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Record W4386384411 · doi:10.47119/ijrp1001311820235392

Parental Involvement and Academic Performance of Learners

2023· article· en· W4386384411 on OpenAlexaboutno aff
Juanalyn N. Calib-og, Marie Emerald A. Cabigas

Bibliographic record

VenueInternational Journal of Research Publications · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyQuarter (Canadian coin)Academic achievementDevelopmental psychologyPearson product-moment correlation coefficientCorrelationDescriptive statisticsMedical educationMedicineStatistics

Abstract

fetched live from OpenAlex

The primary educators of their children are their parents. Their support impacts childrens growth, learning, and later academic results. This study sought to identify parental involvement in learners academic performance in terms of Parenting, Communication, Volunteerism, Learning at Home, Decision Making, and Community Collaboration, find the level of academic performance of learners in the second quarter and significant relationship of the parental involvement and academic performance. This research was conducted to 232 parents in the East 2 District, Division of Gingoog City. The respondents were selected through Slovins formula. This study utilized the questionnaire from the study of Eldeeb (2018). The study utilized a descriptive correlation research design which used frequency, percentage, mean, and standard deviation. Pearson Product Moment Correlation was used to determine the significant relationship between the variables. Results revealed that parents are involved in their childrens school life, but this does not seem to have a significant impact on their academic performance. The lack of a significant correlation between parental involvement and grades indicates that parents efforts are not always reflected in their childrens performance. Thus, this study recommends that parents will monitor their childrens progress to maximize the effect of their involvement in their childrens academic performance. Future research is also recommended on how parental involvement can impact other aspects of learners academic performance.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.244
Threshold uncertainty score0.184

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.281
GPT teacher head0.531
Teacher spread0.250 · 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 teacher head, 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

Citations2
Published2023
Admission routes1
Has abstractyes

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