Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Daniel Limbrick, North Carolina A&T State University; Laura Marcela Garcia Suarez; Deriech Cummings II, North Carolina A&T State University

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Diversity

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Computers in Education Division (COED)

Paper ID #43691(Board 53/Work in Progress) Engaging the Next-Generation of IC Designerswith Puzzle-Solving CompetitionsProf. Daniel Limbrick, North Carolina A&T State University Dr. Daniel Limbrick is an associate professor in the Electrical and Computer Engineering Department at North Carolina Agricultural and Technical State University (NC A&T). As director of the Automated Design for Emerging Process Technologies (ADEPT) laboratory, Dr. Limbrick investigates ways to make microprocessors more reliable and secure through cross-layer design.Laura Marcela Garcia SuarezDeriech Cummings II, North Carolina A&T State

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ibukun Samuel Osunbunmi, Pennsylvania State University; Stephanie Cutler, Pennsylvania State University; Viyon Dansu, Florida International University; Yashin Brijmohan, University of Nebraska, Lincoln; Bolaji Ruth Bamidele, Utah State University; Abasiafak Ndifreke Udosen, Purdue University, West Lafayette; Lexy Chiwete Arinze, Purdue University, West Lafayette; Adurangba Victor Oje, University of Georgia; Deborah Moyaki, University of Georgia; Melissa J Hicks, Pennsylvania State University; Bono Po-Jen Shih, Pennsylvania State University

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Diversity

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Computers in Education Division (COED)

: Jan. 17, 2024. [Online]. Available: https://www.magicschool.ai/[3] “AI Lesson Plan Generator,” Taskade. Accessed: Jan. 17, 2024. [Online]. Available: https://www.taskade.com/generate/content/lesson-plan[4] “Assessment Writer | AI-powered Assessment Drafting Tool | HyperWrite AI.” Accessed: Jan. 17, 2024. [Online]. Available: https://hyperwriteai.com/aitools/assessment-writer[5] K. Thompson, L. Corrin, and J. M. Lodge, “AI in tertiary education: progress on research and practice,” Australas. J. Educ. Technol., vol. 39, no. 5, pp. 1–7, Dec. 2023, doi: https://doi.org/10.14742/ajet.9251.[6] L. K. Chng, “How AI Makes its Mark on Instructional Design,” Asian J. Distance Educ., vol. 18, no. 2, pp. 32–41, Jul. 2023.[7] A. Tinterri

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Gerry A Pedraza, Texas A&M University; Sunay Palsole, Texas A&M University

Tagged Divisions

Computers in Education Division (COED)

Using Generative AI for Reducing Faculty Workload in Online Engineering CoursesAbstractWIP. The demand for high-quality online engineering courses and credentials is surging, drivenby the upskilling and reskilling needs of industry partners and engineers with 8-10 years ofexperience. Creating accessible, top-tier online courses requires producing exceptional videos,transcripts, and content segmented appropriately for optimal student learning [1]. Beyond lecturepreparation, faculty are often tasked with creating well-designed slides and assessments toengage students and measure learning. Despite the support of instructional designers in manyinstitutions, this multifaceted process presents a significant challenge 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)

compared to traditional grading methods without suchassistance.We also envision an extension of the grading assistant to offer groups a rapid feedbackmechanism for their lab reports. In this proposed application, students could submit a ’final draft’of their report and receive AI-generated feedback on how well their submission aligns withspecific rubric items. While we recognize the ethical considerations associated with employingAI for direct grade assignment, we believe that AI tools, when used appropriately, cansignificantly enhance the educational experience. Our aim is not to replace human grading but toaugment it, facilitating a more efficient and effective learning and assessment environmentregardless of enrollment numbers.References [1] C

