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28th ITiCSE 2024: Milan, Italy

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Mattia Monga, Violetta Lonati, Erik Barendsen, Judithe Sheard, James Paterson:
Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2, ITiCSE 2024, Milan, Italy, July 8-10, 2024. ACM 2024

Working Groups

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Sally Hamouda, Linda Marshall, Kate Sanders, Ethel Tshukudu, Oluwatoyin Adelakun-Adeyemo, Brett A. Becker, Emma R. Dodoo, G. Ayorkor Korsah, Sandani Luvhengo, Oluwakemi Ola, Jack Parkinson, Ismaila Temitayo Sanusi:
Working Group Proposal: Computing Education in Africa.
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Tony Clear, Åsa Cajander, Alison Clear, Roger McDermott, Andreas Bergqvist, Mats Daniels, Monica Divitini, Matthew Forshaw, Niklas Humble, Maria Kasinidou, Styliani Kleanthous, Can Kültür, Ghazaleh Parvini, Mohammad Polash, Tingting Zhu:
A Plan for a Joint Study into the Impacts of AI on Professional Competencies of IT Professionals and Implications for Computing Students.
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Sara Hooshangi, Asma Shakil, Subhasish Dasgupta, Karen C. Davis, Mohammed Farghally, KellyAnn Fitzpatrick, Mirela Gutica, Ryan Hardt, Ellie Lovellette, Steve Riddle, Mohammed Seyam:
Experiences of Instructors Who Teach Capstone Courses in Computing Fields.
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Daphne Miedema, Toni Taipalus, Vangel V. Ajanovski, Abdussalam Alawini, Martin Goodfellow, Michael Liut, Svetlana Peltsverger, Tiffany Young:
Curriculum Analysis for Data Systems Education.
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Rita Garcia, Andrew Csizmadia, Janice L. Pearce, Bedour Alshaigy, Olga Glebova, Brian Harrington, Konstantinos Liaskos, Stephanie J. Lunn, Bonnie K. MacKellar, Usman Nasir, Raymond Pettit, Tom Prickett, Sandra Schulz, Craig Stewart, Angela M. Zavaleta Bernuy:
All for One and One for All - Collaboration in Computing Education: Policy, Practice, and Professional Dispositions.
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Ouldooz Baghban Karimi, Alice Gao, Peggy Lindner, Giulia Toti, Rutwa Engineer, Jinyoung Hur, Fiona McNeill, Shanon M. Reckinger, Rebecca Robinson, Anna Sollazzo, Richard Wicentowski:
Exploring Equity, Diversity, and Inclusion in Computer Science Undergraduate Curricula.
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Carsten Schulte, Sue Sentance, Sören Sparmann, Rukiye Altin, Mor Friebroon Yesharim, Martina Landman, Michael T. Rücker, Spruha Satavlekar, Angela A. Siegel, Matti Tedre, Laura Tubino, Henriikka Vartiainen, J. Ángel Velázquez-Iturbide, Jane Waite, Zihan Wu:
Values and Beliefs Underpinning K-12 Computing Education.
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Marjahan Begum, Julia Crossley, Filip Strömbäck, Eleni C. Akrida, Isaac Alpizar Chacon, Abigail Evans, Joshua B. Gross, Pontus Haglund, Violetta Lonati, Chandrika Satyavolu, Sverrir Thorgeirsson:
Designing a Pedagogical Framework for Developing Abstraction Skills.
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James Prather, Juho Leinonen, Natalie Kiesler, Jamie Gorson Benario, Sam Lau, Stephen MacNeil, Narges Norouzi, Simone Opel, Virginia Pettit, Leo Porter, Brent N. Reeves, Jaromír Savelka, David H. Smith IV, Sven Strickroth, Daniel Zingaro:
How Instructors Incorporate Generative AI into Teaching Computing.
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Cruz Izu, Claudio Mirolo, Jürgen Börstler, Harold S. Connamacher, Ryan Crosby, Richard Glassey, Georgiana Haldeman, Olli Kiljunen, Amruth N. Kumar, David Liu, Andrew Luxton-Reilly, Stephanos Matsumoto, Eduardo Carneiro de Oliveira, Seán Russell, Anshul Shah:
Introducing Code Quality in the CS1 Classroom.

