TED Talks as an ICT Tool to Promote Communicative Skills in EFL Students
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
In many EFL classrooms in Colombia, it is evident how students struggle trying to use English to communicate; nonetheless, with the revolution of ICTs that has taken place in the last years, there is a variety of tools available to support English learning autonomously with applications, blogs, and online courses; however, many of these tools were not originally designed for teaching but can be adapted for such purpose. TED is a website and a downloadable application where videos are shared in which you can see a wide variety of English speakers born in many parts around the world speaking in a fun and familiar manner with the audience about various topics of interest that besides, come along with cultural content, which extends the range of accents, words, expressions, and ways of referring to the same topic. In this action research, we propose a reflection on the incidence of TED talks on the teaching and learning of English as a foreign language. The instruments used to collect data were interviews, questionnaires, and teacher journals. The use of these videos provided the students with all the communicative elements that allowed them to use English to express their ideas. This offers a glimpse of how useful authentic videos and subtitles are when encouraging students to learn English.
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 | 0.002 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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