Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education Division (COED)

parts of work easierand quicker to complete, allowing me to spend more time on other parts of projects”.One participant shared another recurrent aspect of efficiency: while students want to completework faster, they want to do so in a way that also improves their learning “Able to quickly send me back to the correct path to finding the right answer. Generally in math chat gpt is very inaccurate but can show you the steps you need to take in order to get the right answer when I am stuck on a problem”This fits the current literature that learning efficiency is related to improvement in performanceand time [29]. This evidence of a disconnect between academic and colloquial definitions ofefficiency prompted a need to ask about participants

Conference Session

Simulations and Virtual Learning

Collection

2024 ASEE Annual Conference & Exposition

Authors

David J Gagnon, Field Day Lab @ UW-Madison; John M. Pfotenhauer, University of Wisconsin, Madison; Arganthael Berson, University of Wisconsin, Madison; Luke Swanson, University of Wisconsin, Madison

Tagged Divisions

Computers in Education Division (COED)

presents a significant issue for assessment. How is aneducator able to formatively identify student misconceptions precisely, accurately and quicklywhen the topic is so complex?The result is that a troublesome percentage of students fail the course or drop their engineeringmajor because of the class. For example, a study across 55 offerings of introductorythermodynamics over eight years and nine instructors at the University of Texas, San Antonio,reports that only 52.7% of course enrolments led to completion, with subsequent attempts havinglower rates than initial attempts [6].In this Work in Progress paper, we describe a project to develop a fine-grained assessment ofcore thermodynamic concepts embedded within an interactive simulation

Conference Session

Computers in Education Division (COED) Track 2.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Venkata Alekhya Kusam, University of Michigan - Dearborn; Zheng Song, University of Michigan - Dearborn; Khalid Kattan, University of Michigan - Dearborn; Bruce R Maxim, University of Michigan - Dearborn

Tagged Divisions

Computers in Education Division (COED)

has over 20 of industrial experience. He is passionate about AI and its impacts in learning.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, social media, artificial intellig ©American Society for Engineering Education, 2025 Evaluating the Effectiveness of Generative AI for Automated Quiz Creation: A Case Study Venkata Alekhya Kusam, Zheng Song, Bruce Maxim, Khalid Kattan {alekhyak

Conference Session

COED: Computing in K-12 / Early Childhood Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Safia A. Malallah, Kansas State University; Lior Shamir, Kansas State University; William Henry Hsu, Kansas State University; Joshua Levi Weese, Kansas State University; Salah Alfailakawi, Kansas State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Paper ID #40242Data Science (Dataying) for Early ChildhoodDr. Safia A. Malallah, Kansas State University Safia Malallah is a postdoc in the computer science department at Kansas State University working with Vision and Data science projects. She has ten years of experience as a computer analyst and graphic de- signer. Besides, she’s passionate about developing curriculums for teaching coding, data science, AI, and engineering to young children by modeling playground environments. She tries to expand her experience by facilitating and volunteering for many STEM workshops.Lior Shamir, Kansas State University Associate

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Marshall Ismail, Worcester Polytechnic Institute; Devin Kachadoorian, Worcester Polytechnic Institute; Sahil Mirani, Worcester Polytechnic Institute; D. Matthew Boyer, Clemson University; Tim Ransom, Clemson University; Ahmet Can Sabuncu, Worcester Polytechnic Institute

Tagged Divisions

Computers in Education Division (COED)

classroom learning as they are incentivized tofind the answer using materials and the structured support provided by technology. Thus, havinga techhat is built off of resources meant to push students to learn actively is beneficial for a classthat requires constant engineering troubleshooting to succeed. In response to these challenges, this study explores the integration of artificialintelligence (AI) as an innovative tool to support laboratory-based mechanical engineeringeducation. Specifically, we developed an AI chatbot designed to provide immediate, on-demandassistance in engineering experimentation classes. These courses instruct students on usingengineering concepts in laboratory experimentation through project experimentation

