Conference Session

Computers in Education Division (COED) Track 6.D

Collection

2025 ASEE Annual Conference & Exposition

Authors

Bahar Memarian, Arizona State University ; Shawn S. Jordan, Arizona State University

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Computers in Education Division (COED)

Paper ID #47133A Review of the State of Integrated Engineering Frameworks and OutcomeDimensionsDr. Bahar Memarian, Arizona State University Bahar Memarian is a researcher and educator with more than 10 years of experience at the intersection of applied and social sciences. Her research and teaching interests are in the areas of Engineering Education (Engineering Design, Use of Technology, Problem-solving, Outcomes Assessment, Experiential Learning, and Creativity) and Human Factors Engineering (Artificial Intelligence in Education, Human-centered Systems, and Cognitive-Systems Engineering).Dr. Shawn S. Jordan, Arizona

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jiping Li, University of Toronto; Zhiqiang Yin, University of Toronto; Hamid S Timorabadi P.Eng., University of Toronto

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Computers in Education Division (COED)

Paper ID #42251Board 44: CampNav: A System for Inside Buildings and Campus NavigationMr. Jiping Li, University of Toronto Jiping Li is an ECE undergraduate at the University of Toronto.Zhiqiang Yin, University of TorontoDr. Hamid S Timorabadi P.Eng., University of Toronto Hamid Timorabadi received his B.Sc, M.A.Sc, and Ph.D. degrees in Electrical Engineering from the University of Toronto. He has worked as a project, design, and test engineer as well as a consultant to industry. His research interests include the applicati ©American Society for Engineering Education, 2024 Work In Progress: CampNav: A

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sweni Shah; Hamid S Timorabadi P.Eng., University of Toronto; Sanjana Dasadia; Samreen Khatib Syed; Doaa Muhammad, University of Toronto

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Computers in Education Division (COED)

Paper ID #41872Board 47: A Mentor-Mentee Matching Algorithm to Automate Process ofFinding an Ideal Mentor for StudentsMs. Sweni ShahDr. Hamid S Timorabadi P.Eng., University of Toronto Hamid Timorabadi received his B.Sc, M.A.Sc, and Ph.D. degrees in Electrical Engineering from the University of Toronto. He has worked as a project, design, and test engineer as well as a consultant to industry. His research interests include the applicatiSanjana DasadiaSamreen Khatib SyedDoaa Muhammad, University of Toronto ©American Society for Engineering Education, 2024 Work In Progress: MentorMate: A Platform to

Conference Session

Computers in Education Division (COED) Track 4.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Safia Malallah, Kansas State University; Ejiro U Osiobe; Lior Shamir, Kansas State University; David S. Allen, Kansas State University

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Diversity

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Computers in Education Division (COED)

Osiobe .Lior Shamir, Kansas State University Associate professor of computer science at Kansas State University.Dr. David S. Allen, Kansas State University David is an Associate Professor in the Department of Curriculum and Instruction at Kansas State University and the Director of the Center for STEAM Education. His work involves professional development for K-12 schools in STEAM related areas, and he is currently focused on on-line programing development in mathematics and computer science education. ©American Society for Engineering Education, 2025 Designing a Virtual World Experience to Foster Computational Thinking in Young Learners: An Hour of Code Initiative

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Yixin Zhang, University of Toronto; Hanzhang Xing; Yaqi Zhang, University of Toronto; Xinyan Du, University of Toronto; Hamid S Timorabadi P.Eng., University of Toronto

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Computers in Education Division (COED)

JavaScript.Dr. Hamid S Timorabadi P.Eng., University of Toronto Hamid Timorabadi received his B.Sc, M.A.Sc, and Ph.D. degrees in Electrical Engineering from the University of Toronto. He has worked as a project, design, and test engineer as well as a consultant to industry. His research interests include the applicati ©American Society for Engineering Education, 2024 WIP: Immersive Learning: Maximizing Computer Networks Education Based on 3D Interactive AnimationsAbstractThe potential of 3D animation models can enhance the learning process, making it morevivid and clear by capturing students' attentions. As concepts related to computer networksare often abstract and intricate, educators commonly

