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Record W7102687646 · doi:10.5281/zenodo.17480239

Effects of Technohome Project on the Hands-on-Skills and Academic Performance of Grade 10 Stduents Final

2025· book· W7102687646 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typebook
Language
FieldSocial Sciences
TopicGender and Technology in Education
Canadian institutionsnot available
Fundersnot available
KeywordsAcademic achievementQuarter (Canadian coin)PopulationAcademic yearResearch designData collection

Abstract

fetched live from OpenAlex

The study aimed to determine the extent of effects of TechnoHome Project on the hands-on skills and academic performance of grade 10 students during the School Year 2024-2025. The respondents of the study were the total population of grade 10 students, which is composed of 141 students. They were described in terms of their sex, sibling position, number of children in the family, monthly family income, parents’ educational attainment and parents’ occupation. Descriptive research design was used in the study to determine the extent of effects of TechnoHome Project on the hands-on skills and academic performance of grade 10 students utilizing a researcher-made questionnaire-checklist. The aspects of the extent effects of TechnoHome Project include drawing skills, editing skills, layout integration skills, collaboration and exporting skills. Moreover, the extent of the problems encountered by the students in the utilization of TechnoHome Project was also considered as well. Documentary analysis was also utilized since the level of academic performance of the grade 10 students in Computer, as revealed in the third quarter was used as basis of their 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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient 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 score0.505
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.046
GPT teacher head0.299
Teacher spread0.254 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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