Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Evelyn Sowells-Boone, North Carolina A&T State University; Pal Dave, North Carolina A&T State University

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Computers in Education Division (COED)

enrichunderstanding but also boost motivation and commitment to STEM careers [7].Finally, building an inclusive academic atmosphere ensures that students feel appreciated andencouraged, which is critical for overcoming feelings of isolation common amongunderrepresented groups [8]. This report investigates how ARROWS activities—structuredmentorship, immersive research involvement, and institutional support—help minority STEMstudents achieve better retention outcomes.As a core retention strategy, mentorship is an essential part of the ARROWS curriculum. Theinitiative connects participants with dedicated faculty mentors who give tailored help on bothacademic obstacles and personal development. To date, 15 faculty members from the College ofScience and

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Valerie A Carr, San Jose State University; Jennifer Avena, University of Northern Colorado; Maureen Smith; Wendy Lee, San Jose State University; David Schuster, San Jose State University; Belle Wei, San Jose State University

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Computers in Education Division (COED)

data science, bioinformatics, and applied computing for the social sciences.These programs are designed to provide students with both domain knowledge and computingskills to better prepare them for today’s increasingly digital world. To benefit from theseprograms, however, students first need awareness that these opportunities exist. Furthermore,students majoring in non-computer science/engineering fields are often not provided withlearning experiences that foster their self-efficacy in pursuing computing courses, thus limitingtheir future educational and career choices [1 - 3]. Students from historically marginalizedcommunities, shown to be enrolled at higher rates in community colleges than in 4-yearinstitutions, are particularly affected by

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Valerie A. Carr, San Jose State University; Jennifer Avena, San Jose State University; David Schuster, San Jose State University; Wendy Lee, San Jose State University; Belle Wei, San Jose State University

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Computers in Education Division (COED)

minor in Applied Computing for Behavioral and Social Sciences (ACBSS), and is a co-advisor for the minor. Additionally, she teaches the first course in the minor series, which covers the application of Python to current social science topics, as well as the use of programming in careers such as data analysis, user experience research, and econometrics.Jennifer Avena, San Jose State UniversityDavid Schuster, San Jose State UniversityWendy Lee, San Jose State UniversityDr. Belle Wei, San Jose State University Belle Wei is Carolyn Guidry Chair in Engineering Education and Innovative Learning at San JosA©˜ State University (SJSU). Previous roles include: Provost and Vice President for Academic Affairs at California State

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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Computers in Education Division (COED)

areas of the United States have less access to computer science education and are underrepresented in computer science majors and careers. At the same time, many rural occupations such as agriculture are becoming reliant on technology, and there is a need for skilled computer scientists with a rural background and skillset to develop effective tools and software that can be used in those occupations. In addition, the values of grit, determination, self-sufficiency, and perseverance often studied in rural populations are also attributed to successful computer scientists. Given the need for rural students to participate in computer science careers, and the overlap in rural values and the qualities of good

Conference Session

Computers in Education Division (COED) Track 5.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Alberto G De La Cruz, Savannah State University; Mir M Hayder, Savannah State University

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Computers in Education Division (COED)

and engagement in the STEM fields.IntroductionFor the last few decades, STEM programs have been underrepresented by minority students,primarily female students in higher education. Fields such as computer science and engineeringare where the absence of minority and female students is more noticeable; however, subjectssuch as biology, chemistry, and life sciences are more attractive to female students whenselecting a college degree and potential career paths [1]. To address this disparity and increasethe diversity of students in computer science and cybersecurity, especially underrepresentedminorities (URM) and women, it is necessary to create awareness and foster interest from anearly age [2]. Implementing effective STEM programs in the K-12

Conference Session

COED: Skills for Moving from Computing Student to Professional

Collection

2023 ASEE Annual Conference & Exposition

Authors

Edward Dillon, Morgan State University; Abigail Dina; Mariah McMichael; Theodore Wimberly Jr.; Lauren Brown; Krystal L. Williams, University of Georgia

