Data-based Problem Solving

Data-Based Problem Solving is a systematic analytical process that belongs to the genus of decision-making methodologies and is differentiated by its reliance on empirical data collection, interpretation, and iterative analysis to identify, understand, and address specific problems within educational, organizational, or research contexts.

85

Publications

3.9K

Citations

260

Authors

118

Institutions

Publications per year

2017–2026

29

Authors

260

  1. KS
    Kim Schildkamp

    University of Twente, Netherlands

    5 publications · 619 citations

    5

    h-index

  2. EB
    Ellen B. Mandinach

    Educational Testing Service, United States

    4 publications · 377 citations

    4

    h-index

  3. AJ
    Adrie J. Visscher

    University of Twente, Netherlands

    3 publications · 136 citations

    3

    h-index

  4. DL
    Daniel Light

    Education Development Center, United States

    2 publications · 133 citations

    2

    h-index

  5. HS
    Hollylynne S. Lee

    North Carolina State University, United States

    2 publications · 52 citations

    2

    h-index

1–5 of 260

Venues

  1. Studies In Educational Evaluation

    5 publications · 455 citations

    5

    h-index

  2. Teaching and Teacher Education

    3 publications · 294 citations

    3

    h-index

  3. 3

    h-index

  4. Assessment for Effective Intervention

    2 publications · 32 citations

    2

    h-index

  5. Journal of Information Technology

    JIT · 1 publications · 19 citations

    1

    h-index

1–5