Conference Session

COED: Skills for Moving from Computing Student to Professional

Collection

2023 ASEE Annual Conference & Exposition

Authors

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

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

(Python or C++) to verify that their solution is correct.Table 1 provides a relational table that illustrates how the skills emphasized during thesewhiteboard problem solving assessments are relative to the ones evaluated during a formaltechnical interview session. For instance, the students’ ability implement code and producecorrect solutions are vital components of this whiteboard assessment, which is also employed intechnical interview sessions to evaluate a candidate’s technical skills and programmingproficiency. Moreover, students are required to think aloud during this assessment, which is alsoused during technical interviewers to gauge the candidate’s verbal skills. The group-based aspectof this assessment allows students to develop their

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)

experience will reduce anxiety, one of the primary componentsleading to failure when solving whiteboard problems [3]. As more of these initiatives areutilized, the progression of these students during and after college should be recorded in order tobetter understand how to prepare students.Another future work is increasing the general awareness of the technical interview processamongst institutional administrators and faculty. Aforementioned, there are CS courses designedto strictly train students for the technical interview process (referred to as Category 1). Likewise,there is a trend for these courses to be student-taught. This raises the question of how trulyengaged institutions and CS departments are when it comes to their students’ success

Conference Session

Programming Education 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sunjae Park, Wentworth Institute of Technology

Tagged Divisions

Computers in Education Division (COED)

courses,’’ in 2022 IEEE Frontiers in Education Conference (FIE), 2022, pp. 1–8. doi: 10.1109/FIE56618.2022.9962662. [6] E. Allen, R. Cartwright, and B. Stoler, ‘‘Drjava: A lightweight pedagogic environment for java,’’ in Proceedings of the 33rd SIGCSE technical symposium on Computer science education, 2002, pp. 137–141. [7] JetBrains s.r.o. ‘‘The state of developer ecosystem 2023.’’ (2023), [Online]. Available: https://www.jetbrains.com/lp/devecosystem-2022/. [8] W. von Hagen, The Definitive Guide to GCC. Apress, 2011, isbn: 9781430202196. [Online]. Available: https://books.google.com/books?id=wQ6r3UTivJgC. [9] C. Lattner, ‘‘Llvm and clang: Next generation compiler technology,’’ in The BSD conference, vol. 5, 2008, pp

Conference Session

Programming Education 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Chi Yan Daniel Leung, zyBooks, A Wiley Brand; Joe Mazzone, zyBooks, A Wiley Brand; Efthymia Kazakou, zyBooks, A Wiley Brand; Chelsea Gordon, zyBooks, A Wiley Brand; Alex Daniel Edgcomb, zyBooks, A Wiley Brand; Yamuna Rajasekhar, zyBooks, A Wiley Brand

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Computers in Education Division (COED)

Proceedings of the 46th ACM Technical Symposium on‬ ‭Computer Science Education, SIGCSE, pp.410-415, Feb 24 2015.‬ ‭[3] G. Haldeman, A. Tjang, M. Babeş-Vroman, S. Bartos, J. Shah, D. Yucht, and T.D. Nguyen, “Providing‬ ‭meaningful feedback for autograding of programming assignments,” in Proceedings of the 49th ACM‬ ‭Technical Symposium on Computer Science Education, SIGCSE, pp. 278-283, Feb 21 2018.‬ ‭[4] H. Keuning, J. Jeuring, and B. Heeren. “Towards a Systematic Review of Automated Feedback‬ ‭Generation for Programming Exercises,” in Proceedings of the 2016 ACM Conference on Innovation and‬ ‭Technology in Computer Science Education, ITiCSE '16, pp. 41-46, Jul 2016.‬ ‭[5] Gordon, C. L., Lysecky, R

Conference Session

Programming Education 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jialiang Tan, Lehigh University; Yu Chen, Independent Researcher; Shuyin Jiao, North Carolina State University

Tagged Divisions

Computers in Education Division (COED)

aim to create extensions thatenhance student engagement during programming assignments.REFERENCES[1]. Abadi, Martın, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro,Greg S. Corrado et al. "TensorFlow: Large-scale machine learning on heterogeneous systems,software available from tensorflow. org (2015)." https://www. tensorflow. org (2015).[2]. Al-Gahmi, Abdulmalek, Yong Zhang, and Hugo Valle. "Jupyter in the Classroom: AnExperience Report." Proceedings of the 53rd ACM Technical Symposium on Computer ScienceEducation-Volume 1. 2022.[3] Atom. 2022. Atom Homepage. http://atom.io/.[4] Barba, Lorena A., Lecia J. Barker, Douglas S. Blank, Jed Brown, Allen B. Downey, TimothyGeorge, Lindsey J. Heagy et al. "Teaching and learning

