YouTube SML Dataset — Public Sentiment Toward AI Tools in Education (VADER Analysis, March 2026)
Fuente:
Zenodo
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Recurso digital |
| Lenguaje: | inglés |
| Publicado: |
Zenodo
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866901448195833856 |
|---|---|
| author | ARITZIS, THEOFANIS |
| author_facet | ARITZIS, THEOFANIS |
| contents | <p>YouTube comment dataset collected via the YouTube Data API v3 (March 2026) across 5 thematic categories: AI as Teaching Tool, Educator Anxiety, Student Adoption and Academic Integrity, Ethics and Surveillance, and Sustainability of AI-Driven Education. A total of 628 comments were collected from high-engagement videos and analysed using VADER sentiment analysis (Hutto & Gilbert, 2014). Data collected as part of Master's thesis research, LEADS MSc programme, Jönköping University, Sweden. Methodology: YouTube Social Media Listening (SML) + VADER. Results: Theme 1 (AI Teaching Tool): 58.6% Positive; Theme 2 (Educator Anxiety): 63.3% Positive; Theme 3 (Student Adoption): 62.3% Positive; Theme 4 (Ethics/Surveillance): 44.4% Positive, 37.8% Negative; Theme 5 (Sustainability): 44.4% Positive, 44.4% Neutral.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19313297 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | YouTube SML Dataset — Public Sentiment Toward AI Tools in Education (VADER Analysis, March 2026) ARITZIS, THEOFANIS ai education chatgpt vader highereducation <p>YouTube comment dataset collected via the YouTube Data API v3 (March 2026) across 5 thematic categories: AI as Teaching Tool, Educator Anxiety, Student Adoption and Academic Integrity, Ethics and Surveillance, and Sustainability of AI-Driven Education. A total of 628 comments were collected from high-engagement videos and analysed using VADER sentiment analysis (Hutto & Gilbert, 2014). Data collected as part of Master's thesis research, LEADS MSc programme, Jönköping University, Sweden. Methodology: YouTube Social Media Listening (SML) + VADER. Results: Theme 1 (AI Teaching Tool): 58.6% Positive; Theme 2 (Educator Anxiety): 63.3% Positive; Theme 3 (Student Adoption): 62.3% Positive; Theme 4 (Ethics/Surveillance): 44.4% Positive, 37.8% Negative; Theme 5 (Sustainability): 44.4% Positive, 44.4% Neutral.</p> |
| title | YouTube SML Dataset — Public Sentiment Toward AI Tools in Education (VADER Analysis, March 2026) |
| topic | ai education chatgpt vader highereducation |
| url | https://doi.org/10.5281/zenodo.19313297 |