A Sage on a Stage, to Express and Impress: TED Talks for Improving Oral Presentation Skills, Vocabulary Retention and Its Impact on Reducing Speaking Anxiety in ESP Settings
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 impact of using TED Talks on improving oral presentation skills of Business English students and vocabulary uptake/retention. It also assesses the impact of improving such hard cognitive skills on increasing Business majors’ speaking anxiety level. Sequential explanatory mixed method was used, which includes both quantitative and qualitative data collection and analyses. Business students’ oral presentation skills were assessed through Oral Presentation Skills Sheet (OPSS), vocabulary retention was assessed through Vocabulary Uptake/Retention Test (VURT), and speaking anxiety level was assessed through Personal Report of Public Speaking Anxiety (PRPSA) (Mörtberg, Jansson-Fröjmark, Pettersson, & Hennlid-Oredsson, 2018). Participants in the study consist 49 students, who were divided into two groups; experimental group consisting of 24 students, and control group that includes 25 Business English majors. Findings of the study revealed that oral presentation skills and vocabulary uptake/retention levels were improved due to the use of TED talks as an ICT tool. Also, it was revealed that Business majors in the experimental group are more enthusiastic, energetic and motivated to give killer presentations as they became more confident and free of anxiety and tension.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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