Conference Session

Computers in Education Division (COED) Track 5.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Russell Feldhausen, Kansas State University; Nathan H Bean, Kansas State University; Joshua Levi Weese, Kansas State University; David S. Allen, Kansas State University

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Diversity

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Computers in Education Division (COED)

several outreach programs for K-12 impacting well more than 4,000 students.Dr. David S. Allen, Kansas State University David is an Associate Professor in the Department of Curriculum and Instruction at Kansas State University and the Director of the Center for STEAM Education. His work involves professional development for K-12 schools in STEAM related areas, and he is currently focused on on-line programing development in mathematics and computer science education. ©American Society for Engineering Education, 2025 Examining Rural Identity Among High School Computer Science Students Abstract Students in geographically rural

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Muhammed Yakubu, University of Toronto; Jasnoor Guliani, University of Toronto; Nipun Shukla, University of Toronto; Dylan O'Toole; Hamid S Timorabadi P.Eng., University of Toronto

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Computers in Education Division (COED)

Paper ID #46477BOARD #101: Work In Progress: Enhancing Active Recall and Spaced Repetitionwith LLM-Augmented Review SystemsMr. Muhammed Yakubu, University of Toronto Final year Computer Engineering Student at the University of TorontoMr. Jasnoor Guliani, University of TorontoMr. Nipun Shukla, University of Toronto Final year student at the University of Toronto.Dylan O’TooleDr. Hamid S Timorabadi P.Eng., University of Toronto Hamid Timorabadi received his B.Sc, M.A.Sc, and Ph.D. degrees in Electrical Engineering from the University of Toronto. He has worked as a project, design, and test engineer as well as a consultant to

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Shirley Qin, University of Toronto; Jiawei Tian, University of Toronto; Yuqi Yang; Qian Guo, University of Toronto; Junhao Liao, University of Toronto; Hamid S. Timorabadi, University of Toronto

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Computers in Education Division (COED)

interested in software programming and User Experience designs. He is proficient with C, C++ and Python and familiar with JavaScript, PSQL, Intel FPGA Verilog and ARM Assembly(ARMv7-A). Personal Website: https://junhao.caDr. Hamid S. Timorabadi, University of Toronto Hamid Timorabadi received his B.Sc, M.A.Sc, and Ph.D. degrees in Electrical Engineering from the University of Toronto. He has worked as a project, design, and test engineer as well as a consultant to industry. His research interests include the applicati ©American Society for Engineering Education, 2023 WIP - A Face Recognition Application to Improve In-Person LearningAbstractA face recognition application that enables instructors

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Yu Sheng Pan, University of Toronto; Aniruddha Redkar, University of Toronto; Sowrov Talukder, University of Toronto; Parth Sindhu, University of Toronto; Hamid S. Timorabadi, University of Toronto

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Computers in Education Division (COED)

, University of Toronto Sowrov Talukder is a Computer Engineering student at the University of Toronto helping to improve programming labs in education.Mr. Parth Sindhu, University of TorontoDr. Hamid S. Timorabadi, University of Toronto Hamid Timorabadi received his B.Sc, M.A.Sc, and Ph.D. degrees in Electrical Engineering from the University of Toronto. He has worked as a project, design, and test engineer as well as a consultant to industry. His research interests include the applicati ©American Society for Engineering Education, 2023 WIP: Lab Container: An environment to manage a student’s time to complete programming labs while providing effective

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Samuel Opeyemi Falade, Texas A&M University; Kristi J. Shryock, Texas A&M University; Michael S Rugh, Texas A&M University; Andre Thomas, Texas A&M University

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Computers in Education Division (COED)

