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- Computer-Supported Pedagogy and Assessment
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- 2024 ASEE Annual Conference & Exposition
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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
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Paper ID #44303Reflections on 10 years of Operating a Computer-based Testing Facility: LessonsLearned, Best PracticesDr. Jim Sosnowski, University of Illinois Urbana-Champaign Jim Sosnowski is the Assistant Director of the Computer-Based Testing Facility (CBTF) at the University of Illinois Urbana-Champaign.Dr. Julie M Baker, University of Illinois Urbana-Champaign Julie Baker is a Learning Design Specialist for the Applied Technologies for Learning in the Arts and Sciences (ATLAS) group in the College of Liberal Arts and Sciences (LAS). She helps LAS faculty implement best practices for computer-based assessment and
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- Spotlight on Diverse Learners
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- 2024 ASEE Annual Conference & Exposition
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Isabella Gransbury, North Carolina State University; Monica M. McGill, Institute for Advancing Computing Education; Leigh Ann DeLyser
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://CSEdResearch.org.[26] Mazyar Seraj, Eva-Sophie Katterfeldt, Serge Autexier, and Rolf Drechsler. Impacts of creating smart everyday objects on young female students’ programming skills and attitudes. In Proceedings of the 51st ACM Technical Symposium on Computer Science Education, pages 1234–1240, 2020.[27] Monique M Jethwani, Nasir Memon, Won Seo, and Ariel Richer. “i can actually be a super sleuth” promising practices for engaging adolescent girls in cybersecurity education. Journal of Educational Computing Research, 55(1):3–25, 2017.[28] Lauren E Margulieux, Briana B Morrison, Baker Franke, and Harivololona Ramilison. Effect of implementing subgoals in code. org’s intro to programming unit in computer science principles. ACM
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- The Best of Computers in Education Division (COED)
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- 2024 ASEE Annual Conference & Exposition
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John K. Estell, Ohio Northern University; Lisa Graham Robeson, Ohio Northern University; Ye Hong, Ohio Northern University; Stephany Coffman-Wolph, Ohio Northern University
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differing perspectives based on thedocumented experiences of women along the Oregon and similar Overland Trails in the late1840s and early 1850s. Games were implemented using the Inform programming language,characterized by coding statements taking the form of complete sentences. This approachprovided a natural language syntax environment, making it inclusive for individuals outsidetraditional programming disciplines. To assess the course's effectiveness, pre- and post-activitysurveys with a Diversity, Equity, and Inclusion (DEI) focus were designed and administered. Thesubsequent statistical analysis revealed a significant positive impact, with a large effect sizedemonstrated in raising students' awareness of gender representation
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- Cybersecurity Topics
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- 2024 ASEE Annual Conference & Exposition
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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
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Consortium. He is a Senior Member of the IEEE.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, virtual reality, AIXiaohong Yuan, North Carolina A&T State University Dr. Yuan is a professor in the Department of Computer Science at NCA&T. Her research interests include AI and machine learning, anomaly detection, software security, cyber identity, and cyber security education. Her research has been funded by the National Security Agency, the National Centers of Academic Excellence in
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- Computer Engineering Topics
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- 2024 ASEE Annual Conference & Exposition
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Timothy Sellers, Mississippi State University; Tingjun Lei, Mississippi State University; Chaomin Luo, Mississippi State University; Gene Eu Jan; Zhuming Bi, Purdue University, Fort Wayne
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engineering from the New York Institute of Technology, Old Westbury, NY, USA, in 2016, and the B.S. degree in intelligent transportation engineering from Shanghai Maritime University, Shanghai, China, in 2014. He was Graduate Teaching Assistant for ECE1013 Foundations in ECE, ECE1022 Foundations in Design, ECE4713/6713 Computer Architecture, and ECE4753/6753 Introduction to Robotics at the undergraduate level and as a guest lecturer delivered graduate-level courses, ECE 8743 Advanced Robotics and ECE8833 Computational Intelligence. He received the ECE Best Graduate Researcher Award from the Department of Electrical and Computer Engineering, Mississippi State University in 2023. He received the Research Travel Award
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- COED: Computing in K-12 / Early Childhood Education
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- 2023 ASEE Annual Conference & Exposition
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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
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Practices and Processes,” Hollylynne S. Lee etel. developed a framework using the work of statistics educators and researchers to investigatehow data science practices can inform work in K–12 education. Their framework buildsfundamental practices and processes from data science [19]. The math field has contributed to data science research via the Common Core StateStandards Initiative (CCSSI), which is a joint project to develop common K–12 reading andmath standards designed to prepare students for college and careers. The CCSSI includes a datascience section for elementary students that focuses on data collection, data type, function,analysis type, and sample [20]. Similarly, the Launch Years Data Science Course Frameworkprovides broad
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- Computers in Education Division (COED) Poster Session
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- 2024 ASEE Annual Conference & Exposition
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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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, research, and teaching.Considering these challenges, there is an urgent need for empirical studies to assess the impact ofGAI on engineering learning experiences to address the potential challenges and concerns relatedto their implementation. This study aims to inform the field about the best practices forintegrating GAI tools into engineering education pedagogy and assessment.Purpose of this studyThis work-in-progress paper aims to describe our efforts to explore the impact of integrating GAIas a tool for enhancing engineering education. In this paper, we will discuss the methodology weplan to use to assess the impact of GAI tools on engineering learning experiences, including theselection of participants, data collection methods, and analysis
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- Computers in Education Division (COED) Poster Session
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- 2024 ASEE Annual Conference & Exposition
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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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students in the United States.Despite this growing interest, retention and graduation rates are a concern for many regional publicuniversities such as Farmingdale State College (FSC). Educational researchers have demonstratedthe benefits of increasing student sense of belonging (SoB) and academic self-concept (ASC) onacademic outcomes. This study explores the interaction between implementing collaborativelearning techniques (CoLT) in a CSC 101 Introduction to Computing course with students’ SoBand ASC. Given the social constructivist perspective that frames CoLTs and these techniques’ability to engage students authentically in course content, the implementation of CoLTs ishypothesized to positively impact students’ SoB and ASC. Students in the