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Displaying results 1 - 30 of 67 in total
Conference Session
Computers in Education Division (COED) Track 3.B
Collection
2025 ASEE Annual Conference & Exposition
Authors
Wesley A Brashear, Texas A&M University; Sandra B Nite, Texas A&M University; Richard Lawrence, Texas A&M University; Dhruva Chakravorty, Texas A&M University
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Computers in Education Division (COED)
not have previously been taught. Project based learning is an effective pedagogical tool for teachingcomputer science, and the end product or goal is often a solution to a particular coding problem or asoftware application that performs a given task. However, students must be provided with some degree offoundational knowledge in order for this approach to be utilized. The content and extent of thisknowledge is dependent on the focus and difficulty of the project, and can be particularly difficult toestablish when working with students without prior programming experience. Furthermore, whenteaching high-level general programming languages, the expansive suite of built-in tools coupled withadditional third-party packages or libraries present a
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
Gerald Tembrevilla, Mount Saint Vincent University; Mohosina Jabin Toma, University of British Columbia, Vancouver
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Computers in Education Division (COED)
adaptation project within a Canadian InitialTeacher Education (ITE) science education methods course. The 100-Mile Diet was introducedby a Vancouverite couple in British Columbia who embarked on a year-long journey to eat onlyfood sourced within a 100-mile radius of their home. This local food experiment supportssustainable farming and strengthens community connections while promoting the broader localfood movement. In this paper, the 100-Mile Diet adaptation aims to address two centralquestions: In what ways can a 100-Mile Diet adaptation project in a science education methodscourse for early childhood and elementary preservice teachers (PSTs) address climate anxiety bylinking climate change, place identity, and educational technology? Furthermore
Conference Session
Computers in Education Division (COED) Track 4.A
Collection
2025 ASEE Annual Conference & Exposition
Authors
David Foley, Universite de Sherbrooke
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Computers in Education Division (COED)
Paper ID #46287The Development of Concept-Space, a Digital Workspace that Mirrors Howthe Brain Organizes and Expands Knowledge, Reveals Positive Impacts forLearners, Teamwork and TeachersDr. Ing. David Foley, Universite de Sherbrooke David Foley, Dr. Ing. teaches engineering design at Universit´e de Sherbrooke where he supervises teams of students in realizing their capstone design projects. A majority of his time for the last 14 years have been invested in developing breakthrough technology to better support human thinking and learning processes. ©American Society for Engineering Education, 2025
Conference Session
Computers in Education Division (COED) Track 5.D
Collection
2025 ASEE Annual Conference & Exposition
Authors
Zhou Zhang, SUNY Farmingdale State College; Wenhai Li, Farmingdale State College; Khosro Shirvani, State University of New York, College of Technology at Farmingdale; Yue Hung, Farmingdale State College; Yizhe Chang, California State Polytechnic University, Pomona; Sven K. Esche, Stevens Institute of Technology (School of Engineering and Science)
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Computers in Education Division (COED)
Engineering Technology studentsat Hispanic-Serving Institutions (HSIs), where diverse student backgrounds necessitatepedagogical approaches that support varying learning styles. This paper introduces a flippedclassroom and Computer-Supported Collaborative Learning (CSCL) model aimed at fosteringpractical skills and teamwork in Tool Design education. In this model, foundational concepts—such as jig and fixture design—are delivered through video lectures, interactive CAD tutorials,and quizzes, enabling students to learn at their own pace. Out-of-class activities reinforcetheoretical knowledge by allowing students to explore pre-built models and solve design-relatedquestions. Class time is dedicated to collaborative projects where students use cloud
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)
High School Teachers: Insights from Three CohortsAbstractComputer Science for San Antonio (CS4SA) was a computer science (CS) professionaldevelopment program designed for in-service middle and high school teachers—educatorsactively teaching. CS4SA aimed to prepare teachers with essential CS knowledge and skills whileexpanding CS opportunities for Latinx and other underrepresented minority populations within alarge, urban school district in South Texas. An Institutional Review Board approved thisresearch.The program engaged teacher participants through culturally responsive pedagogy, integratedprofessional learning communities, and project-based learning strategies. Teachers appreciatedthe collaborative nature of these approaches, which
Conference Session
COED: Computing in K-12 / Early Childhood Education
Collection
2023 ASEE Annual Conference & Exposition
Authors
Martha Lucia Cano, Pontificia Universidad Javeriana, Bogotá, Columbia ; Alejandro Castro Martinez, Pontificia Universidad Javeriana, Bogotá, Columbia; Jairo Alberto Hurtado JAH, Pontificia Universidad Javeriana, Bogotá, Columbia ; Eduardo Rodriguez Mejia, Pontificia Universidad Javeriana, Bogotá, Columbia
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Computers in Education Division (COED)
