Conference Session

Computers in Education Division (COED) Track 4.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Julian Ly Davis, University of Southern Indiana; Bradley Lane Kicklighter P.E., University of Southern Indiana

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Diversity

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Computers in Education Division (COED)

Paper ID #46284Tips and Tricks on Using LaTeX for Creating Teaching Materials—PerspectivesFrom Two Engineering FacultyDr. Julian Ly Davis, University of Southern Indiana Jul Davis is an Associate Professor of Engineering at the University of Southern Indiana in Evansville, Indiana. He received his PhD in 2007 from Virginia Tech in Engineering Mechanics where he studied the vestibular organs in the inner ear using finite element models and vibration analyses. After graduating, he spent a semester teaching at a local community college and then two years at University of Massachusetts (Amherst) studying the biomechanics of

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Thomas Rossi, University of New Haven; Pulin Agrawal, Pennsylvania State University; Negein Immen, Pennsylvania State University; Angelina Krystal Valentin, Pennsylvania State University; Neha Sagi, Pennsylvania State University; Domenico Alford-Egizio, Pennsylvania State University

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Diversity

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Computers in Education Division (COED)

Paper ID #42206Board #447: Enhancing Lecture Material with Conceptual Videos: A SupplementaryLearning ExperienceMr. Thomas Rossi, University of New Haven Thomas Rossi is a senior lecturer in Computer Science at the University of New Haven in the department of Electrical and Computer Engineering and Computer Science. His research focuses on improving the post-secondary experience for students through the use of current computing tools and technologies. Thomas graduated with his MS in Computer Science from the University of New Hampshire in 2016. He has previously worked at the Rochester Institute of Technology and at Penn State

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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Diversity

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Computers in Education Division (COED)

interdisciplinary topics involving Mechanical Engineering, Electrical Engineering, and Computer Science.Wenhai Li, Farmingdale State College Assistant Professor in Department of Mechanical Engineering Technology, Farmingdale State College, Farmingdale, NY 11735Dr. Khosro Shirvani, State University of New York, College of Technology at Farmingdale Khosro Shirvani, Ph.D. is an assistant professor in the Mechanical Engineering Technology at Farmingdale State University (FSU). His research areas include surface engineering, heat management in manufacturing processes, fabrication, and characterizationDr. Yue Hung, Farmingdale State College Dr. Yue (Jeff) Hung holds degrees in engineering and technology disciplines (Ph.D. in Materials

Conference Session

The Best of Computers in Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Shameel Abdulla, Texas A&M University, Qatar; Yasser M. Al Hamidi, Texas A&M University, Qatar; Marwan Khraisheh, Texas A&M University, Qatar

Tagged Divisions

Computers in Education Division (COED)

, 2023 Creating and implementing a custom chatbot in engineering education Shameel Abdullah, Yasser-Al Hamidi, and Marwan Khraisheh Mechanical Engineering Program, Texas A and M University at QatarAbstractThis paper investigates the development and use of a chatbot in an engineering curriculum. Thechatbot helps students find course materials, answer general inquiries, schedule meetings withprofessors and teaching assistants, and much more. Students require assistance during their timeat university. College life is stressful, and tasks such as keeping track of deadlines, schedulingmeetings, and finding resources become daunting as the semester progresses. The constant emailexchanges about general course

Conference Session

The Best of Computers in Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Andrew Rukangu, University of Georgia; John Ray Morelock, University of Georgia; Kyle Johnsen, University of Georgia

Tagged Divisions

Computers in Education Division (COED)

work shows that AR/VR might be sufficient in replacing tangible experiments (Franzluebbers et al., 2021; Knierim et al., 2020). In contrast, other works do not point to that success (Peeters et al., 2023). This mixed outlook brings out the need to further explore the suitability of AR/VR in education, particularly for labs with substantial moving mechanical components, such as industrial robotics. Furthermore, applying intervention strategies during the earlier years of engineering school has been shown to increase student retention (Krause et al., 2015) and student success (Peuker and Schauss, 2015). In this work, we aim to introduce early-year students to a complex topic- robot programming - to motivate them while studying the suitability of

Conference Session

COED: Student Perspectives of Instructional and Advising Approaches

Collection

2023 ASEE Annual Conference & Exposition

Authors

Mahbub K. Ahmed, P.E., Southern Arkansas University; Kendra J. Ahmed, Southern Arkansas University

