Alignment Matrices

Alignment Matrices is a systematic framework used in curriculum design and assessment that maps learning outcomes to instructional activities, assessments, and educational standards to ensure coherence and vertical alignment across academic components.

27

Publications

1.4K

Citations

70

Authors

30

Institutions

Publications per year

2017–2026

6

Variants

Curriculum Alignment Matrices

Authors

70

  1. DM
    Donald Metzler

    Google (United States), United States

    2 publications · 217 citations

    2

    h-index

  2. HL
    Hao Lü

    Huazhong University of Science and Technology, China

    2 publications · 98 citations

    2

    h-index

  3. ZC
    Zhiguo Cao

    Huazhong University of Science and Technology, China

    2 publications · 98 citations

    2

    h-index

  4. WW
    Wei Wei

    Northwestern Polytechnical University, China

    2 publications · 98 citations

    2

    h-index

  5. DJ
    Da-Cheng Juan

    Google (United States), United States

    2 publications · 217 citations

    2

    h-index

1–5 of 70

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 243 citations

    3

    h-index

  2. Nucleic Acids Research

    2 publications · 348 citations

    2

    h-index

  3. Bioinformatics

    1 publications · 13 citations

    1

    h-index

  4. 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

    Conference · 1 publications · 24 citations

    1

    h-index

  5. IEEE Journal of Oceanic Engineering

    1 publications · 96 citations

    1

    h-index

1–5