Conference Session

Cybersecurity Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Walter W Schilling Jr., Milwaukee School of Engineering

Tagged Divisions

Computers in Education Division (COED)

have fullyembraced Microsoft SSO and its credential management platform, which is good. But it alsonow requires more support from our campus infrastructure organization to allow students to usetheir credentials for Azure and to have appropriate permissions to build and deploy theirsoftware. While I am currently using Azure with my senior design projects, being exposed toAzure in the corporate environment – and the strong tenant credential management capabilitiesbuilt into the product – has really shown the true flexibility of the tool. While it was personallydisconcerting to have access to private corporate repositories in the manner I did, it was also verypromising to see what can be done with modern engineering tooling.Future

Conference Session

ML and Generative AI Tools and Policies

Collection

2024 ASEE Annual Conference & Exposition

Authors

Zifeng Liu, University of Florida; Rui Guo, University of Florida; Xinyue Jiao, New York University; Xueyan Gao, University of Florida; Hyunju Oh, University of Florida; Wanli Xing, University of Florida

Tagged Divisions

Computers in Education Division (COED)

roboticsand they had vague and basic existing knowledge of AI.When AI is acting as a programming assiting tool, the findings of the reviewed studies revealed apositive impact of AI on both student learning outcomes and engagement in K-12 CSeducation 29,23,4 . Quantitative data indicated statistically significant improvements in test scoresand project completion rates among students exposed to AI-driven interventions. 9 examied anadaptive immediate feedback system significantly increased students’ intentions to persist in CS,improved their engagement and learning, and was well-received by students. 32 highlights theefficacy of virtual robotics as a tool for teaching programming in middle school, emphasizing theimportance of structural logic in

Conference Session

COED: Skills for Moving from Computing Student to Professional

Collection

2023 ASEE Annual Conference & Exposition

Authors

Rachel Field, Morgan State University; Steven J. Fuller; Edward Dillon, Morgan State University

Tagged Divisions

Computers in Education Division (COED)

institutions are beginning toimplement technical interview practices into the classroom as assignments, group projects,warm-ups, class exercises, and dedicating a class to the topic. For instance, literature shows thatexposing students to technical interview exercises in their Data Structure course(s) is one of themost effective methods. One reason being that students are exposed to the process early on but itbecomes natural for them to think as interviewees based on the construct of these particularcourses. Likewise, literature suggests that introducing the technical interview process early in astudent’s computational development could better gauge the overall effectiveness of thisemployed initiative. Yet, the number of studies that reflect such

Conference Session

COED: Grading Systems

Collection

2023 ASEE Annual Conference & Exposition

Authors

Liia Butler, University of Illinois, Urbana-Champaign; Geoffrey L. Herman, University of Illinois, Urbana-Champaign

Tagged Divisions

Computers in Education Division (COED)

Vesa Lappalainen. Csi with games and an emphasis on tdd and unit testing: Piling a trend upon a trend. ACM Inroads, 3(3):62–68, sep 2012. ISSN 2153-2184. URL https://doi.org/10.1145/2339055.2339073.[15] Peter J. Clarke, Debra Davis, Tariq M. King, Jairo Pava, and Edward L. Jones. Integrating testing into software engineering courses supported by a collaborative learning environment. ACM Trans. Comput. Educ., 14(3), oct 2014. URL https://doi.org/10.1145/2648787.[16] Nicole Clark. Peer testing in software engineering projects. In Proceedings of the Sixth Australasian Conference on Computing Education - Volume 30, ACE ’04, page 41–48, AUS, 2004. Australian Computer Society, Inc.[17] Stephen H. Edwards. Using software

Conference Session

COED Modulus Topics

Collection

2023 ASEE Annual Conference & Exposition

Authors

Damitu Robinson, University of California, Davis; Nicholas Hosein; Andre Knoesen, University of California, Davis; Akash Kashyap

Tagged Divisions

Computers in Education Division (COED)

answered.At the top of every post in the active tab of KarmaCollab is a button that will launch a QR codescanner. The video chat automatically launches once the companion web app is scanned from anybrowser (no login required). KarmaCollab video rooms have no capacity limits and allow forscreenshare, which is used extensively in project courses involving simulations and coding.Self-Managed ArchiveKarmaCollab tries a new approach to archiving posts. Other platforms such as Slack, Piazza, andBlackboard allow for an infinitely long archive of all questions posted, sometimes even from pastinstances of the course. KarmaCollab uses a model more like Twitter, where trending archivedtopics bubble to the top of the archive, and posts that have lost relevance