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Computers in Education Division (COED)

Paper ID #40274Effectiveness of a Web-Based Advising Tool for an Engineering Program:Students’ PerspectivesDr. Mahbub K. Ahmed, P.E., Southern Arkansas University Dr. Mahbub Ahmed is an Associate Professor of Engineering at Southern Arkansas University (SAU). He received his PhD in Materials Science and Engineering with a focus on Mechanical Engineering from the University of Texas at El Paso in 2008. Currently, he holds a PE license in Mechanical Engineering in the state of Arkansas. Dr. Ahmed has been a faculty member in the Engineering Program at SAU since August 2012 and is actively involved in teaching, research, and

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

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Computers in Education Division (COED)

-HyFlex section. Various factors were considered inthe analysis of HyFlex: Student success, engagement, social-emotional experiences of bothstudents and faculty, and access to materials particularly for vulnerable and underservedstudents.2. About the engineering coursesThe engineering courses that participated were "Mechanical Engineering (ME) 4150: HeatTransfer" in Fall 2021, and "Civil Engineering (CE) 3211: Water Resource Engineering" and"Engineering Technology ETM 3301: Instrumentation and Controls" in Spring 2022. ETM 3301was a lecture and lab combination, and the lab was a corequisite taken at a different time of theday or week. ME 4150 and CE 3211 were lecture courses with no lab component.Due to the sequencing of classes designed by

Conference Session

COED: Student Perspectives of Instructional and Advising Approaches

Collection

2023 ASEE Annual Conference & Exposition

Authors

Sunay Palsole, Texas A&M University

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Diversity

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Computers in Education Division (COED)

student engagement, critical thinking and learning. A SAGE white paper.[4] Kelly, R. (2022). Report: Top Uses of Video in Teaching and Learning. Campus Technology.Retrieved from Report: Top Uses of Video in Teaching and Learning -- Campus Technology[5] Birdwell, J.A. & Peshkin, M. (2015). Capturing technical lectures on light board. 122ndASEE Annual Conference and Exposition. Seattle, WA., June 14-17, 2015.[6] Ganbat, D. & Naidandorj, R. (2018). Experiences of using ICT for teaching courses of“Mechanics of Materials.” Proceedings of the ISCSET-2018 Workshop, Novosibirsk, Russia,August 12-18, 2018. 11-18.[7] Kamat, A., & Yari, N. (2019, April). Methods for teaching statics. In 2019 ASEE Zone IConference & Workshop.[8] Lubrick, M

Conference Session

COED: Grading Systems

Collection

2023 ASEE Annual Conference & Exposition

Authors

Keith Hekman, California Baptist University

Tagged Divisions

Computers in Education Division (COED)

acquisition. LabVIEW instruction follows National Instruments LabVIEW Core 1 [7] andCore 2 [8] course material. The class is required for Electrical and Computing Engineeringmajors, and some Mechanical Engineering Majors take the class as a technical elective. Studentsfirst used the grading program in the Fall semester of 2020 in a class of 18 Students. Based onconversations with the students during the semester, I modified the grading program to give themfull credit if they scored at least a 95% on the assignment. This way, students were not spendingextra time trying to fix minor errors since the goal of the automated grading was to have thestudents work through the tutorials. Students continued to use the grading program in 2021 (27Students) and

Conference Session

Computers in Education Division (COED) Best of CoED Paper Session (Track 1.B)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Kwansun Cho, University of Florida; Sung Je Bang, Texas A&M University; Syeda Fizza Ali, Texas A&M University; Asefeh Kardgar, Texas A&M University; Saira Anwar, Texas A&M University

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Computers in Education Division (COED)

outcomes. However, prior literature also notes some issues with such methods,such as passive attention and limited hands-on experience. Considering these issues, a newinstructional mechanism, sequential live coding, was developed and utilized in a large R1university for engineering programming (C++ and Python) courses. Our prior work suggestedsequential live coding positively affected students' learning and perceptions of learningprogramming. However, its impact on students' non-cognitive factors, particularly engagement,is unexplored. Considering the importance of academic engagement for students' deeperunderstanding of course material, this paper examines the effect of sequential live coding onacademic engagement. More specifically, the paper

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)