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Computers in Education Division (COED)

. He has also con- ducted a Faculty in Residency at Google during the summer of 2018 to learn more about this company’s culture, practices, and to understand the expectations for candidates (e.g. aspiring CS majors) who pursue career opportunities at this company and related prominent companies in tech.Abigail DinaMariah McMichaelTheodore Wimberly Jr.Lauren Brown Lauren Brown is a Morgan State University Research Assistant majoring in Computer Science.Krystal L. Williams, University of Georgia ©American Society for Engineering Education, 2023 Exposing Early CS Majors to Technical Interview Practices in the Form of Group-Based Whiteboard Problem Solving ActivitiesAbstract:Upon degree

Conference Session

COED: Spotlight on Diverse Learners

Collection

2023 ASEE Annual Conference & Exposition

Authors

Edward Dillon, Morgan State University; Theodore Wimberly Jr.; Mariah McMichael; Lauren Brown, Morgan State University; Abigail Dina; Krystal L. Williams, University of Georgia

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Computers in Education Division (COED)

for funding by NSF. He has also con- ducted a Faculty in Residency at Google during the summer of 2018 to learn more about this company’s culture, practices, and to understand the expectations for candidates (e.g. aspiring CS majors) who pursue career opportunities at this company and related prominent companies in tech.Theodore Wimberly Jr.Mariah McMichaelMiss Lauren Brown, Morgan State University Lauren Brown is a Morgan State University Research Assistant majoring in Computer Science.Abigail DinaKrystal L. Williams, University of Georgia ©American Society for Engineering Education, 2023Examining Psychological and Social Factors that Impact the Experiences and Representation of Black Women in

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)

that these populationssubscribe to a complex shared group identity referred to as rural consciousness [9]. Whilenot yet adequately explored, there is also some evidence to support that, for intersectionalidentities, rural consciousness may play a larger role in decision making than gender, race, orethnic identities.In her landmark 2004 paper, Bridget Barron suggested that a learning ecology perspectivewas a useful mechanism for understanding how and why students engage in activities thatdevelop an interest in technology careers. She identified five contexts that support students indeveloping fluency in an interest like a computer science — school, peers, home, community,and distributed resources — and argued that students need support across

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

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Computers in Education Division (COED)

computing and included sample questions such as asking to what extent studentsagree that “I’m certain I can understand the ideas taught in computing courses.” These itemswere modified from the Motivated Strategies for Learning Questionnaire [39]. We adapted theitems to specifically ask students about their beliefs related to computing and used the same 5-point Likert scale (strongly disagree to strongly agree) as Matthews [40].Intent to Persist: Items for this construct measured students’ intent to persist, interest in computerscience careers, and perceived relevance of computer science to future/future time and content.These items asked students to what extent they were interested in taking more computer scienceclasses, interested in computer

Conference Session

Computers in Education Division (COED) Track 3.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Muhammad Naveed Aman, University of Nebraska - Lincoln; Moomal Bukhari, University of Nebraska - Lincoln; Eric Clarence Einspahr, University of Nebraska - Lincoln; Jena Shafai Asgarpoor, University of Nebraska - Lincoln; Bhuvaneswari Gopal, University of Nebraska - Lincoln

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Computers in Education Division (COED)

highDFW rates. Our course redesign tackled these issues by integrating two key strategies:contextualized learning and the inclusion of undergraduate learning assistants (LAs) to foster apeer-supported learning environment.The first approach, contextualized learning, embeds computing concepts within real-worldengineering problems. By presenting engineering-focused challenges, students were able tobridge the gap between theoretical knowledge and practical application. This approach not onlyfostered deeper comprehension but also significantly increased engagement, helping students toconnect computing principles to their future careers. As a result, we observed improvements inboth retention and academic performance.The second approach involved the

