Conference Session

COED: Computing in K-12 / Early Childhood Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Safia A. Malallah, Kansas State University; Lior Shamir, Kansas State University; William Henry Hsu, Kansas State University; Joshua Levi Weese, Kansas State University; Salah Alfailakawi, Kansas State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

, including children in early childhood education, must be consistentlyexposed to data science concepts to meet future industry requirements [1, 2]. Students wholearn data science at a young age are better equipped to implement the concepts at later stageswhere they will have more chances to practice and develop their skills [3]. However, currentdata science research for early childhood is very limited, and although previous data scienceframeworks for K–12 education have claimed that the content is suitable for kindergarteners,application has proven that, in reality, the content is more appropriate for students in grade 4and beyond [4]. Therefore, this paper proposes a data science framework suitable for the developmentalstages of young

Conference Session

COED: Computing in K-12 / Early Childhood Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Safia Malallah, Kansas State University; Lior Shamir, Kansas State University; William Henry Hsu, Kansas State University; Joshua Levi Weese, Kansas State University; Salah Alfailakawi, Kansas State University

Tagged Divisions

Computers in Education Division (COED)

engineeringthrough a series of cartoons and hands-on activities to reach low-income families and theirchildren ages 4 to 5. It is supported by the National Science Foundation. The program isdesigned to be engaging and interactive by teaching children about concepts such as abstraction,algorithmic thinking, pattern recognition, problem deconstruction, design process, debuggingprocess, and logical reasoning [27]. Another important area of focus is Integrated-CT-organization developed pathways toinclude CT in grades K–12 through other non-STEM disciplines. It includes some data scienceelements such as data practice and data analysis [20]. Donna Kotsopoulos proposed that“unplugged, tinkering, making, and remixing are effective pedagogical experiences to

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

Tagged Divisions

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

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

Conference Session

Simulations and Virtual Learning

Collection

2024 ASEE Annual Conference & Exposition

Authors

MEHMET Nasir SARIMURAT, Syracuse University

Tagged Divisions

Computers in Education Division (COED)

contrast to the experiences ofindustry professionals, who often acquire their skills outside of formal classroom settings. Thissuggests that active learning approaches, which engage students beyond passive informationconsumption, can foster valuable skill development even without direct classroom instruction 4 .Supporting this view, a study by Adair et al. 5 found that a significant majority (73%) of CFDstudents preferred learning through tutorials, lab activities, or collaborative group work, comparedto only 11% who favored traditional lectures. These findings highlight the need for a shift towardsmore active learning approaches in CFD education.This paper introduces a novel undergraduate CFD course specifically designed to overcome thischallenge

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Gerry A Pedraza, Texas A&M University; Sunay Palsole, Texas A&M University

Tagged Divisions

Computers in Education Division (COED)

Using Generative AI for Reducing Faculty Workload in Online Engineering CoursesAbstractWIP. The demand for high-quality online engineering courses and credentials is surging, drivenby the upskilling and reskilling needs of industry partners and engineers with 8-10 years ofexperience. Creating accessible, top-tier online courses requires producing exceptional videos,transcripts, and content segmented appropriately for optimal student learning [1]. Beyond lecturepreparation, faculty are often tasked with creating well-designed slides and assessments toengage students and measure learning. Despite the support of instructional designers in manyinstitutions, this multifaceted process presents a significant challenge for

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)

] noted three preconceptions that non-CS majors carried into courses with ML content.First, students do not understand the importance of learning ML to prepare them for their careers.Second, many students are exposed to ML through popular media channels; these sensationalizedaccounts of ML need to be addressed. Finally, most students believe that their math andprogramming skills are insufficient to implement ML. However, Sulmont notes that the perceptionof lacking skills tends to be a greater barrier than the lack of skills themselves.Lao [8] explored methods to provide ML education to end-users, recognizing that ML tools areincreasing accessibility to the technology. Lao noted three audiences of ML education: high-endtechnical users, general

Conference Session

COED Modulus Topics

Collection

2023 ASEE Annual Conference & Exposition

Authors

Martha Cervantes, Johns Hopkins University ; Raphael Norman-Tenazas; Adam Goertz; Erik C. Johnson, University of Illinois, Urbana-Champaign; William Roberts Gray-Roncal

Tagged Divisions

Computers in Education Division (COED)

Paper ID #39981A SwarmAI Testbed for Workforce Development and Collaborative,Interdisciplinary ResearchMartha Cervantes, Johns Hopkins University Martha Cervantes is a Mechanical Engineer at the Johns Hopkins University Applied Physics Labora- tory where she works in mechanical design and integration of robotic systems. Additionally, Martha is the project manger of the CIRCUIT Program at JHU/APL, which connects and mentors students from trailblazing backgrounds to STEM careers through science and engineering projects. Martha received her B.S. in Mechanical Engineering from Johns Hopkins University, and she is currently