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)

. and L. Douglas Meredith Program’s Teaching Recognition Award in 2024, and College Educator of the Year award by Technology Alliance of Central New York in 2023. Central to her teaching approach is an active-learning style, which pairs hands-on programming exercises with challenging projects that demand students to cultivate skill in problem solving, debugging and software engineering in general. She is dedicated towards creating equitable education and learning experiences for all students by providing educational opportunities that are inclusive to–and supportive of– women, genderqueer, non-binary, and underrepresented and minority (URM) students. As a diversity spokesperson of the department, Dr. Rahman

Conference Session

COED: Cybersecurity Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Sai Sushmitha Sudha; SaiSuma Sudha; Ahmad Y. Javaid, The University of Toledo; Xiaoli Yang

Tagged Divisions

Computers in Education Division (COED)

specifically to him. Out of this ˜$12m, ˜$5.45M has been allocated to the University of Toledo. These projects have been funded by various agencies including the NSF (National Science Foundation), AFRL (Air Force Research Lab), NASA-JPL, Department of Energy, and the State of Ohio. He also played a critical role in the cultivation of a private gift to support the CSTAR lab for cyber security research. He has published more than 90 peer-reviewed journal, conference, and poster papers. He has also served as a reviewer for several high impact journals and as a member of the technical program committee for several reputed conferences.Xiaoli Yang ©American Society for Engineering Education, 2023

Conference Session

COED: Spotlight on Diverse Learners

Collection

2023 ASEE Annual Conference & Exposition

Authors

Heidi Huang, University of Michigan, Ann Arbor; Kevin Yan, University of Michigan, Ann Arbor; Andrew Deorio, University of Michigan, Ann Arbor

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Michigan, Ann Arbor Andrew DeOrio is a teaching faculty member at the University of Michigan and a consultant for web and machine learning projects. His research interests are in engineering education and interdisciplinary computing. His teaching has been recognized with the Provost’s Teaching Innovation Prize, and he has twice been named Professor of the Year by the students in his department. Andrew is trying to visit every U.S. National Park. ©American Society for Engineering Education, 2023 Office Hours, Demographic Groups and COVID Heidi Huang*, Kevin Yan*, Andrew DeOrio Department of Electrical Engineering and

Conference Session

Simulations and Virtual Learning

Collection

2024 ASEE Annual Conference & Exposition

Authors

J Cecil, Oklahoma State University

Tagged Divisions

Computers in Education Division (COED)

Virtual Learning Environment (VLE) 3) Build the VLEs 4) Collect Feedback and Modify VLEs( Test and Validate the VLE content) 5) Perform Learning Interactions and Assess Learning outcomes. Figure 1 c: The main phases in the creation of the VLEs and the assessment tasks (from [29]).The project team includes the instructor (or knowledge source), the software engineering team(who designs and builds the VLEs) and an educational assessment expert. In the first phase, theinstructor identifies the learning objectives specific to the students in the course. Subsequently, acollaborative team of experts, VLE designers, and education assessment specialists design anddevelop the VLE under the supervision of the instructor in phases 2, 3

Conference Session

Computers in Education Division (COED) Track 5.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Audrey Marie DeHoog, University of Florida; Jeremiah J Blanchard, University of Florida; Amy Wu, University of Florida; John R. Hott, University of Virginia

Tagged Divisions

Computers in Education Division (COED)

instructors surveyed, 31.25% reported nocollaboration and 68.75% reported required at least some collaboration. None of the non-STEMinstructors reported optional collaboration (Table 13).Those who reported having no collaborative project work were asked for their reasoning for theirdecision. Of those instructors, 23.33% claim collaboration makes fair grading difficult, 23.33%claim collaboration facilitates cheating, and 16.67% claim students learn better individually. Theremaining 36.67% cite other reasons for not including collaboration in their course (Table 14).While there are a variety of other reasons instructors do not allow collaboration, one of therecurring themes is the inability to gauge individual performance in group projects and how