since 2006.Alejandro Castro MartinezProf. Jairo Alberto Hurtado JAH, Pontificia Universidad Javeriana, Bogot´a, Columbia Associate professor at Pontificia Universidad Javeriana Bogota, Colombia, at Electronics Department. He was Chair of Electronics Engineering Program and he has been working in different projects to get a better process learning in his studentsEduardo Rodriguez Mejia, Pontificia Universidad Javeriana, Bogot´a, Columbia Hi, my name is Eduardo, I am a Rover Scout and professional Electronic Engineer with a Masters degree in Electronic Engineer. I am pursuing my PhD in Engineering with a Concentration in Engineering Education within the ExEEd department. I am interested in new teaching methodologies that
Conference Session
Computers in Education Division (COED) Track 5.C
Collection
2025 ASEE Annual Conference & Exposition
Authors
Tony Malayil, Florida Atlantic University; Daniel Raviv, Florida Atlantic University; Juan David Yepes, Florida Atlantic University
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Computers in Education Division (COED)
and large language models, computervision has emerged as a rapidly growing field within artificial intelligence. Computer visioninvolves the use of algorithms to analyze visual stimuli, mimicking our ability to perceive theenvironment around us through vision. This technology has driven advancements across multipleindustries, including applications in the medical field, agricultural production, and autonomousvehicles [1]. Its broad range of applications has significantly increased demand, positioning thefield for substantial projected growth. However, undergraduate students in college and universityinstitutions nationwide lack the adequate experience and skills needed to fill the labor demand. Upon entering university, the student
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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Computers in Education Division (COED)
indicating an improved learning experience. According to verbal reports,students often struggle with retaining and comprehending lecture content, especially whenreference materials are limited to lecture notes and slides. College students collectively undertook this project to investigate the use of conceptualvideos as supplementary pedagogical tools. They sought to develop materials enhancing coursecomprehension, covering fundamental topics from variable declaration to arrays and functionsthrough a quick topic rundown and detailed programming examples starting from the project'screations. The team embarked on the production of a series of educational videos. Thesedynamic tutorial videos deliver an immersive learning experience that is often
Conference Session
Computer Engineering Topics
Collection
2024 ASEE Annual Conference & Exposition
Authors
Ronald J. Hayne, The Citadel
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Computers in Education Division (COED)
design project. TheInstructional Processor provides the base design, which can be modified to adapt to a new set ofspecifications. Students must modify the appropriate processor components and integrate theminto the data path. The control unit must also be redesigned to accommodate the newinstructions. A sample program is then tested via simulation of the updated VHDL model.The base processor is expanded by adding a serial communication interface, designed using aUART (universal asynchronous receiver transmitter). Next, a programmable timer and interruptsystem are added to the processor architecture. The enhanced FPGA microcontroller is testedusing a design example which gives students an in-depth look at both the internal details andexternal
Conference Session
Computer Engineering Topics
Collection
2024 ASEE Annual Conference & Exposition
Authors
Timothy Sellers, Mississippi State University; Tingjun Lei, Mississippi State University; Chaomin Luo, Mississippi State University; Gene Eu Jan; Zhuming Bi, Purdue University, Fort Wayne
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Computers in Education Division (COED)
ensure that students learning can perform effectively in a professionalsetting [5, 6]. Due to this factor, there have been several methods designed to aid in studentlearning especially in engineering education, such as active learning [7–11], project-basedlearning [12, 12–16], inquiry-based learning [17].Active learning has been aware of improvement of students’ affect toward engineering educationin support of meaningful engagement with computer engineering concepts and practices [7].Compeau et al. [8] developed an active learning pedagogy in engineering electromagneticscourse, in which engineering students are actively engaged in learning through specially designedactivities, followed by reflection upon. A teaching plan is elaborated in [9
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)
analysis with a data set of 312 computing-infused lessons created by teachers in aninfusing computing professional development (ICPD) program41 and by high school interns aspart of an educational software design internship42. Of these lessons, 177 were created byteachers and 135 were created by interns. Of these 312 Snap! projects, 230 contained avatar(s)and of that subset, and 131 projects included at least one human avatar. (Note: some projects maynot have any avatars because they only include an instruction page and buttons for running asimulation or playing a memory game, for example). For our analysis, we consider these 131projects and the 207 human avatars within these projects. 44 of these projects contain multipleavatars, while 89 of these
Conference Session
Computers in Education Division (COED) Track 3.E
Collection
2025 ASEE Annual Conference & Exposition
