Displaying all 17 results
- Conference Session
- Computers in Education Division (COED) Track 3.E
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Oyku Eren Ozsoy, Embry-Riddle Aeronautical University - Prescott; Luis Felipe Zapata-Rivera, Embry-Riddle Aeronautical University
- Tagged Topics
- Diversity
- Tagged Divisions
- Computers in Education Division (COED)
, loops, and functions. Additionally, itaddresses the need for improvements in course design, instructional effectiveness, and theinstructor’s professional growth. The study employs qualitative and quantitative data collectioninvolving two-course sections with a diverse group of students, engaging in 75-minute pairprogramming sessions where they alternate roles as driver (who writes the code) and navigator(who reviews and guides). The C programming language is used to facilitate collaboration andreal-world skill development. The unique aspect of this study is the structured reflection processapplied after each pair programming session. Students were asked to answer three questions: (1)what they learned, (2) what areas they needed more practice
- Conference Session
- Computers in Education Division (COED) Track 2.D
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Edward F. Gehringer, North Carolina State University at Raleigh; Madhur Dixit, North Carolina State University at Raleigh; Kavya Lalbahadur Joshi
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- Diversity
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- Computers in Education Division (COED)
,providing detailed solutions by the instructor, and then asking students to write reflections on themistakes made in their original submissions. There are various grading options, such as gradingonly the reflection or grading the homework lightly and the reflection more heavily.For the first submission, it is typical to have students submit just the answers to the homework.Often the feedback on the first submission consists of “light grading,” for completion or effort.The methodology relies upon instructors having a detailed solution set, with more extensiveexplanations than would normally be provided. Since homework problems can be reusedsemester after semester, the methodology can justify the extra effort on the part of the coursestaff.Across all
- Conference Session
- Computers in Education Division (COED) Track 2.A
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Griffin Pitts, University of Florida; Viktoria Medvedeva Marcus, University of Florida; Sanaz Motamedi, University of Florida
- Tagged Topics
- Diversity
- Tagged Divisions
- Computers in Education Division (COED)
assignments,” which “is a serious risk.” The specific practice ofstudents who ”copy and paste writing assignments from AI chatbots like Chat GPT and hand it inas their own original work” was repeatedly highlighted as problematic. Many participants framedthese behaviors within ethical and institutional contexts, noting that such actions ”are not only inviolation of the school’s honor code, but also unethical and unfair to their peers.” Interestingly, acounterbalancing concern also emerged—that legitimate student work might be incorrectly flaggedas AI-generated, with one participant noting they had ”already seen...peers...who do produce workthat is entirely their own being falsely accused of submitting AI generated work.” Table 2
- 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
- Tagged Topics
- Diversity
- Tagged Divisions
- Computers in Education Division (COED)
], which introducessome active programming teaching methods. Portela employed four approaches to develop theinstructional plan, namely: BYOD, flipped classroom, gamification, and using the skills ofindividual students to solve posed problems. Tewolde presented a method for improving studentmotivation in a microcontroller-based embedded systems course to enhance students’ role inactive learning [10]. The method consists of three tools, namely: laboratory assignments forpractical hands-on activities, “peer teaching” techniques, and self-proposal, which enablesindividual creativity. For some complex and difficult to understand courses such as programmingalgorithms-related subjects, Garcia et al. [11] proposed a method in the form of
- Conference Session
- Computers in Education Division (COED) Poster Session
- Collection
- 2024 ASEE Annual Conference & Exposition
- Authors
- Thomas Rossi, University of New Haven; Pulin Agrawal, Pennsylvania State University; Negein Immen, Pennsylvania State University; Angelina Krystal Valentin, Pennsylvania State University; Neha Sagi, Pennsylvania State University; Domenico Alford-Egizio, Pennsylvania State University
- Tagged Topics
- Diversity
- Tagged Divisions
- Computers in Education Division (COED)
lost in differentlecture styles or written material. The college students being the coaches of each video comparesto peer-teaching which can enrich the learning experience by offering an additional layer ofsupport and engagement alongside the expertise of professors. These videos were intended not as replacements for the lecture materials but ascomplementary resources to reinforce newly acquired knowledge for a deeper understanding.Further, they would serve as valuable review tools not only for students currently enrolled butalso for upperclassmen seeking to refresh their programming skills. This enhances conceptretention and increases student engagement, potentially leading to improved attendance,participation, and grades in computer
- 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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- Diversity
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- Computers in Education Division (COED)
