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Record W4307131427 · doi:10.5430/wje.v12n5p40

Suitable Homework Boosts Highschool Learning Effects

2022· article· en· W4307131427 on OpenAlexvenueno aff
Duli Pllana

Bibliographic record

VenueWorld Journal of Education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyTask (project management)Consistency (knowledge bases)Mathematics educationVariety (cybernetics)Outcome (game theory)Medical educationPedagogyComputer science

Abstract

fetched live from OpenAlex

Highschool homework as an integral part of the study skills benefits students' learning outcomes significantly. Consistency of completing homework contributes to rising scores in any given assignment such as quizzes, regular tests, standardized tests, etc. The purpose of homework aims at different targets and it is designed for specific groups and occasions. Generally, there are four types of homework: a) Practice, b) Preparatory, c) Extension, and d) Integration. On the other hand, there is a great variety of homework with various tasks. The daily length of the high school assignments is within the frame time of ninety minutes to three hours. Too long or too short time consuming on completing the task does not result effectively in positive learning outcomes. The optimal time for completing an assignment resonates with the Aristotle mean, and it provides maximum benefits in learning outcome. Despite the fact of the dispute between education stockholders on benefits of homework, they still agree that homework elevates study skills to a certain degree with regard to the exams or study skills.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.462
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.336
Teacher spread0.318 · 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.

Study designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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