Conference Session

Computers in Education Division (COED) Track 5.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Russell Feldhausen, Kansas State University; Nathan H Bean, Kansas State University; Joshua Levi Weese, Kansas State University; David S. Allen, Kansas State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

, including several rural districts primarily serving African-American students. Theymeasured student interest and confidence in CS, and most of the responses averaged 3.5 -4.0 on a 5-point Likert scale [28]. Hu et al. described a similar project that brought ECS tostudents in Utah in 2016 and also included many rural schools [29]; unfortunately, no studentdata was presented in that article.2.2 RuralMuch of the existing research regarding rural participation in CS uses a location-basedapproach to determine what constitutes rural vs. non-rural, but often definitions are notclearly defined. Alas, there are many competing definitions of what it means to be “rural” ineducation.The United States Department of Agriculture (USDA) distinguishes metro

Conference Session

Programming Education 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mariza Tsakalerou, Nazarbayev University; Michalis N. Xenos, University of Patras; Semira Maria Evangelou, University of Patras

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

discovered my passion for UX design and the importance of that field. I am software engineering, who loves exploring complex projects in search of delightful user experiences. I am currently a Ph.D. candidate at the University of Patras and my research interests are mainly focused on Human-Computer Interaction (HCI). ©American Society for Engineering Education, 2024 Unlocking the Secrets of Student Success in Low-Code Platforms: An In-Depth Comparative Analysis Mariza Tsakaleroua, Semira Maria Evangeloub, Michalis Xenosb a School of Engineering and Digital Sciences, Nazarbayev University, Kazakhstan b

Conference Session

Computers in Education Division (COED) Track 2.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Trini Sofia Balart, Texas A&M University; Sidney Katherine Uy Tesy, Texas A&M University; Kristi J. Shryock, Texas A&M University

Tagged Divisions

Computers in Education Division (COED)

overcome barriers to adoption, faculty development initiatives must focus on buildingeducators' confidence and competence in using GenAI tools. Programmatic efforts might includeworkshops, case studies, and collaborative projects that demonstrate the practical applications ofAI in enhancing durable skills. Additionally, investing in creating supportive infrastructures,including technical resources and ongoing professional development opportunities, is essentialfor institutions [7], [8].Practical Recommendations To optimize the integration of GenAI in engineering education, specific pedagogicalapproaches must be explored and supported. Among these, project-based learning (PBL) androles-based competency frameworks stand out as promising

Conference Session

Computers in Education Division (COED) Track 4.E

Collection

2025 ASEE Annual Conference & Exposition

Authors

Michael Thomas Vaccaro Jr, University of Connecticut; Mikayla Friday, University of Connecticut; Zeynep Gonca Akdemir-Beveridge, University of Connecticut; Arash Esmaili Zaghi P.E., University of Connecticut

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

been supported by his major advisor’s NSF MCA project and a transdisciplinary NSF Research Traineeship (TRANSCEND). Michael’s engineering education research explores artificial intelligence’s potential in K-12 science education, particularly in developing personalized learning environments.Mikayla Friday, University of Connecticut Mikayla is a second-year PhD student studying Engineering Education at the University of Connecticut.Dr. Zeynep Gonca Akdemir-Beveridge, University of Connecticut Zeynep G. Akdemir-Beveridge is a Postdoctoral Research Associate at the University of Connecticut. Her current research focuses on exploring the creative productivity of engineering students and promoting strength-based

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Zifeng Liu, University of Florida; Yukyeong Song, University of Florida; Qimao Yang, University of Florida; Wanli Xing, University of Florida; Jing Guo, University of Florida

