session (Track 1.A)
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Susannah Cooke, ANSYS, Inc.; Kaitlin Tyler, ANSYS, Inc.
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

Paper ID #47781BOARD #476: Work in Progress: Combining Python and Simulation to OfferEasy Visualization in Early Years TeachingDr. Susannah Cooke, ANSYS, Inc. Susannah Cooke is a Senior Product Manager at Ansys, managing Ansys Academic software. She works with universities to ensure that Ansys tools can be deployed to best effect in teaching and research. She holds an MEng and DPhil in Mechanical Engineering from the University of Oxford, where her doctoral thesis focused on fluid flow around tidal turbine arrays. She is excited by the overlap between industry engineering and pedagogical practices, especially where these

Relevance Score: 0.5421301

KarmaCollab: A Communication Platform For Collaborative Learning

Conference Session: COED Modulus Topics
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Damitu Robinson, University of California, Davis; Nicholas Hosein; Andre Knoesen, University of California, Davis; Akash Kashyap
Tagged Divisions: Computers in Education Division (COED)

, and as a result, experienced significant hurdles with the remote learning switch. In this paper, the impact of an internally developed smartphone application called KarmaCollab is evaluated alongside the incorporation of socialized teaching and course gamification. We will look at UC Davis Electrical and Computer Engineering laboratory courses and the impact KarmaCollab had on the online course format. The relationships between course grades, KarmaCollab app engagement, student self-reported sentiment via an end-of-quarter survey, and teaching staff interviews are presented to showcase interesting remote learning insights. Introduction The COVID-19

Relevance Score: 0.030764814

Immersive Virtual Labs for Enhancing In-Person and Online Education

Conference Session: Simulations and Virtual Learning
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Yiyang Li, Old Dominion University; Yuzhong Shen, Old Dominion University; Charles I Sukenik, Old Dominion University
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

work in this area andconcludes the paper.2. BackgroundIn the latter part of 1995, Old Dominion University's Department of Physics started adopting amore uniform method for teaching undergraduate laboratory courses. Following this change, in1996, the department released the first edition of a comprehensive laboratory manual forundergraduates. This marked a significant shift in the instructional methodology forundergraduate physics at ODU. The development of virtual laboratories is set to enhance thisteaching approach further. With the integration of pre-arranged educational materials, includingvirtual labs, educators will be able to adhere to uniform teaching standards. This uniformity willensure that students receive a consistent and coherent

Relevance Score: 0.029568352

The Combination Approach: Increasing Student Learning and Understanding of Introductory Computer Science Topics

Conference Session: COED Programming Education 1: Students, Motivation, and Mastery
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Thomas Rossi, Penn State Behrend; Paul C. Lynch, Penn State Behrend
Tagged Divisions: Computers in Education Division (COED)

thetopic being discussed that week. For example, if a student is learning about loops in lecture, theycould be asked to write a program using loops to generate a multiplication table during the labperiod. Hazzan et al assert this allows students to be engaged in their learning rather than abystander similar to what you might see in laboratories for the natural sciences [2].Prior engineering education research has clearly shown that inductive teaching styles in lecturesand lab sessions show the students the importance and application of the subject matter byshowing the students particular examples while challenging them to keep building concept byconcept to solve complex challenges [3] [4]. These inductive teaching methods typically use ascaffolded

Relevance Score: 0.026664712

Assessment of the Utilization of Open Educational Resources during and after the Pandemic

Conference Session: COED: Online and Remote Learning
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Janardhanan Gangathulasi, National Institute of Technical Teachers Training and Research, Chennai, India; Shanmuganeethi Velu, P.E.; P. Malliga; Dinesh Kumar K.S.A.
Tagged Divisions: Computers in Education Division (COED)