Authors
Samuel B Mazzone, Marquette University; Dennis W Brylow, Marquette University
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Computers in Education Division (COED)
Angeles, ECS expandednationwide with NSF support. However, teachers in Milwaukee encountered challenges inadapting the ECS curriculum, particularly Unit 3 on web development, due to virtual settings,rising truancy, and Chromebook limitations. Many teachers opted for web-based alternatives withautomated coding activities, despite these being less effective for underrepresented students.These platforms lacked project submission and feedback features, increasing teacherworkload.In response, we developed the ECS Web Lab (ECS-WL), a Chromebook-compatible web tooldesigned to facilitate HTML and CSS learning while preserving ECS’s core principles: CScomprehension, inquiry-based learning, and educational equity.ECS-WL integrates features such as an in
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)
Paper ID #45588BOARD # 69: Improving Student Retention Using Research MentorsDr. Evelyn Sowells-Boone, North Carolina A&T State University Dr. Evelyn R. Sowells is an assistant professor in the Computer Systems Technology department at North Carolina A&T State University’s College of Science and Technology.Pal Dave, North Carolina A&T State University ©American Society for Engineering Education, 2025 Improving Student Retention Using Research MentorsAbstractThe Advancing Retention via Research Opportunities for Workforce Development in STEM(ARROWS) Project aims to boost minority
Conference Session
Computers in Education Division (COED) Track 6.D
Collection
2025 ASEE Annual Conference & Exposition
Authors
Shana Shaw, Texas A&M University; L. Taylor Starr, Texas A&M University; laila badran, Texas A&M University
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Computers in Education Division (COED)
minimizes on-the-job-training and allows the workplace to maximize the productivity of newhires that have the necessary skills to integrate seamlessly and almost immediately into theirworkplace. The academia-to-industry skills gap in engineering has existed for many years,specifically in the areas of communication, collaboration, professionalism, project management,etc., which are collectively called professional skills [1], [2]. Professional skills in engineeringcan be defined as the skills needed to succeed in the engineering industry such as employabilityskills, leadership skills, interpersonal skills, organization skills, emotional intelligence skills, etc.The term “soft skills” was first referenced for engineering education in 1918 by Charles
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)
of middle and high-school-aged Black scholarspartook in a summer program for two weeks to learn about AI in science. Throughout theprogram, they explored how paleontologists utilize computer vision to classify images forscientific purposes. The children also identified potential issues with AI, such as biases in thedatasets used to train ML models. Not only did the scholars learn about AI, but they also hadhands-on experiences building models using Google Teachable Machine, a teacher andstudent-friendly tool for classifying data. For their project presentations, participants createdposters that identified community-relevant issues to address via computer vision, theclassification to perform, the data they used, and classification
Conference Session
Computers in Education Division (COED) Track 4.D
Collection
2025 ASEE Annual Conference & Exposition
Authors
Carlos Sotelo, Tecnologico de Monterrey, School of Engineering and Sciences; David Sotelo, Tecnologico de Monterrey, School of Engineering and Sciences; Erick Ramírez-Cedillo, Tecnologico de Monterrey, School of Engineering and Sciences; Félix Martínez-Jiménez, Tecnologico de Monterrey, School of Engineering and Sciences; Ana I. Benavides Lahnstein, Manchester Metropolitan University; Alison Buxton, University of Sheffield
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Computers in Education Division (COED)
, examining their impact on teachers’ practices and student learning. Ana’s research also explores the pedagogical potential of environmental citizen science, particularly how science learning occurs through participation in community-based projects. She is currently a Research Associate at Manchester Metropolitan University and an Associate Lecturer at the Open University, where she teaches undergraduate modules on international education and research with children and young people.Dr. Alison Buxton, University of Sheffield ©American Society for Engineering Education, 2025 Paper ID #49151Dr Alison Buxton is a
Conference Session
Computers in Education Division (COED) Poster Session (Track 1.A)
Collection
2025 ASEE Annual Conference & Exposition
Authors
Joel Nirupam Raj; Ashwath Muppa, Thomas Jefferson High School for Science and Technology; Rhea Nirmal; Teo W. Kamath; Achyut Dipukumar; Aarush Laddha; Mihai Boicu, George Mason University
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Computers in Education Division (COED)
education as classsizes grow, and instructor resources are limited. Recent advances in large language models (LLMs)offer a practical way for educators to provide structured feedback for students on variousassignments. A pre-experiment involved four student researchers solving Project Euler problemsand showed an average improvement of 17.5 points on a scoring rubric out of 100 after coderevision using feedback generated from Claude 3.5 Sonnet. There were also notable gains in timecomplexity, efficiency, and edge case handling, with percentage increases 24.45%, 22.59%, and22%, respectively. Building on these results, we designed a classroom-based experiment involvingstudents across various programming courses. Students will be divided into control
