Conference Session

Computers in Education Division (COED) Track 3.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Randy McDonald, Texas A&M University; Salvatore Enrico Paolo Indiogine; Nasiha Lachaud, Texas A&M University; Wei Lu, Texas A&M University; Mohammad Affan Khokhar

Tagged Divisions

Computers in Education Division (COED)

Paper ID #47279Perceptions on the Effectiveness of Using Generative AI and Voice Cloning toAid in the Development of Online Course MaterialsDr. Randy McDonald, Texas A&M University Dr. Randy McDonald is the Director of Learning Design and Distance Education for the College of Engineering at Texas A&M University where he leads a design team in the development of online programs. Dr. McDonald has more than thirty years of experience collaborating with faculty, staff, professional educators, and students to help them reach their academic and career goals and is a leader in supporting the use of innovative methods and

Conference Session

Computers in Education Division (COED) Best of CoED Paper Session (Track 1.B)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Rose Thompson, Oklahoma State University; David L Harris, Harvey Mudd College; James Stine Jr., Oklahoma State University; Sarah L Harris, University of Nevada - Las Vegas

Tagged Divisions

Computers in Education Division (COED)

, focusing on computer architecture and processor design only.We first focus on the senior/master’s-level course, which was taught three times at Harvey MuddCollege (Mudd) and twice at Oklahoma State University (OSU). The Mudd course was taughtonce per year from 2023-2025 to 13, 5, and 35 students in each course; the OSU course wastaught once per year from 2023-2024 to 16 and 18 students. Table 4 shows the syllabus for thisadvanced course. The students were expected to have a basic understanding of digital design,HDLs – ideally SystemVerilog or Verilog, and computer architecture. For example, they wereexpected to understand the topics covered in [5].Table 4. Course Syllabus Week Topic

Conference Session

Computers in Education Division (COED) Track 6.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sandra Monika Wiktor, University of North Carolina at Charlotte; Mohsen M Dorodchi, University of North Carolina at Charlotte

Tagged Divisions

Computers in Education Division (COED)

curriculum. Within the primary labels, weinclude subcategories of proficiency, structural, and other. Proficiency issues relate to skills andknowledge students need to fulfill course objectives. Structural issues involve the design of thecourse or course materials. Within the secondary challenges category are the grading and self cat-egories. The grading subcategory refers to specific types of syllabus categories of grading, and theself refers to challenges arising from personal perception or experience. Both primary and sec-ondary labels include an other and none category, capturing miscellaneous topics and cases with p θₚ

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ahmed Ashraf Butt, University of Oklahoma; Saira Anwar, Texas A&M University; Asefeh Kardgar, Texas A&M University

Tagged Divisions

Computers in Education Division (COED)

research design approach to evaluate theeffectiveness of LLMs in assessing the LOs from STEM courses using the SMART framework.Data CollectionWe collected 30 LOs from a publicly available syllabus of courses. The selection criteria for theLOs were that they belong to a STEM course, and the syllabus should have a separate section forlearning objectives. The collected learning objectives cover programming, engineering design,and database systems courses.Evaluation CriteriaWe used the SMART as the criteria to evaluate the quality of LOs, which both the LLM modeland experts used. The SMART rubric is an evaluation criterion that assesses learning objectivesbased on five key criteria. Specific: The objective should clearly describe what students can

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)

taught and/or studied online during the transition toonline learning during the COVID-19 pandemic. This study applied both qualitative and critical research methods focusing on dialogicinquiry and praxis through a connection between action and reflection [31]. Through purposivesampling, where researches select participants to meet specific needs [12], I also sought facultymembers to cover different strata - identifying whether specific characteristics of the individualparticipants are adequately represented albeit in a smaller sample [32]. This is why the studytargeted faculty members within the Liberal Education program as it currently houses the mostdiverse courses within both Arts and Sciences. This program is also relatively new

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

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Paper ID #47465BOARD # 70: Instructor Practices for Supporting Neurodivergent Studentsin Undergraduate Computer Science Courses: Neurodivergent Faculty andStudent PerspectivesMs. Valerie Elise Sullivan, University at Buffalo, The State University of New York Valerie Sullivan is a neurodivergent graduate student research assistant in the Department of Engineering Education at the University at Buffalo working with Dr. Bonnette. She was awarded the Arthur A. Schomburg Fellowship to support her education. She graduated in the Spring of 2024 with a Bachelor’s degree in Environmental Sustainability at the University at Buffalo