Conference Session

COED: Student Perspectives of Instructional and Advising Approaches

Collection

2023 ASEE Annual Conference & Exposition

Authors

Mahbub K. Ahmed, P.E., Southern Arkansas University; Kendra J. Ahmed, Southern Arkansas University

Tagged Divisions

Computers in Education Division (COED)

tool, a set ofsurvey questions were given to those students whose schedules have been made using theadvising tool. The collected survey data has been analyzed statistically to determine the tool'sefficacy from students’ perspectives. The analyzed data indicate that the students were overallsatisfied and had positive attitudes towards different aspects of the tool.MotivationIn any major, preparing an effective and error-free course plan for undergraduate students eachsemester is crucial for their timely graduation. However, various constraints may arisethroughout the student’s four-year program, which can cause uncertainties in their graduationtiming. Students also often want a clear picture of their projected graduation date, including

Conference Session

COED: Spotlight on Diverse Learners

Collection

2023 ASEE Annual Conference & Exposition

Authors

Edward Dillon, Morgan State University; Theodore Wimberly Jr.; Mariah McMichael; Lauren Brown, Morgan State University; Abigail Dina; Krystal L. Williams, University of Georgia

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

the field of CS may not be equitable or inclusive to black women. Moreover, the fact thatan overwhelming majority of these participants experience imposter syndrome and struggle withtheir inner confidence further challenges their sense of belonging in the field, which could playan integral role in their overall representation in CS.Challenges that black women face are uniquely different from other groups due to the fact thatthey reside in the middle of the intersection of race, gender, and in some cases class. This uniquedynamic may be indicative for why 50% of the participants feel pressure to show adequatecompetency and perfection in these settings. Being one of very few on team projects and relatedinteractions, or feeling immediate

Conference Session

The Best of Computers in Education Division (COED)

Collection

2024 ASEE Annual Conference & Exposition

Authors

Phyllis J. Beck, Mississippi State University; Mahnas Jean Mohammadi-Aragh, Mississippi State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

fl fl fl flcan leave a lot of problem-solving to be completed in the coding phase where a participant mayneed more time to complete the project or run into unanticipated problems.3.4 Design Cohesion and Granularity LevelAfter applying the alignment notation to each of the exercise samples we determined that DesignCohesion could be classified as low, medium, or high. A low level of design cohesion canindicate a low level of metacognition and ability to plan prior to implementing a programmingsolution. It may also represent a lack of attention to the planning phase, where a

Conference Session

Teaching with ML and Generative AI

Collection

2024 ASEE Annual Conference & Exposition

Authors

Anthony Cortez, Point Loma Nazarene University; Paul Daniel Schmelzenbach, Point Loma Nazarene University

Tagged Divisions

Computers in Education Division (COED)

in communicating complex and technical ideas. 3. Understand key ideas of how to use Excel as a tool to solve problems and communicate data in science and engineering. 4. Become proficient at using MATLAB, including writing .m files and correcting or modifying existing code. 5. Learn fundamental skills for group collaboration, as well as lab and project execution/documentation/demonstrations. 6. Address the role that artificial intelligence has in engineering. 7. Understand how to utilize a microcontroller to solve certain engineering problems.Therefore, ChatGPT was not introduced into the course until two-thirds of the way through thesemester. The purpose for introducing AI to the latter part of the semester was

Conference Session

Programming Education 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Timothy James, Purdue University; Alejandra J. Magana, Purdue University

Tagged Divisions

Computers in Education Division (COED)

able to effectively engage a broader audience.1. IntroductionThe number of jobs in software development is projected to increase substantially over the nextdecade [1]; this increased demand will require many new workers to learn how to developsoftware. Traditionally, many universities and colleges have provided computer science degreeprograms that will prepare future workers. However, more scalable approaches like MassiveOpen Online Courses (MOOCs) could be an alternative – a more scalable approach to preparingthe next generation of software developers that might reach a broader audience [2]. Thesecourses can help to address rising demand for computer programming education and expandaccess to educational opportunities [3]. Unfortunately, MOOCs

Conference Session

Teaching with ML and Generative AI

Collection

2024 ASEE Annual Conference & Exposition

Authors

Han Kyul Kim, University of Southern California; Aleyeh Roknaldin, University of Southern California; Shriniwas Prakash Nayak, University of Southern California; Xiaoci Zhang, University of Southern California; Muyao Yang, University of Southern California; Marlon Twyman, University of Southern California; Angel Hsing-Chi Hwang, Cornell University; Stephen Lu, University of Southern California

