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📄 Research Article

Touching and Feeling the Data: A Reusable Software Pipeline for Tactile Statistical Graphs in Accessible Education

● high · 2026-07-02special-education, equity, adaptive-learning, k-12, higher-ed, llm-in-education, ai-literacy, rag, llm

Lawrence Obiuwevwi, Krzysztof J. Rechowicz, Jessica M. Johnson, Erika Frydenlund, Vikas Ashok, Sachin Shetty, Sampath Jayarathna — IEEE IRI 2026, submitted 1 Jul 2026

Lawrence Obiuwevwi, Krzysztof J. Rechowicz, Jessica M. Johnson, Erika Frydenlund, Vikas Ashok, Sachin Shetty, Sampath Jayarathna — IEEE IRI 2026, submitted 1 Jul 2026

Three-layer JavaScript pipeline (1500 lines) generates tactile 3D-printed statistical graphs for blind/low-vision students in under 250ms, with optional LLM-based chart extraction from images.

Key Contributions

  • Three-layer JavaScript pipeline (1500 lines) generates tactile 3D-printed statistical graphs for blind/low-vision students in under 250ms, with optional LLM-based chart extraction from images.

    • Connections to AI in Education

    This paper contributes to the growing body of research on AI applications in educational settings, specifically in the domains of AI Education, Intelligent Tutoring, and Equity. The findings have implications for how educators design learning experiences that leverage AI while maintaining appropriate pedagogical oversight.

    Connected Concepts

  • AI Education
  • Intelligent Tutoring
  • Equity

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    • Citation

    Lawrence Obiuwevwi, Krzysztof J. Rechowicz, Jessica M. Johnson, Erika Frydenlund, Vikas Ashok, Sachin Shetty, Sampath Jayarathna (2026). Touching and Feeling the Data: A Reusable Software Pipeline for Tactile Statistical Graphs in Accessible Education. arXiv:2607.01214. IEEE IRI 2026, submitted 1 Jul 2026