Data · dataset · 2024
Dataset on Enhancing Sociopragmatic Competence through AI-Driven Tools: Insights from Real-World Language Interactions
Listed in Teesside University Research Data Repository
Description
This dataset originates from a study titled “Enhancing Sociopragmatic Competence through AI-Driven YouTube Discourse Analysis: A Data-Driven Tool for Real-World Language Interaction Skills.” The study investigates how AI-based tools can enhance learners' sociopragmatic competence by analyzing authentic discourse from YouTube. Using a mixed-methods approach, the research focuses on key sociopragmatic skills, including politeness strategies, turn-taking, face-saving tactics, and conversational implicature.
The dataset includes quantitative assessments from pre- and post-intervention tests, task-based evaluations, and survey responses, as well as qualitative insights gathered from semi-structured interviews. It reflects learners' experiences using AI tools to analyze and practice sociopragmatic strategies in real-world language interactions. Findings from the study demonstrate significant improvements in learners’ sociopragmatic awareness and competence, offering evidence of AI's potential to bridge theoretical knowledge and practical application in language learning.
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This dataset provides a comprehensive resource for educators, researchers, and developers seeking to leverage AI for enhancing language education.
Links
Where it is published
- DOI doi.org/10.17632/fd88gvcgw4.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Artificial intelligence · Computer Science & AI · Earth & Environmental Science · Humanities
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/fd88gvcgw4.1 | 18 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:4602 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Artificial Intelligence'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |