Evidence map›Paper›PMID 42835363›Full record

ArticleFrontiers in psychology2026

Capturing learning persistence through fractional dynamic modeling: evidence from secondary school students.

Can Wang, Zheng Pang, Shenghan Wang, Guoyu Niu

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Can WangShandong Second Medical University, Weifang, Shandong, China.
Zheng PangTianjin University, Tianjin, China.
Shenghan WangShandong Second Medical University, Weifang, Shandong, China.
Guoyu NiuShandong Second Medical University, Weifang, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Student academic performance develops through cumulative learning experiences, yet conventional educational performance models generally assume that Educational support and learning behavior variables produce immediate effects. This study proposes a fractional dynamic framework to capture the persistence of learning and examine associations between educational support, learning behavior, and academic performance. Methods: We analyzed micro-level data from 649 Portuguese secondary school students using a fractional-order educational performance model that incorporated educational memory through a fractional formulation. The analysis examined associations between school study support, paid academic assistance, family educational support, attendance behavior, and study time and final academic performance while controlling for academic history and socioeconomic characteristics. Results: The proposed fractional model outperformed the benchmark specification by increasing the adjusted coefficient of determination from 0.849 to 0.886 and reducing the root mean square error from 1.04 to 0.87. The estimated fractional-order parameter (α = 0.83) indicated temporal dependence within the observed academic assessment structure. Family educational support and weekly study time were positively associated with academic performance, whereas student absences and previous academic failures were negatively associated with final achievement. Conclusion: The findings indicate that incorporating educational memory provides a useful representation of temporal dependence in student academic performance. The observed associations between educational support, learning behavior, and achievement provide descriptive evidence that may inform future longitudinal and intervention-based research.

Indexed as

educational memoryeducational support and learning behavior variablesfractional dynamic modelinglearning persistencestudent academic performance

Identifiers

PMID42835363
PMCPMC13635295

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.