Social Media and Language Learning: How: EFL Students Use Online Platforms for Language Learning at the College of Basic Education in Kuwait
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study explores the role of social media platforms in facilitating both academic and social interactions among English as a Foreign Language (EFL) students at the College of Basic Education in Kuwait. The main aim of this study is to investigate EFL students’ perceptions of this use of social media and thus to determine how it can be used to facilitate language learning. A qualitative analysis approach was used, based on semi-structured interviews with 60 college students, to explore how these learners use platforms such as Facebook, X (formerly Twitter) Instagram, and WhatsApp as tools for language learning. Understanding the use of social media for language learning has relevance in the modern world in terms of it enriching EFL learners’ experiences by bridging the gap between formal education and practical language use, highlighting the need to integrate these digital tools into language learning. The findings in this case reveal that social media is a significant tool for facilitating language learning practice, peer collaboration, and access to educational resources, acting as a critical tool for language learning by offering students opportunities to engage in authentic communication, access to diverse linguistic resources, and chances to participate in online communities that foster collaborative learning.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it