Conference Session

COED: Spotlight on Diverse Learners

Collection

2023 ASEE Annual Conference & Exposition

Authors

Daniel A. Tillman, University of Texas, El Paso; Wei Yan, Texas A&M University; Song An, University of Texas, El Paso; Jeffrey Liew, Texas A&M University; Kien H. Lim; Lisa Garbrecht, University of Texas, Austin; Philip B. Yasskin

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Computers in Education Division (COED)

Hispanics graduatefrom high school prepared to begin a STEM degree program or career [3][4]. This project aimsto overcome Hispanic students’ barriers by improving both cognitive and socio-emotionaloutcomes and enhance students’ informal learning communities by: (1) increasing participants’interest and engagement with mathematics and geometry specifically, (2) increasing participants’productive dispositions toward STEM subjects, and (3) enhancing the culture and broadeningparticipation in students’ informal learning communities. The after-school activities will bemodeled on the Math Circles which are a nationally recognized outreach program which allowsteenagers to investigate interesting and fun math concepts through inquiry-based learning underthe

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Daniel Kane, Utah State University; Wade H Goodridge, Utah State University; Linda Davis Ahlstrom, Utah State University; Oenardi Lawanto, Utah State University; Michaela Harper, Utah State University; Cassandra J McCall, Utah State University

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Computers in Education Division (COED)

Utah State University (USU). Her research focuses on the intersections of disability, identity formation, and culture and uses anti-ableist approaches to enhance universal access for students with disabilities in STEM, particularly in engineering. At USU, she serves as the Co-Director of the Institute for Interdisciplinary ©American Society for Engineering Education, 2025 Paper ID #47960Transition Services. In 2024, Dr. McCall received a National Science Foundation CAREER grant toidentify systemic opportunities for increasing the participation of people with disabilities in engineering.Her award-winning

Conference Session

Computers in Education Division (COED) Track 4.E

Collection

2025 ASEE Annual Conference & Exposition

Authors

Gabriella Marie Haire, University of Florida College of Education; Pavlo Antonenko; Christine Wusylko, University of Florida; STEPHANIE KILLINGSWORTH, University of Florida; Brian Abramowitz, University of Florida; Jeremy A. Magruder Waisome, University of Florida

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Computers in Education Division (COED)

example ofan external environment that impacts students can be seen through space exploration. Accordingto Collins [16], “Without pronounced personal interest, if they never see astronauts that looklike them nor understand how that career field will affect their innermost circle of friends andfamily, there is decreased value to that field of study for them” [16, p. 161]. Figure 1 furtherdemonstrates how these aspects contribute to a STEM identity. Figure 1. Black student STEM identity [16].MethodsResearch DesignThis study used a mixed-method methodology to explore students’ self-efficacy andperformance based on quantitative data sources (pre- and post-implementation surveys andqualitative sources (quality of participants

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Valerie Elise Sullivan, University at Buffalo, The State University of New York; Rachel N. Bonnette, University at Buffalo, The State University of New York

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Computers in Education Division (COED)

training instructors can seek.Best Practices Support Learning for EveryoneComputer Science student Imani explained that they feel motivated when the learning isinteresting, authentic, and engaging in the classroom: Trying to find like that value, they may put it in the syllabus or in the beginning like, hey, these are the learning outcomes. This is what you're gonna be learning from it. This is how it's gonna apply to your future career. So that might be some way they're trying to get that interest. Like, hey, this actually does matter.Here, Imani proposes a variety of best teaching practices that include creating well-defined,straightforward learning objectives in the classroom policy and stating how the learning

Conference Session

Computers in Education Division (COED) Track 5.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Amy Isvik, North Carolina State University at Raleigh; Veronica M Catete, North Carolina State University at Raleigh