. She also serves as Director of the Craig and Galen Brown Engineering Honors Program. She received her BS, MS, and PhD from the College of Engineering at Texas A&M. Kristi works to improve the undergraduate engineering experience through evaluating preparation in areas, such as mathematics and physics, evaluating engineering identity and its impact on retention, incorporating non-traditional teaching methods into the classroom, and engaging her students with interactive methods.Dr. Michael S Rugh, Texas A&M University Michael S. Rugh is an Associate Research Scientist for the LIVE Lab at Texas A&M University. He has a B.S. and M.S. in Mathematics and a PhD in Curriculum and Instruction. He received the

Conference Session

Computers in Education Division (COED) Track 5.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sita Vaibhavi Gunturi, Pennsylvania State University, Harrisburg, The Capital College; Jeremy Joseph Blum, Pennsylvania State University, Harrisburg, The Capital College; Tyler S. Love, University of Maryland Eastern Shore

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Computers in Education Division (COED)

Computational Sciences, both from the George Washington University, as well as a B.A. in Economics from Washington University. His research interests include computer science education and transportation safety.Dr. Tyler S. Love, University of Maryland Eastern Shore Dr. Love is Professor and Director of Career and Technology Education Studies for the University of Maryland Eastern Shore (UMES) at the Baltimore Museum of Industry. He is also the Coordinator for Technology and Engineering (T&E) education. Dr. Love earned his master’s and Ph.D. in Integrative STEM Education from Virginia Tech. His bachelors degree is in Technology Education from UMES. He previously taught T&E courses in Maryland’s Public School System

Conference Session

Computers in Education Division (COED) Track 5.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Nathan H Bean, Kansas State University; Joshua Levi Weese, Kansas State University; Russell Feldhausen, Kansas State University; Michelle Friend, University of Nebraska - Omaha; Friday Emmanuel James, Kansas State University; David S. Allen, Kansas State University

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Computers in Education Division (COED)

in Statistics/Computer Science from University of Agriculture, Makurdi - Nigeria. He got a Master’s degree in Statistics and a Master’s degree in Computer Science from University of Ilorin - Nigeria and Kansas State University - Kansas USA in 2015 and 2021 respectively. His research interest cuts across the use of machine learning and data science in Computing Science Education to improve teaching and learning.Dr. David S. Allen, Kansas State University David is an Associate Professor in the Department of Curriculum and Instruction at Kansas State University and the Director of the Center for STEAM Education. His work involves professional development for K-12 schools in STEAM related areas, and he is currently

Conference Session

Computers in Education Division (COED) Track 5.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Friday Emmanuel James, Kansas State University; Joshua Levi Weese, Kansas State University; Nathan H Bean, Kansas State University; Russell Feldhausen, Kansas State University; Michelle Friend, University of Nebraska - Omaha; Robert Stewart, Kansas State University; Carrie Grace Aponte; David S. Allen, Kansas State University

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Diversity

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Computers in Education Division (COED)

at Kansas State University. Her research interests include Data Science and Computer Science Education.David S. Allen, Kansas State University ©American Society for Engineering Education, 2025 Expanding Computer Science Education in Rural Areas: Impact of Teacher Training on Teachers’ Identity, Commitment, Confidence and Competence Abstract The lack of computer science education in rural areas presents unique challenges in the current pursuit of achieving equitable access to computer science education. The growing recognition of the need for computer science education highlights the necessity of

Conference Session

Computers in Education Division (COED) Track 6.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Yiqing Li, University of California, San Diego; Jiaen Yu, University of California, San Diego; U Lam Lou, University of California, San Diego; Dingyi Yu, University of California, San Diego; Michael Levin, Utah State University; Korena S Klimczak, Utah State University; Soohyun Nam Liao, University of California, San Diego

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Computers in Education Division (COED)

developing, evaluating, and disseminating digital interventions based on acceptance and commitment therapy (ACT) for a wide range of problem areas including college mental health, obsessive-compulsive related disorders, coping with chronic health conditions, and health promotion.Korena S Klimczak, Utah State University Korena Klimczak is a PhD candidate in Clinical and Counseling Psychology at Utah State University and a predoctoral intern at the Rochester Institute of Technology. Her research focuses on the clinical use of technology to support behavior change, with a background in Acceptance and Commitment Therapy based digital mental health interventions. She is interested in understanding how user engagement with