Tagged Divisions

Computers in Education Division (COED)

ideas in engineering design course projects,” Design Studies, vol. 47, pp. 47–72, 2016.[23] D. H. Cropley, Creativity in engineering. Springer, 2016.[24] G. Salton and C. Buckley, “Term-weighting approaches in automatic text retrieval,” Information processing & management, vol. 24, no. 5, pp. 513–523, 1988.[25] H. K. Kim, H. Kim, and S. Cho, “Bag-of-concepts: Comprehending document representation through clustering words in distributed representation,” Neurocomputing, vol. 266, pp. 336–352, 2017.[26] D. H. Cropley, A. J. Cropley, and B. L. Sandwith, “Creativity in the engineering domain,” Creativity & Engineering, vol. 11, no. 2, p. 233, 2017.[27] Y. Zhu, J.-Y. Nie, K. Zhou, P. Du, H. Jiang, and Z. Dou, “Proactive

Conference Session

COED: Grading Systems

Collection

2023 ASEE Annual Conference & Exposition

Authors

Chenyan Zhao, University of Illinois, Urbana-Champaign; Matthew West, University of Illinois, Urbana-Champaign; Mariana Silva, University of Illinois, Urbana-Champaign

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

, family emergency, etc)The response rate for the survey was 84%. Of those students responding, 58% preferred the Strictschedule policy (option A) compared to 27% of the students who preferred the Lenient schedulepolicy (option B). Only 8% would like a stricter schedule with one-fixed additional week tocomplete the assignments (option C), while the remaining 7% preferred no built-in flexibility(option D).4 LimitationsThe data from this study was collected in one Computer Science course at a highly-selectiveresearch university in the United States. It will be important to investigate the extent to which theresults generalize to other settings. For example, project-based courses with specific milestones atpre-determined times would be an

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Syed Hasib Akhter Faruqui, Sam Houston State University; Nazia Tasnim, University of Texas at Austin; Iftekhar Ibne Basith, Sam Houston State University; Suleiman M Obeidat, Texas A&M University; Faruk Yildiz, Sam Houston State University

Tagged Divisions

Computers in Education Division (COED)

feedback mechanisms. By inter-linking Artificial Intelligence and assistive technology in an educational setting, this project aspiresto advance personalized learning experiences for students, making meaningful strides in inclusiveeducation.Keywords: SAMCares, Large Language Model, Adaptive Learning, Interactive Learning, Re-triever Augmented GenerationIntroductionThe recent advancement in science and technology has transformed the field of higher education 1 ,bringing a paradigm shift in both teaching methodologies and learning experience. This trend canbe observed globally from both students’ and educators’ perspectives. With the development ofinnovative educational platforms like adaptive learning platforms, virtual and augmented reality(VR/AR

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)

term; and the use of heavily weighted high-stakes tests or project assignments whereone assignment’s score can make the difference between achieving an average grade or needing torepeat a course.According to Feldman [42], traditional grading includes a component that evaluates student’sbehaviors, often including timeliness, effort, and other behavioral measures. Often these expectedbehaviors make an assumption of life outside of the classroom which indirectly anddisproportionally affects students with part-time jobs, students with family responsibilities, andother non-traditional students.In an online interview with Cornelius Minor2 , he states: “One of the first aspects of truly inclusivegrading is understanding that the assignment doesn’t

Conference Session

COED: Spotlight on Diverse Learners

Collection

2023 ASEE Annual Conference & Exposition

Authors

Vijesh J. Bhute, Imperial College London; Ellen Player; Deesha Chadha, Imperial College London

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Paper ID #38909Motivation and Evidence for Screen Reader Accessible Website as anEffective and Inclusive Delivery Method for Course Content in HigherEducationDr. Vijesh J. Bhute, Imperial College London Dr. Vijesh Bhute currently leads 1st and 2nd year modules on Mathematics in the Chemical Engineering Department at Imperial College London. He leverages technology to enhance delivery of abstract con- cepts and also uses math-aware assessment platforms to improve student learning. He collaborates with students on various projects and has also contributed to development of innovative hybrid experiential learning approaches

Conference Session

Computer Engineering Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Peter Jamieson, Miami University; Nathaniel David Martin, Miami University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

processor for division by default, but anynumbers can be loaded to test the dividers if desired.Once the divider and wrapper are created, our entire design, which includes our HW divider, thewrapper, and the edited Trireme processor will be synthesized with the Quartus tool. We alsocompile just the HW divider in its module to get an accurate measure of speed and area for justthe divider. This will give us a result for the area of this divider, as well as the critical path for thedivider implementation. The synthesis of the entire project is needed for ModelSim to carry outthe simulation and test the divider. The ModelSim simulator will simulate the testbench writtenfor it and check for correctness. The number of clock cycles to complete the HW