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SIGCSE Virtual 2024 - Volume 1
- Mohsen Dorodchi, Ming Zhange, Stephen Cooper:
Proceedings of the 2024 ACM Virtual Global Computing Education Conference V. 1, SIGCSE Virtual 2024, Virtual Event, NC, USA, December 5-8, 2024. ACM 2024
Keynote
- Cynthia Bailey:
Artificial Intelligence Policy: What Computing Educators and Students Should Know. - Wendy Hall:
The Geopolitics of the Internet and Its Implications for the Governance of AI. - Qinghua Zheng:
The Innovative Development of Artificial Intelligence and STEM Education-Cognition and Practice.
Full Papers
- Noha Abdelaziz, Mohammed Farghally, Mostafa Mohammed, Taysir Hassan A. Soliman:
An Interactive Visual Presentation of Core Database Design Concepts. - Erin Anderson
, Claire Donehower Paul:
Integrated Computing (Coding + Social Skills) For Elementary Students with Autism Spectrum Disorder. - John Bacher, Thomas W. Price, James Skripchuk, Wengran Wang, Yang Shi, Keith Tran:
Are Engineering Students Motivated by Interacting With Simulations They Program? A Controlled Study. - Cyril Brom, Ondrej Petír, Filip Dechterenko, Anna Drobná, Anna Yaghobová, Pavel Jezek, Kristina Volná, Katerina Kacerovská:
Clouds, Hacking and App Permissions: Model Lessons for Grades 5-7: Experience Report. - Matei A. Golesteanu, Garrett B. Vowinkel, Ryan E. Dougherty:
Can ChatGPT pass a Theory of Computing Course? - Colton Harper, Alex Enersen:
Scaffolding Student-Generated Analogies in CS1. - Arto Hellas, Juho Leinonen, Leo Leppänen:
Experiences from Integrating Large Language Model Chatbots into the Classroom. - Nicole Herbert:
Breaking Barriers: Overcoming Resistance to Curriculum Indigenisation. - Fiona M. Hollands, Daniella DiPaola, Cynthia Breazeal, Safinah Arshad Ali:
AI Mastery May Not Be For Everyone, But AI Literacy Should Be. - R. Indra, P. D. Parthasarathy, Jatin Ambasana, Spruha Satavlekar:
FlashHack: Reflections on the Usage of a Micro Hackathon as an Assessment Tool in a Machine Learning Course. - Maria Kasinidou, Styliani Kleanthous, Jahna Otterbacher:
"We have to learn to work with such systems": Students' Perceptions of ChatGPT After a Short Educational Intervention on NLP. - Philipp Kather, Christian Scheffer:
Lessons Learned from Integrating a Metaverse App into a CS Math Course to Increase Commuter Student Participation. - Chris Kerslake, Paul Denny, David H. Smith, James Prather, Juho Leinonen, Andrew Luxton-Reilly, Stephen MacNeil:
Integrating Natural Language Prompting Tasks in Introductory Programming Courses. - Amruth N. Kumar:
Auglets: Intelligent Tutors for Learning Good Coding Practices by Solving Refactoring Problems. - Juho Leinonen, Paul Denny:
"Sometimes You Just Gotta Risk It for the Biscuit": A Portrait of Student Risk-Taking. - Colleen M. Lewis, Craig S. Miller, Johan Jeuring, Janice L. Pearce, Andrew Petersen:
Hash Table Notional Machines: A Comparison of 2D and 3D Representations. - Jessica Liebowitz, Timothy J. Hickey
The Internal Internship: Enabling Novel Opportunities for Undergraduate Data Science Experiential Education. - Yumi Chin Yin Lim, Kai Weng:
Automated Coding Challenges Assembly Using Pre-trained Programming Language Models. - Iris Ma, Alberto Krone-Martins, Cristina Videira Lopes:
Integrating AI Tutors in a Programming Course. - Stephen MacNeil, Magdalena Rogalska, Juho Leinonen, Paul Denny, Arto Hellas, Xandria Crosland:
Synthetic Students: A Comparative Study of Bug Distribution Between Large Language Models and Computing Students. - Vedansh Malhotra, Dan Garcia:
Steering Student Behavior and Performance Toward Success with Mastery Learning through Policy Optimization. - Rifat Sabbir Mansur, Clifford A. Shaffer, Stephen H. Edwards:
Mutating Matters: Analyzing the Influence of Mutation Testing in Programming Courses. - Jeremy Marbach, Jacqueline Staub, Dirk Schmerenbeck, Chao Wen:
Predicting Student Performance Using Sequence Models in XLogoOnline. - Pedro Orvalho, Mikolás Janota, Vasco Manquinho:
GitSEED: A Git-backed Automated Assessment Tool for Software Engineering and Programming Education. - Amy Pang, Aadarsh Padiyath, Diego Viramontes Vargas, Barbara Jane Ericson:
Examining the Relationship between Socioeconomic Status and Beliefs about Large Language Models in an Undergraduate Programming Course. - P. D. Parthasarathy, Swaroop Joshi:
Reflections on Incorporating Digital Accessibility in an Operating Systems Course. - Eric Poitras, Brent Crane, Angela A. Siegel:
Generative AI in Introductory Programming Instruction: Examining the Assistance Dilemma with LLM-Based Code Generators. - Aninditha Ramesh, Arav Agarwal, Jacob Arthur Doughty, Ketan Ramaneti, Jaromír Savelka, Majd Sakr:
A Benchmark for Testing the Capabilities of LLMs in Assessing the Quality of Multiple-choice Questions in Introductory Programming Education. - Amane Takeuchi, Aditya Khan, Phuong H. Hoang, Jian Yun Zhuang, Mariana Shimabukuro, Randy J. Fortier, Michael Miljanovic, En-Shiun Annie Lee:
A Faculty Initiative Addressing Gender Disparity at a Small STEM-Focused University: A Case Study. - Laycee Thigpen, Monica M. McGill, Bryan Twarek, Amanda M. Bell:
Piloting a Revised Diagnostic Tool for CSTA Standards for CS Teachers. - Joseph C. Tise, Monica M. McGill:
Validation of an Instrument to Measure Self-Efficacy in Information Security. - Giulia Toti, Guoning Chen:
Teaching CS1 with a Mastery Learning Framework: Changes in CS2 Results and Students' Satisfaction. - Bianca Toto, David A. Joyner:
Coding4Therapy: Enhancing Cognitive and Socio-emotional Skills in Children with ADHD. - Vivian van der Werf, Felienne Hermans, Marcus Specht, Efthimia Aivaloglou:
Promoting Deliberate Naming Practices in Programming Education: A Set of Interactive Educational Activities. - Vivian van der Werf, Felienne Hermans, Marcus Specht, Efthimia Aivaloglou:
Variables and Variable Naming in Popular Programming Textbooks for Children and Novices. - Rebecca Marie Williams, Afrin Unnisa Syed, Krishna Vamsi Kurumaddali:
Increasing Visual Literacy With Collaborative Foraging, Annotation, Curation, and Critique. - Matthew Zahn, Sarah Heckman, Lina Battestilli:
Investigating Students' Perspectives on the Value of Help-Seeking Resources in CS Education.
Short Papers
- Bedour Alshaigy, Virginia Grande, Natalie Kiesler, Amber Settle:
How Do You Solve A Problem Like Recruitment? On The Hiring and Retention of Computing Academics. - Diana Kirk, Andrew Luxton-Reilly, Ewan D. Tempero:
Code Style != Code Quality. - Prerna Ravi, Robert Parks, John Masla, Hal Abelson, Cynthia Breazeal:
"Data comes from the real world": A Constructionist Approach to Mainstreaming K12 Data Science Education. - Craig B. Zilles, Chenyan Zhao, Yuxuan Chen, Evan Michael Matthews, Matthew West:
A Case for Bayesian Grading.
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