Conference Session

Programming Education 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Tyler James Stump, The Ohio State University; Abbey Darya Kashani Motlagh, The Ohio State University; Krista M Kecskemety, The Ohio State University

Tagged Divisions

Computers in Education Division (COED)

technological age, the need to study and understand computation and the scholarship andteaching employed to prepare the next generation of engineers has become a priority for currenteducation researchers. The National Academies of Sciences, Engineering, and Medicine,reported in a 2018 report by stating, “It is a time for institutions to consider their missions andconstituencies they serve and to determine what role computing should play in the experience,knowledge, and skills of its graduates 2025 and beyond,” [1]. Computing has been identified as anecessary skillset for engineers entering the workforce to employ computational solutions tocomplex global issues. Computing educational researchers have embarked on the journey touncover the evidence-based

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)

information could also become tedious for the course instructors.The authors developed a chatbot using the Microsoft Power Virtual Agents App, which requiresminimal coding, as the main framework consists of configuring and connecting nodes. Thedevelopment stages require some considerations, such as setting up a hierarchical system to storeinformation about various courses and creating a shared department email address to send andreceive meeting requests. These considerations are addressed further in the paper. The chatbot willhandle all repetitive tasks, thus freeing the instructors time for answering more challengingquestions. It also promotes self-learning and allows students to ask questions beyond office hoursand get responses. The chatbot

Conference Session

The Best of Computers in Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Jayma Koval, Georgia Institute of Technology; Diley Hernandez, Georgia Institute of Technology; Tom McKlin; Douglas Edwards, Georgia Institute of Technology; Rafael A. Arce-Nazario; Joseph Carroll-Miranda; Isaris Rebeca Quinones Perez, University of Puerto Rico, Rio Piedras; Lilliana Marrero-Solis; Jason Freeman, Georgia Institute of Technology; Taneisha Lee Brown; Pascua Padro; Stephen Garrett; Analia E. Rao; Marion Usselman, Georgia Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Paper ID #38704Latinx Culture, Music, and Computer Science Remix in a Summer CampExperience: Results from a Pilot StudyMs. Jayma Koval, Georgia Institute of Technology Jayma Koval is a Research Associate at Georgia Tech’s Center for Education Integrating Science, Mathe- matics and Computing (CEISMC). At CEISMC, she focuses on educational research in the K-12 setting, curriculum development and teacher learning and professional development. She is currently a Doctoral student in Educational Policy Studies at Georgia State University, focusing on Research, Measurement and Statistics.Diley Hernandez, Georgia Institute of

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)

be used in education in a creative and ethical way.Dr. Kristi J. Shryock, Texas A&M University Dr. Kristi J. Shryock is the Frank and Jean Raymond Foundation Inc. Endowed Associate Professor in Multidisciplinary Engineering and Affiliated Faculty in Aerospace Engineering in the College of Engineering at Texas A&M University. 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

Conference Session

ML and Generative AI Tools and Policies

Collection

2024 ASEE Annual Conference & Exposition

Authors

Lucas J. Wiese, Purdue University at West Lafayette; Alejandra J. Magana, Purdue University at West Lafayette

Tagged Divisions

Computers in Education Division (COED)

://hai.stanford.edu/news/ai-will- transform-teaching-and-learning-lets-get-it-right[11] Y. K. Dwivedi et al., “Opinion Paper: ‘So what if ChatGPT wrote it?’ Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy,” Int. J. Inf. Manag., vol. 71, p. 102642, Aug. 2023, doi: 10.1016/j.ijinfomgt.2023.102642.[12] M. Sherin, V. Jacobs, and R. Philipp, Mathematics Teacher Noticing: Seeing Through Teachers’ Eyes. Routledge, 2011.[13] K. K. H. Chan, L. Xu, R. Cooper, A. Berry, and J. H. Van Driel, “Teacher noticing in science education: do you see what I see?,” Stud. Sci. Educ., vol. 57, no. 1, pp. 1–44, Jan. 2021, doi: 10.1080/03057267.2020.1755803.[14