Conference Session

COED Programming Education 1: Students, Motivation, and Mastery

Collection

2023 ASEE Annual Conference & Exposition

Authors

David M. Feinauer, P.E., Virginia Military Institute; Runna Alghazo, Prince Mohammad Bin Fahd University, Saudi Arabia; Jaafar M. Alghazo, Virginia Military Institute; Sherif Abdelhamid, Virginia Military Institute; James C. Squire, P.E., Virginia Military Institute

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Diversity

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Computers in Education Division (COED)

devices andtechnology in their education. The first cohort of Gen Alpha is expected in university classroomsaround 2028. Generation Z describes those born from ~1997–2009, and Generation Alpha refersto people born in or after 2010. The Gen Alpha student will be one who is truly a “digitalnative”—they will not have known a world without pervasive touchscreen devices. Colleges andUniversities must be ready for possible changes in the learning methodologies required to meetthis new generation. Use of computing devices in primary and secondary education has growntremendously through the use of one-to-one (1:1) device or technology programs. A 2017 report[13] found that more than 50% of K-12 teachers taught in 1:1 classroom environments and ameta

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

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

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Computers in Education Division (COED)

where knowledge might be transferred between participants. Next, we ask RQ3 ,which aims to classify the types of knowledge being transferred and if the knowledge is relevantto what happens during the stream, unrelated off-topic knowledge, or general programmingknowledge. Finally, using previous data, we ask RQ4 to understand if knowledge transfer helps orharms development activities during a live stream.Background and Related WorkInformal Learning OpportunitiesInformal learning opportunities play a crucial part in knowledge sharing and acquisition inundefined and opportunistic ways and are not motivated or bound by specific curriculum [1, 2].Research suggests that informal learning can be effective when individuals can contextualize andsituate

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Matthew Norris, Virginia Tech; Hamidreza Taimoory, Virginia Polytechnic Institute and State University; Andrew Katz, Virginia Polytechnic Institute and State University; Jacob R Grohs, Virginia Polytechnic Institute and State University

Tagged Divisions

Computers in Education Division (COED)

augmented scoring procedures.The following is an example of the workflow for scoring the prompt “Given what you knowfrom the scenario, please write a statement describing your perception of the problem and/orissues facing Abeesee.” Scores for this prompt are determined by the inclusion of discussion ofeither technical or contextual aspects of the problem, with examples and categories for eachaspect included in the scoring guide. Discussing either technical or contextual aspects results in ascore of 1, discussing both technical and contextual aspects results in a score of 2, and a score of3 requires students to recognize interactions between aspects.Manual ScoringResponses to the Village of Abeesee Scenario were collected from 162 undergraduate

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Zoe Wood, California Polytechnic State University, San Luis Obispo; Miguel Manoah Refugio Greenberg

Tagged Divisions

Computers in Education Division (COED)

, “Programming is hard - or at least it used to be: Educational opportunities and challenges of ai code generation,” in Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1, ser. SIGCSE 2023. New York, NY, USA: Association for Computing Machinery, 2023, p. 500–506. [Online]. Available: https://doi.org/10.1145/3545945.3569759 [9] M. Welsh, “The end of programming,” Commun. ACM, vol. 66, no. 1, p. 34–35, dec 2022. [Online]. Available: https://doi.org/10.1145/3570220[10] I. Google, “Google java style guide,” july 2023. [Online]. Available: https://google.github.io/styleguide/javaguide.html[11] U. N. Academy, “Us nvaal academy rubric,” july 2023. [Online]. Available: https://usna.edu/Users/cs/norine

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Trini Balart, Texas A&M University; Kristi J. Shryock, Texas A&M University