Tips, Techniques, and Courseware

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Dieter Meiller, Michael Wiehl, Lucia Bäuml:
Automated Evaluation of Games Programmed in Computer Science Assessments: The use of CodeRunner to validate code written in the Processing Language.
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Richard Glassey, Alexander Baltatzis:
Active Repos: Integrating Generative AI Workflows into GitHub.
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Glenn Strong, Ben North, Sara Fiori, Duncan Wallace, Nina Bresnihan, Brian Gillespie:
Pytch - Supporting your Teaching of Coding in the Classroom.
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Geela Venise Fabic Chee, Arzoo Atiq, Alex Zable, Joshua Burridge, Sadia Nawaz:
Parsons Problems for Professional Learners.
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Sverrir Thorgeirsson, Oliver Graf:
Explaining Algorithms with the Visual Programming Language Algot.
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Adam T. Wynn, Jingyun Wang, Andrea Valente:
Simplifying Multimedia Programming for Novice Programmers: MediaLib and Its Learning Materials.
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Rafael Corsi Ferrão, Igor dos Santos Montagner, Rodolfo Azevedo:
Learn by Example in a Modern Embedded System Course.
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Christian Servin:
Programming Workbook: A Collaborative Coding Fusion (Print and Online) for Mastering Programming Fundamentals.
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Joshua Burridge:
Individualising Assessments at Scale.
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Nuno Fachada:
Databases Without Databases: Projects for Including Database Concepts in Interdisciplinary Curricula with LINQ.

Posters

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Lisa Dion, Maureen D. Neumann:
Creating Art with JavaScript: A Bridget Riley Inspired Coding Lesson.
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Celina Berg, Kezia Devathasan, Michelle Craig:
Test Anxiety, Self-Efficacy & Prior Experience.
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Alyssa Shuang Sha, Bernardo Pereira Nunes, Jiayi Shen:
Investigating the Role of Errors in Programming Learning.
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Robert Whyte, Diana Kirby, Sue Sentance:
Measuring Teacher Self-Efficacy and Careers Awareness in K-12 AI Education.
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Abigail Evans:
Integrating Automated Feedback into a Creative Coding Course.
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Tom Prickett, Julie Walters, Longzhi Yang:
A Preliminary Study of Viewpoints of the Learner-Earner Journey.
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Tobias M. Schifferle, Nina Kollegger:
Combining STEM Education and Equity for Greater Impact in Late K-6 Classrooms.
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Stefan Udelhofen, Jens Dörpinghaus:
IT Professionals in Germany. Labor Market Demands of Computer Science Education and their Perception on Social Media.
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Bernardo Pereira Nunes, Guddu Kaur, April Chan, Sue Sharpe, Rosa R. Soto Ruidias:
Exploring Educational Escape Room as an Assessment Tool for Computer Science Courses.
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Paige Flores, Siddharth Kaza, Blair Taylor:
Fine-Tuning AI to Assist in Building Curriculum for the CIA Triad and Cyber Kill Chain.
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Lukas E. Fässler, Markus Dahinden:
Our Journey to Student-centered Learning: Lessons and Insights from Transitioning Large-scale Programming Courses.
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Wei-Ling Lee, Chiu-Fan Hu, Cheng-Chih Wu:
A STEM Approach to Teach High School Students IoT and AI Concepts: An Air Quality Example.
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Ishan Singh, Tingting Zhu, Andrew Petersen:
Do Storytelling Videos Help Students Learn Abstract Concepts?
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Christopher Bogart, Can Kültür, Eric Keylor, Jaromír Savelka, Majd Sakr:
Course Delivery Methods, Student Success, and Self-efficacy in Introductory Programming.
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Margaret Black:
A Traffic Light CPU for a First Course in Computer Organization.
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Camilla Björn, Viggo Kann:
Students' Understanding of Programming Fluency.
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Bradford W. Mott, Anisha Gupta, Jessica Vandenberg, Srijita Chakraburty, Anne T. Ottenbreit-Leftwich, Cindy E. Hmelo-Silver, J. Adam Scribner, Seung Y. Lee, Krista D. Glazewski, James C. Lester:
AI Planning is Elementary: Introducing Young Learners to Automated Problem Solving.
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Seth Bernstein, Paul Denny, Juho Leinonen, Matt Littlefield, Arto Hellas, Stephen MacNeil:
Analyzing Students' Preferences for LLM-Generated Analogies.
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Brett A. Becker:
Integrating Society, Ethics and the Computing Profession With Computer Science Curricula 2023.
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Can Kültür, Jaromír Savelka, Christopher Bogart, Majd Sakr:
Designing Modular Auto-graded Programming Projects.
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Malhar Pandya, Aditya Kulkarni, Brian Harrington:
A Framework for Evaluating the Impact of Production Quality on Coding Demonstration Videos.
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Gregory W. Hislop, Heidi J. C. Ellis:
Exploring Open Source to Understand Large Software Projects.
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Pedro Guillermo Feijóo García, Nimisha Roy, Olufisayo Omojokun:
Learning by Teaching: Insights on Student-Created Instructional Videos for Large CS Classes.
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Christian Servin, Markus Geissler, Koudjo M. Koumadi, Pam Schmelz, Cara Tang, Cindy Tucker:
Towards Building Data Science 2Y: Data Science Curriculum for Two-Year Programs.
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  - conf/iticse/MilczarskiMO24
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Piotr Milczarski, João Monteiro, Derek O'Reilly:
From Realtime to Online Erasmus+ Mobility and Back Again.
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Mirela Gutica:
Fostering Teamwork in Software Engineering Projects.
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Piotr Milczarski:
Organizing International Intensive Project with Hybrid Elements.
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Keith Quille, Brett A. Becker, Roisin Faherty, Damian Gordon, Miriam Harte, Svetlana Hensman, Markus Hofmann, Keith Nolan, Ciarán O'Leary:
LLMs in Open and Closed Book Examinations in a Final Year Applied Machine Learning Course (Early Findings).
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Keith Nolan, Amanda O'Farrell, Keith Quille, Karen Nolan, Roisin Faherty, Rajesh Jaiswal, Svetlana Hensman, Michael Collins, Miriam Harte, Brett A. Becker:
Enabling Digital Technology in Primary Schools.

