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Record W3186053485 · doi:10.5539/elt.v14n8p19

The Role of Facebook in Enhancement of Undergraduates’ Receptive Skills at a Saudi University

2021· article· en· W3186053485 on OpenAlexvenueno aff
Ahmad Qadi

Bibliographic record

VenueEnglish Language Teaching · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyActive listeningPerceptionReading (process)Social mediaMathematics educationCommunicationLinguistics

Abstract

fetched live from OpenAlex

Observing receptive skills development in Saudi Arabia’s undergraduates at Summer University (pseudonym), this paper immaculately investigates students’ perceptions regarding the uses of Facebook as a well-liked forum of social media pertinent to enhancement of Receptive Skill of English, as a foreign language. At greater extent, their approaches have been scrutinized while using Facebook and the nature of influence of Facebook have been examined as well. Data have been collected from seventy-five undergraduate’s students via questionnaire. In addition, findings put forward that Facebook use is exceedingly effectual in mounting students’ listening and reading skills meticulously of English language. Relevantly, some of the probable threats to students’ proficiency have been pointed out. In fewest possible words, the study lucidly concludes that undergraduates, generally speaking, are positive in relation to the role of Facebook in the development of receptive skills while using Facebook, which not only influencing undergraduates to visualize innovative ideas in visual or video formats but also it inspires to communicate in English language.

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)0.003
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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
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 head0.005
GPT teacher head0.258
Teacher spread0.253 · 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
Published2021
Admission routes1
Has abstractyes

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