Conference Session

Computers in Education Division (COED) Track 3.D

Collection

2025 ASEE Annual Conference & Exposition

Authors

Friday Emmanuel James, Kansas State University; Joshua Levi Weese, Kansas State University; Russell Feldhausen, Kansas State University; Nathan H Bean, Kansas State University; Michelle Friend, University of Nebraska - Omaha; David S. Allen, Kansas State University

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Diversity

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Computers in Education Division (COED)

Nebraska - Omaha Dr. Michelle Friend is an Associate Professor in the Teacher Education Department at the University of Nebraska at Omaha. She teaches CS teaching methods and research methods. Her research focuses on equity in computer science and interdisciplinary connections between computer science and other subjects. She received her Ph.D. from Stanford University in Learning Science and Technology Design, and previously taught middle school computer science.Dr. David S. Allen, Kansas State University David is an Associate Professor in the Department of Curriculum and Instruction at Kansas State University and the Director of the Center for STEAM Education. His work involves professional development for K-12

Conference Session

Computers in Education Division (COED) Track 5.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jina Wilde, The University of Texas at San Antonio; Michael Zawatski, The University of Texas at San Antonio; Darean Wilde, The University of Texas at San Antonio; Emiliano Beltran, The University of Texas at San Antonio; Amanda S. Fernandez, The University of Texas at San Antonio; Timothy Yuen, The University of Texas at San Antonio

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Diversity

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Computers in Education Division (COED)

University of Texas at San Antonio Student researcher interested in how the delivery of professional development can impact a teacher’s ability to influence students to pursue STEM (and more specifically, CS-related) degrees.Dr. Amanda S. Fernandez, The University of Texas at San Antonio Amanda S. Fernandez an Assistant Professor of Computer Science at the University of Texas at San Antonio.Dr. Timothy Yuen, The University of Texas at San Antonio Timothy T. Yuen is the Associate Dean for Undergraduate Studies in the College of Sciences at the University of Texas at San Antonio. ©American Society for Engineering Education, 2025 Computer Science Professional Development for Middle and

Conference Session

Computers in Education Division (COED) Track 2.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Tammy Mackenzie, The Aula Fellowship; Lisa D. McNair, Virginia Tech; Rubaina Khan, University of Toronto; Animesh Paul, University of Georgia; Sreyoshi Bhaduri, Private Corporation

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Diversity

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Computers in Education Division (COED)

elements of engineeringeducation. The development of an easy-to-use rubric built on the da Vinci Cube frame-work will facilitate the systematic analysis of GenAI innovations, enabling researchers andpractitioners to better understand and navigate the complex interplay between drivers ofinnovation in engineering education, including knowledge, use, and sentiment.References [1] L. Chen, P. Chen, and Z. Lin, “Artificial intelligence in education: A review,” Ieee Access, vol. 8, pp. 75 264–75 278, 2020. [2] T. K. Chiu, Q. Xia, X. Zhou, C. S. Chai, and M. Cheng, “Systematic literature re- view on opportunities, challenges, and future research recommendations of artificial intelligence in education,” Computers and Education: Artificial

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Peter Jamieson, Miami University; Ricardo Ferreira, Universidade Federal de Viçosa; José Nacif, Universidade Federal de Viçosa

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Computers in Education Division (COED)

Google Colab. Using claude.ai [18] the response is: Response - Claude 3.5 This Python script: 1 import svgwrite 2 from I P y t h o n . d i s p l a y i m p o r t d i s p l a y , HTML 3 import ipywidgets as widgets 4 from I P y t h o n . d i s p l a y i m p o r t c l e a r o u t p u t 5 c l a s s DFlipFlop : 6 def init ( self ) : 7 s e l f . s t a t e = 0 # Output Q 8 self . prev clock = 0 910 def update ( s e l f , clock , data ) :11 # U p d a t e s t a t e on r i s i n g e d g e o f c l o c k12 i f c l o c k == 1 and s e l f . p r e v c l o c k == 0 :13 s e l f . s t a t e = data14