Tagged Divisions

Computers in Education Division (COED)

questions, and providingresearch assistance [1]. The high quality of theoretical answers generated by ChatGPT positionsit as an effective personal tutor for students seeking study support [7]. While ChatGPT mayoccasionally falter in solving calculation questions, it excels in guiding students through thecorrect problem-solving steps, rendering its instructional capabilities highly dependable. Overall,ChatGPT's contributions to tutoring and assessment grading are marked by its adaptability andcapacity to provide tailored support across various educational domains. Educators can use ChatGPT-generated reports to provide constructive feedback tostudents, improving formative and summative assessments and pointing out areas where learnersface

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Yixin Zhang, University of Toronto; Hanzhang Xing; Yaqi Zhang, University of Toronto; Xinyan Du, University of Toronto; Hamid S Timorabadi P.Eng., University of Toronto

Tagged Divisions

Computers in Education Division (COED)

specific measure of the testing plan.The internal testing was done by the design team, in which we passed all the technical andfunctional metrics. The external testing was associated with gathering feedback from studentvolunteers with an online survey. The survey was performed with a group of 29 students. Themain goal of the survey is to investigate and test the usability of the design. To ensure a fairassessment of our design’s effectiveness, the participants were exclusively exposed to ourdesign. Usability testing measures the user experience from the scale of Strongly Disagree (1)to Strongly Agree (5) in three aspects: helpfulness for learning, performance of the platform(website and 3D animation), and aesthetics of the design, with short

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Alexander Hicks, Virginia Polytechnic Institute and State University; Cliff Shaffer, Virginia Polytechnic Institute and State University

Tagged Divisions

Computers in Education Division (COED)

descriptions of the topic they are seeking help about. After-interactionfeedback data contains both student and TA responses to several questions shown in Table 1.These were multiple-choice questions where students and TAs were provided the same answerchoices for similar questions [6]. The question of whether or not the problem a student brought tooffice hours was solved during the session has three possible responses: yes, partially, and no.This question in particular will help us target our interviews for phase two of the study.The data collected through MDH can indicate some trends of office hours and highlightinteresting interactions to investigate more thoroughly. The data provides mechanical context ofoffice hour interactions (who met with who

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sweni Shah; Hamid S Timorabadi P.Eng., University of Toronto; Sanjana Dasadia; Samreen Khatib Syed; Doaa Muhammad, University of Toronto

Tagged Divisions

Computers in Education Division (COED)

, andprofile information are developed using React. This technical framework aims for a secure,scalable, and user-friendly mentorship platform. Figure 1: Shows the high-level system diagram of MentorMateThe ‘Algorithm Server’ implements the K-means algorithm responsible for facilitating matchingbetween Users. Users are obtained from the ‘User Objects Database’ which is created when auser registers on the website. Their questionnaire answers are obtained from the ‘MatchingSystem’, and the algorithm is then run on unassigned users with their answers to facilitatematches. If matched, the users are sent an email with details on their mentor/mentee, and thematch information is sent back to the ‘Matching System’ to display on the

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ankunda Kiremire, Louisiana Tech University; Kevin A Cherry, Louisiana Tech University

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Diversity

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Computers in Education Division (COED)

Datastorm challenges. We also plan to host annual full-day Datastormevents, which should provide visibility and outreach opportunities to other undergraduate studentsat our institution as well as highlight the relevance of the Computer Science program to thegeneral public.IntroductionComputer Science and computing based majors in general suffer from a variety of issues at theuniversity level.One of those issues is high drop out rates. The level of attrition in Computer Science is reportedto be between 9.8% [1] and 28% [2]. This represents both a direct loss in terms of students notcompleting the major as well as an indirect loss in terms of students not encouraged to pursue itbecause of a perceived difficulty given its high withdrawal rates.Figure

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Maristela Holanda, Texas A&M University; Dilma Da Silva, Texas A&M University; Raquel Carneiro Dörr; Fernanda Macedo de Sousa

Tagged Divisions

Computers in Education Division (COED)

