evidence. It is also possible to studystudents’ retention in a class before and after the change and track their persistence inengineering after several semesters. References[1] T. J. D’Zurilla, A. M. Nezu, and A. Maydeu-Olivares, “Social Problem Solving: Theory and Assessment.,” Social problem solving: Theory, research, and training., no. 1971, pp. 11–27, 2009, doi: 10.1037/10805-001.[2] K. Sorsdahl, D. J. Stein, and B. Myers, “Psychometric properties of the Social Problem Solving Inventory-Revised Short-Form in a South African population,” International Journal of Psychology, vol. 52, no. 2, pp. 154–162, 2017, doi: 10.1002/ijop.12192.[3] D. Kokotsaki, V. Menzies, and
amount of additional explanation mayyield diminishing returns. Another area for further investigation may be an attempt at exploringhow much is too much and the amount of content that leads to the best results for the highestnumber of students.References[1] B. B. Morrison, L. E. Margulieux, and M. Guzdial, “Subgoals, context, and worked examples in learning computing problem solving,” in ICER 2015 - Proceedings of the 2015 ACM Conference on International Computing Education Research, Association for Computing Machinery, Inc, Jul. 2015, pp. 267–268. doi: 10.1145/2787622.2787733.[2] C. Vieira, A. J. Magana, A. Roy, and M. L. Falk, “Student Explanations in the Context of Computational Science and Engineering Education,” Cogn
Paper ID #41696(Board 56/Work in Progress): How Do Students Spend Their Time Studyingin a CS Discrete Math Course?Yael Gertner, University of Illinois Urbana-Champaign Dr Gertner joined the Computer Science Department at the University of Illinois in 2020 as a Teaching Assistant Professor. She received her B.S. and MEng in Electrical Engineering and Computer Science from MIT, and Ph.D. in Computer and Information Science at the University of Pennsylvania. She was a Beckman Fellow at the University of Illinois Urbana-Champaign. Her current focus is on broadening participation in Computer Science and Computer Science
. Sedano, Y. Panchul, and B. Ableidinger, “MIPSfpga: Using a Commercial MIPS Soft-Core in Computer Architecture Education”. IET Circuits, Devices & Systems, 2017. 11.10.1049/iet-cds.2016.0383.[5] RISC-V International University Resources: https://riscv.org/learn/. Accessed February 21, 2023.[6] R. Agrawal, S. Bandara, A. Ehret, M. Isakov, M. Mark, and M. Kinsy, “The BRISC-V Platform: A Practical Teaching Approach for Computer Architecture”, Proceedings of the Workshop on Computer Architecture Education, pp. 1-8, Jun. 2019. 10.1145/3338698.3338891.[7] N. Binkert, B. Beckmann, G. Black, S. K. Reinhardt, A. Saidi, A. Basu, J. Hestness, D. R. Hower, T. Krishna, S. Sardashti, R. Sen, K. Sewell, M. Shoaib, N. Vaish, M. D
cybersecurity as a career. However, there is still potential for improvement topersuade more students to consider this field. b. Changes in Cybersecurity Knowledge of High School StudentsThe poll's findings in Figure 5 taken before and after the lectures on cybersecurity point to asignificant improvement in the student's knowledge of the topic. According to the chart'sresearch, from 0% in the pre-survey to 8.7% in the post-survey, more students now haveadvanced cybersecurity knowledge. On the other hand, from 46.75% in the pre-survey to 0% inthe post-survey, the proportion of pupils with novice knowledge decreased. It is interesting to seethat more students now have intermediate knowledge of cybersecurity, which suggests that thelecture
middle school–aged children's perceptions of women in science using the Draw-A-Scientist Test (DAST).” Science Communication, 29(1), 2007, pp. 35-64.[11] UNCF.org. “Black Females Moving Forward in Computing Program Launched.” https://uncf.org/annual-report-2020/black-females-moving-forward-in-computing. (Retrieved February 27, 2023).[12] S. Zweben, and B. Bizot. “Taulbee survey: CS Enrollment Grows at All Degree Levels, With Increased Gender Diversity.” Computing Research Association, 2021.