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Computers in Education Division (COED)

role model and a learnerincreases the likelihood that that model will raise the learners’ beliefs in their own capabilities11.Identity-based role models have been shown to influence career choice by providing anopportunity for learners to evaluate their own abilities and conception of what is possible forthem in the future, empowering learners to envision themselves in the place of the role model12.Expectancy-value theory states that learners are motivated to complete tasks that they believethey can complete and that they believe have value, including utility value for their future13,14.When students connect with an identity-based role model, their expectations for value and taskfeasibility may increase, leading to increased engagement

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

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Computers in Education Division (COED)

slow its inclusion into this field of study. This paper proposes the Dataying framework to teach data science concepts to young children ages 4–7 years old. The framework development included identifying K–12 data science elements and then validating element suitability for young students. Six cycled steps were identified: identifying a problem, questioning, imagining and planning, collecting, analyzing, and story sharing. This paper also presents examples of data decision problems and demonstrates use of a proposed Insight- Detective method with a plan worksheet for Dataying.IntroductionThe expected growth of data science careers worldwide over the next ten years means thatstudents of all ages

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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Computers in Education Division (COED)

created largely by patterns of residentialsegregation and socioeconomic disadvantage [11].The integration of computer science into almost every discipline creates lucrative jobsand promising career opportunities. However, the field is still underpopulated and under-represented [12]. Specifically, one of the significant challenges and bottlenecks in the expansionof computer science education is the inaccessibility of highly qualified teachers in rural areas[13]. To help address the CS teacher deficit, Morrissey and Koballa et al [13] developed apreservice CS certification pathway, a testing option for CS professionals who want to transitionfrom industry into teaching, and a CS endorsement for teachers who are certified in otherteaching areas to

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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Computers in Education Division (COED)

teachers from non-CSbackgrounds to introduce CS experiences and instruction into their classrooms to increase Latinxparticipation in CS. The program presented computer science and pedagogical content alignedwith the state’s high school CS teacher standards. It also assisted teachers in navigating thechallenges of implementing CS teaching in diverse classrooms.To support these goals, CS4SA designed and developed a professional development program thatincluded instructional materials, workshops, tutoring, coding camps, and campus visits, whereteachers observed presentations about university CS degree programs, deepening theirunderstanding of CS applications and career pathways. The instructional materials includedbooks on computer programming [1

Conference Session

Computers in Education Division (COED) Track 4.D

Collection

2025 ASEE Annual Conference & Exposition

Authors

Leslie Bondaryk, The Concord Consortium; Aaron Kyle, Duke University; Ido Davidesco, University of Connecticut; Chad Dorsey; Bianca Montrosse-Moorhead, University of Connecticut

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Computers in Education Division (COED)

Paper ID #46896Embodied Sensors and Digital Twins as an Introduction to MicroprocessorProgramming for Middle and High School Non-CS MajorsMs. Leslie Bondaryk, The Concord Consortium Leslie Bondaryk received the B.S. degree from the Massachusetts Institute of Technology, and the M.S. degree from the University of California, Santa Barbara, both in electrical engineering. She is currently the Chief Technology Officer with the Concord Consortium, Concord, MA, USA. Over her career, Ms. Bondaryk has introduced new technologies to educational research and publishing projects across computer science, mathematics, engineering, and

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ankunda Kiremire, Louisiana Tech University; Kevin A Cherry, Louisiana Tech University

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Computers in Education Division (COED)

resource for realtime student evaluation.Future WorkThe authors plan on implementing the In Class Datastorm challenges across all sections of ourprogram’s sophomore Data Structures class initially, and then all our freshmen classeseventually.We also plan on hosting our first day long Datastorm event in the near future. Our institution hassuccessfully held a similar event called Cyberstorm [7] at least annually over the last 14 years.Cyberstorm has shown great success in increasing the visibility of both our institution’s CyberEngineering program as well as the Cybersecurity field of our Computer Science program. It hasalso served to increase student and community engagement in the field, and encourage students topursue careers in these areas. We