Tagged Divisions

Computers in Education Division (COED)

education, with some promising yetcontext-specific findings. For instance, Hughes et al. [12] introduced a QC course aimed atbridging the gap between popular science articles and advanced undergraduate textbooks throughinteractive problem sets and simulation-based labs for active learning. However, their targetaudience consisted primarily of high school students. Similarly, Uhlig et al. [13] reported on agroup project in a cybersecurity course that sparked significant interest in QC among graduatestudents, motivating them to delve deeper into this complex subject.Other studies have focused on adapting QC education for undergraduate students without aphysics background. Carrascal et al. [14] demonstrated the effectiveness of using

Conference Session

Computers in Education Division (COED) Track 2.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Tammy Mackenzie, The Aula Fellowship; Lisa D. McNair, Virginia Tech; Rubaina Khan, University of Toronto; Animesh Paul, University of Georgia; Sreyoshi Bhaduri, Private Corporation

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

developing interdisciplinary project-based learning experiences, building networks between university, industry, and community sectors, and expanding engagement in science, engineering, arts, and design. McNair’s current projects include building the Interdisciplinary Projects (IDPro) program and a 3D manufacturing module series in undergraduate engineering at Virginia Tech, framing the da Vinci Cube innovation model, and co-designing tools with communities for collaboration on Alaska housing issues. She earned a PhD in Linguistics at the University of Chicago, and an M.A. and B.A. in English at the University of Georgia.Rubaina Khan, University of Toronto Rubaina Khan is a research associate in Queens University and a

Conference Session

COED Programming Education 2: Instructional Approaches

Collection

2023 ASEE Annual Conference & Exposition

Authors

Timothy James, Purdue University, West Lafayette ; Alejandra J. Magana, Purdue University at West Lafayette

Tagged Divisions

Computers in Education Division (COED)

. Allowing students theopportunity to gain confidence in their ability by quickly learning coding andapplying introductory programming concepts could help them to master theseconcepts more quickly and defer programming environment set up to a later date.Accelerating the learning of programming may help to offset future needs, asgrowth in software development jobs is projected to significantly outpace growthin instructional jobs in computer science. This study implemented two versions ofthe same course content in self-paced and instructor-led formats. The instructor-led format included the delivery of online lectures combined with examples andpractice exercises. This was considered a more traditional approach wherestudents were taught using slides

Conference Session

COED Modulus Topics

Collection

2023 ASEE Annual Conference & Exposition

Authors

Mahmud Hasan, University of Houston, Downtown

Tagged Divisions

Computers in Education Division (COED)

were able to use the software in the class room and were able to practice the Fallsimulations using the VR (Virtual Reality) headset/sunglass by their own. The PICO Neo-2 VRHeadset with Controller was used to visualize, direct, move etc. purposes inside the virtualworld. The Miracast Dongle wifi adapter was used as the software had projection capability fromclassroom computer using overhead projector to show the students in the classroom how thingswere inside the VR world for instruction purposes.4. Descriptions of the Overview of Learning and Training Sequences: The learning objectives from this software were: identify major Fall hazards, describe typesof Fall hazards, protect everyone from these Fall hazards, recognize employer

Conference Session

Computer-Supported Pedagogy and Assessment

Collection

2024 ASEE Annual Conference & Exposition

Authors

Zulal Sevkli, Miami University

Tagged Divisions

Computers in Education Division (COED)

contrast, the Spring semesters see a more varied mix ofsophomore, junior, and senior students from both the Computer Science and Electrical andComputer Engineering majors. Student performance has been evaluated through variousassessments, each contributing to the final grade:- Reading assignments (20%)- Lab assignments (20%)- Project assignments (20%)- In-class exams (20% for in-semester, 20% for the final exam)Students utilize an interactive online textbook zybook [16] which contains many small programsand short formative reading assessments. Fourteen reading assignments are distributedthroughout the semester.Students attend mandatory 2-hour lab sessions each week, working on practical assignments inpairs under the