(circled) in the horn track of Superstition used as a Side-Channel Attack MetaphorFinally, we discuss how programming paradigms may be used in different ways to convey ideas,or as a different take on the same idea. Superstition was co-developed by guitarist Jeff Beck, whowas collaborating with Mr. Wonder on songs in TONTO, and who wrote his own rock version.13Beck’s version uses a reverb guitar to give a “superstitious” feeling. I point out that both StevieWonder and Jeff Beck use the same drum beat, and that funk drum beats can be used in bothR&B and Rock to convey the same idea, just like different programming languages like Python,C, C++, or Java can use the same architecture to accomplish similar tasks.Lecture Conclusion and Student
Paper ID #47945Toward the Use of LLMs to Support Curriculum Mapping to EstablishedFrameworksMr. Eric L Brown, Tennessee Technological University Eric L. Brown is an education leader with over 28 years of experience in higher education, currently serving as the Associate Director of Workforce Development for the Cybersecurity, Education, Research, and Outreach Center at Tennessee Tech University. As a senior lecturer in the Computer Science department, Eric teaches various cybersecurity courses and agile-focused software engineering. His prior experiences include serving as a District Solutions Advocate for the Tennessee
in a model that might be better forus all to understand. Generally, the definitions of intelligence, education, learning, and what ourbrains do are extremely complex, and the wide variety of scientific fields (Cognitive Psychology,Neuropsychology, Educational Psychology, Artificial Intelligence, etc.) that work in this spaceprovides a broad glimpse of the complexity of the questions and includes many definitions.Therefore, we will provide starting points based on models and definitions to create acurriculum/course benchmark.2.1 Educable - a definition of intelligence?First, we use Valiant’s “Educable” definition [8]: (a) “learning from experience.” (b) “acquiring theories through instruction.” (c) “applying what one has acquired
should beable to control the victim from the attack’s VM. For this lab module, students should work withtwo deliverables: Figure 3: Session information output on the attacker’s VM. 1. In the meterpreter console, run MSF commands to control the victim VM. You should be able to see a screenshot similar to the one in Figure 3. 2. Explain why the exploit can be launched successfully.5 Evaluation Setup (a) Student Classification (b) Ethnicity (c) Majors Figure 4: Students’ ethnic and academic background at Institutions 1 and 2.5.1 Lab and Assessment SetupThe lab tasks are conducted in a physical classroom or online, following a standard process. Moststudents were
. Ophthalmol., vol. 70, no. 5, p. 1773, 2022.[11] Q. D. Nguyen, N. Fernandez, T. Karsenti, and B. Charlin, “What is reflection? A conceptual analysis of major definitions and a proposal of a five-component model,” Med. Educ., vol. 48, no. 12, pp. 1176–1189, Dec. 2014, doi: 10.1111/medu.12583.[12] A. A. Butt, S. Anwar, and M. Menekse, “WIP: Investigating the relationship between FYE students’ reflections and academic performance across gender,” in 2022 First-Year Engineering Experience, 2022.[13] M. A. Cohn, B. L. Fredrickson, S. L. Brown, J. A. Mikels, and A. M. Conway, “Happiness unpacked: Positive emotions increase life satisfaction by building resilience.,” Emotion, vol. 9, pp. 361–368, 2009, doi
College of Engineering and Computer Science at the University of Texas Rio Grande Valley (UTRGVLaura SaenzDr. Liyu Zhang, The University of Texas, Rio Grande Valley Liyu Zhang is an Associate Professor in the Department of Computer Science Department of Computer Science at the University of Texas Rio Grande Valley. He received his Ph. D. in Computer Science from the State University of New York at Buffalo in Septemb ©American Society for Engineering Education, 2023 A Bridged Cyber Security Curriculum with Embedded Stackable CredentialsAbstract— Supported by a federal grant, The University of Texas Rio Grande Valley (UTRGV)streamlined the Bachelor of Science
Paper ID #36723KarmaCollab: A Communication Platform For Collaborative LearningDamitu Robinson, University of California, DavisMr. Nicholas Hosein Nicholas is a PhD candidate at the University of California Davis with a background in computer ar- chitecture, algorithms and machine learning. His current focus is advancing the electrical engineering curriculum at UC Davis to be more industry relevant inProf. Andre Knoesen, University of California, Davis Andre Knoesen received his Ph.D. degree from the Georgia Institute of Technology, Atlanta, in 1987. He is currently a Professor in the Department of Electrical Engineering