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Nadya Shalamova, Milwaukee School of Engineering; Olga Imas, Milwaukee School of Engineering; James Lembke; Maria Pares-Toral, Milwaukee School of Engineering; Derek David Riley, Milwaukee School of Engineering; Daniel Bergen, Milwaukee School of Engineering

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Computers in Education Division (COED)

underscores the necessity for students to acquireskills that complement AI, leveraging its capabilities to enhance their work. Concurrently, AI'spotential to automate current "nonroutine" jobs highlights the importance of AI education inpreparing students for a dynamic labor market. As of early 2024, the skill most in demand in jobpostings was artificial intelligence (0.56%), followed by machine learning (0.5%) [9]. In thiscontext, AI literacy is essential, equipping students to harness AI to improve efficiency andproductivity in their future careers [10], [11].Additionally, higher education must align current pedagogical practices with the changing waysof thinking, learning, and interacting resulting from people’s regular use of AI in

Conference Session

The Best of Computers in Education Division (COED)

Collection

2024 ASEE Annual Conference & Exposition

Authors

Phyllis J. Beck, Mississippi State University; Mahnas Jean Mohammadi-Aragh, Mississippi State University

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Computers in Education Division (COED)

barriers to foster an environment where diverse and creative people are successful in the pursuit of engineering and computing degrees. Jean’s efforts have been recognized with numerous awards including the National Science Foundation Faculty Early Career Development award, the American Society for Engineering Education John A. Curtis Lecturer award, and the Bagley College of Engineering Service award. Jean earned her B.S. and M.S. in computer engineering from Mississippi State University, and her Ph.D. in engineering education from Virginia Tech. ©American Society for Engineering Education, 2024 An Initial Investigation of Design Cohesion as an IDE-based Learning Analytic for

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

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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

2024 ASEE Annual Conference & Exposition

Authors

Lisa Cullington, Sacred Heart University; Mary V Villani, Farmingdale State College, SUNY, New York; Nur Dean, Farmingdale State College, SUNY, New York; Moaath Alrajab, Farmingdale State College, SUNY, New York; Arthur Hoskey, Farmingdale State College SUNY, New York; Ilknur Aydin, Farmingdale State College, SUNY, New York

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Computers in Education Division (COED)

research community and to ultimately broaden participation. Dr. Villani is the co-advisor of the Supporting Women in Computing Club where she has mentored many women students in the program. Dr. Villani is the recipient of the Chancellor’s Award for Teaching Excellence, 2012. Prior to joining FSC, Dr. Villani had a 15 year computer consulting career in the Risk Management and Insurance Industry.Dr. Nur Dean, Farmingdale State College, SUNY, New York Nur Dean is an Assistant Professor in the Computer Systems Department at Farmingdale State College in New York. She obtained her PhD in Computer Science from The Graduate Center, City University of New York and holds an M.S. in Applied Mathematics from Hofstra University in New

Conference Session

Computers in Education Division (COED) Track 5.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Christopher J. Lowrance, United States Military Academy; Edward Sobiesk, United States Military Academy; Jean R.S. Blair, United States Military Academy; Christa M Chewar, United States Military Academy

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Computers in Education Division (COED)

Studies and Hands-on Learning to Empower Non-Engineers to Excel in a Tech-Driven WorldAbstractThis paper presents an experience report on a new general education course designed to buildconfidence in students across all academic majors, most of which are non-STEM, in exploring,evaluating, and adopting emerging technologies for their future careers. The modular coursecombines case studies with hands-on learning activities that incorporate generative AI, equippingstudents to thrive in an era of rapid technological change. Results from pre- and post-coursesurveys show a marked increase in student confidence in achieving the course outcomes.Furthermore, module-specific surveys indicate positive student perceptions, highlighting

Conference Session

Computers in Education Division (COED) Track 2.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jason M. Keith, Iowa State University of Science and Technology; Jason Coleman, Kansas State University; Lis Pankl, Mississippi State University

