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ALEKS Placement, Preparation and Learning (ALEKS PPL)

Product or Programme · All products and programmes
Evidence · 3 claims (1 for, 2 mixed) · 1 study (1 design), q2 · 0 of 1 report an effect size · 3 claims rest on one study

Description

ALEKS PPL is McGraw Hill's adaptive mathematics placement and preparation assessment for placing post-secondary students into appropriate college mathematics courses.

Components

  • ALEKS PPL adaptive placement assessment: ALEKS Placement, Preparation and Learning (ALEKS PPL) is an adaptive assessment system based on Knowledge Space Theory that recommends placement in post-secondary mathematics courses. It contains 314 items covering elementary mathematics to precalculus, with a limit of 29 questions. The assessment employs an adaptive querying process where "the student's previous answers affect the choice of the next item to ask." Approximately 97% of assessments reach the maximum limit of 29 questions. Placement recommendations fall into six categories based on item and percentage scores. (Matayoshi et al. (2021))

Claims

Key Sources

  • Matayoshi, J., Cosyn, E., & Uzun, H. (2021). Are We There Yet? Evaluating the Effectiveness of a Recurrent Neural Network-Based Stopping Algorithm for an Adaptive Assessment. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-021-00240-8
Page metadata
Field Value
type product
id aleks-placement-preparation-and-learning-aleks-ppl
title ALEKS Placement, Preparation and Learning (ALEKS PPL)
description ALEKS PPL is McGraw Hill's adaptive mathematics placement and preparation assessment for placing post-secondary students into appropriate college mathematics courses.
status review
product_kind assessment
generated by process:settle-candidates on 2026-10-28
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