Conference Session
COED: Online and Remote Learning
Collection
2023 ASEE Annual Conference & Exposition
Authors
Rishi Sunny Gulati; Matthew West, University of Illinois, Urbana-Champaign; Craig Zilles, University of Illinois, Urbana-Champaign; Mariana Silva, University of Illinois, Urbana-Champaign
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Computers in Education Division (COED)
(pre-lecture activi-ties, in-class activities, homework, coding projects) is statistically equivalent. While performanceon exams is statistically significantly higher in the in-person section even after controlling for stu-dents’ incoming GPA (2.4 percentage points higher when compared with students in the onlinesection, p = 0.028), we find no statistically significant difference in students’ final weighted aver-age score (the advantage for in-person students reduced to 1.2 percentage points with p = 0.067).When we disaggregate by gender, we find that women in the online section outperform the womenin the in-person section. Men’s, underrepresented minorities’, and first-generation students’ per-formance follow the same trends as the whole
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)
population in the U.S. butremain under-represented in computer science. The Remezcla project was developed to tackleissues of broadening participation of Latinx students in CS through an informal learningprogram. The current paper describes the program components and provides evaluation resultsfrom the pilot summer program implementation, held virtually in Atlanta and Puerto Ricoduring the COVID pandemic. Preliminary evaluation results suggest these one-week summercamps were effective in impacting pre-post students’ sense of belonging, self-efficacy, andintention to persist in computer science. Results reveal gender differences across severalconstructs with important implications for future studies.Background and rationaleThe word “remezcla”- the
Conference Session
Computers in Education Division (COED) Track 4.C
Collection
2025 ASEE Annual Conference & Exposition
Authors
Safia Malallah, Kansas State University; Ejiro U Osiobe; Lior Shamir, Kansas State University; David S. Allen, Kansas State University
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Computers in Education Division (COED)
and purposeful engagement. This project addresses this gap by offering an "Hour of Code" experience where children assist island inhabitants in solving computer science problems through structured tasks, fostering an understanding of engineering, data science, coding, and artificial intelligence (AI) in a fun and engaging way. “The Hidden Island of Computational Thinking” is an immersive, narrative-driven virtual world built on Roblox, designed to teach children ages 6-12 the fundamentals of computational thinking through diverse computer science pedagogies. The educational island features five main sections, each representing a distinct CS field, offering tailored, age-appropriate challenges
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
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Computers in Education Division (COED)
innovation and economic prosperity nationwide.”The massive investment in time and resources by large businesses and governments will acceleratethe presence of more products that will stimulate human-machine competition in the job marketand at the same time will create a new work environment that can accommodate thousands ofqualified workers.Here, a hands-on project-based AI workshop created to engage and educate high school teachersis designed, implemented, and assessed. Its major goal is to change teachers’ perceptions of AIthrough increased knowledge of AI topics.While the major emphasis of this work is on the content and organization of the workshop, aneducational research question (To what degree the high school teachers engage with AI through
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)
Project and holds editorial roles as Associate Editor of the IEEE Transactions on Education and Editorial Board Member for the Journal of Research and Practice in Technology Enhanced Learning. He is also the upcoming Program Chair-Elect of the PCEE Division at ASEE. His current research interests include STEM+C education, specifically artificial intelligence literacy, computational thinking, and engineering. ©American Society for Engineering Education, 2025Bridging Gender and Disciplinary Gaps: A Tri-Pillar Framework forInclusive Artificial Intelligence Literacy among Female UndergraduatesAbstractAs Artificial Intelligence (AI) becomes integral across various sectors, AI literacy has emergedas an
Conference Session
Computers in Education Division (COED) Poster Session (Track 1.A)
Collection
2025 ASEE Annual Conference & Exposition
Authors
Maria Elena Truyol, Universidad Andres Bello, Santiago, Chile; Monica Quezada-Espinoza, Universidad Andres Bello, Santiago, Chile; Genaro Zavala, Tecnologico de Monterrey, Monterrey, Mexico; Universidad Andres Bello, Santiago, Chile; Claudia Bascur, Universidad Andres Bello, Santiago, Chile
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Computers in Education Division (COED)
solving, instructional material design, teacher training, and gender studies. She teaches undergraduate courses in environmental management, energy, and the fundamentals of industrial processes at the School of Engineering, UNAB. She currently coordinates the Educational and Academic Innovation Unit at the School of Engineering (UNAB). She is engaged in continuing teacher training in active learning methodologies at the three campuses of the School of Engineering (Concepci´on, Vi˜na del Mar, and Santiago, Chile). She authored several manuscripts in the science education area, joined several research projects, participated in international conferences with oral presentations and keynote lectures, and served as a referee
