Srijita Chakraburty
Computer Science · Indiana University
Publications
22
Citations
72
Est. group size
~1
Recurring co-author estimate
Active years
10
Publishing since 2017
Srijita Chakraburty studies how to teach artificial intelligence (AI) concepts to young students, especially in elementary and middle school. The work involves designing curricula, story-driven educational games, and measurement tools to assess how children understand AI, natural language processing, and automated planning. An earlier line of work touched on tuberculosis screening research.
Publication activity was minimal until around 2022, then grew notably, peaking in 2024 and continuing steadily into 2025-2026.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Step‐by‐step towards understanding artificial intelligence: A scaffolded learning progression for young learners
British Journal of Educational Technology · 2026
- Making AI Planning Visible: Narrative-Centered Goal-Directed AI Reasoning to Foster AI Literacy
Lecture notes in computer science · 2026
- Confidence Outpaces Interest: Upper Elementary AI Attitudes in a Science-Integrated Unit
2026
- Preparing K–12 Students With AI Literacy: Proposed Framework, Progression, and Task Design Principles
ETS Research Report Series · 2025
- Measuring upper-elementary students’ understanding of AI concepts – a Rasch model analysis
Information and Learning Sciences · 2025
- Engaging with Natural Language Processing: An Exploratory Study across Multiple Middle School Grades
Proceedings. · 2025
- Integrating Natural Language Processing in Middle School Science Classrooms: An Experience Report
2024
- Measuring Upper-Elementary Students' Understanding of AI Concepts: A Rasch Model Analysis (Poster 8)
2024
- An Inquiry-Based Learning Approach to a Natural Language Processing Curriculum for Middle-School Students (Poster 1)
2024
- Measuring Upper-Elementary Students' Understanding of AI Concepts: A Rasch Model Analysis (Poster 8)
2024
- An Inquiry-Based Learning Approach to a Natural Language Processing Curriculum for Middle-School Students (Poster 1)
2024
- Learning about NLP in Middle School Science
Proceedings. · 2024
- Supporting Upper Elementary Students in Learning AI Concepts with Story-Driven Game-Based Learning
Proceedings of the AAAI Conference on Artificial Intelligence · 2024
- AI Planning is Elementary: Introducing Young Learners to Automated Problem Solving
2024
- PrimaryAI: Measuring Upper Elementary Student Learning for Artificial Intelligence Concepts and Practices
2023
- Proceedings.×4
- Proceedings of the AAAI Conference on Artificial Intelligence×1
- ETS Research Report Series×1
- The Lancet Respiratory Medicine×1
- Information and Learning Sciences×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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