: (1) Water quality analysis; (2) Lake front development and remediation (3) Development of MOOCs; (4) Accreditation, academic quality framework and academic auditing; (5) Learning Spaces – Blended approach; (6) Active and experiential learning; (7) Sustainable Development and Education; (8) Urban Environment Management and Smart city; (9) solid and hazardous waste management and landfill engineering; and (10) life cycle assessment and sustainable construction materials. His research and train- ing programme is funded by the ITEC, DST, World Bank, MEA, MoE, PWD and several prominent state governments and industries. Dr. Jana published around 50 research articles in international and national journals and conferences

Conference Session

Computers in Education Division (COED) Best of CoED Paper Session (Track 1.B)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jesan Ahammed Ovi, Colorado School of Mines; Gabriel Tomas Fierro, Colorado School of Mines; C. Estelle Smith, Colorado School of Mines

Tagged Divisions

Computers in Education Division (COED)

interdisciplinary learning [12], idea generation, writing, coding, learning, andimproving task efficiency [13, 9]. Some research focused on LLM performance for commonengineering problems such as solving simultaneous equations [14], completing programmingproblems of various difficulties [15], and completing mechanical engineering assignments [16].LLMs can perform well at many of these tasks, although they sometimes propagate incorrectsolutions, misinformation, or out-of-scope information [15, 16]. Overall, these studies highlighthow students can readily utilize LLMs for a variety of use cases in academic work.Since GenAI is readily amenable to student use cases, prior work offers initial strategies forintegrating GenAI in engineering education. Students

Conference Session

Computers in Education Division (COED) Track 3.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Yuxuan Chen, University of Illinois Urbana-Champaign; Chenyan Zhao, University of Illinois Urbana-Champaign; Kangyu Feng, University of Illinois Urbana-Champaign; Mattox Alan Beckman, University of Illinois Urbana-Champaign; Mariana Silva, University of Illinois Urbana-Champaign

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Computers in Education Division (COED)

educational quality. Before joining CS@Illinois in 2017, she was a lecturer in the Department of Mechanical Science and Engineering at the same university for five years. Silva has extensive experience in course development across engineering, computer science, and mathematics and is passionate about advancing teaching innovations that benefit students and instructors alike. She is an expert in the development and application of computer-based tools for teaching and learning in large STEM university courses. Her current research investigates the use of educational technologies to enhance computer-based assessments and centralized computer-based testing centers. This includes leveraging Large Language Models (LLMs) for

Conference Session

Computers in Education Division (COED) Track 3.D

Collection

2025 ASEE Annual Conference & Exposition

Authors

Keith Hekman, California Baptist University

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Diversity

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Computers in Education Division (COED)

physics,” JOURNAL OF RESEARCH IN SCIENCE TEACHING, vol. 40, no. 10, pp. 1050-1071, 2003.[7] H. G. Cooke and M. A. Al Faruque, “Impact of Mastering Engineering on Student Learning and Perceptions in a Strength of Materials Course,” in 2017 ASEE Annual Conference & Exposition, Columbus, Ohio, 2017.[8] R. O’Neill,, A. Badir, L. D. Nguyen and D. J. Lura, “Homework Methods in Engineering Mechanics, Part Two,” in 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana, 2016.[9] K. Hekman, “Automated Grading of First Year Student CAD Work,” in 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia, 2013.[10] K. Hekman and M. Gordon, “Automated Grading of First Year Student CAD Work,” Computers in Education

Conference Session

ML and Generative AI Tools and Policies

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jason M. Keith, Mississippi State University; Amin Amirlatifi, Mississippi State University; Shahram Rahimi; Subash Neupane, Mississippi State University; Sudip Mittal

Tagged Divisions

Computers in Education Division (COED)

the ethical use of AI. Additionally, faculty hiring trends in STEMfields have brought in faculty who have access to and experience in using “toolboxes” such as AI,machine learning, data science and cybersecurity to enhance their research. Furthermore, to helpcontextualize academic research needs at comprehensive institutions, many university libraries areadding faculty positions with specific aims including data science, copyright / intellectual property;virtual / extended reality and AI / emerging technologies to support research in critical areas suchas autonomy, advanced materials, big data, cultural geography, linguistics, discovery and digitalhumanities.Aside from formulation of the algorithms behind LLM’s [1], a great deal of dialogue

