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Record W4294607259 · doi:10.29165/ajarcde.v7i1.197

Effects of Utilization of Mass Media (Video) in the Academic Performance Children At Risk Due To Pandemic in Grade 2 Pupils of Tayuman Elementary School

2022· article· en· W4294607259 on OpenAlexaboutno aff
FELIPE OCAMPO

Bibliographic record

VenueAJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) · 2022
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperMass mediaQuarter (Canadian coin)AdvertisingPsychologyIntervention (counseling)HistoryBusiness

Abstract

fetched live from OpenAlex

Mass media denotes a section of the media designed to reach a large audience. It can be referred to as a means of public communication such as television, radio and widely circulated newspapers that tend to reach a large audience with similar social characteristics (Mintz, 2015). Thompson (2014), defined mass media as books, magazines, newspapers, radio, television, cinemas, records, tapes and videos. Mass media is as communication media that reach a large audience, especially television, radio and newspaper. Media can be defined broadly as channels of communication. It is considered in terms of its software and hardware (Ogunmilade, 2014). This study therefore hopes to explore the effects of the mass media specifically video lessons on the performance level of the children at risk in Grade 2 coming from different sections of Tayuman Elementary School (TES) This study has 23 respondents who are the children at risk of dropping out from all the sections of Grade Two. These pupils may fail or drop from the school due to their reasons some of which are uncontrolled. The researcher used the tabulated individual average results of the LOA for the second quarter as the initial basis of the study. The second question was taken from the LOA average results of the 23 pupils who were given the intensive intervention using the video lessons apart from the SLMs and other tasks which they accomplished for the Third quarter. The researcher then compared the LOA results after the intervention sessions using video lessons vis a vis before where the pupils did not undergo any intervention. Then the results were tabulated by the researcher to identify the effects of the intervention administered to the pupils. Whether the variable of stopping or dropping out from the school in controllable or not, the researcher used one of the mass media which is video lessons in conducting intervention to these pupils. The video lessons are from the Marungko booklet which is modified by the Grade One teachers of Tayuman Elementary School. This experimental study was carried out to show the effects of watching videos/video lessons in the performance of the selected Grade 2 pupils at risk of dropping out and failure. The finding gave positive results and the videos found out to be beneficial in child’s learning to read and comprehend. Videos help learners put together the ideas of every watching experience.

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)0.000
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 score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.072
GPT teacher head0.367
Teacher spread0.294 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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