Abstract is missing.
- Leveraging Large Language Models to Promote AI-Infused STEM Problem-Solving for Middle School StudentsAnanya Rao, Krish Piryani, Shiyan Jiang, Tiffany Barnes, Jennifer L. Albert, Marnie Hill, Bita Akram. [doi]
- Example Explorers and Persistent Finishers: Exploring Student Practice Behaviors in a Python Practice SystemAllison Poh, Anurata Prabha Hridi, Jordan Barria-Pineda, Peter Brusilovsky, Bita Akram. [doi]
- A Specification For CS Education Dataset DocumentationSamiha Marwan, Austin Cory Bart, Thomas W. Price. [doi]
- Combining Log Data and Collaborative Dialogue Features to Predict Project Quality in Middle School AI EducationConrad Borchers, Xiaoyi Tian 0001, Kristy Elizabeth Boyer, Maya Israel. [doi]
- Investigating the Impact and Student Perceptions of Guided Parsons Problems for Learning Logic with SubgoalsSutapa Dey Tithi, Xiaoyi Tian 0001, Min Chi, Tiffany Barnes. [doi]
- Exploring the Link between Cognitive Abilities and Data Science Skills using Alternative Raven's Progressive MatricesFarshid Farzan, Hasan Mashrique, Andrew M. Olney. [doi]
- Preface [doi]
- Can Motivated Students Do More Activities?Arun Balajiee Lekshmi Narayanan, Michael W. Asher, Peter Brusilovsky, Paulo F. Carvalho. [doi]
- Reinforcement Learning for Programming Feedback: Aligning Small Language Models Without Human PreferencesCharles Koutcheme, Nicola Dainese, Arto Hellas. [doi]
- Grouping and Differentiating Programming Exercises Using Minimal Programming ConstructsKa Weng Pan, Bryn Jeffries, Irena Koprinska. [doi]
- Explainable AI in the Loop: An Instructor-Transformer Collaboration for Improving Explainability and Reliability of Feedback in Introductory Programming ClassroomsMuntasir Hoq, Bradford W. Mott, Seung Y. Lee, Jessica Vandenberg, Narges Norouzi, James C. Lester, Bita Akram. [doi]
- AlgoAce: Retrieval-Augmented Generation for Assistance in Competitive ProgrammingAnav Agrawal, Jill-Jênn Vie. [doi]