Perceptions of Using Social Media as an ELT Tool among EFL Teachers in the Saudi Context
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
<p>Social media technologies have undeniably become an integral part of people’s lives and they have been widely used amonsgest the new genrations, particularly, university students. This widespread of social media technologies has certainly made a huge impact on the way people learn and interact with each other resulting in the emergence of communities of learning that are supported by collective intelligence. This study is based on quantitative methods using a survey instrument to gather descriptive data regarding the perceptions of seventy-five (<em>n=75) </em>randomly chosen male and female English as a Foreign Language (EFL) teachers at two Saudi tertiary institutions. The study utilized a 14 Likert scale statements where each statement had five Likert-type items for the participants to choose from. Analysis of the gathered data indicated that the majority of the participants believe strongly in the pedagoocal values and benefits of using social media as an ELT tool in the EFL classes in the Saudi context. Nevertheless, the majority expressed reservations with regards to the extent to which social media can be freely allowed to be used in the EFL classroom where they perceive it as having a double edged sword effect and that is mainly due to some undesired distractions that some students may resort to which may occasionaly result in the opposite of the intended effect of their usage. The study recommends more research studies in this area so as to closely understand how experienced EFL teachers utilize social media in their classes in order to develop best practices for implementing social media in teaching and learning in EFL in the Saudi contexts</p>
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.
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 | 0.006 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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