Conference Session

Robotics and Circuits

Collection

2024 ASEE Annual Conference & Exposition

Authors

Carlotta A Berry, Rose-Hulman Institute of Technology; Katie Nicole Faith Collins, Rose-Hulman Institute of Technology; Alejandro Marcenido Larregola, Rose-Hulman Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

have proven to be groundbreaking and successful. One of her proudest accomplishments was receiving FIRST Robotics Competition volunteer of the year award for being a judge, judge advisor, and chair of regional and district planning committees for over a decade. This is second only to serving as co-leader of her daughter’s Girl Scout troop and then mentoring those same girls on the Gamer Girlz FIRST Lego League and VEX robotics team. Through her innovative work in engineering education and STEM outreach, she has appeared in several print and digital media including Forbes, Black Enterprise, New York Times, and CBS News. She has also been recognized with several national awards including the American Society of

Conference Session

Computer-Supported Pedagogy and Assessment

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ira Harkness, University of Florida; Justin Watson

Tagged Divisions

Computers in Education Division (COED)

assessment type (exam, homework, quiz, etc.), figures, and problems.This organization allows any assessment document to include figures or problems from theirrespective directories, as shown in Figure 1. This structure is user configurable and flexible toaccommodate different types of assessments and different organizational preferences.The following sections describe the features of theindividual files located in each of the directories.FeaturesCurrent features of SLAMS include an automatedmethod for calculating assessment point values, problemstatement and solution in one file, the use of styletemplates for automatic formatting, and a modularflexible framework. The dissemination and maintenanceof the SLAMS framework will be through the use

Conference Session

Teaching with ML and Generative AI

Collection

2024 ASEE Annual Conference & Exposition

Authors

Han Kyul Kim, University of Southern California; Aleyeh Roknaldin, University of Southern California; Shriniwas Prakash Nayak, University of Southern California; Xiaoci Zhang, University of Southern California; Muyao Yang, University of Southern California; Marlon Twyman, University of Southern California; Angel Hsing-Chi Hwang, Cornell University; Stephen Lu, University of Southern California

Tagged Divisions

Computers in Education Division (COED)

ideas in engineering design course projects,” Design Studies, vol. 47, pp. 47–72, 2016.[23] D. H. Cropley, Creativity in engineering. Springer, 2016.[24] G. Salton and C. Buckley, “Term-weighting approaches in automatic text retrieval,” Information processing & management, vol. 24, no. 5, pp. 513–523, 1988.[25] H. K. Kim, H. Kim, and S. Cho, “Bag-of-concepts: Comprehending document representation through clustering words in distributed representation,” Neurocomputing, vol. 266, pp. 336–352, 2017.[26] D. H. Cropley, A. J. Cropley, and B. L. Sandwith, “Creativity in the engineering domain,” Creativity & Engineering, vol. 11, no. 2, p. 233, 2017.[27] Y. Zhu, J.-Y. Nie, K. Zhou, P. Du, H. Jiang, and Z. Dou, “Proactive

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

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Computer-Based Testing Facility (CBTF) HistoryBefore discussing the history of our CBTF, it is important to clarify what we mean by CBT. Thisterm can take on a variety of meanings, but for this paper, CBT refers to an assessment model thatoffers students asynchronous testing in dedicated and secure computer labs with live proctoring,similar to models that other institutions have or are in the process of implementing [8, 9].The success and continued relevance of our implementation of CBT is in part evident through thegrowth that we have experienced in our operations over ten years of administering exams. Asillustrated in Fig. 1, the utilization of the CBTF has steadily increased each academic year interms of number of courses testing in the CBTF

Conference Session

Cybersecurity Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Heena Rathore, Texas State University; Henry Griffith, San Antonio College

Tagged Divisions

Computers in Education Division (COED)

San Antonio CollegeAbstractAs the realm of cybersecurity grows increasingly critical, imparting the knowledge of computersystem security particularly cryptography to students is paramount. This paper presents an inno-vative approach to this endeavor through the integration of scavenger hunt, uniquely tailored totranscend the boundaries of traditional teaching. Unlike conventional methods which are predom-inantly introduced during high school or incorporate a single intricate puzzle for participants tosolve, this paper emphasizes practical application over theory, improving the way students graspcomplex concepts and retain them. In this work, students collaborated in groups to engage inan “Capture the Flag” style scavenger hunt, conducted

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)

in communicating complex and technical ideas. 3. Understand key ideas of how to use Excel as a tool to solve problems and communicate data in science and engineering. 4. Become proficient at using MATLAB, including writing .m files and correcting or modifying existing code. 5. Learn fundamental skills for group collaboration, as well as lab and project execution/documentation/demonstrations. 6. Address the role that artificial intelligence has in engineering. 7. Understand how to utilize a microcontroller to solve certain engineering problems.Therefore, ChatGPT was not introduced into the course until two-thirds of the way through thesemester. The purpose for introducing AI to the latter part of the semester was

