Social Network Sites Effectiveness from EFL Students’ Viewpoints
Bibliographic record
Abstract
This study investigated the relationship between EFL students’ experience, attitudes, perceptions, and expectations toward the effectiveness of Social Network Sites (SNS), namely, Facebook, Twitter, YouTube, Instagram, Flickr, Classmates, Academica, MySpace, English baby, and Google+, in English language learning. A survey of 103 participants from different higher education institutions in Saudi Arabia was conducted. The study’s results revealed that the participants had an average SNS experience. The findings also indicated that participants had overall positive attitudes, perceptions, and expectations toward SNS. In addition, the correlations between experience and attitudes, and experience and expectations were statistically significant. Data analysis also showed that the correlations between attitudes and perceptions, attitudes and expectations, and perceptions and expectations were statistically significant. However, experience did not significantly correlate with perceptions. The findings also indicated that the model of the three variables (attitudes, perceptions, and expectations toward SNS) predicting the variable (experience in SNS) was statistically significant: The significant predictor was expectations.
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 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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".