Conference Session

Spotlight on Diverse Learners

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sung Je Bang, Texas A&M University; Saira Anwar, Texas A and M University

Tagged Divisions

Computers in Education Division (COED)

Processing for Assisting in Writing English SentencesAbstractMany non-English speaking international students come to the United States to pursueundergraduate engineering programs. However, most of them struggle to learn and use Englishproficiently. This struggle to learn and use English poses various challenges. For example, suchstudents struggle to describe their plans and thoughts to their college peers and colleagues atwork. Also, it is mostly harder for such students to make their place in academic or industrycareers. Some of these difficulties arise because students cannot identify sentence structures ordifferences between various types of sentences in English. Writing in complete sentences is oneway to convey

Conference Session

ML and Generative AI Tools and Policies

Collection

2024 ASEE Annual Conference & Exposition

Authors

Alyson G. Eggleston, Pennsylvania State University; Robert J. Rabb P.E., Pennsylvania State University

Tagged Divisions

Computers in Education Division (COED)

severaldimensions—formality, level of detail, conciseness, sentence structure; and (4) serve as a tool toeducate engineering students’ on the true distinctions between human writing and LLM-sourcedtext, challenging them to find LLM-written content online (e.g., social media posts and LinkedInblogs). Using additional tools that analyze syntax (Expresso), students can become aware of theirown writing style, how it contrasts with their peers, and how to objectively alter and improvewriting tendencies that challenge readability. Below in Figure 3, modules 1-3 are presented as aseries of steps with the inclusion of experimentation and play, which are integral for truelearning. Adult learners reported adapting and adopting selected LLM-assisted

Conference Session

Computers in Education Division (COED) Track 2.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education Division (COED)

environments for higher education students studying computer programming. She is particularly interested in investigating students’ programming learning processes, exploring methods to simplify programming instruction, examining theoretical foundations for effective instructional design, and integrating artificial intelligence technologies to facilitate peer-like knowledge construction. ©American Society for Engineering Education, 2025 Analysing Feedback of an AI Tool for Formative Feedback on Technical Writing AbilitiesAbstractThis Full paper describes the use and validation of feedback provided by an AI tool to supportstudents’ technical writing abilities. The project is part of a

Conference Session

Computers in Education Division (COED) Track 6.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ryan Edward Dougherty, United States Military Academy; Maria R. Ebling, United States Military Academy

Tagged Divisions

Computers in Education Division (COED)

follow-oncourses in our CS curriculum: a similar writing assignment in an Operating Systems (OS)course, and both written reports and formal presentations in a two-semester capstone course.We found that participation in ToC had a significant effect on the OS course’s outcomes,and similarly was a significant predictor for those of the capstone courses. OS course par-ticipation was an accurate predictor of capstone course performance, and similarly the firstsemester of capstone accurately predicted the second. Additionally, we found that peer re-viewing in ToC predicted OS writing performance and that the final ToC presentation waspredictive of capstone’s presentation scores. These results suggest that specific elements ofprior instruction for

Conference Session

Teaching with ML and Generative AI

Collection

2024 ASEE Annual Conference & Exposition

Authors

Bobby F Hodgkinson, University of Colorado Boulder; Nathan Eric Whittenburg, University of Colorado Boulder

Tagged Divisions

Computers in Education Division (COED)

customer feedback data on Amazon, categorizing opinions into positive,negative, and neutral sentiments, showcasing its utility in understanding customer perceptions. Inthe context of academic peer reviews, Kim and Calvo [4] introduced a method for summarizingfeedback in academic essay writing, employing sentiment score-based techniques to analyzereviews written by engineering students, highlighting the application of sentiment analysis ineducational settings. Finally, Wang and Wan [5] focused on sentiment analysis of peer reviewtexts for scholarly papers, proposing a multiple instance learning network with an abstract-basedmemory mechanism to predict overall recommendations and identify sentiment polarities in peerreview texts, thereby

