Data-informed Teaching

Data-Informed Teaching is an instructional approach that belongs to the category of data-driven educational practices, distinguished by its systematic use of empirical evidence derived from student performance and learning analytics to guide pedagogical decisions, curriculum adjustments, and instructional strategies in real time.

538

Publications

27.9K

Citations

1.2K

Authors

469

Institutions

Publications per year

2017–2026

242

Authors

1.2K

  1. KS
    Kim Schildkamp

    University of Twente, Netherlands

    18 publications · 2.1K citations

    17

    h-index

  2. JA
    Julie A. Marsh

    University of Southern California, United States

    11 publications · 1.7K citations

    11

    h-index

  3. EB
    Ellen B. Mandinach

    Educational Testing Service, United States

    11 publications · 2.1K citations

    11

    h-index

  4. JB
    Jo Beth Jimerson

    Texas Christian University, United States

    11 publications · 666 citations

    10

    h-index

  5. JC
    Jeffrey C. Wayman

    Colorado State University, United States

    9 publications · 988 citations

    9

    h-index

1–5 of 1.2K

Venues

  1. Teaching and Teacher Education

    18 publications · 1.6K citations

    17

    h-index

  2. Studies In Educational Evaluation

    16 publications · 977 citations

    15

    h-index

  3. 13

    h-index

  4. The American Statistician

    9 publications · 253 citations

    9

    h-index

  5. Statistics Education Research Journal

    8 publications · 551 citations

    8

    h-index

1–5