Abstract. Computing is everywhere, and the first programming language course, generally called CS1 (Computer Science 1 course), is usually taught by departments of Computer Science to undergraduate students majoring in various subjects. However, the high failure rate in these introductory programming courses is an issue that challenges several universities. In this context, this work-in-progress presents an intervention proposal focused on the class for students majoring in Mathematics. In conjunction with the Department of Mathematics, a CS1 course has been created with adaptations to the course content for the context of Mathematics. The initial validation, performed on mathematics undergraduate students, showed good

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)

have agreed to recommend their students for the study; (2) a targeted email com-munication will be sent to department students; (3) Physical flyers will be posted in key locationsacross campus; and (4) Departments social media platforms will be used to extend our recruitmentefforts further.RandomizationEligible participants will be randomly assigned into two groups; either the group will have accessto the SAMCares tool (n = 75) or the group without access to the SAMCares tool with a 1 : 1allocation. A randomization code will be generated to assign participants to either of the groups.Only after the final selections have been made and the consent forms are signed will the participantsbe able to know which group they are a part of. A schematic

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ryan L. Solnosky P.E., Pennsylvania State University; Rebecca Napolitano; Wesley F. Reinhart, Pennsylvania State University

Tagged Divisions

Computers in Education Division (COED)

approachesin education [21]. Despite the advantages of contextualizing data science education to domain-specific knowledge, asdocumented in the literature [22], college curricula still feature non-contextualized data science courseofferings to a significant extent. Part of the barrier to adoption is rooted in [23-24]: 1) number of credits ina program typically is tight so making room is hard for new materials [25], 2) some faculty see non-corediscipline topics as general education and do not feel it is needed at a department level [26], 3) if it must becovered in a class, it limits the amount and exposure of other topics, 4) many current faculty are not trainedor are experts in data science and do not know the topics to teach them, 5

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Deborah Moyaki, University of Georgia; Deborah Gbemisola Fabiyi, Washington State University; Nathaniel Hunsu, University of Georgia

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Diversity

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Computers in Education Division (COED)

facilitate formal education on the premise that they would improvestudent learning outcomes. Dawson, et al. [1] indicate that adopting technological innovationsin higher education significantly impacts the quality of learning delivery, studentengagement, and academic accomplishments. To meet the complex and dynamic demands ofthe 21st century, stakeholders of engineering education have also been exploring and adoptinginstructional technologies to improve the teaching and learning experience in engineeringeducation. To develop technical competencies in engineering students, integrating diverseeducational technologies such as educational games, mobile learning tools, and virtual realitytechnology is important [2], evidenced by the extensive breadth of

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Lisa Cullington, Sacred Heart University; Mary V Villani, Farmingdale State College, SUNY, New York; Nur Dean, Farmingdale State College, SUNY, New York; Moaath Alrajab, Farmingdale State College, SUNY, New York; Arthur Hoskey, Farmingdale State College SUNY, New York; Ilknur Aydin, Farmingdale State College, SUNY, New York

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Diversity

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Computers in Education Division (COED)

’ Sense of Belonging: A Key to Educational Success for AllStudents. (2nd ed.). Routledge, 2018.[5] C. Gillen-O’Neel, “Sense of belonging and student engagement: A daily study of first- andcontinuing-generation college students,” Research in Higher Education, vol. 62, no. 1, pp. 45-71,Feb. 2021.[6] M. Bong and E.M. Skaalvik, “Academic self-concept and self-efficacy: How different arethey really?,” Educational Psychology Review, vol. 15, pp. 1-40, Jan. 2003.[7] D.W. Johnson, R.T. Johnson and K.A. Smith. Active Learning: Cooperation in the CollegeClassroom. Edina, MN: Interaction Book Company, 1991.[8] M.J. Baker, “Collaboration in collaborative learning,” Interaction Studies: Social behaviourand communication in biological and artificial systems