Paper ID #45460Developing a Virtual Worlds Framework for Early ChildhoodDr. Safia Malallah, Kansas State University Dr. Safia Malallah is a teaching assistant professor at Kansas State University, where she completed her Ph.D. in Computer Science. Her research is dedicated to advancing computer science and data science education across the PreK-12 and undergraduate levels. Dr. Malallah is particularly passionate about designing innovative and accessible learning experiences that cultivate essential computational skills in studentsDr. Ejiro U Osiobe .Lior Shamir, Kansas State University Associate professor of
about how well they will perform on an upcoming task. It is influenced by self-efficacyand perceptions of task difficulty. Subjective task value encompasses several components: a)intrinsic value (the inherent enjoyment or interest in the task), b) attainment value (the personalimportance of doing well on the task, often linked to one's identity), c) utility value (theperceived usefulness of the task in achieving future goals), and d) cost (the perceived negativeaspects of engaging in the task, such as effort, time, and potential loss of alternative activities).EVT suggests that individuals are more likely to engage in tasks where they expect to succeedand that they value highly. Conversely, low expectancy and value can lead to task
research plan that examines (a) potential changes instudents’ educational and career plans, (b) which elements of the APEX program most stronglyrelate to student outcomes, and (c) factors influencing instructor satisfaction with FLCs.The APEX program aims to deliver computing education to diverse community college students,better preparing them for today’s increasingly digital workplace. Continued expansion andassessment of the program will allow us to improve the experience of both students andinstructors, and to encourage nationwide adoption of embedding computing experiences intointroductory community college courses.References[1] R. W. Lent, S. Brown, and G. Hackett, “Toward a unifying social cognitive theory of career and academic
main foundations to develop data science skills, or data acumen, theability to make good judgments about the use of data to support problem solutions [17]. From the statistical field, the American Statistical Association is committed toenhancing data science through statistics education to foster statistical and data science literacyat all levels. The Association published a report, “Guidelines for Assessment and Instruction inStatistics Education Report II (GAISE II),” that proposed a data science framework with fouressential concepts and 22 examples of framework application and assessment for threeprogressively conceptual structure levels (A, B, and C) [18]. Similarly, in their paper“Investigating Data Like a Data Scientist: Key
Paper ID #37420Implementation and Evaluation of a Predictive Maintenance CourseUtilizing Machine LearningMr. Jonathan Adam Niemirowski, Louisiana Tech University Jonathan Niemirowski is an Adjunct Professor in Instrumentation and Control Systems Engineering Tech- nology at Louisiana Tech University. He received a Bachelor of Science in Nanosystems Engineering in 2015, a Master of Science in Molecular Science and Nanotechnology in 2018, and is working on a PhD in Engineering Education, all at Louisiana Tech University. Mr. Niemirowski teaches Computer Aided Engineering (ENGT 250), Engineering Problem Solving (ENGR 120, 121
Paper ID #39981A SwarmAI Testbed for Workforce Development and Collaborative,Interdisciplinary ResearchMartha Cervantes, Johns Hopkins University Martha Cervantes is a Mechanical Engineer at the Johns Hopkins University Applied Physics Labora- tory where she works in mechanical design and integration of robotic systems. Additionally, Martha is the project manger of the CIRCUIT Program at JHU/APL, which connects and mentors students from trailblazing backgrounds to STEM careers through science and engineering projects. Martha received her B.S. in Mechanical Engineering from Johns Hopkins University, and she is currently
students, and computer- or web-assisted personalized learning.Syeda Fizza Ali, Texas A&M University Syeda Fizza Ali is currently pursuing her PhD in Interdisciplinary Engineering (emphasis in Engineering Education) at Texas A&M University. She works as a graduate research assistant at the Department of Multidisciplinary Engineering. Her work focuses on instructional strategies in engineering, and educational technology. She is also passionate about student mental health and broadening participation in engineering.Sung Je Bang, Texas A&M University Sung Je Bang is a PhD student in the Department of Multidisciplinary Engineering at Texas A&M University. He holds a Bachelor of Science and a Master of