Conference Session

Computers in Education Division (COED) Track 2.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sean P Brophy, Purdue University at West Lafayette (COE); Fadhla Binti Junus, Purdue Engineering Education

Tagged Divisions

Computers in Education Division (COED)

Paper ID #48290Analyzing Feedback of an AI tool for formative feedback of Technical WritingabilitiesDr. Sean P Brophy, Purdue University at West Lafayette (COE) Dr. Sean Brophy is a learning scientist, computer scientists and mechanical engineering who design learning environments enhances with technology. His recent research in engineering design focuses on students’ development of computational thinking through physical computing. His work involves students’ design of smart systems that integrate both hardware and software to achieve a client’s needs. In this work students communicate their ideas through proposal

Conference Session

Computers in Education Division (COED) Track 2.D

Collection

2025 ASEE Annual Conference & Exposition

Authors

Edward F. Gehringer, North Carolina State University at Raleigh; Madhur Dixit, North Carolina State University at Raleigh; Kavya Lalbahadur Joshi

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Diversity

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Computers in Education Division (COED)

-written.Respondents thought that detailed reflections might indicate LLM-generated text. Six times thiscaused the respondents to infer LLM generation, but they were correct only three out of those sixtimes. Short and concise reflections led respondents to believe they were human-written in fourcases, but in all of these cases, they were mistaken.In situations where reflections covered material beyond what students were expected to know,respondents correctly identified AI-written reflections two out of three times. Once when materialnot covered in class was included in a reflection, they incorrectly assumed that it was AI-generatedrather than student-submitted. This exception suggests that the student who submitted it eitherstudied independently or utilized

Conference Session

COED: AI and ML Topics

Collection

2023 ASEE Annual Conference & Exposition

Authors

Jonathan Adam Niemirowski, Louisiana Tech University; Krystal Corbett Cruse, Louisiana Tech University; David Hall, Louisiana Tech University

Tagged Divisions

Computers in Education Division (COED)

, 122), and various electives in machine learning for engineering students (ENGR 489). His doctoral research is on incorporating ma- chine learning topics into the engineering curriculum, providing a foundation for engineers to utilize the technology in their work fields, and developing a framework to assist other educators in expanding ML content in their courses.Ms. Krystal Corbett Cruse, Louisiana Tech University Dr. Krystal Corbett is the First-Year Engineering Programs Coordinator and Assistant Professor in the Mechanical Engineering Department at Louisiana Tech University. She is also the Co-Director of the Office for Women in Science and Engineering at Louisiana Tech.Dr. David Hall, Louisiana Tech University

Conference Session

ML and Generative AI Tools and Policies

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sofia M Vidalis, Pennsylvania State University; Rajarajan Subramanian, Pennsylvania State University; Fazil T. Najafi, University of Florida

Tagged Divisions

Computers in Education Division (COED)

Polytechnic Institute and State University, Blacksburg, Virginia; his experience in industry and government includes work as a Highway Engineer, Construction Engineer, Structural, Mechanical, and Consultant Engineer. Dr. Najafi taught at Villanova University, Pennsylvania, and was a visiting professor at George Mason University and a professor at the University of Florida, Department of Civil and Coastal Engineering. He has received numerous awards, such as Fulbright scholarship, teaching awards, best paper awards, community service awards, and admission as an Eminent Engineer into Tau Beta Pi. The Florida Legislature adopted his research on passive radon-resistant new residential building construction in the HB1647

Conference Session

Computers in Education Division (COED) Track 2.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Mahmoud K Quweider, The University of Texas Rio Grande Valley; Liyu Zhang, University of Texas Rio Grande Valley; Jorge Castillo, The University of Texas Rio Grande Valley; Ala Qubbaj, The University of Texas Rio Grande Valley

Tagged Divisions

Computers in Education Division (COED)

Machine Learning Modules [6]. This paper explores how machine learning modules can be integrated into mechanical engineering core courses rather than having dedicated data science courses. • A Cloud-Based Approach to Introducing Machine Learning in Project-Based Learning Environments [7]. This paper details the material, technical efforts, and student learning outcomes from a renovated machine-learning curriculum. • Learning from Machine Learning and Teaching with Machine Teaching [8]. This paper identifies how innovations in AI can enhance the quality of collegiate classroom experiences and improve student performance. • A Survey on Curriculum Learning by Xin Wang et al [9]. This paper