Conference Session

Computers in Education Division (COED) Track 2.D

Collection

2025 ASEE Annual Conference & Exposition

Authors

Maryam Khalid Multani, University of Florida; Laura Melissa Cruz Castro, University of Florida

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Computers in Education Division (COED)

intelligence (AI) powered conversational educational agents: The inevitable paradigm shift,” Asian Journal of Distance Education, vol. 18, no. 1, Art. no. 1, Mar. 2023, Accessed: Jan. 15, 2025. [Online]. Available: https://www.asianjde.com/ojs/index.php/AsianJDE/article/view/718[2] B. Khosrawi-Rad et al., “Conversational agents in education–a systematic literature review,” 2022.[3] M. D. Koretsky and A. J. Magana, “Using Technology to Enhance Learning and Engagement in Engineering,” Advances in Engineering Education, 2019, Accessed: Jan. 15, 2025. [Online]. Available: https://eric.ed.gov/?id=EJ1220296[4] S. H. Tanvir and G. J. Kim, “WIP: Generative and Custom Chatbots in Computer Programming Education and their Effectiveness A

Conference Session

Computers in Education Division (COED) Track 6.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Laura Albrant, Michigan Technological University; Michelle E Jarvie-Eggart P.E., Michigan Technological University; Leo C. Ureel II, Michigan Technological University

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Computers in Education Division (COED)

= c o m p u t e D e r i v a t i v e ( func , x , h ) 3 % Computes t h e n u m e r i c a l d e r i v a t i v e o f f u n c a t x 4 % u s i n g a c e n t r a l d i f f e r e n c e method . 5 % func : Function handle . 6 % x : P o i n t a t which t o compute t h e d e r i v a t i v e . 7 % h : Step s i z e . 8 d e r i v a t i v e = ( func ( x + h ) − func ( x − h ) ) / (2 * h ) ; 9 end1011 % Example u s a g e :12 f = @( x ) s i n ( x ) ;13 x v a l = p i / 4 ;14 s t e p s i z e = 0 . 0 0 1 ;15 d e r i v v a l = c o m p u t e D e r i v a t i v e ( f , x v a l , s t e p s i z e ) ;16 d i s p ( [ ” D e r i v a t i v e a t x = ” num2str ( x v a l ) ” : ” num2str ( d e r i v v a l ) ] ) ;1718 f 2 = @( t ) t . ˆ 2 ;19 t v a l = 2 ;20

Conference Session

COED: Computing in K-12 / Early Childhood Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Safia Malallah, Kansas State University; Joshua Levi Weese, Kansas State University; Khaled Nasser Alsalmi, The Public Authority for Applied Education and Training

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Computers in Education Division (COED)

students.Limitations and Future WorkThe frameworks must be validated through qualitative research, and the work should beexpanded to include integration pathways.AcknowledgementThis work was funded by the National Science Foundation (NSF) with Grant No DRLGEGI008182. However, the authors alone are responsible for the opinions expressed in thiswork and do not reflect the views of the NSF.References[1] B. Vittrup, S. Snider, K. K. Rose, and J. Rippy, "Parental perceptions of the role of media and technology in their young children’s lives," Journal of Early Childhood Research, vol. 14, no. 1, pp. 43-54, 2016.[2] A. Sullivan, M. Bers, and A. Pugnali, "The impact of user interface on young children’s computational thinking," Journal of Information

Conference Session

Computers in Education Division (COED) Track 4.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Madison Melton, University of North Carolina at Charlotte; Mohsen M Dorodchi, University of North Carolina at Charlotte

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Computers in Education Division (COED)