Conference Session

Teaching with ML and Generative AI

Collection

2024 ASEE Annual Conference & Exposition

Authors

Abdulrahman AlRabah, University of Illinois Urbana-Champaign; Sophia Yang, University of Illinois Urbana-Champaign; Abdussalam Alawini, University of Illinois Urbana-Champaign

Tagged Divisions

Computers in Education Division (COED)

; beverage company. His research focuses on identifying semantic errors of students and optimizing AI feedback using customized large language models (LLMs) through fine-tuning. Abdulrahman has worked on enhancing AI-based feedback models using both open and closed source models. His work aims to improve SQL teaching methodologies and develop tools that integrate machine learning concepts to enhance both student learning and instructor teaching experiences in computer education.Sophia Yang, University of Illinois Urbana-Champaign Sophia Yang is a second-year Ph.D. candidate with research work focused in the areas of Computing Education, Database Systems, Bioinformatics algorithms, Human-Computer Interaction, and

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

David Reeping, University of Cincinnati; Aarohi Shah, University of Cincinnati

Tagged Divisions

Computers in Education Division (COED)

.2308.10454.[28] S. Elsayed, “Towards Mitigating ChatGPT’s Negative Impact on Education: Optimizing Question Design through Bloom’s Taxonomy.” arXiv, Mar. 30, 2023. doi: 10.48550/arXiv.2304.08176.[29] S. K. Bitew, J. Deleu, C. Develder, and T. Demeester, “Distractor generation for multiple-choice questions with predictive prompting and large language models.” arXiv, Jul. 30, 2023. doi: 10.48550/arXiv.2307.16338.[30] H. McNichols et al., “Automated Distractor and Feedback Generation for Math Multiple-choice Questions via In-context Learning.” arXiv, Jan. 11, 2024. doi: 10.48550/arXiv.2308.03234.[31] E. Dickey and A. Bejarano, “A Model for Integrating Generative AI into Course Content Development.” arXiv, Aug. 24, 2023. doi

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Syed Hasib Akhter Faruqui, Sam Houston State University; Nazia Tasnim, University of Texas at Austin; Iftekhar Ibne Basith, Sam Houston State University; Suleiman M Obeidat, Texas A&M University; Faruk Yildiz, Sam Houston State University

Tagged Divisions

Computers in Education Division (COED)

given α or β, and k is the ratio of sample size for groups. For a 1 : 1 ratio recruiting, the poweranalysis indicated that a minimum sample size of 63 participants per group (total recruitment of 126participants) was optimal for this study. After careful consideration and adjustments for potentialdropout rates and population variability, a total of 150 participants will be recruited for this study.This size balances the need for sufficient statistical power and practical considerations such astime, cost, and resource availability.RecruitmentParticipant recruitment will be kept limited to the freshman class of the SHSU Engineering Tech-nology Department. This will be facilitated through (1) referrals from faculty members within thedepartment who

Conference Session

Programming Education 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Timothy James, Purdue University; Alejandra J. Magana, Purdue University

Tagged Divisions

Computers in Education Division (COED)

Demographics and Students’ Motivation as Predictors of Completion of a Massive Open Online Course,” International Review of Research in Open and Distance Learning, vol. 20, no. 2, pp. 140–161, 2019, doi: 10.19173/irrodl.v20i2.3730.[11] P. J. Guo and K. Reinecke, “Demographic differences in how students navigate through MOOCs,” in L@S 2014 - Proceedings of the 1st ACM Conference on Learning at Scale, Association for Computing Machinery, 2014, pp. 21–30. doi: 10.1145/2556325.2566247.[12] R. Y. Bayeck, “Exploratory study of MOOC learners’ demographics and motivation: The case of students involved in groups,” Open Praxis, vol. 8, no. 3, p. 223, Jul. 2016, doi: 10.5944/openpraxis.8.3.282.

Conference Session

The Best of Computers in Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Sarah L. Harris, University of Nevada, Las Vegas; Daniel Chaver Martinez, University Complutense of Madrid, Spain; Luis Piñuel; Olof Kindgren; Robert C.W. Owen

Tagged Divisions

Computers in Education Division (COED)

through hands-on labs and exercises.The RVfpga course has two subsections, also referred to as subcourses, each of which could beimplemented as a semester-long course. The first subsection focuses on learning to use thesystem, including programming the SoC, using existing peripherals, and extending the system toadd other peripherals. The second subsection focuses on microarchitecture, includingunderstanding the pipelined core and the system’s microarchitectural features such as branchprediction, memory hierarchy, and hazard handling. Both subsections also show how toexperiment with peripheral and microarchitectural modifications and extend the SoC. The EdXMOOC mainly covers the first subcourse, and the entire RVfpga course materials are