Paper ID #39142Assessment of the Utilization of Open Educational Resources during andafter the PandemicDr. Janardhanan Gangathulasi, National Institute of Technical Teachers Training and Research, Chennai,India Dr. Janardhanan Gangathulasi is Professor of Civil and Environmental Engineering and Head of Centre for Academic Studies and Research at the National Institute of Technical Teachers Training and Research Chennai. Dr. Janardhanan has over 20 years of research, teaching and consulting experience within the broad fields of civil, environmental engineering and engineering education. His research expertise includes

Relevance Score: 0.020590898

BOARD # 63: AI Chatbot for Enhancing Troubleshooting in Engineering Labs

Conference Session: Computers in Education Division (COED) Poster Session (Track 1.A)
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Marshall Ismail, Worcester Polytechnic Institute; Devin Kachadoorian, Worcester Polytechnic Institute; Sahil Mirani, Worcester Polytechnic Institute; D. Matthew Boyer, Clemson University; Tim Ransom, Clemson University; Ahmet Can Sabuncu, Worcester Polytechnic Institute
Tagged Divisions: Computers in Education Division (COED)

adaptability [1]. In these settings, students frequentlyturn to teaching assistants (TAs) for assistance with lab procedures, equipment setup, andtroubleshooting. This dynamic creates a dependency that, while helpful in the moment, can leadto challenges for both students and TAs. The repetitive nature of these inquiries significantlyburdens TAs, who usually cannot answer everyone’s questions throughout the laboratory classtimes. Furthermore, certain student questions need consistent answers that the lead instructorproves correct. Another challenge is establishing a structured support diagnostic meant to answerstudent problems in a way that guides students to their answers rather than revealing themimmediately. This allows students to engage in

Relevance Score: 0.020304225

Vertical lab Integration with myCobot Robotic Arms

Conference Session: Computers in Education Division (COED) Track 4.D
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Nebojsa I Jaksic P.E., Colorado State University Pueblo
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

work.Previous Work Practical laboratory experiences including engineering labs and projects represent essentialelements of learning [1], [2]. As part of intensive laboratory experiences, robots have had alongstanding positive impact on education of students at all levels. Small, wheeled, programablemobile robots like LEGO Mindstorm series have been used as motivational tools to attract studentsto STEM fields in general [3], as well as to help students (and teachers) learn how to program [4]- [6]. However, at the practical level of industrial robot programming, the use of industrialmanipulators for teaching programming robotic tasks was often the only option. Expensivehardware, proprietary software, and required safety measures made programming of

Relevance Score: 0.019967053

Graphics Library to Aid Student Learning of Object-Oriented Programming

Conference Session: COED Programming Education 2: Instructional Approaches
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Thomas Rossi, Penn State Erie; Mackenzie Sloan; Ryan Joseph Pape
Tagged Divisions: Computers in Education Division (COED)

and Y. C. Cheng, "Teaching Object-Oriented Programming Laboratory With Computer Game Programming," IEEE Transactions on Education, vol. 50, no. 3, pp. 197- 203, 2007.[6] python.org, "turtle — Turtle graphics," [Online]. Available: https://docs.python.org/3/library/turtle.html. [Accessed 30 December 2022].[7] E. Engheim, "Why Should You Program with Julia?," Manning Free Content Center, 6 May 2022. [Online]. Available: https://freecontent.manning.com/why-should-you-program-with- julia/. [Accessed 30 December 2022].[8] Apache Maven Project, "Introduction," Apache Maven Project, 1 January 2023. [Online]. Available: https://maven.apache.org/what-is-maven.html. [Accessed 1 January 2023].[9] M. Kimberlin, "Reducing Boilerplate

Relevance Score: 0.01975587

The Role of Artificial Intelligence in Advancing Student Success: Perspectives from Three Land Grant Institutions

