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ORCID28th ITiCSE 2024: Milan, Italy
- Mattia Monga, Violetta Lonati, Erik Barendsen, Judithe Sheard, James Paterson:
Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, ITiCSE 2024, Milan, Italy, July 8-10, 2024. ACM 2024
Keynote
- Simone Martini:
Teaching Programming in the Age of Generative AI.
Session 1A: Generative AI - Perspectives
- C. Estelle Smith, Kylee Shiekh, Hayden Cooreman, Sharfi Rahman, Yifei Zhu, Md Kamrul Siam, Michael I. Ivanitskiy, Ahmed M. Ahmed, Michael Hallinan, Alexander Grisak, Gabe Fierro:
Early Adoption of Generative Artificial Intelligence in Computing Education: Emergent Student Use Cases and Perspectives in 2023. - Joyce Mahon, Brian Mac Namee, Brett A. Becker:
Guidelines for the Evolving Role of Generative AI in Introductory Programming Based on Emerging Practice. - Tyler Menezes, Lola Egherman, Nikhil Garg:
AI-Grading Standup Updates to Improve Project-Based Learning Outcomes. - Maria Kasinidou, Styliani Kleanthous, Matteo Busso, Marcelo Rodas Britez, Jahna Otterbacher, Fausto Giunchiglia:
Artificial Intelligence in Everyday Life 2.0: Educating University Students from Different Majors.
Session 1B: Feedback
- Imen Azaiz, Natalie Kiesler, Sven Strickroth:
Feedback-Generation for Programming Exercises With GPT-4. - Dominic Lohr, Natalie Kiesler, Hieke Keuning, Johan Jeuring:
"Let Them Try to Figure It Out First" - Reasons Why Experts (Do Not) Provide Feedback to Novice Programmers. - Elijah Rivera, Alexander Steinmaurer, Kathi Fisler, Shriram Krishnamurthi:
Iterative Student Program Planning using Transformer-Driven Feedback. - Charles Koutcheme, Nicola Dainese, Sami Sarsa, Arto Hellas, Juho Leinonen, Paul Denny:
Open Source Language Models Can Provide Feedback: Evaluating LLMs' Ability to Help Students Using GPT-4-As-A-Judge.
Session 1C: Code Quality
- Anna Rechtácková, Radek Pelánek, Tomás Effenberger:
Catalog of Code Quality Defects in Introductory Programming. - Rafael Corsi Ferrão, Igor dos Santos Montagner, Mariana Silva, Craig B. Zilles, Rodolfo Azevedo:
Embedded-check a Code Quality Tool for Automatic Firmware Verification. - Cruz Izu, Claudio Mirolo:
Asking Students to Refactor their Code: A Simple and Valuable Exercise. - David Liu, Jonathan Calver, Michelle Craig:
Are a Static Analysis Tool Study's Findings Static? A Replication.
Session 1D: Errors and Testing
- Valdemar Svábenský, Maciej Pankiewicz, Jiayi Zhang, Elizabeth B. Cloude, Ryan Shaun Baker, Eric Fouh:
Comparison of Three Programming Error Measures for Explaining Variability in CS1 Grades. - Maciej Pankiewicz, Ryan Baker Baker:
Navigating Compiler Errors with AI Assistance - A Study of GPT Hints in an Introductory Programming Course. - Anthony Peruma, Eman Abdullah AlOmar, Wajdi Aljedaani, Christian D. Newman, Mohamed Wiem Mkaouer:
Insights from the Field: Exploring Students' Perspectives on Bad Unit Testing Practices. - Aleksandar Karakas, Denis Helic:
Combining Local Testing with Automatic Commits: Benefits for Progress Tracking and CS2 Students' Learning Experience.
Session 2A: Recursion
- Aviad Baron, Dror G. Feitelson:
Why Is Recursion Hard to Comprehend? An Experiment with Experienced Programmers in Python. - Seth Bernstein, Paul Denny, Juho Leinonen, Lauren Kan, Arto Hellas, Matt Littlefield, Sami Sarsa, Stephen MacNeil:
"Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students Using Large Language Models.