Conference Session

COED Programming Education 1: Students, Motivation, and Mastery

Collection

2023 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education Division (COED)

offering programming courses for non-CS major students as an ongoing challenge,in this paper, we present our blended approach to design an introductory Python programmingcourse for students with non-CS majors. Also, as the course was designed for non-CS majorswith diverse students from different academic backgrounds, it is imperative to hear from non-CSmajor students’ perspective on the course and use their feedback for effective course changes andcontinuous improvement.Keeping the blended approach, the instructor used various approaches in the courses forenhancing student engagement including 1) lecture in various forms including pre and postreading materials, live coding, and discussions, 2) informal student interaction with instructorand peer

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

Tagged Topics

Diversity

Tagged Divisions

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

Computers in Education Division (COED) Track 3.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Xiangqun Zhang, Syracuse University; Ziyang Jiao, Syracuse University; Farzana Rahman, Syracuse University; Bryan Kim, Syracuse University

Tagged Divisions

Computers in Education Division (COED)

American Association of Colleges and Universities to develop effective pedagogy in undergraduate computer science (CS) education. She is the winner of the NCWIT Extension Services (NCWIT ES-UP) award, ABI Systers PIO (Pass-It-On) award, Google ExploreCSR Award, and NCWIT educator award. She published numerous peer-reviewed articles in venues, including the Special Interest Group of the Association of Computing Machinery (ACM SIGCSE), IEEE RESPECT, and IEEE Frontiers in Engineering Education, American Society for Engineering Education (ASEE) conference. She has received funding from different funding agencies research and mentoring initiatives directed toward developing effective pedagogy in undergraduate computer

Conference Session

Computers in Education Division (COED) Track 4.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Xiuhua Si, California Baptist University; Keith Hekman, California Baptist University; Jinxiang Xi

Tagged Divisions

Computers in Education Division (COED)

Paper ID #47485Enhancing Engineering Learning through MathCADDr. Xiuhua Si, California Baptist University Dr. Xiuhua (April) Si is a Professor of aerospace and mechanical engineering at California Baptist University. Her broad research interests include engineering education, thermal fluid science, and composite materials application. She has published over fifty peer-reviewed journal and conference papers and had multiple presentations at engineering conferences and meetings.Dr. Keith Hekman, California Baptist University Dr. Keith Hekman is a full professor in Mechanical Engineering. He has been at California Baptist

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) Track 4.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Reine Azzi, Lebanese American University

Tagged Divisions

Computers in Education Division (COED)

will beshared in the study) also expose students to another aspect of the pedagogical framework: Amindful awareness of the AI Usability Spectrum. For instance, while Bloom’s revised taxonomyis instrumental in the creation of Human-AI learning outcomes and course content, theframework also encourages faculty to reflect upon the AI Usability Spectrum. To maintainacademic integrity and embrace the full use of Human-AI learning, faculty can engage studentsin the learning process, determining the ‘right’ amount of AI usage for every task. This practiceincludes breaking down tasks into categories pertaining to writing, critical thinking, and researchwhile classifying AI use into low, medium, and high intensity. This interactive processintroduces

Conference Session

Programming Education 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education Division (COED)

coding is aninstructional activity where the instructor thinks aloud as they write code in real-time in frontof the students [9], [10]. Live coding facilitates students' understanding of coding and allowsthem to learn debugging a good programming practice from the instructor [11]. Priorliterature has found that most students in introductory programming courses view live codingpositively and often prefer it over static instructional activities [12], [13]. However,depending on how it is conducted, live coding can become a passive activity for students [9].Previous research findings report that during passive live coding, students may disengage,feel disoriented, or struggle to keep up with the instructor [14], [15].To overcome the passive attention

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

COED Programming Education 1: Students, Motivation, and Mastery

Collection

2023 ASEE Annual Conference & Exposition

Authors

Thomas Rossi, Penn State Behrend; Paul C. Lynch, Penn State Behrend

Tagged Divisions

Computers in Education Division (COED)

the instructorneeds to move between students quickly or even worse…students may “fall through the cracks”as demand for help outpaces the instructor resources available. The result is students leaving labwith knowledge gaps regarding the topic that prevent them from creating a solid foundation onwhich to build their basic programming knowledge. Even worse is the fact this approach teachesstudents when they are handed a programming task to dive straight to code as fast as possiblewhich may not be consistent with how they will work in industry.The goal of this paper is to outline a new paradigm for structuring the lab period which teachesstudents how to work with peers to solve a problem, think before they code, and build conceptualunderstanding