engineering (i.e. developing prompts to maximizeoutput accuracy), evaluation of AI responses, and ethical considerations [9-11].Due to its versatile nature, AI has the capacity to be used in nearly every academic discipline,similar to the use of the internet. However, AI may be most effective in fields where students arerequired to complete more ill-defined tasks such as writing lab reports or creative writing [1],[8]. Similarly, AI has been used in marketing and other business fields for content creation, salesoptimization, and for customer service chatbots [12-13]. In science education, the use of AI hasbeen shown to can boost students’ motivation and participation in learning exercises, but it haslimitations regarding complex subjects, and can
- 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
- Tagged Topics
- Diversity
- Tagged Divisions
- Computers in Education Division (COED)
students’knowledge, skills, and attitudes. While these assessments might contribute to achieving learningobjectives, the development of thinking, problem-solving skills, and student motivation shouldbe explored as an extracurricular activity rather than an assignment that takes place in aclassroom environment.Augmented reality (AR) is a technology that overlays virtual objects in the real-worldenvironment, which enhances users’ engagement [6]. This technology has been applied toencourage critical thinking in learners of different ages [7-9]. Through the Assemblr Eduplatform, it is shown in [7], that English writing skills are improved. Similarly, in [8], ARtechnology is used to facilitate collaborative learning in science education, while in [9], it
- 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
- Tagged Topics
- Diversity
- Tagged Divisions
- Computers in Education Division (COED)
in which students learn about academic writing and out-of-classroom research with a professor. As a result, the program significantly prepared the student prior to joining a research group, helping eliminate his “fear” of research. Universities that have and encourage students to join such programs can strengthen the abilities of their students [3]. • Active recruitment by peers: The student was recruited into the lab by one of its undergraduate researchers. The researcher recognized their interest in computer vision and believed they would be a strong candidate to join. • Professor mentorship: Once accepted into the lab, the professor explained computer vision using one of the field's
- Conference Session
- COED Programming Education 1: Students, Motivation, and Mastery
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- David M. Feinauer, P.E., Virginia Military Institute; Runna Alghazo, Prince Mohammad Bin Fahd University, Saudi Arabia; Jaafar M. Alghazo, Virginia Military Institute; Sherif Abdelhamid, Virginia Military Institute; James C. Squire, P.E., Virginia Military Institute
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- Diversity
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- Computers in Education Division (COED)
technology, curriculum and instruction, leadership, and technical writing pedagogy.Dr. Jaafar M. Alghazo, Virginia Military Institute Dr. Jaafar Alghazo is an Associate Professor in Electrical and Computer Engineering at the Virginia Military Institute. He graduated from Southern Illinois University with a Ph.D in Engineering Sci- ence/Computer Engineering in 2004 and M.Sc. in Electrical and Computer Engineering in 2000 from the same university. He worked at the American University in Dubai, the University of Central Florida, and Prince Mohammad Bin Fahd University before joining the Virginia Military Institute as a Tenure Track faculty member. His research interests are in Machine Learning and Artificial Intelligence
- 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
- Tagged Topics
- Diversity
- Tagged Divisions
- Computers in Education Division (COED)
usingAI towards decision making in admissions, financial aid, finance, scheduling and humanresources. Within the classroom, there are opportunities for advanced AI models to aid in theteaching enterprise (with faculty/department chair oversight). Furthermore, autonomous robotsmay play a role in services such as libraries, dining halls and facilities and operations.Within STEM disciplines, there are additional opportunities and challenges associated with usingAI tools [17]. Doors are opened to facilitate teaching and learning through simulations as well asin providing personalized tutoring/instruction. Concerns arise from the impact on the learningprocess when tools like ChatGPT can compose text to be used to write essays, conduct
- 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)
resources they need for general well- being or success in specific metrics” [11,p. 4]. In this definition they connect “fair conditions” with “individuals and groups” and thesuccess in whatever endeavor being evaluated (e.g., “specific metrics”), but clearly at the outcomeof the endeavor.A report calling for technology design to be more inclusive provides another take on thechallenges we face trying to understand equity and equality. In [12], equality is defined aseveryone having “the same opportunity” even if it affords some in the group “an existing (andoften unconscious) unfair advantage.” In contrast, equity means everyone getting an opportunitythat levels the “playing field with their peers” thus increasing the “fairness to compete.”In summary
- Conference Session
- Computer-Supported Pedagogy and Assessment
- Collection
- 2024 ASEE Annual Conference & Exposition
- Authors
- Jim Sosnowski, University of Illinois Urbana-Champaign; Julie M Baker, University of Illinois Urbana-Champaign; Olivia Arnold, University of Illinois Urbana-Champaign; Mariana Silva, University of Illinois Urbana-Champaign; David Mussulman, University of Illinois Urbana-Champaign; Craig Zilles, University of Illinois Urbana-Champaign; Matthew West, University of Illinois Urbana-Champaign