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

Tagged Divisions

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 4.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Pradeep Radhakrishnan, Worcester Polytechnic Institute; David C Brown, Worcester Polytechnic Institute

Tagged Divisions

Computers in Education Division (COED)

Paper ID #47139Improving Features and User Experience of a Web-based Linkage AnalysisTool through User StudiesProf. Pradeep Radhakrishnan, Worcester Polytechnic Institute Dr. Pradeep Radhakrishnan is an Associate Professor of Teaching in Mechanical Engineering and Robotics Engineering at Worcester Polytechnic Institute. Dr. Radhakrishnan teaches fundamental courses in mechanics and design at the undergraduate level.David C Brown, Worcester Polytechnic Institute David Brown is a Professor Emeritus in the Computer Science Department of Worcester Polytechnic Institute. He specializes in Human Computer Interaction and the uses of

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Zifeng Liu, University of Florida; Yukyeong Song, University of Florida; Qimao Yang, University of Florida; Wanli Xing, University of Florida; Jing Guo, University of Florida

Tagged Divisions

Computers in Education Division (COED)

exploring students’feedback on the lab. The results demonstrated significant improvements in students’ quantumcomputing knowledge (p < .001), medium-to-high engagement and perceived usability scores(M = 3.90, SD = 1.06), and no significant changes in attitude. This study introduces aninnovative learning tool for undergraduate quantum computing education and provides empiricalevidence supporting the effectiveness of the tool in enhancing QC learning.1 IntroductionQuantum computing (QC), or Quantum Information Science and Technology (QIST), is anemerging field grounded in the principles of quantum mechanics, offering the potential torevolutionize industries by addressing complex problems far more efficiently than classicalcomputers [1]. Over the

Conference Session

COED: AI and ML Topics

Collection

2023 ASEE Annual Conference & Exposition

Authors

Nebojsa I. Jaksic, Colorado State University, Pueblo; Bahaa Ansaf, Colorado State University, Pueblo

Tagged Divisions

Computers in Education Division (COED)

University. From 2014 to 2016, he has been a Visiting Professor with the Mechanical and Aerospace Engineering Department, University of Missouri. Currently, he is As- sociate Professor with the Engineering Department, Colorado State University-Pueblo. He is the author of two book chapters, more than 73 articles. His research interests include artificial intelligence systems and applications, smart material applications, robotics motion, and planning. Also, He is a member of ASME, ASEE, and ASME-ABET PEV. ©American Society for Engineering Education, 2023 Analysis of Artificial Intelligence Edge Computing Devices for Undergraduate Computer Science and Engineering LabsAbstract

Conference Session

Computer-Supported Pedagogy and Assessment

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jim Sosnowski, University of Illinois Urbana-Champaign; Julie M Baker, University of Illinois Urbana-Champaign; Olivia Arnold, University of Illinois Urbana-Champaign; Mariana Silva, University of Illinois Urbana-Champaign; David Mussulman, University of Illinois Urbana-Champaign; Craig Zilles, University of Illinois Urbana-Champaign; Matthew West, University of Illinois Urbana-Champaign

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Diversity

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Computers in Education Division (COED)

serves as the main liaison from the college to the CBTF.Olivia Arnold, University of Illinois Urbana-ChampaignProf. Mariana Silva, University of Illinois Urbana-Champaign Mariana Silva is a Teaching Associate Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. Silva is known for her teaching innovations and educational studies in large-scale assessments and collaborative learning. She has participated in two major overhauls of large courses in the College of Engineering: she played a key role in the re-structure of the three Mechanics courses in the Mechanical Science and Engineering Department, and the creation of the new computational-based linear algebra course, which

Conference Session

Programming Education 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kwansun Cho, University of Florida; Syeda Fizza Ali, Texas A&M University; Sung Je Bang, Texas A&M University; Saira Anwar, Texas A&M University

Tagged Divisions

Computers in Education Division (COED)

mechanisms that provide hands-on experienceshave been proposed. One commonly used mechanism has been dynamic live coding.Although live coding by instructors is an invaluable source of learning, it has certaindisadvantages, such as passive attention and limited hands-on experience. Keeping theessence of live coding, we examine the impact of a newly introduced “Sequential LiveCoding” strategy on students’ performance. “Sequential Live Coding” differs from traditionallive coding in four main aspects: 1) multiple students are selected for each program codingsession, 2) live coding is done by the students, where they take turns to complete theprogram, 3) the students explain their work to the class, and 4) instructor uses the backwardlecture style (the

