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The Influence of Social Media, Family Religious Education, School Religious Environment, and Religiosity on High School Students' Morality in Pekanbaru

2025· article· en· W4414033976 on OpenAlexaff
Evi Rahayu, Neni Neni, Maralottung Siregar

Bibliographic record

VenueJurnal Pendidikan Progresif · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Methods and Impacts
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsReligiosityMoralityPsychologySocial psychologyReligious educationSociologyReligious identityPedagogyPolitical scienceLaw

Abstract

fetched live from OpenAlex

The Influence of Social Media, Family Religious Education, School Religious Environment, and Religiosity on High School Students' Morality in Pekanbaru. Objective: This study investigates the influence of social media, family religious education, school religious environment, and personal religiosity on the morality of students in private Islamic senior high schools in Pekanbaru. The focus is on understanding how both internal and external factors interact to shape students’ moral values, particularly in the context of increasing digital media exposure. Methods: A quantitative research approach with a correlational design was employed. The population included students from several private Madrasah Aliyah (Islamic senior high schools) in Pekanbaru. Data collection was conducted using validated questionnaires to ensure accuracy and reliability. Statistical analyses included descriptive statistics to summarize the data, Pearson correlation to measure the strength and direction of relationships among variables, and multiple linear regression to determine the combined predictive power of the independent variables. All analyses were performed using SPSS software. Findings: The results revealed that all four independent variables had significant positive correlations with students’ morality. Among them, personal religiosity emerged as the strongest predictor, suggesting that an individual’s internalized religious beliefs and practices play a central role in moral behavior. This was followed by family religious education, highlighting the importance of parental guidance in shaping moral character. Social media showed a positive but less dominant influence, indicating its potential role in reinforcing moral values when used constructively. The school religious environment also contributed positively, though to a lesser extent than the other factors. The regression model was statistically significant, with an R² value of 0.575, meaning that 57.5% of the variation in morality could be explained by these four predictors. Conclusion: The study concludes that students’ moral development is influenced by a combination of internal factors (such as personal religiosity) and external factors (including family, school, and social media). These findings underscore the importance of collaborative efforts among families, schools, and society to promote moral values, especially in today’s digital age. Keywords: morality, social media, family religious education, school religious environment, personal religiosity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.363
Teacher spread0.348 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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