Publications Archive (Keywords)
Who Succeeds in ECS? An Investigation into Post-ECS CS Computational Thinking Among Chicago Public Schools StudentsThis report examines which students benefit most from CPS's ECS implementation by analyzing how prior ability, demographics, performance, attitudes, and teacher practices predict computational thinking skills.
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Nov 2025 |
Automatic Short Answer Grading for Computer Science Placement Exam with Meta Llamathis project explores the use of large language models (LLMs), specifically Meta's open-source Llama family, for automatic short answer grading (ASAG) in a computer science placement exam.
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Aug 2025 |
Using Placement Scores for AP CSP in Chicago Public SchoolsThis paper validates the use of a placement exam to support decision-making on which CS course would be the best 1st experience.
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Jul 2025 |
CAFÉCS Data Driven InsightsThis presentation to the CPS Data Analyst User Group highlights the ways in which The Learning Partnership has used CPS data to draw insights into the ways that the CPS Computer Science Team has been supporting computer science for all.
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May 2025 |
Using Rasch Modeling to Validate AI Scoring ModelsThis study explores the development and validation of AI scoring models for assessments related to the Exploring Computer Science curriculum.
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Apr 2025 |
Celebrating the Success of CPS Computer Science StudentsCelebrate the success of CPS's fifth cohort fulfilling the CS graduation requirement. At this symposium, we shared research on expanding CS opportunities and showcased inspiring stories from students and teachers.
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Aug 2024 |
Using an Evidence-Centered Design Approach to Examine the Alignment of Computer Science Curricula with StandardsThis paper explores the evolution of K-12 Computer Science (CS) curriculum, emphasizing the transition from interest-sparking to standards-aligned approaches.
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Jun 2024 |
Assessing Students’ Growth in Computer Science Knowledge: Applying Diagnostic Classification ModelingThis paper presents the results of the application of Cognitive Diagnostic Modeling to the ECS pre and post assessments.
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Apr 2024 |