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)
Crawford University. He also holds a Masters degree in International MBA from Ulyanovsk State University. He has been a part of multiple international conferences promoting technological advancements. In addition to his academic work, Mr Olamijulo is committed to enhancing the educational experience of undergraduate and graduate students through innovative teaching strategies and hands-on projects. He is actively involved in advising student projects, mentoring research groups, promoting hands-on learning experiences and is dedicated to fostering diversity and inclusion in the engineering field.Mr. Kingsley Matthew, Morgan State University Mr. Kingsley Matthew is a software engineer with over eight years of experience
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)
environment. In this section we discuss prior literature pertaining to both thesetopics.Contextual learning was used in a prior study that emphasized practical applications pertinent tothe area of mechanical engineering by including conservation education into an internshippreparation course [16]. This strategy sought to enhance student learning outcomes and promoteconservation-based behaviors, emphasizing the influence of discipline-specific, useful content onbehavior and student engagement. In another study contextual learning was used by the ChildrenDesigning & Engineering (CD&E) Project, which incorporated design-and-make activities intoK–5 lesson plans that linked science, math, and technology to real-world scenarios modeled afterNew
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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Paper ID #43103 Arthur Hoskey is a Professor of Computer Systems at Farmingdale State College in New York. He received his Ph.D. in Computer Science from the City University of New York Graduate Center and received his B.A. in Psychology from the State University of New York at Purchase. Dr. Hoskey worked as a software engineer prior to starting his academic career. Dr. Hoskey’s primary line of research has been around innovative pedagogical methods. One line of research was a collaboration with faculty from multiple State University of New York colleges on a project to explore and develop a semi-standardized and accessible introduction to computer science course (SUNY IITG funded research), focused on teaching
Conference Session
Simulations and Virtual Learning
Collection
2024 ASEE Annual Conference & Exposition
Authors
Yiyang Li, Old Dominion University; Yuzhong Shen, Old Dominion University; Charles I Sukenik, Old Dominion University
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Computers in Education Division (COED)
simulation, such as the representation ofcontinuous signals and discrete (digital) signals using the sampling theorem. This project makesuse of the state-of-the-art design principles and techniques to create a user interface and virtualenvironment that are user friendly, efficient, and effective for learning. Integration of existingthird-party software libraries is another crucial component in the rapid development of virtuallabs. This project successfully integrated SPICE, a popular circuit simulator, as the backend ofthe virtual lab, greatly expediting the overall development. This paper will discuss the techniquesfor integration of third-party software to achieve interoperability between different software.While our current development focuses on
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
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Computers in Education Division (COED)
Consortium. He is a Senior Member of the IEEE.Dr. Bruce R Maxim, University of Michigan, Dearborn Bruce R. Maxim has worked as a software engineer, project manager, professor, author, and consultant for more than forty years. His research interests include software engineering, human computer interaction, game design, virtual reality, AIXiaohong Yuan, North Carolina A&T State University Dr. Yuan is a professor in the Department of Computer Science at NCA&T. Her research interests include AI and machine learning, anomaly detection, software security, cyber identity, and cyber security education. Her research has been funded by the National Security Agency, the National Centers of Academic Excellence in
Conference Session
The Best of Computers in Education Division (COED)
Collection
2024 ASEE Annual Conference & Exposition
Authors
John K. Estell, Ohio Northern University; Lisa Graham Robeson, Ohio Northern University; Ye Hong, Ohio Northern University; Stephany Coffman-Wolph, Ohio Northern University
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professions. Estell is Professor of Computer Engineering and Computer Science at Ohio Northern University, where he currently teaches first-year programming and user interface design courses, and serves on the college’s Capstone Design Committee. Much of his research involves design education pedagogy, including formative assessment of client-student interactions, modeling sources of engineering design constraints, and applying the entrepreneurial mindset to first-year programming projects through student engagement in educational software development. Estell earned his BS in Computer Science and Engineering degree from The University of Toledo and both his MS and PhD degrees in computer science from the University of