, with the goal of reducing teachers’ workload and enhancing instructional strategies.Dr. Mohsen M Dorodchi, University of North Carolina at Charlotte Dr. Dorodchi has been teaching in the field of computing for over 35 years of which 25 years as an educator. He has taught the majority of the courses in the computer science and engineering curriculum over the past 25 years such as introductory programming, data structures, databases, software engineering, system programming, etc. He has been involved in a number of National Science Foundation supported grant projects including Scholarship for STEM students (S-STEM), Researcher Practitioner Partnership (RPP), IUSE, and EAGER. ©American

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

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Computers in Education Division (COED)

et al.(2024), Shorey et al. (2024), and Hsu & Silalahi (2024) to name a few, with the focus broadlyon ChatGPT, bots, and their societal effects without specific ties to education or laboratorycontexts.Considerable amount of literature aligns more closely with educational applications from theeducators’ perspective. Du et al. (2024), explore using NLP and large language models(LLMs) to automatically evaluate student project reports. Similarly, Caccavale et al. (2024) intheir article towards education 4.0, investigate the potential of LLMs as virtual tutors inchemical engineering. Tate et al. (2024)’s study examines the extent to which AI providesholistic essay scoring, while White et al. (2023) research focuses on assessing

Conference Session

The Best of Computers in Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Yiqiu Zhou, University of Illinois, Urbana-Champaign ; Qianhui Liu, University of Illinois, Urbana-Champaign ; Sophia Yang, University of Illinois, Urbana-Champaign ; Abdussalam Alawini, University of Illinois, Urbana-Champaign

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Computers in Education Division (COED)

design their class.Among the multiple ways to reveal collaborative problem-solving processes, temporal submissionpatterns is one that is more scalable and generalizable in Computer Science education. In thispaper, we provide a temporal analysis of a large dataset of students’ submissions to collaborativelearning assignments in an upper-level database course offered at a large public university. Thelog data was collected from an online assessment and learning system, containing the timestampsof each student’s submissions to a problem on the collaborative assignment. Each submission waslabeled as quick (Q), medium (M), or slow (S) based on its duration and whether it was shorter orlonger than the 25th and 75th percentile. Sequential compacting and

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ryan L. Solnosky P.E., Pennsylvania State University; Rebecca Napolitano; Wesley F. Reinhart, Pennsylvania State University

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Computers in Education Division (COED)

) creating examples and projectsis one delivery mechanism but there could be a steep learning curve student will encounter [27], 6) currentdemands from larger employers who may not all use these techniques, and lastly [28]; 7) Creating newtracks is possible but requires new resources and faculty to teach them. Given these benefits and challenges,many engineering students are still often pushed to take computer science course(s) to compensate for theirlack of in-department offerings. This research looks to help overcome several aspects of these barriers inthe discipline specific domains of architectural engineering (AE) and material science and engineering(MATSE). Both fields were selected given their renewed emphasis and need for more data skills as

Conference Session

Computers in Education Division (COED) Track 3.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Xiangqun Zhang, Syracuse University; Ziyang Jiao, Syracuse University; Farzana Rahman, Syracuse University; Bryan Kim, Syracuse University

Tagged Divisions

Computers in Education Division (COED)

education. She holds a Ph.D in computer science and specializes in a broad area of pervasive health technologies, and computer science education.Prof. Bryan Kim, Syracuse University Bryan S. Kim is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Syracuse University. His research interests center around building performant, reliable, and scalable memory and storage systems for data-intensive applications using emerging hardware technologies. His work has appeared in top computer systems venues such as FAST, ATC, OSDI, and EuroSys, and his research is supported through various projects, including the NSF CAREER award. ©American Society for Engineering

Conference Session

ML and Generative AI Tools and Policies

Collection

2024 ASEE Annual Conference & Exposition

Authors

Alyson G. Eggleston, Pennsylvania State University; Robert J. Rabb P.E., Pennsylvania State University