Conference Session

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

Collection

2025 ASEE Annual Conference & Exposition

Authors

Muhammed Yakubu, University of Toronto; Jasnoor Guliani, University of Toronto; Nipun Shukla, University of Toronto; Dylan O'Toole; Hamid S Timorabadi P.Eng., University of Toronto

Tagged Divisions

Computers in Education Division (COED)

Paper ID #46477BOARD #101: Work In Progress: Enhancing Active Recall and Spaced Repetitionwith LLM-Augmented Review SystemsMr. Muhammed Yakubu, University of Toronto Final year Computer Engineering Student at the University of TorontoMr. Jasnoor Guliani, University of TorontoMr. Nipun Shukla, University of Toronto Final year student at the University of Toronto.Dylan O’TooleDr. Hamid S Timorabadi P.Eng., University of Toronto Hamid Timorabadi received his B.Sc, M.A.Sc, and Ph.D. degrees in Electrical Engineering from the University of Toronto. He has worked as a project, design, and test engineer as well as a consultant to

Conference Session

Computers in Education Division (COED) Track 4.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Julian Ly Davis, University of Southern Indiana; Bradley Lane Kicklighter P.E., University of Southern Indiana

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

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

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)

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

Conference Session

Computers in Education Division (COED) 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)

FIE, ICER, and ASEE, and brings years of teaching experience in software engineering and foundational computing courses.Dr. Mohsen M Dorodchi, University of North Carolina at Charlotte Dr. Dorodchi has been teaching in the field of computing for over 35 years of which 25 years as an educator. He has taught the majority of the courses in the computer science and engineering curriculum over the past 25 years such as introductory programming, data structures, databases, software engineering, system programming, etc. He has been involved in a number of National Science Foundation supported grant projects including Scholarship for STEM students (S-STEM), Researcher Practitioner Partnership (RPP), IUSE, and EAGER

Conference Session

COED Programming Education 1: Students, Motivation, and Mastery

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ryan Parsons, Western Washington University; Qiang Hao, Western Washington University; Lu Ding, University of South Alabama

Tagged Divisions

Computers in Education Division (COED)

independence, increasing self-efficacy gains,and reinforcing a growth mindset [16]. By taking time to cover the general problem solving stagesin class, they reduced the amount of students stuck in the design process that didn’t know how toapproach solving a problem by 2.3%. Additionally, Loksa and Ko explored how self-regulationimpacts student success on programming projects [5]. In their think-alouds, they found that themajority of participants explicitly verbalized planning. Only two of their participants from a CS1course did not mention planning. They noted that the more participants mentioned planning andcomprehension monitoring, the fewer errors the participants tended to have, indicating that havingstudents focus more on planning stages of

Conference Session

Robotics and Circuits

Collection

2024 ASEE Annual Conference & Exposition

Authors

Carl Joseph Murzynski, Pennsylvania State University, Behrend College; Hussein - Abdeltawab, Wake Forest University; Omar Ashour, Pennsylvania State University, Behrend College; Ahmed Sammoud, Pennsylvania State University, Behrend College

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Paper ID #41349Constructing Reconfigurable and Affordable Robotic Arm Platform to TeachRobotics and AutomationCarl Joseph Murzynski, Pennsylvania State University, Behrend College Carl Murzynski is an undergraduate student in Electrical Engineering at Pennsylvania State University, The Behrend College. He specializes in robotics and automation, actively contributing to research projects aimed at advancing these fields.Dr. Hussein - Abdeltawab, Wake Forest UniversityDr. Omar Ashour, Pennsylvania State University, Behrend College Dr. Omar Ashour is an Associate Professor of Industrial Engineering at Pennsylvania State University

Conference Session

Programming Education 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Tyler James Stump, The Ohio State University; Abbey Darya Kashani Motlagh, The Ohio State University; Krista M Kecskemety, The Ohio State University