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ibukun Samuel Osunbunmi, Pennsylvania State University; Stephanie Cutler, Pennsylvania State University; Viyon Dansu, Florida International University; Yashin Brijmohan, University of Nebraska, Lincoln; Bolaji Ruth Bamidele, Utah State University; Abasiafak Ndifreke Udosen, Purdue University, West Lafayette; Lexy Chiwete Arinze, Purdue University, West Lafayette; Adurangba Victor Oje, University of Georgia; Deborah Moyaki, University of Georgia; Melissa J Hicks, Pennsylvania State University; Bono Po-Jen Shih, Pennsylvania State University

Tagged Topics

Diversity

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Computers in Education Division (COED)

education, sustainable energy, and material characterization.Dr. Stephanie Cutler, Pennsylvania State University Dr. Stephanie Cutler has degrees in Mechanical Engineering, Industrial and Systems Engineering, and a PhD in Engineering Education from Virginia Tech. She is an Associate Research Professor and the Director of Assessment and Instructional Support in the Leonhard Center at Penn State.Mr. Viyon Dansu, Florida International University I had my BSc and MSc in Systems Engineering at the University of Lagos Nigeria. I co-founded STEM-Ed Africa, a social enterprise involved in developing student’s problem-solving abilities in STEM. I am currently an engineering education graduate researchMr. Yashin Brijmohan, University

Conference Session

COED: Cybersecurity Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Mahmoud K. Quweider, The University of Texas, Rio Grande Valley; Liyu Zhang, The University of Texas, Rio Grande Valley; Hansheng Lei

Tagged Divisions

Computers in Education Division (COED)

, backup and restore operations, and disaster recovery tasks. • Troubleshooting: Troubleshoot capacity, automation, connectivity, and security issues related to cloud implementations.Certification and Course Integration Methodologies:With the set of certifications decided, we set out to identify the course(s) that are best to integratethe certification skill set in. In this paper, we present our methodologies as they apply to theNetwork+, which we used as the pilot project. We will report and disseminate results for othercertifications as they are completed.Course Material RevampingWith most of the faculty in the new Cyber Security Program coming from Computer Sciencebackground, it was imperative that we revamp the current course

Conference Session

COED Programming Education 2: Instructional Approaches

Collection

2023 ASEE Annual Conference & Exposition

Authors

Sarah Rajkumari Jayasekaran, University of Florida; Umer Farooq; Saira Anwar, Texas A&M University

Tagged Divisions

Computers in Education Division (COED)

that doing extra credit assignmentsincreased students' interest and engagement in the course. However, the measure of outside-classengagement was not wholly correlated with course performance. Another similar study by Ennisand colleagues [17] utilized extra credit pop quizzes to enhance participation and students'performance in an English course at an Italian university [24]. Results highlighted that extracredits increased students' interest and participation in English courses.In an exemplary study, Shepard et al.[16] examined the use of extra credits in a mechanicalengineering fluid mechanics course to measure its impact on students' performance[16].Although the instructor did not mention the extra credits at the start of the course

Conference Session

Simulations and Virtual Learning

Collection

2024 ASEE Annual Conference & Exposition

Authors

David M. Feinauer P.E., Virginia Military Institute; James C. Squire P.E., Virginia Military Institute; Gerald Sullivan, Virginia Military Institute

Tagged Divisions

Computers in Education Division (COED)

was selected as Virginia’s Rising Star professor. He is a licensed Professional Engineer in Massachusetts and Virginia and maintains an active consulting practice.Prof. Gerald Sullivan, Virginia Military Institute Dr. Gerald Sullivan, Professor of Mechanical Engineering at the Virginia Military Institute, received his B.S.M.E. from the University of Vermont and his Ph.D. from Rensselaer Polytechnic Institute. He has held teaching positions at the University of Michigan-Dearborn and the University of Vermont, before joining the faculty of the Virginia Military Institute in 2004. His interests include mechanical design, mechatronics, engineering pedagogy and STEAM based education