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Adapted Personalized Learning Continuum Framework (PLCF)

Research Method · All research methods
Evidence · 1 claim (1 for) · 1 study (1 quant-synthesis), q4 · 1 of 1 report an effect size · 1 claim rests on one study

Description

The article adapts the Personalized Learning Continuum Framework of Lokey-Vega and Stephens (2019) as an analytical lens for classifying AI-enabled personalized learning models along the proportion of Academic Learning Time spent on automated versus student-centered pedagogies and the distribution of power and agency. Model A is "fully automated, with 100% of ALT delivered through an adaptive platform and minimal teacher or peer involvement"; Model B is a balanced hybrid; Model C is learner-driven with 80% collaborative, project-based learning. The framework served as the coding scheme for the learning-model-type moderator in the meta-analysis.

Accounts

  • Adapted Personalized Learning Continuum Framework (PLCF) for categorizing AI-enabled personalized learning models: The article adapts the Personalized Learning Continuum Framework of Lokey-Vega and Stephens (2019) as an analytical lens for classifying AI-enabled personalized learning models along the proportion of Academic Learning Time spent on automated versus student-centered pedagogies and the distribution of power and agency. Model A is "fully automated, with 100% of ALT delivered through an adaptive platform and minimal teacher or peer involvement"; Model B is a balanced hybrid; Model C is learner-driven with 80% collaborative, project-based learning. The framework served as the coding scheme for the learning-model-type moderator in the meta-analysis. (Li et al. (2025))

Claims

Key Sources

  • Li, S., Zeng, C., Liu, H., Jia, J., Liang, M., Cha, Y., Lim, C. P., & Wu, X. (2025). A meta-analysis of AI-enabled personalized STEM education in schools. International Journal of STEM Education. https://doi.org/10.1186/s40594-025-00566-y
Page metadata
Field Value
type research-method
id adapted-personalized-learning-continuum-framework-plcf
title Adapted Personalized Learning Continuum Framework (PLCF)
description The article adapts the Personalized Learning Continuum Framework of Lokey-Vega and Stephens (2019) as an analytical lens for classifying AI-enabled personalized learning models along the proportion of Academic Learning Time spent on automated versus student-centered pedagogies and the distribution o
status review
generated by process:settle-candidates on 2026-10-15
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