Session 2B: Broadening Participation 1
- Thom Kunkeler, Aletta Nylén:
Capital in Computing Education: Investigating Factors Underlying Participation. - Francisco Enrique Vicente Castro, Earl W. Huff Jr., Amber Solomon, Briana Bettin:
Bringing Our Full Selves Into Computing: Designing, Building, and Fostering Equitable Computing Education Communities.
Session 2C: Computing in Schools 1
- Gabriele Pozzan, Costanza Padova, Chiara Montuori, Barbara Arfé, Tullio Vardanega:
Experimental Analysis of First-Grade Students' Block-Based Programming Problem Solving Processes. - Glenn Strong, Ben North, Brian Gillespie, Sarah Fiori, Duncan Wallace, Nina Bresnihan:
Experiences Trialling a Novel Block-to-text Environment in a Summer School Context.
Session 2C: Teaching
- Pontus Haglund, Linda Mannila, Filip Strömbäck, Aseel Berglund:
Grasping the Unseen: TA Insights into Teaching Subtle Concepts in Computer Science. - Theresa Elstner, Bärbel Hanle, Frank Loebe, Maik Fröbe, Nikolay Kolyada, Janis Mohr, Jörg Frochte, Sven Hofmann, Benno Stein, Martin Potthast:
Classification of Shared Tasks Used in Teaching.
Session 3A: Assessment and Aiutograding
- David H. Smith, Craig B. Zilles:
Code Generation Based Grading: Evaluating an Auto-grading Mechanism for "Explain-in-Plain-English" Questions. - Max Fowler, David H. Smith, Craig B. Zilles:
Quickly Producing "Isomorphic" Exercises: Quantifying the Impact of Programming Question Permutations. - Chinedu Emeka, Matthew West, Craig B. Zilles, Mariana Silva:
A Comparison of Proctoring Regimens for Computer-Based Computer Science Exams.
Session 3B: Computing in Schools 2
- Veronica Cucuiat, Jane Waite:
Feedback Literacy: Holistic Analysis of Secondary Educators' Views of LLM Explanations of Program Error Messages. - Martina Landman, Tobias Kohn:
"Something that Happens Each Day" - Students' Explanations of What Algorithms Are. - Michael Lodi, Maria Cristina Carrisi, Simone Martini:
Big Ideas of Cryptography in Primary School.
Session 3C: Cybersecurity 1
- Valdemar Svábenský, Jan Vykopal, Martin Horák, Martin Hofbauer, Pavel Celeda:
From Paper to Platform: Evolution of a Novel Learning Environment for Tabletop Exercises. - Jan Vykopal, Pavel Celeda, Valdemar Svábenský, Martin Hofbauer, Martin Horák:
Research and Practice of Delivering Tabletop Exercises. - Kamil Malinka, Anton Firc, Pavel Loutocký, Jakub Vostoupal, Andrej Kristofík, Frantisek Kasl:
Using Real-world Bug Bounty Programs in Secure Coding Course: Experience Report.
Session 3D: Databases
- Jens Ehlers:
Teaching Multiple Data Models and Query Languages. - Toni Taipalus, Hilkka Grahn:
Building Blocks Towards More Effective SQL Error Messages. - Carsten Kleiner, Felix Heine:
Enhancing Feedback Generation for Autograded SQL Statements to Improve Student Learning.
Session 3E: Computer Science Thoery
- Kaden Marchetti, Andrija Sevaljevic, Alex Diviney, Caleb Eardley, Russell Phillips, Rajiv Khadka, Daniel Igbokwe, Paul M. Bodily:
Redux: An Interactive, Dynamic Knowledge Base for Teaching NP-completeness. - Marco T. Morazán, Tijana Minic:
Nondeterministic to Deterministic Finite-State Machine Visualization: Implementation and Evaluation. - Eliot Wong Robson, Sam Ruggerio, Jeff Erickson:
FSM Builder: A Tool for Writing Autograded Finite Automata Questions.