Conference Session: Computers in Education Division (COED) Track 2.A
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Jason M. Keith, Iowa State University of Science and Technology; Jason Coleman, Kansas State University; Lis Pankl, Mississippi State University
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

a growth in academic integrityfilings since the advent of ChatGPT. In fact, [2] points to a Stanford University survey where1/6th of students said they had used ChatGPT on assignments or exams. This article [2] alsopoints towards the issues of hallucinations, where AI focuses on generating text that sounds goodbut may not be scientifically accurate. However, [1] also points to potential efficiencies andutility of AI in higher education, such as teaching ethical use of AI, growth of tutoring/teachingassistants and for operational efficiencies. Auon [3] discussed the impact of AI on the humanexperience in physical (personalized medicine/drug delivery and disease identification),cognitive (increased workplace productivity, focused effort on

Relevance Score: 0.019081272

A Hybrid Pedagogy through Topical Guide Objective to Enhance Student Learning in MIPS Instruction Set Design

Conference Session: Computer Engineering Topics
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Timothy Sellers, Mississippi State University; Tingjun Lei, Mississippi State University; Chaomin Luo, Mississippi State University; Gene Eu Jan; Zhuming Bi, Purdue University, Fort Wayne
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

], which introducessome active programming teaching methods. Portela employed four approaches to develop theinstructional plan, namely: BYOD, flipped classroom, gamification, and using the skills ofindividual students to solve posed problems. Tewolde presented a method for improving studentmotivation in a microcontroller-based embedded systems course to enhance students’ role inactive learning [10]. The method consists of three tools, namely: laboratory assignments forpractical hands-on activities, “peer teaching” techniques, and self-proposal, which enablesindividual creativity. For some complex and difficult to understand courses such as programmingalgorithms-related subjects, Garcia et al. [11] proposed a method in the form of

Relevance Score: 0.019052938

Literature Review of Using AI Tools to Enhance Engineering Students’ Proficiency of Professional Skills

Conference Session: Computers in Education Division (COED) Track 6.D
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Shana Shaw, Texas A&M University; L. Taylor Starr, Texas A&M University; laila badran, Texas A&M University
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

sequential coursework, especially until the senior year. The use of AI to help solve engineering problems as a collaboration tool is being used inengineering classrooms at increased frequency, hence the motivation of this paper to look at theuse of AI in developing professional skills in engineering undergraduate education. Using AI asprompts to help students draft papers or laboratory reports is starting to emerge in undergraduateengineering programs, although using AI to teach or enhance professional skills seems to be anew area of research [5]. One paper found that the typical use and extent of using generative AIin engineering classes based on student surveys [6] and the general impact of AI incommunication skills training has been

Relevance Score: 0.01872405

Board 48: Perceptions of ChatGPT on Engineering Education: A 2022-2023 Exploratory Literature Review

Conference Session: Computers in Education Division (COED) Poster Session
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Trini Balart, Texas A&M University; Kristi J. Shryock, Texas A&M University
Tagged Divisions: Computers in Education Division (COED)

thecapability for explaining complex concepts or subjects, creation of code, fixing errors in existingcode, mathematical problem solving, the ideation and planning of laboratory experiences, amongothers [6]. On the other hand, the importance in engineering of creativity, critical thinking, andthe ability to solve complex problems, presents an opportunity to maximize the potential of thistool and explore new ways to use it.Impact on Assignments The emergence of ChatGPT introduces several profound implications for engineeringeducation, reshaping traditional teaching methods and prompting a reevaluation of assessmentstrategies. Traditional assignments that have always been done in engineering education, such asstandardized tests and multi-answer

Relevance Score: 0.01844957

BOARD # 94: WIP: Shaping the Future of Learning: The rAIder Strategy for Applied AI-Driven Education at MSOE

Conference Session: Computers in Education Division (COED) Poster Session (Track 1.A)
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Nadya Shalamova, Milwaukee School of Engineering; Olga Imas, Milwaukee School of Engineering; James Lembke; Maria Pares-Toral, Milwaukee School of Engineering; Derek David Riley, Milwaukee School of Engineering; Daniel Bergen, Milwaukee School of Engineering
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