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)

attendanceand citing fictitious resources. This is emphasized here as ChatGPT, like other AI bots [2], hasbeen known to “hallucinate” and generate references that do not actually exist.ISU’s Center for Excellence in Learning and Teaching also offers some draft syllabus language[25] as a faculty resource. In addition to providing other required language for course syllabi andacademic integrity, it includes a companion site containing specific language with respect to theuse of GAI [26]. Different scenarios are outlined, including when content generated by AI is notallowed; when content generated by AI is allowed but with attribution; when content is allowedbut under certain instances; and when content is allowed and encouraged broadly. This languagealso

Conference Session

Computers in Education Division (COED) Track 3.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Eric L Brown, Tennessee Technological University; Douglas A. Talbert, Tennessee Technological University; Jesse Roberts, Tennessee Technological University

Tagged Divisions

Computers in Education Division (COED)

curriculum mapping processcompared to a manual process conducted by an SME, which will be evaluated through a set of“human in the loop” experiments.To evaluate this question, the paper details the results of the following experiments involving acomputer science/cybersecurity curriculum being mapped to the CAE-CD knowledge units (KU): 1. A single SME will create a manual KU curriculum mapping. 2. Provide an LLM with full curriculum details, including catalog descriptions and syllabi, and create a mapping for a single CAE-CD knowledge unit. 3. Provide an LLM with details of all CAE-CD knowledge units and information for one course (catalog description and syllabus) and create a knowledge unit mapping for that course. 4. Provide

Conference Session

Computers in Education Division (COED) Track 3.E

Collection

2025 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education Division (COED)

-solving technique where the developer thinks aloud to an inanimate or abstracted objectand explains line by line what they are doing with code; http://lists.ethernal.org/oldarchives/cantlug-0211/msg00174.htmladvocacy and STEM careers [35, 36].Early educational live streaming research indicates that software and game development livestreams have the possibility to integrate with more mainstream online learning modalities [37].Some have taken to these platforms specifically to teach computer science courses and found thatthis might be a beneficial way for learners to explore new content and engage with educationprofessionals in their courses [38]. Live learning has shown to be beneficial for “over theshoulder” learners and those wanting to

Conference Session

Computers in Education Division (COED) Track 2.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Peter Jamieson, Miami University; Suman Bhunia, Miami University; George D. Ricco, Miami University; Brian A Swanson, Miami University; Bryan Van Scoy, Miami University

Tagged Divisions

Computers in Education Division (COED)

NA Totals 102 71.5 Table 4: LLM performance in ECE 287worth. Column 3 shows Claude’s evaluated response score, which shows whether the LLM cando it (green) or not (red). Column 4 shows the prompts level in Jamieson’s LLM prompttaxonomy presented earlier.For the letter grade mapping the instructor uses in his syllabus, we can say that the LLM forassessments would score a letter grade of a “C” for the artifacts it generates. Of note, exams I andII are done live in the classroom, but all the activities are done in the lab or out of class.5 DiscussionSo far, we have specified a method for benchmarking engineering courses for LLM chatbots. Ingeneral, we believe that engineering

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)

the teacher to have some more customizability.” In contrast, theMetavoltVR centered on specific concepts and knowledge points embedded in the coursework inthe ECE curriculum, with a clear tendency to correlate and supplement classroom learning at thecurrent institution. As students commented, “it took a syllabus type approach and… mimickedthe Electrical and Computer Engineering degree that we all go through here.” Therefore, muchcredit was attributed to MetavoltVR for its course relevancy and coursework supplementationconsiderations. Students regarded “the point of this app is also to further grasp students’attention, to interest them beyond just the course material,” and they saw a potential that“instead of teachers just lecturing from

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)

teaching an institutional reference framework for elearning in higher education.” Sustainability, 13 (4): 2023. https://doi.org/10.3390/su13042023[26] Tang, Tao, Abuhmaid, Atef M., Olaimat, Melad, Oudat, Dana M., Aldhaeebi, Maged, and Bamanger, Ebrahim. 2023. “Efficiency of flipped classroom with online-based teaching under COVID-19.” Interactive Learning Environments, 31 (22): 1077-1088. https://doi.org/10.1080/10494820.2020.1817761[27] Maloney, Patricia A., Cong, Weilong, Zhang, Meng, and Li, Bingbing. (2019, June). Assessing the Results of an Additive Manufacturing Course at Three Large Universities on Undergraduates and High School Students. 2019 ASEE Annual Conference & Exposition. Tampa