Doctoral Consortium

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Nawaf Alajlani:
Educators as Stakeholders within Adaptive Learning.
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Anna Rechtácková:
Developing Automatic Methods for Teaching Code Quality in Introductory Programming.
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Nayla Nasir:
Towards Better Design and Delivery of SE Team Project Courses.
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  - conf/iticse/Kern24
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Bettina M. J. Kern:
Improving Dropout Prediction for Informatics Bachelor Students.
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Bruno Pereira Cipriano:
Towards the Integration of Large Language Models in an Object-Oriented Programming Course.
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Emma Hogan:
Improving Computing Higher Education in Prisons.
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  - conf/iticse/Jaradat24
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Bashira Jaradat:
Integrating Sustainability Cases in Higher Computing Education.
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David Zabner:
A Learning Theory of Programming Language Acquisition.
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Noah Q. Cowit:
A Proposal to Test a Strategy of Interdisciplinary Transfer between Algebra and Computer Science for Self-Efficacy, Optimized Cognitive Load, and Conceptual Understanding.
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Luce-Melissa Kouaho:
Empowering Black Women in Computing: Fostering Inclusion and Belonging through Virtual Communities.
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Lukas Lehner:
A Mental Leap: Impact of Teaching the Math Behind Machine Learning Techniques in K-12.
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Annika Vielsack:
Meaningful Highlighting - Improving Educational IDEs to Enhance Code Comprehension for Programming Novices.
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  - conf/iticse/Grubel24
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Sven Grübel:
Teaching Cybersecurity to High-School Students.
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Alexandra Maximova:
Teaching Programming through Multi-Context Physical Computing.

Panel

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Sherif G. Aly, Brett A. Becker, Amruth N. Kumar, Rajendra K. Raj:
Computer Science Curricula 2023 (CS2023): Rising to the Challenges of Change in AI, Security, and Society.

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