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image generator, MicrosoftCopilot is available to all faculty, staff, and students with enterprise-level security and privacy.Courses and CurriculaKSU offers a number of degrees and certificates, each requiring students to take several coursesthat prepare students for technical careers related to artificial intelligence. These include: ● Advanced Intelligent Systems Programming (undergraduate certificate) ● Applied Machine Learning (undergraduate certificate) ● Computer Science (Bachelor of Science, Master of Science, Doctor of Philosophy) ● Data Analytics (Master of Science, graduate certificate) ● Machine Learning and Autonomous Systems (Bachelor of Science, graduate

Conference Session

Computers in Education Division (COED) Track 6.D

Collection

2025 ASEE Annual Conference & Exposition

Authors

Raymond Deji Olamijulo, Morgan State University; Kingsley Matthew, Morgan State University; Oluwafemi Samuel Ifesanmi, Morgan State University; Abiola Olayinka Ajala, Morgan State University; Pelumi Olaitan Abiodun, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University

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Computers in Education Division (COED)

in full-stack development, database administration, and system architecture. He has contributed to several live projects across e-commerce, digital platforms, and enterprise systems. Kingsley began his career as an intern at NIIT and has held engineering roles at Infosys Digital Solutions and Bestrigo Digital and AI Agency. He is currently pursuing an advanced degree in Computer Science, with academic interests in software engineering, machine learning, and data science. Kingsley is an active member of the Nigerian Computer Society (NCS) and the Institute of Management Information Systems (IMIS), and is committed to using technology to create impactful, scalable solutions.Mr. Oluwafemi Samuel Ifesanmi, Morgan

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Deborah Moyaki, University of Georgia; Deborah Gbemisola Fabiyi, Washington State University; Nathaniel Hunsu, University of Georgia

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Computers in Education Division (COED)

the success of any technology depends on theend users [16], we must investigate learning technologies that characterize foundationalengineering courses to ensure effective implementation in preparing engineering learners forfuture careers. Furthermore, there is a need to develop and make available validatedinstruments for measuring technology acceptance-related factors towards a standardizedunderstanding of the literature.Presently, we observed adoption and acceptance to be used interchangeably in most of thereviewed studies and propose that a clear distinction be made by researchers in theirpublications. This distinction enables instructors to identify literature relevant to theirclassroom or institutional phase, yielding positive impacts

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jinyi Jiang, Nanyang Technological University; Ibrahim H. Yeter, Nanyang Technological University

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Computers in Education Division (COED)

, greatly enriched my learning experience and made this research journey ameaningful one.ReferencesCapital One Tech. (2025, April 3). Advancing AI research: industry & academia collaborations. Capital One. https://www.capitalone.com/tech/ai/ai-research-industry-academia/Allen, L. K., & Kendeou, P. (2023). ED-AI Lit: An Interdisciplinary Framework for AI Literacy in Education. Policy Insights from the Behavioral and Brain Sciences, 11(1), 3–10. https://doi.org/10.1177/23727322231220339Cadaret, M. C., Hartung, P. J., Subich, L. M., & Weigold, I. K. (2016). Stereotype threat as a barrier to women entering engineering careers. Journal of Vocational Behavior, 99, 40–51. https://doi.org/10.1016/j.jvb

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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Computers in Education Division (COED)

biting in bats and monkeys, also using finite element modeling techniques. In 2010, he started his career teaching in all areas of mechanical engineering at the University of Southern Indiana. He loves teaching all of the basic mechanics courses, and of course his Vibrations and Finite Element Analysis courses.Mr. Bradley Lane Kicklighter P.E., University of Southern Indiana Brad holds a BS in Electrical Engineering from Rose-Hulman Institute of Technology (1989) and an MS in Electrical and Computer Engineering from Purdue University (2001). His past work experience includes eleven years at Delphi (formerly Delco Electronics) as an Advanced Project Engineer, eleven years at Whirlpool Corporation as a Lead Engineer