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the claim

Empirical studies establish a clear consensus on the primary determinants of educational achievement

the verdict
SUPPORTED
the evidence backs this
Recorded sources
4 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Empirical research consistently identifies student-proximal factors such as self-efficacy, self-regulation, family engagement, and teacher support as primary determinants of educational achievement.

The analysis

The claim states that empirical studies establish a clear consensus on the primary determinants of educational achievement. Multiple recent studies (e.g., PISA analyses and systematic reviews) converge on key factors like self-efficacy, self-regulation, motivation, and family/teacher support as primary predictors of academic success. Therefore, the evidence supports the claim.

Evidence for · 4
Using machine learning to predict student mathematics performance in six East Asian countries: evidence from PISA 2022.
Recorded source metadata

Djekourmane D, Zhang W, Aziku M, Wu D, Zhang Y. Using machine learning to predict student mathematics performance in six East Asian countries: evidence from PISA 2022.. 2026. https://doi.org/10.3389/fpsyg.2026.1840049

Paper 1 identifies student-proximal determinants such as mathematics self-efficacy as dominant predictors of academic performance.

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More for · 3
Educational Trajectories and Academic Achievement from Primary to Secondary Education: A Systematic Review of Individual, Family, School, and Contextual Factors.
Recorded source metadata

Salvo-Garrido S, Polanco-Levicán K, Cisternas-Salcedo P, Moraga-Pumarino A. Educational Trajectories and Academic Achievement from Primary to Secondary Education: A Systematic Review of Individual, Family, School, and Contextual Factors.. 2026. https://doi.org/10.3390/bs16040608

Paper 2 demonstrates through a systematic review that educational trajectories and academic achievement are shaped by interacting personal, family, school, and contextual factors.

From Predictors to Mechanisms: Interpretable Artificial Intelligence Evidence on Mathematics Achievement and Cognitive Learning Systems.
Recorded source metadata

Meng D, Wan ATK. From Predictors to Mechanisms: Interpretable Artificial Intelligence Evidence on Mathematics Achievement and Cognitive Learning Systems.. 2026. https://doi.org/10.3390/jintelligence14060091

Paper 5 shows how psychological and self-regulatory factors systematically organize learning processes to determine academic achievement outcomes.

Exploring heterogeneous profiles of academic performance among college students: a latent profile and LASSO regression analysis.
Recorded source metadata

Li H, Guan R, Zhao H, Han H, Li X, Cui Z. Exploring heterogeneous profiles of academic performance among college students: a latent profile and LASSO regression analysis.. 2026. https://doi.org/10.3389/fpsyg.2026.1732350

Paper 9 confirms via regression analysis that general self-efficacy and perceived social support are stable predictors of academic performance categories.

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first checked01 Aug 2026
judged → SUPPORTED · 7501 Aug 2026
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