Tagged Divisions

Computers in Education Division (COED)

smoothly for educators and students.This gap in the literature of considering student experiences when engaging with PPs is criticalas it highlights the features of PPs to be considered when developing and implementing theminto the classroom. As such, this project seeks to understand two primary objectives ofunderstanding the types of features in PPs that impact student experiences and secondly tounderstand the salience and/or prevalence of these student experiences to prioritize theoptimization of the activities by each of feature. Thus, the project works to answer the followingresearch questions: (1) What are the features of Parsons Problems that impact student’sexperiences when engaging with the activity? and (2) How can researchers and

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

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

(see Fig. 1a) and total enrollments (see Fig. 1b).Excluding the academic year (AY) 2020-2021 during the COVID-19 pandemic, AY 2022-2023highlights our largest enrollment with approximately 15,000 students from over 50 courses takingexams each semester in the CBTF. During Fall 2023, the CBTF also administered a recordnumber of exams, recording over 90,000 reservations. The ability to support the growing numberof students and courses utilizing the CBTF is made possible through operating three dedicatedtesting facilities that offer testing sessions ten hours each day, seven days a week. We project thatthe utilization of our labs will continue to grow as we bring a fourth testing facility online inSpring 2024 in partnership with the College of

Conference Session

Computers in Education Division (COED) Track 4.E

Collection

2025 ASEE Annual Conference & Exposition

Authors

Kyrie Zhixuan Zhou, University of Texas at San Antonio; Chunyu Liu, University of Illinois Urbana-Champaign; Yunqi Li, University of Illinois Urbana-Champaign; Devorah Kletenik, Brooklyn College, City University of New York; Rachel F. Adler, University of Illinois Urbana-Champaign

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

. According to Kang et al., the following learning objectives were importantfor accessibility education [25]: (1) understanding fundamental principles of inclusive design, (2)interacting with diverse people, (3) showing increased empathy towards people with disabilities,(4) viewing accessibility from cultural, social, and legislative perspectives, and (5) showingmotivation to continuously learning about accessibility.Accessibility has been taught in various college contexts, such as human-computer interaction(HCI) [26]–[30], software engineering [31], [32], web design [33], and non-CS [34] courses.Both traditional pedagogical methods, such as lectures [3] and projects [35], and novel ones, suchas experiential labs [6] and games [7] have been utilized

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Yael Gertner, University of Illinois Urbana-Champaign; Juan Alvarez, University of Illinois Urbana-Champaign; Benjamin Cosman, University of Illinois Urbana-Champaign; Jennifer R Amos, University of Illinois Urbana-Champaign

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

well in the course. We foundthat over all students who spend more time do not do better in the course perhaps becausetheir time is not spent effectively. Yet, students who spend more time on practice examsperformed better in the class. This is especially true for students who come into the coursewith low expectation to do well. In future work, we plan to examine how we might turn thisinformation into an intervention.5 AcknowledgementsWe would like to acknowledge the Grainger College of Engineering Strategic InstructionalInitiatives (SIIP) program for the funding for this project. We would also like to thank ourSIIP Education Innovation Fellow, Ashlynn Stillwell, for her guidance and support.References[1] E.L. Deci and R.M. Ryan. 2012. Self

Conference Session

Computer-Supported Pedagogy and Assessment

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ira Harkness, University of Florida; Justin Watson

Tagged Divisions

Computers in Education Division (COED)

Engineering Education, 2024 Improving Efficiency and Consistency of Student Learning Assessments: A New Framework Using LaTeXAbstractInstructors often rely on What-You-See-Is-What-You-Get (WYSIWYG) word processorapplications like Microsoft Word to create student learning assessments such as homeworkassignments and exams. The shortcomings in this traditional method led to the authors’motivation to develop a better method. This project focuses on the development, usage,evaluation, and dissemination of a student learning assessment system based on LaTeX, adocument preparation system commonly used for scientific documents. We call it the StudentLearning Assessment Modular System (SLAMS). With this system, educators