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Brayan A Díaz, North Carolina State University; Kevin Han, North Carolina State University

Tagged Divisions

Computers in Education Division (COED)

class size fluctuates between 7 and 45 students, and thecourse is offered every spring semester. The iterations of the course were analyzed under a multi-casestudy to assess the effectiveness of the different approaches used for EDM courses.Data sourcesClass observation. Extensive data collection was made throughout the course. Every class of bothsemesters had at least one well-trained evaluator taking a class on the student interaction and dynamic ofthe class. Each class observation was documented in a memo, capturing general information such as dateand class topic and insights into class dynamics, student participation, and emerging themes recordedbased on CoP concepts. For example, write down instances where students demonstrated

Conference Session

Computers in Education Division (COED) Track 2.D

Collection

2025 ASEE Annual Conference & Exposition

Authors

Maryam Khalid Multani, University of Florida; Laura Melissa Cruz Castro, University of Florida

Tagged Divisions

Computers in Education Division (COED)

, enhancing intrinsicmotivation.Social Constructivist Phase: The final phase integrates social learning, where studentscollaborate and engage in discussions and group activities. This phase uses the social features ofthe LMS to enrich learning through peer interactions and community feedback, solidifying theknowledge constructed in earlier phases.MethodsTo address the research questions, we will use a systematized literature review according to thePRISMA framework as proposed by [8]. Therefore, the stages are the following. First, we foundalternative terms used for chatbots and Learning Management Systems and formed queries forour searches in the databases. Next, we consulted the databases ERIC, Compendex, INSPEC,Scopus, Web of Science, and ACM

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Nicholas Cameron Amely, California State University, Fresno; Wei Wu, California State University, Fresno; Jesus Leyva, California State University, Fresno

Tagged Divisions

Computers in Education Division (COED)

evaluation andlearning assessment with peer students in ECE. As a proof of concept, this paper explored howstudent-led development of VR content and experience might offer a solution to a commonobstacle faced by many STEM educators who are interested in exploring VR, which is the lackof readily adoptable VR content. This study contributes to better understanding the role andimpacts of learner-as-creator/co-creator in engaging student learning in educational technology-integrated learning environments.1. Introduction & backgroundThe objective of this study was to explore student-led development of virtual reality (VR)applications as an alternative solution to enhance student learning and engagement in the field ofelectrical and computer

Conference Session

Robotics and Circuits

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kathryn Lara Wujciak, Tufts University; Briana M Bouchard, Tufts University; Chris Buergin Rogers, Tufts University

Tagged Divisions

Computers in Education Division (COED)

improving problem-solving skills, critical thinking, monitoring one’s own progress, or goal-setting [1], [3]. Forexample, an instructor might provide a worksheet where the student writes weekly goals to helpdevelop their goal-setting skills. The student may learn how to effectively set goals which couldhelp in many areas of learning. Domain-specific scaffolding is instructional guidance that isspecific to one domain [1], [3]. It aims to make understanding complex concepts in that domainmore attainable. For example, in a computer science environment, it could look like “fill-in-the-blank” code or black-boxing code. There are many techniques within scaffolding, and below wewill detail those relevant to our course.On an individual level, scaffolding

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

MALEK EL KOUZI, Queen's University; Omar I.M Bani-Taha, Carleton University; Richard Reeve, Queen's University

Tagged Divisions

Computers in Education Division (COED)

. The research shows that using AR and gamificationimproves young children's learning, especially in alphabet writing [14]. Also,Thompson et al. conducted a comprehensive, multi-year study to identify andcharacterize educational Augmented Reality environments suitable for students ofvarious ages and skill levels. Throughout the research, the students, parents, andteachers actively collaborated to plan, construct, and enhance six AR prototypes. Basedon their student’s positive outcomes, these kinds of software can be used in classrooms.[15]. Students need to be active participants in their learning, fully engaged inexploring the various aspects of 21st-century education. Moreover, there is a necessityto enhance the demanded qualifications

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Christopher Allen Calhoun, University of Cincinnati; David Reeping, University of Cincinnati; Siqing Wei, University of Cincinnati; Aarohi Shah, University of Cincinnati