Session 4A: Generative AI - Programming
- Lauren E. Margulieux, James Prather, Brent N. Reeves, Brett A. Becker, Gozde Cetin Uzun, Dastyni Loksa, Juho Leinonen, Paul Denny:
Self-Regulation, Self-Efficacy, and Fear of Failure Interactions with How Novices Use LLMs to Solve Programming Problems. - Paul Denny, David H. Smith, Max Fowler, James Prather, Brett A. Becker, Juho Leinonen:
Explaining Code with a Purpose: An Integrated Approach for Developing Code Comprehension and Prompting Skills. - Nicholas Gardella, Raymond Pettit, Sara Lu Riggs:
Performance, Workload, Emotion, and Self-Efficacy of Novice Programmers Using AI Code Generation. - Annapurna Vadaparty, Daniel Zingaro, David H. Smith IV, Mounika Padala, Christine Alvarado, Jamie Gorson Benario, Leo Porter:
CS1-LLM: Integrating LLMs into CS1 Instruction.
Session 4B: EDI
- Rukiye Altin, Andreas Mühling:
Why Female Students Are Dropping out of CS Programs. - Benjamin T. Fine:
Competency and Equity Driven Grading System for Computer Science Curriculum. - Isabella Lopez, Sanorita Dey:
"You Don't See Too Many of Me, Too Many of Us, in That Area": Exploring the Challenges and Opportunities of Promoting STEM Education Among Black and Latinx Students. - Ismael Villegas Molina, Audria Montalvo, Shera Zhong, Mollie Jordan, Adalbert Gerald Soosai Raj:
Generation and Evaluation of a Culturally-Relevant CS1 Textbook for Latines using Large Language Models.
Session 4C: Professional Skills
- Rutwa Engineer, Naaz Sibia, Michael Kaler, Bogdan Simion, Lisa Zhang:
Early Computer Science Students' Perspectives Towards The Importance Of Writing. - Stacy A. Doore, Qingyi Cao, Cynthia Zafiris:
Student Perceptions of Computer Science as a Profession. - Tom Prickett, Tom Crick, James H. Davenport, David S. Bowers, Alan Hayes, Alastair Irons:
Embedding Technical, Personal and Professional Competencies in Computing Degree Programmes. - Natalie Kiesler, Amruth N. Kumar, Bonnie K. MacKellar, Renée McCauley, Mihaela Sabin, John Impagliazzo:
Students' Perceptions of Behaviors Associated with Professional Dispositions in Computing Education.
Session 4D: Plagiarism
- Fahad Ebrahim, Mike Joy:
Semantic Similarity Search for Source Code Plagiarism Detection: An Exploratory Study. - Ashley Pang, Frank Vahid:
ChatGPT and Cheat Detection in CS1 Using a Program Autograding System. - Ashley Pang, Frank Vahid:
Performance Analysis and Interviews of Non-CS-Major Students Sanctioned for Cheating in CS1. - Benjamin Denzler, Frank Vahid, Ashley Pang, Mariam Salloum:
Style Anomalies Can Suggest Cheating in CS1 Programs.
Session 5A: Virtual Tutors
- Suqing Liu, Zezhu Yu, Feiran Huang, Yousef Bulbulia, Andreas Bergen, Michael Liut:
Can Small Language Models With Retrieval-Augmented Generation Replace Large Language Models When Learning Computer Science? - Patrick Bassner, Eduard Frankford, Stephan Krusche:
Iris: An AI-Driven Virtual Tutor for Computer Science Education. - Laura Farinetti, Lorenzo Canale:
Chatbot Development Using LangChain: A Case Study to Foster Critical Thinking and Creativity. - Paul Denny, Stephen MacNeil, Jaromír Savelka, Leo Porter, Andrew Luxton-Reilly:
Desirable Characteristics for AI Teaching Assistants in Programming Education.
Session 5B: Emotions, Confidence and Belonging
- Sven Strickroth:
Exploring Students' Self-Confidence in Their Programming Solutions. - Anshul Shah, Vardhan Agarwal, William G. Griswold, Leo Porter, Adalbert Gerald Soosai Raj:
In-Person vs Blended Learning: An Examination of Grades, Attendance, Peer Support, Competitiveness, and Belonging. - Natalia Silvis-Cividjian, Joshua Kenyon, Elina Nazarian, Stijn Sluis, Martin Gevonden:
On Using Physiological Sensors and AI to Monitor Emotions in a Bug-Hunting Game. - Laura Tubino, Andrew Cain:
Fostering and Assessing Dispositions by providing Grades a Meaning in a Computing Education Context.