Conference Session

Spotlight on Diverse Learners

Collection

2024 ASEE Annual Conference & Exposition

Authors

Manuel A. Pérez-Quiñones, University of North Carolina; Debarati Basu, Embry Riddle Aeronautical University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

must go beyond the pure scientific facts and alsoconsider if new science should be done and who is impacted by the development of newscience.In one of the early reports (1976) presenting the challenges that women from minority groupsface in science [14], Malcom et al. present the status of women in science, with a particular focuson the experiences of ‘minority women.’ This report is. sadly, still relevant today. A recentsystematic review of the literature on broadening participation in computing [15] shows that manyof the challenges highlighted in [14] still exist today in terms of representation, inclusion, andpromotion of women in computing.More than a decade ago, Scientific American [16] dedicated a special issue to “How DiversityEmpowers

Conference Session

Cybersecurity Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Anyi Liu, Oakland University; Bruce R Maxim, University of Michigan, Dearborn; Xiaohong Yuan, North Carolina A&T State University; Yuan Cheng, Grand Valley State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Figure 1: The system architecture of the ReScuE platform.The ReScuE framework has two components: 1) a cloud-based platform and 2) a series of coursemodules and hands-on labs. As illustrated in Figure 1, the platform is built upon CloudLab 5 thatfacilitates virtual artifacts, such as networks, VMs, and containers. It comprises two services: 1)Virtual/Infrastructure Management Service (VMS) that supports key functionalities of construct-ing, managing, backing up, and restoring virtual artifacts, and 2) User Management Service (UMS)that obtains the information about virtual artifacts from CloudLab and then assigns them to stu-dents upon requests. Instructors can monitor the usage of virtual artifacts through a command lineinterface (CLI) and web

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ella Kokinda, Clemson University; D. Matthew Boyer, Clemson University

Tagged Divisions

Computers in Education Division (COED)

their learning experiences into something meaningful and tailored to their expectedexperiences [3]. Within the workplace, professionals use informal learning for continuingeducation, seeking help, gathering information, finding support or feedback, collaborating, andgaining further experience for both their career and private lives [4, 5]. However, despite researchshowing the benefits of informal learning opportunities, many individuals and organizations pushfor formal education over informal or mixed educational pathways [6].Informal education and opportunities in STEM help bridge the gap between formal education andreal-world experiences and foster continuing education throughout a career and beyond [7, 8].Specifically within computer science

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)

, “Making the invisible visible: enhancing students’ conceptual understanding by introducing representations of abstract objects in a simulation,” Instr. Sci., vol. 41, no. 3, pp. 575–596, May 2013, doi: 10.1007/s11251-012-9245-2.[14] Klahr, David, Triona, Lara, Strand-Cary, Mari, and Siler, Stephanie, “Virtual vs. Physical Materials in Early Science Instruction: Transitioning to an Autonomous Tutor for Experimental Design,” in Beyond Knowledge: The Legacy of Competence, J. Zumbach, N. Schwartz, T. Seufert, and L. Kester, Eds., Dordrecht: Springer, 2008, pp. 163–172. [Online]. Available: https://doi.org/10.1007/978-1-4020-8827-8_23[15] K. W. McElhaney and M. C. Linn, “Investigations of a complex, realistic task

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

Tagged Divisions

Computers in Education Division (COED)

personalize the learning experience, leading to adeeper understanding of subject matter, self-regulated learning, improved accuracy of studentdata analytics, and enhancement of essential skills for industrial careers. Supporting this finding,Chen et al. [9] observed a high performance on quizzes focused on assessing business students’ability to recollect and understand conceptual knowledge alongside a consensus on the use ofchatbots to foster higher-order skills such as critical thinking. Similarly, Hwang and Chang [10]highlighted the interactive feature of chatbots as a means of fostering deeper engagement withcourse concepts through conversations that go beyond text and videos.The utility of GAI for assessment has been explored with assessment

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)

expectedto see a strong reliance on cloud computing, big data, and new data-centric engineering approaches [6-7].The National Academies Guide [8] proposes developing robust ways to educate the future workforce. Akey attribute within this guide revolves around concepts that develop data knowledge from domain-specificconsiderations and ethical problem-solving. Zakaria [9] identified that to be successful in these approaches,it is vital to track and incorporate emerging trends into our current engineering curriculum to provide theproper context. The current state of data science education in traditional engineering curricula ofteninvolves the teaching of mathematical, computational, and statistical foundations through non-contextualized classes. This