Assessment algorithms starts to influence learning environments around 2019
Grader A: hit
Grader B: hit
agrees with A, without seeing its verdict
Audit: confirmed
in the fixed audit sample (D11)
Published: hit
Grader A: hit
NWEA MAP Growth computer-adaptive assessment used in 23-25% of US K-8 public schools (5.2M students fall 2019); state computer-adaptive tests (SBAC) since 2015. Reached before Y.
Test: at least 5% of schools/students assessed by algorithmic (adaptive or auto-scored) assessment by 2021
Grader B: hit
By 2018 Utah, Ohio and others machine-scored state test essays; Pearson's engine scored about 34M essays; adaptive practice software auto-grades routinely. Already past 5% before the placement.
Test: At least 5% of students/assessments graded by algorithm by 2021 (earlier counts).