Paper ID #43499Board 48: Perceptions of ChatGPT on Engineering Education: A 2022-2023Exploratory Literature ReviewTrini Balart, Texas A&M University Trinidad Balart is a PhD student at Texas A&M University. She completed her Bachelors of Science in Computer Science engineering from Pontifical Catholic University of Chile. She is currently pursuing her PhD in Multidisciplinary Engineering with a focus in engineering education and the impact of AI on education. Her main research interests include Improving engineering students’ learning, innovative ways of teaching and learning, and how artificial intelligence can
/learning for students, and computer- or web-assisted personalized learning.Sung Je BangDr. Saira Anwar, Texas A&M University Saira Anwar is an Assistant Professor at Department of Multidisciplinary Engineering, Texas A &M Uni- versity. Dr. Anwar has over 13 years of teaching experience, primarily in the disciplines of engineering education, computer science and software engineering. Her research focuses on studying the unique con- tribution of different instructional strategies on students’ learning and motivation. Also, she is interested in designing interventions that help in understanding conceptually hard concepts in STEM courses. Dr. Anwar is the recipient of the 2020 outstanding researcher award by the
Paper ID #40274Effectiveness of a Web-Based Advising Tool for an Engineering Program:Students’ PerspectivesDr. Mahbub K. Ahmed, P.E., Southern Arkansas University Dr. Mahbub Ahmed is an Associate Professor of Engineering at Southern Arkansas University (SAU). He received his PhD in Materials Science and Engineering with a focus on Mechanical Engineering from the University of Texas at El Paso in 2008. Currently, he holds a PE license in Mechanical Engineering in the state of Arkansas. Dr. Ahmed has been a faculty member in the Engineering Program at SAU since August 2012 and is actively involved in teaching, research, and
Paper ID #42206Board #447: Enhancing Lecture Material with Conceptual Videos: A SupplementaryLearning ExperienceMr. Thomas Rossi, University of New Haven Thomas Rossi is a senior lecturer in Computer Science at the University of New Haven in the department of Electrical and Computer Engineering and Computer Science. His research focuses on improving the post-secondary experience for students through the use of current computing tools and technologies. Thomas graduated with his MS in Computer Science from the University of New Hampshire in 2016. He has previously worked at the Rochester Institute of Technology and at Penn State
Paper ID #42618(Board 55/Work in Progress) Exploring Office Hour Interactions in a DataStructures and Algorithms CourseAlexander Hicks, Virginia Polytechnic Institute and State University Alex Hicks (he/him) is a PhD student in the Department of Computer Science at Virginia Tech. He earned a Bachelor of Science in Computer Science and History from the University of Virginia in 2020. His research interests include help-seeking behavior, broadening participation in computer science, and automated feedback systems.Prof. Cliff Shaffer, Virginia Polytechnic Institute and State University Dr. Shaffer received his PhD in
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
Paper ID #38631Board 55: (Work in Progress) Adapting the First Programming Course forUndergraduate Students of Mathematics MajorDr. Maristela Holanda, Texas A&M University I am a visiting professor at Texas A&A University. I am professor at University of Brasilia, Brazil. My research areas are databases and Computer Science Education.Dr. Dilma Da Silva, Texas A&M UniversityRaquel Carneiro D¨orrFernanda Macedo de Sousa ©American Society for Engineering Education, 2023 (Work in Progress) Adapting the First Programming Course for Undergraduate Students of Mathematics Major
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
Paper ID #38180Development of a Research-Based Course on Machine Learning and Roboticsfor Undergraduate Engineering Students at Hampton UniversityDr. Zhao Sun, Hampton UniversityLaura Camila PeraltaMyles Anthony RaginsNiara Renee Chaney ©American Society for Engineering Education, 2023 2023 ASEE Midwest Section ConferenceDevelopment of A Research-based Course on Machine Learning and Roboticsfor Undergraduate Engineering Students at Hampton University Zhao Sun, Laura C. Peratal; Myles A.Ragin and Niara Channy Hampton UniversityAbstractThrough the synergy of
Paper ID #44040Board 46: Integrating AI in Higher-Education Protocol for a Pilot Study with’SAMCares An Adaptive Learning Hub’Syed Hasib Akhter Faruqui, Sam Houston State University Assistant Professor, Department of Engineering TechnologyNazia Tasnim, University of Texas at AustinDr. Iftekhar Ibne Basith, Sam Houston State University Dr. Iftekhar Ibne Basith is an Associate Professor in the Department of Engineering Technology at Sam Houston State University, Huntsville, TX, USA. Dr. Basith has a Ph.D and Masters in Electrical and Computer Engineering from University of Windsor, ON,Dr. Suleiman M Obeidat, Texas A&M