Tagged Divisions

Computers in Education Division (COED)

focus of the literature. Within the first monthsof its launch, it was found that ChatGPT could pass law school exams, though it only managed aC+ [20]. This is just one example of the deluge of papers describing how large language modelscan perform reasonably well on traditional examinations (e.g., [21], [22], [23], [24], [25]). Thesemodels are trained using large and diverse sets of writing and employ statistical procedures topredict a response to a statement or question, which can lead to surprising coherence and theappearance of analytical reasoning.In STEM fields, where communication is less in written short responses and more often acombination of diagrams and equations, generative AI tools have seen uneven success in problem-solving. For

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

Tagged Topics

Diversity

Tagged Divisions

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

COED: Skills for Moving from Computing Student to Professional

Collection

2023 ASEE Annual Conference & Exposition

Authors

Mary Kay Camarillo, University of the Pacific; Elizabeth Basha, University of the Pacific

Tagged Divisions

Computers in Education Division (COED)

pedagogy literature for guidance.Students’ struggles with programming and data analysis are not new. In the 1990s active learningin computer science consisted of mini-lectures, handouts containing work-out examples, andclass time where students worked independently on projects [7]. This popular method of teachingprogramming evolved over time with new strategies being suggested and tested [8,9]. One suchmethod is pair programming where students work in pairs at a single computer and periodicallyswitch seats and roles [8]. Another method is live coding where the professor writes code in frontof the class while interacting with students [10]. In addition to challenges in teachingprogramming, teaching statistics has its own challenges and

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 6.D

Collection

2025 ASEE Annual Conference & Exposition

Authors

Bahar Memarian, Arizona State University ; Shawn S. Jordan, Arizona State University

Tagged Divisions

Computers in Education Division (COED)

the learning side by developing an Integrated Engineering foundational course withwhat the authors call a “combination of variation theory and capability theory, content framed interms of threshold concepts, and delivery using cooperative peer learning method[s]” (p. 1) [9].Lin and Low have recently proposed an Integrated Engineering Education Alignment Model forIndustry 4.0. The authors report that the integrated alignment model nurtures synergy amongEngineering Education activities such as applied learning, applied research, and continuouseducation training (CET) programs to share a common Industry 4.0 vision with diversestakeholder groups such as students, faculty, industry partners, and recipients of CET programs.The authors use the

Conference Session

Computers in Education Division (COED) Track 6.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Aimee Allard, North Carolina State University at Raleigh

Tagged Divisions

Computers in Education Division (COED)

Paper ID #48079A Survey of Task Planning: Pre- and Post-Assessment of a Project ManagementActivity in the Computer Science Senior CapstoneAimee Allard, North Carolina State University at Raleigh Dr. Aimee Allard is a member of the Senior Design Center faculty in the Department of Computer Science at NC State. As the Communications Coordinator and an instructor in Senior Design, she works with students on writing- and communications-based milestones: task planning, documentation, reports, design strategies, presentations, and more. She is passionate about Senior Design because not only do students gain real-world experience

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

Computers in Education Division (COED) Track 4.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Hossein Jamali, University of Nevada, Reno; Andrew L DeBolt; Henry Dalton, University of Nevada, Reno; Jenavieve K Layosa, University of Nevada, Reno; Ilana Rose Macy; Ponkoj Chandra Shill, University of Nevada, Reno; David Feil-Seifer, University of Nevada, Reno; Frederick C Harris, University of Nevada, Reno; Sergiu Dascalu, University of Nevada, Reno; Rui Wu, East Carolina University

Tagged Divisions

Computers in Education Division (COED)

Paper ID #47284FORE: A Student-Centered Framework for Accessible Robotics Educationthrough Simulation and Interactive LearningHossein Jamali, University of Nevada, Reno Hossein Jamali is a PhD student at the University of Nevada, Reno, focusing on Human-Computer Interaction, Artificial Intelligence, and Cloud Computing. His research encompasses a range of interdisciplinary topics, including AI-driven recommender systems and resource management algorithms. Hossein has authored several peer-reviewed papers in leading conferences and journals and has actively contributed to advancing AI and optimization techniques. His work

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

Tagged Topics

Diversity

Tagged Divisions

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