Evidence map›Paper›PMID 36975262›Full record

ArticleBehavioral sciences (Basel, Switzerland)2023

How Learning Time Allocation Make Sense on Secondary School Students' Academic Performance: A Chinese Evidence Based on PISA 2018.

Ang Liu, Yuguang Wei, Qi Xiu, Hao Yao, Jia Liu

Open access · goldFull text read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
17.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 20 citations in OpenAlex.

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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

5 authors at 4 institutions in 1 country.

Ang LiuFaculty of Education, East China Normal University, Shanghai 200062, China.ORCID 0000-0002-5921-3671
Yuguang WeiSchool of Politics and Public Administration, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0001-5761-0465
Qi XiuFaculty of Education, East China Normal University, Shanghai 200062, China.ORCID 0000-0003-0002-3299
Hao YaoInstitute of Higher Education, Tongji University, Shanghai 200092, China.ORCID 0000-0002-5794-7129
Jia LiuSchool of Economics and Management, Beihua University, Jilin 132013, China.
East China Normal University · CNBeihua University · CNTongji University · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is well known that the proper allocation of learning time is particularly important for promoting students' academic performance. Based on the data from PISA 2018, this research used the method of threshold regression and quantile regression to explore the optimal length of learning time to promote the students' academic performance. At the same time, this research also explored the heterogeneity of the effect of learning time on different academic levels of students. The results show that for four Chinese provinces and cities, including Beijing, Shanghai, Jiangsu province and Zhejiang province, students who study in rural areas and private schools usually have longer learning time than students in cities and public schools. Moreover, it is suggested that there is no significant association between school quality and students' learning time. The average learning time of students from the four Chinese cities and provinces is obviously longer than that in OECD countries. Moreover, it is found that the impact of learning time on academic performance across subjects is inverted U-shaped, and the optimal study time can be found in the learning of mathematics, science, and reading related subjects. As for the effect of learning time, the results showed that learning time commitment is more effective for students who are academically disadvantaged. At the same time, this study found that there is a relationship between students' excessive learning time and students' subjective well-being and attitudes toward learning activities. The non-cognitive factors can influence students' academic performance gradually. According to the results of this research, it is suggested that students need to balance their learning time allocation against the appropriate learning time standards. Moreover, schools should adopt different learning time allocation schemes for students at different academic achievement levels. The teachers also should uphold a more scientific design of students' after-school homework, and teachers and parents should also focus on improving students' learning efficiency.

Indexed as

academic performancelearning timePISA 2018threshold regression

Identifiers

PMID36975262
PMCPMC10045325
OpenAlexW4323667848

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read1
measurements read20
Read underepoch 390

Registered trials

None linked

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.