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Computers in Education Division (COED)

credibility of the subject matter before wider dissemination andimplementation.References[1] M. H. Temsah, I. Altamimi, A. Jamal, K. Alhasan, & A. Al-Eyadhy, ChatGPT surpasses 1000 publications on PubMed: envisioning the road ahead. Cureus, 15(9) 2023.[2] G. Conroy, Surge in number of extremely productive authors’ concerns scientists. Nature, 625(7993), 14-15. 2024.[3] R. Van Noorden and J. M. Perkel, AI and science: what 1,600 researchers think. Nature, 621(7980), 672-675, 2023.[4] M. Binz, S. Alaniz, A. Roskies, B. Aczel, C. T. Bergstrom, C. Allen, C. and E. Schulz, How should the advent of large language models affect the practice of science?. arXiv preprint arXiv:2312.03759, 2023.[5] E. M. Bender, T. Gebru, A. McMillan-Major, S

Conference Session

Computers in Education Division (COED) Track 5.D

Collection

2025 ASEE Annual Conference & Exposition

Authors

Zhou Zhang, SUNY Farmingdale State College; Wenhai Li, Farmingdale State College; Khosro Shirvani, State University of New York, College of Technology at Farmingdale; Yue Hung, Farmingdale State College; Yizhe Chang, California State Polytechnic University, Pomona; Sven K. Esche, Stevens Institute of Technology (School of Engineering and Science)

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Computers in Education Division (COED)

, Germany, and was awarded M.S. and Ph.D. ©American Society for Engineering Education, 2025 2025 ASEE Annual Conference Montreal, Quebec, Canada, June 22 - 25, 2025 Zhang, Z., Li., W., Shirvani, K., Chang., Y., Hung, Y., Y., Esche, S. K. Flipped Classroom and Collaborative Learning in Tool Design Education for Mechanical Engineering Technology Zhou Zhang, Wenhai Li, Khosro Shirvani, Yizhe Chang, Yue Hung, Sven K. EscheAbstractTraditional Tool Design courses often rely on passive lectures and individual assignments, whichcan limit engagement and creativity, particularly for Mechanical

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

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Computers in Education Division (COED)

," Cogent Education, vol. 11, no. 1, 2024. doi: 10.1080/2331186X.2024.2309738.[3] C. R. Mann, A Study of Engineering Education. New York, NY, USA: The Carnegie Foundation for the Advancement of Teaching, 1918.[4] S. M. Vidalis and R. Subramanian, "Impact of AI tools on engineering education," in 2023 Fall Mid Atlantic Conference: Meeting Our Students Where They Are and Getting Them Where They Need to Be, Oct. 2023. doi: 10.18260/1-2--45122.[5] L. Agrawal, P. Lanjewar, S. Deshpande, P. Jawarkar, V. Gaur, and A. Dive, "The impact of AI on communication skills training: Opportunity skills and challenges," Nanotechnology Perceptions, pp. 1167-1173, 2024. doi: 10.62441/nano-ntp.v20iS7.96.[6] M. Itani and I. Srour, "Engineering students

Conference Session

Computers in Education Division (COED) Track 6.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Gabriel Beal, zyBooks, A Wiley Brand; Chi Yan Daniel Leung, zyBooks, A Wiley Brand; Joe Mazzone, zyBooks, A Wiley Brand; Chelsea L Gordon, zyBooks, A Wiley Brand; Yamuna Rajasekhar, zyBooks, A Wiley Brand

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Computers in Education Division (COED)

or‬ ‭warrant additional investigation.‬‭ he feature highlights the following metrics, identifying students who deviate‬T‭significantly from the class average as outliers worth investigation:‬ -‭ ‬ S ‭ ubmissions: Number of student submissions made to the autograder.‬ ‭-‬ ‭Explore runs: Number of code runs as students develop their code.‬ ‭-‬ ‭Time‬ ‭spent:‬ ‭Total‬ ‭time‬ ‭spent‬ ‭by‬ ‭the‬ ‭student‬ ‭in‬ ‭the‬ ‭lab.‬ ‭The‬ ‭interquartile‬ ‭range method is used to identify upper and lower time spent outliers.‬ ‭-‬ ‭Pasted code: The percentage of pasted characters input from when the lab‬ ‭was first opened to now. This gives instructors an idea of how much code‬ ‭was pasted