Paper ID #46417BOARD # 94: WIP: Shaping the Future of Learning: The rAIder Strategyfor Applied AI-Driven Education at MSOEDr. Nadya Shalamova, Milwaukee School of Engineering Nadya Shalamova is an Assistant Professor and the Director of the Technical Communication Program at the Milwaukee School of Engineering. Her research interests include interdisciplinary collaboration in engineering, science, and technical communication.Dr. Olga Imas, Milwaukee School of Engineering Olga Imas, Ph.D., is a professor of biomedical engineering at the Milwaukee School of Engineering, where she teaches a variety of courses in biomedical

Relevance Score: 0.018143771

Board 60: Work in Progress: Student Perspectives of Collaborative Learning Techniques (CoLT) in Introductory Computing Classes

Conference Session: Computers in Education Division (COED) Poster Session
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Lisa Cullington, Sacred Heart University; Mary V Villani, Farmingdale State College, SUNY, New York; Nur Dean, Farmingdale State College, SUNY, New York; Moaath Alrajab, Farmingdale State College, SUNY, New York; Arthur Hoskey, Farmingdale State College SUNY, New York; Ilknur Aydin, Farmingdale State College, SUNY, New York
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

computational thinking skills. Another line of research was the development of a simulated operating system, SimpleOS, that allowed students to run basic programs and visually see the state of the simulated memory, registers, and process queues in order to facilitate student learning. Dr. Hoskey has also collaborated with the Farmingdale State College Center for Applied Mathematics and Brookhaven National Laboratory on an undergraduate research program in the area of Signal Analysis. Dr. Hoskey received the 2017 Chancellor’s Award for Excellence in Teaching from the State University of New York.Dr. Ilknur Aydin, Farmingdale State College, SUNY, New York Ilknur Aydin is an Associate Professor of Computer Systems at

Relevance Score: 0.017522234

BOARD # 91: WIP: Exploring Stakeholder Perspectives on the Integration of AI: Challenges and Opportunities at a University in Chile

Conference Session: Computers in Education Division (COED) Poster Session (Track 1.A)
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Maria Elena Truyol, Universidad Andres Bello, Santiago, Chile; Monica Quezada-Espinoza, Universidad Andres Bello, Santiago, Chile; Genaro Zavala, Tecnologico de Monterrey, Monterrey, Mexico; Universidad Andres Bello, Santiago, Chile; Claudia Bascur, Universidad Andres Bello, Santiago, Chile
Tagged Topics: Diversity
Tagged Divisions: Computers in Education Division (COED)

solving, instructional material design, teacher training, and gender studies. She teaches undergraduate courses in environmental management, energy, and the fundamentals of industrial processes at the School of Engineering, UNAB. She currently coordinates the Educational and Academic Innovation Unit at the School of Engineering (UNAB). She is engaged in continuing teacher training in active learning methodologies at the three campuses of the School of Engineering (Concepci´on, Vi˜na del Mar, and Santiago, Chile). She authored several manuscripts in the science education area, joined several research projects, participated in international conferences with oral presentations and keynote lectures, and served as a referee

Relevance Score: 0.017466234

Innovative Next-Generation Virtual Reality-based Immersive Approaches for Learning Engineering Concepts

Conference Session: Simulations and Virtual Learning
Collection: 2024 ASEE Annual Conference & Exposition
Authors: J Cecil, Oklahoma State University
Tagged Divisions: Computers in Education Division (COED)

