Learning Analytics For Accessibility

Learning Analytics for Accessibility is a scholarly framework that systematically leverages educational data to identify, evaluate, and enhance equitable learning experiences by adapting instructional practices and materials to meet diverse accessibility needs within the context of Universal Design for Learning.

5

Publications

140

Citations

17

Authors

8

Institutions

Publications per year

2017–2026

3

Authors

17

  1. NK
    Nazgul Karasartova

    Azerbaijan State Pedagogical University, Azerbaijan

    1 publications · 36 citations

    1

    h-index

  2. RI
    Rapiia Isaeva

    Azerbaijan State Pedagogical University, Azerbaijan

    1 publications · 36 citations

    1

    h-index

  3. BS
    Bertrand Schneider

    Stanford University, United States

    1 publications · 25 citations

    1

    h-index

  4. CS
    Caterina Senette

    Institute of Informatics and Telematics, Italy

    1 publications · 18 citations

    1

    h-index

  5. MC
    Maria Claudia Buzzi

    Institute of Informatics and Telematics, Italy

    1 publications · 18 citations

    1

    h-index

1–5 of 17

Venues

  1. Journal of Research on Technology in Education

    JRTE · 1 publications · 21 citations

    1

    h-index

  2. 1

    h-index

  3. Journal for STEM Education Research

    1 publications · 25 citations

    1

    h-index

  4. Information

    1 publications · 20 citations

1–4