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

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Diversity

Tagged Divisions

Computers in Education Division (COED)

motivation.We have identified the following research questions regarding students in a Discrete Mathclass in an introductory CS sequence:RQ1: Do students’ expectations to do well, value of the course, and time spent studyingcontribute to their course outcome?RQ2: Can students who do not expect to do well in the course when they first enter it, cannevertheless engage in study behaviours that lead to positive course outcomes?2 MethodsWe surveyed students in a Discrete Math course at the University of Illinois Urbana-Champaignthree times during Spring 2022. Survey 1 was used to get information about students’ mo-tivation and belonging as they enter the course in the first week of the semester. Surveys 2and 3 were given in the middle and at the end of

Conference Session

The Best of Computers in Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Shameel Abdulla, Texas A&M University, Qatar; Yasser M. Al Hamidi, Texas A&M University, Qatar; Marwan Khraisheh, Texas A&M University, Qatar

Tagged Divisions

Computers in Education Division (COED)

), lab layouts,Project Safety Analysis (PSA), and other safety-related documents. Such information is usuallyprovided as hard copies in the labs. However, they are not easily accessible digitally. Having achatbot fetching this information would make the students’ and educators’ life easier. MEEN ChatBOT Course Engineering Item Technical Schedule General Safety information contents checkout Services meetings information information Terminology List

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)

shown in Table 1. In addition, the camp provides hands-on experience through labs and applications that allow students to apply their knowledge in a practical setting. By participating in these hands-on activities, students can develop a better understanding of the concepts they are learning and gain valuable skills that can be applied in their future studies or careers. Student-centered learning strategies are effective at enhancing student learning, according to research [5].Table 1 Session Name and its respective learning Objectives Session Name Learning Objectives Intro to  Cybersecurity Importance Cybersecurity  Few past and recent Cyber attacks

Conference Session

Cybersecurity Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mahmoud K Quweider, The University of Texas Rio Grande Valley; Liyu Zhang; Alexis Aaron De La Cruz

Tagged Divisions

Computers in Education Division (COED)

Fig. 1, taken from [1-2]. Cyber Security Degree Business and General Ed Technical Criminal Justice Corporate CS Math/Stat Capstone Project (Optional) Certifications Figure 1. Cyber Security Degree

Conference Session

COED: All about That Math

Collection

2023 ASEE Annual Conference & Exposition

Authors

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Computers in Education Division (COED)

experimental groups (EG). In theCGs, the professor gave the students a list containing about 15 exercises, and each pair ofstudents finished between 6 and 10 in the 1-hour class session. In the CGs all the students havethe same exercises and it is easy for them to share information between the pairs, thus limitingtheir learning.In the experimental group using the mobile app, each pair of students was first required to solveat least 5 practice exercises correctly. They usually try to solve more than 5 in order to obtain the5 correct exercises, which allows them to discover and take ownership of the solution strategy.Then they are asked to solve one quiz in 10 minutes with all the five exercises correct. The app'stimer helps them manage their time and

Conference Session

Cybersecurity Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Anyi Liu, Oakland University; Bruce R Maxim, University of Michigan, Dearborn; Xiaohong Yuan, North Carolina A&T State University; Yuan Cheng, Grand Valley State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

broader audience whilereducing technical barriers and costs. Table 1: Comparing the ReScuE with other cybersecurity educational projects.Projects Primary objectives Key features Features to be desiredCloudLab Cloud-based platform for research and General-purposed and Supporting cybersecurity ed- education free ucationAWS and Azure Cloud-based platform for business Reliable and not free Supporting cybersecurity ed- ucationSDNLab Conveying SDN/NFV research to edu- Technical and domain

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)

of the organization, the setup was hybrid in nature,with roughly 1/3 of the time being onsite and 2 / 3 being remote via Microsoft Teams.User Security PoliciesThe experience began with an overview of the organization’s User Security Policies. Thisdocument, part of employee onboarding, defined the policies a new employee is to follow whenworking with client records. It is a general policy – not targeted to those in technology – butwhich must be understood by all corporate partners and be usable across domains.The key finding from this document is that students of all disciplines need a generalunderstanding of rudimentary cybersecurity terminology. While many of our students areexposed to VPN’s through their internships, the proper usage of