Laboratories,Los Alamos National Laboratory and the Mozilla Foundation.REFERENCES [1] Forcael, E., Glagola, C., and González, V. (2012). ”Incorporation of Computer Simulations into Teaching Linear Scheduling Techniques.” J. Prof. Issues Eng. Educ. Pract., 138(1), 21–30 [2] Adams, W.K., Reid, S., LeMaster, R., McKagan, S.B., Perkins, K.K., Dubson, M., and Wieman. C.E. (2008a). A study of educational simulations part I—Engagement and learning. Journal of Interactive Learning Research, 19(3), 397-419.[3] Adams, W.K., Reid, S., LeMaster, R., McKagan, S.B., Perkins, K.K., Dubson, M., and Wieman, C.E. (2008b). A study of educational simulations part II—Interface design. Journal of Interactive Learning

Relevance Score: 0.01657933

Challenges and Opportunities: A Systematic Review of AI Tools in Engineering Education

Conference Session: Computers in Education Division (COED) Track 4.B
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Marlee Jacobs, Utah State University; Daniel Kane, Utah State University; Rosemary Yahne, Utah State University; Wade H Goodridge, Utah State University
Tagged Divisions: Computers in Education Division (COED)

includes discovering how AIaffects students after they enter industry. The impact of AI on engineering students’ knowledgeof technical material taught in engineering education also continues to remain unknown. Alongitudinal study following students throughout their education and into industry could answersome of the unknowns about how AI impacts students as they enter industry.References[1] A. M. F. Yousef, A. M. A. El-Haleem, and M. M. Elmesalawy, “Determining Critical SuccessFactors for an Online Laboratory Learning System Using Delphi Method,” in 2022 InternationalConference on Intelligent Education and Intelligent Research (IEIR), Wuhan, China: IEEE, Dec.2022, pp. 86–93. doi: 10.1109/IEIR56323.2022.10050041.[2] E. Liao, “Research on Teaching

Relevance Score: 0.016347831

A Comparison of Students’ Academic Achievement and Perceptions in Hyflex and Non-Hyflex Engineering Courses

Conference Session: COED: Student Perspectives of Instructional and Advising Approaches
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Jessica Ohanian Perez, California State Polytechnic University, Pomona; Juliana Lynn Fuqua, California State Polytechnic University, Pomona; Faye Linda Wachs, California State Polytechnic University, Pomona; Paul Morrow Nissenson, California State Polytechnic University, Pomona; Brooke Jones; Jeffrey A. Phillips; Harmony Nguyen, The Pennsylvania State University
Tagged Divisions: Computers in Education Division (COED)

Paper ID #37174A Comparison of Students’ Academic Achievement and Perceptions in Hyflexand Non-Hyflex Engineering CoursesDr. Jessica Ohanian Perez, California State Polytechnic University, Pomona Jessica Ohanian Perez is an assistant professor in Electromechanical Engineering Technology at Califor- nia State Polytechnic University, Pomona with a focus on STEM pedagogy. Jessica earned her doctorate in education, teaching, learning and culture from Claremont Graduate UniversityProf. Juliana Lynn Fuqua, California State Polytechnic University, Pomona Juliana Fuqua, Ph.D., is an Associate Professor in the Department of Psychology

Relevance Score: 0.016143374

Student Preference of Video Length for Studying Machine Learning in a Flipped Classroom

Conference Session: COED: Student Perspectives of Instructional and Advising Approaches
Collection: 2023 ASEE Annual Conference & Exposition
Authors: Ahmed Dallal, University of Pittsburgh
Tagged Divisions: Computers in Education Division (COED)

partially flipped ECE laboratory classes,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2020, vol. 2020-June.[9] A. Dallal, “Students performance in remote flipped signals classes,” in ASEE Annual Conference & Exposition, 2021.[10] B. Morin, K. M. Kecskemety, K. A. Harper, and P. A. Clingan, “The inverted classroom in a first-year engineering course,” in the 120th American Society of Engineering Education Annual Conference & Exposition, Atlanta, GA, 2013.[11] F. Reyneke and L. Fletcher, “The impact of an inverted traditional teaching model on first level statistics students,” in Ninth International Conference on Teaching Statistics, 2014.[12] C. P. Talley, “The Enhanced Flipped Classroom