Session 5C: Autograding
- Andres Felipe Zambrano, Maciej Pankiewicz, Amanda Barany, Ryan Shaun Baker:
Ordered Network Analysis in CS Education: Unveiling Patterns of Success and Struggle in Automated Programming Assessment. - Chad Hogg:
A Case For Reflection In Autograding. - Jonathan Beaumont, Kathryn Wakevainen:
Scalable Autograding for Quantum Programming Assignments. - Ruben Acuña, Ajay Bansal:
Improving Student Learning with Automated Assessment.
Session 5D: Ethics
- Natalie Kiesler, Simone Opel, Carsten Thorbrügge:
With Great Power Comes Great Responsibility - Integrating Data Ethics into Computing Education. - Virginia Grande, Natalie Kiesler, María Andreína Francisco Rodríguez:
Student Perspectives on Using a Large Language Model (LLM) for an Assignment on Professional Ethics. - Mikko Apiola, Henriikka Vartiainen, Matti Tedre:
First Year CS Students Exploring And Identifying Biases and Social Injustices in Text-to-Image Generative AI. - Alexi Brooks:
Agile Ethics: A Low Stakes, Skills-based Framework for Teaching CS Ethics.
Session 6A: Live Coding
- Sven Strickroth:
Scalable Feedback for Student Live Coding in Large Courses Using Automatic Error Grouping. - Andrea Watkins, Craig S. Miller, Amber Settle:
Comparing the Experiences of Live Coding versus Static Code Examples for Students and Instructors. - Anshul Shah, Fatimah Alhumrani, William G. Griswold, Leo Porter, Adalbert Gerald Soosai Raj:
A Comparison of Student Behavioral Engagement in Traditional Live Coding and Active Live Coding Lectures. - Oliver Graf, Sverrir Thorgeirsson, Zhendong Su:
Assessing Live Programming for Program Comprehension.
Session 6B: Tools and Environments
- José Colin, Sébastien Hoarau, Christophe Declercq, Julien Broisin:
Design and Evaluation of a Web-based Distributed Pair Programming Tool for Novice Programmers. - David J. Malan:
Containerizing CS50: Standardizing Students' Programming Environments. - Michelle Le Pham, Anna Nguyen, Rebecca Schreib:
MemStep: An Interactive Tool for Constructing and Visualizing the Run-Time Memory Layout of Java Programs. - Jaxton Winder, Erik Falor, Seth Poulsen, John Edwards:
The Shell Tutor: An Intelligent Tutoring System For The UNIX Command Shell And Git.
Session 6C: Software Engineering
- Stan Kurkovsky, Chad A. Williams, Mikey Goldweber, Nathan Sommer:
External Projects and Partners: Addressing Challenges and Minimizing Risks from the Outset. - Roshan Rajapakse, Claudia Szabo:
Code Refactoring Strategies of Third Year Software Engineering Students. - Jialin Cui, Fangtong Zhou, Chengyuan Liu, Qinjin Jia, Yang Song, Edward F. Gehringer:
Utilizing the Constrained K-Means Algorithm and Pre-Class GitHub Contribution Statistics for Forming Student Teams. - Jialin Cui, Runqiu Zhang, Ruochi Li, Fangtong Zhou, Yang Song, Edward F. Gehringer:
A Comparative Analysis of GitHub Contributions Before and After An OSS Based Software Engineering Class.
Session 6D: Block Based Programming
- Madison Book, Lina Battestilli, Sarah Khan, Elaine B. Bohórquez:
Investigating Academic Confidence, Workload Stress, and Performance in a BlendFlex Computer Science Course. - Duarte Pereira, Fernanda Barbosa, Carmen Morgado:
NextBlocks: An Interactive Block Programming Platform. - Aryobarzan Atashpendar, Steffen Rothkugel:
Block-Based Programming for Mobile with Conventional Exceptions and Automatic Evaluation. - Oladele O. Campbell, Ismaila Temitayo Sanusi, Harrison I. Atagana:
From Visual Arts to Programming: Exploring the Impact on Achievement in Constructionist College CS1 Classes.