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- Diversity
- Tagged Divisions
- Computers in Education Division (COED)
Academic Integrity ViolationsThe vast majority of actionable academic integrity reports can be grouped into two categories; (1)using a cell phone or smartwatch during an exam or (2) bringing course material into the lab eitherin the form of a cheat sheet or written on their body. However, we have also seen other studentbehaviors develop which have required us to institute new exam policies. Restrictions regardingwhen students could begin writing on their scratch paper is a good example of a policy changethat occurred in response to student behavior. Until recently, students were allowed to write ontheir scratch paper as soon as they were seated in the lab, a policy based on the assumption thatonce in the lab any information that was written on the
- Conference Session
- Computers in Education Division (COED) Poster Session (Track 1.A)
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Hannah Oluwatosin Abedoh, Morgan State University; Blessing Isoyiza ADEIKA, Morgan State University; Pelumi Olaitan Abiodun, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University; Abiola Olayinka Ajala, Morgan State University; OLUWATOYOSI OYEWANDE, Morgan State University
- Tagged Topics
- Diversity
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- Computers in Education Division (COED)
enables the creation of personalized learning content, automated feedback, and real-timeacademic support. A notable example is OpenAI’s ChatGPT, a large language model trained togenerate human-like text responses, assisting students and educators in various academic tasks,including writing, coding, and content summarization [4]. While several generative AI models,such as Google Bard and Anthropic's Claude, offer similar capabilities, ChatGPT is known for itswidespread adoption in educational contexts, its advanced natural language processingcapabilities, and its frequent integration into learning management systems and academicworkflows. These factors position ChatGPT as a leading AI tool in education, making it an idealcase for examining the
- 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)
participantsto have direct manipulation and feedback.The program encouraged participants to have an active role in their learning, which follows aconstructivist approach to teaching and facilitation. The summer program began with participantslearning about datasets through the use of iNaturalist when visiting a garden anda museum.They also completed teamwork and planning activities. After this, more scientific discussionsbegan with the use of a peanut butter and jelly recipe writing activity, which served as a segueinto a discussion about algorithms and the importance of data in training AI models. From there,GTM was introduced using the example of shark teeth and three classes: cutting teeth, graspingteeth, and crushing teeth. Computer vision was
- 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
- Tagged Topics
- Diversity
- Tagged Divisions
- Computers in Education Division (COED)
, University of ConnecticutChad DorseyBianca Montrosse-Moorhead, University of Connecticut Bianca Montrosse-Moorhead, Ph.D., is a Professor of Research Methods, Measurement, and Evaluation at the University of Connecticut, where she also directs the Partnership for Evaluation and Educational Research (PEER) lab. As Co-Editor-in-Chief of New Directions for Evaluation and internationally recognized evaluation scholar, Bianca has dedicated her career to bridging the space between evaluation theory, research, and practice. Her scholarship encompasses a broad spectrum of contributions, from evaluating various educational and social programs using diverse methodologies to enhancing the professional training of evaluators
- 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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- Diversity
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- Computers in Education Division (COED)
industry soft skills in engineering” • “AI use in engineering classes” • AI AND “measuring engineering soft skills” • engineering AND (“academia-to-industry readiness gap” OR “industry readiness gap”) • “impact of using AI to teach engineering undergraduates industry skills” • “undergraduate engineering curriculum using generative AI” Table 1. Search Criteria In screening the articles reviewed in the general search, specifics were looked forinvolving a combination of engineering, AI, professional skills, and the assessment of these skillsin engineering curricula while emphasizing criteria such as scientific rigor, peer reviewedarticles, and impact factor
- 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
- Tagged Topics
- Diversity
- Tagged Divisions
- Computers in Education Division (COED)
tool for VW experiences,especially among younger audiences. With millions of active users under age 13, Robloxprovides an engaging and immersive environment where children can explore virtual worlds,create games, and socialize with peers [2]. This platform has attracted significant attention fromboth educators and researchers for its potential as a learning tool. Studies have shown thatRoblox fosters creativity and collaboration, allowing children to experiment with gamedevelopment, storytelling, and design. Its user-friendly interface and wide range of gamesappeal to children, while its open-world nature allows for exploration and interaction within asafe, controlled environment. However, despite its entertainment value, concerns have