Session 7A: Cybersecurity 2
- Shan Huang, Jiwoo Lee, Chenyan Zhao, Geoffrey L. Herman, Marc Olano, Linda Oliva, Alan T. Sherman:
A User Experience Study of MeetingMayhem: A Web-Based Game to Teach Adversarial Thinking. - Wolfgang Vigl, Svetlana Abramova:
Design and Use of Privacy Capture-the-Flag Challenges in an Introductory Class on Information Privacy and Security. - Madison Thomas, Erynn Elmore, Brenda Chavez, Ronaisha Ruth, Charlotte Avery, Michel Cukier, Veronica Cateté:
Equitable Access to Cybersecurity Education: A Case Study of Underserved Middle School Students.
Session 7B: Computing in Schools 3
- Matthew Frazier, Kostadin Damevski, Lori L. Pollock:
Customizing ChatGPT to Help Computer Science Principles Students Learn Through Conversation. - Stefan Pasterk, Gertraud Benke:
Computational Thinking for Self-Regulated Learning. - Lukas Höper, Carsten Schulte, Andreas Mühling:
Students' Motivation and Intention to Engage with Data-Driven Technologies from a CS Perspective in Everyday Life.
Session 7C: Curriculum and Learning Resources
- Yige Chen, Bernardo Pereira Nunes:
Stubents: Videos Created by and for Students, Active Learning Resources in Large and Diverse Computer Science Classrooms. - Kevin Buffardi, JoAna Brooks, David Alexander:
Designing a CURE for CS1. - Austin Cory Bart, Megan Englert, John Aromando, Hye Rin Lee, Teomara Rutherford:
The CS1 Python Bakery: A Modern "Batteries Included" Open-Source Curriculum with All the Fixings.
Session 7D: Parsons Problems
- Zihan Wu, David H. Smith:
Evaluating Micro Parsons Problems as Exam Questions. - Felipe Sanhueza, Francisco J. Gutierrez, Andrea Vásquez:
Exploring the Acceptance and Effectiveness of Parsons Problems on Scaffolding CS1 Retakers. - Andre Del Carpio Gutierrez, Paul Denny, Andrew Luxton-Reilly:
Automating Personalized Parsons Problems with Customized Contexts and Concepts.
Session 7E: Broadening Participation 2
- Ashish Amresh, Jeffrey Allen Hovermill, Wei Yan, Paige Prescott:
Broadening Computing Participation in the Navajo Nation. - Emma Hogan, John Driscoll, Adalbert Gerald Soosai Raj, William G. Griswold, Leo Porter:
Uncovering Meaningful Computing Contexts for Incarcerated College Students.
Session 8A: Supporting Students
- Ali Malik, Juliette Woodrow, Chao Wang, Chris Piech:
TeachNow: Enabling Teachers to Provide Spontaneous, Realtime 1: 1 Help in Massive Online Courses. - Fiona McNeill, Ojaswee Bajracharya, Charlie Myszkowski:
Building Student Support for Computing Students: How Do Students Respond to Different Models?
Session 8B: Student Engagement
- Asma Shakil, Paul Denny:
Enhancing Student Engagement in Large-Scale Capstone Courses: An Experience Report. - Hedayat Zarkoob, Siddharth Nand, Kevin Leyton-Brown, Giulia Toti:
Agora: Motivating and Measuring Engagement in Large-Class Discussions.
Session 8C: Computing Education Researrch and Computer Graphics
- Ismaila Temitayo Sanusi, Ethel Tshukudu:
Exploring Barriers and Strategies to boost Scientific Output in Computing Education in Africa: Early Insights. - Amani Najimudeen, Anne-Kathrin Peters:
Exploring Perception in Computer Graphics Education: A Swedish Perspective.
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