Data Sheet 6_Integrating appreciative education with AI-assisted oral training for sustain

A research paper presents a 16-week pilot intervention study with 13 participants, integrating appreciative education with AI-assisted oral training. The study employed a two-phase mixed-methods design, including large-scale surveys (n = 1,044 for anxiety; n = 209 for needs). Author Fangli Zhang published the paper on figshare in April 2026 under a CC-BY-4.0 license.

Use Cases

• Analyze the impact of blended pedagogical models on oral proficiency based on IELTS speaking score improvements.
• Study the relationship between appreciative education and psychological safety in language learning based on qualitative analysis.
• Investigate the reduction of foreign language speaking anxiety among Chinese college students based on survey and intervention results.
• Examine the application of AI-assisted training platforms (FIF) for sustainable language learning based on the described program methodology.

Strengths

• Study reports statistically significant improvements in IELTS speaking scores (p = 0.005) and anxiety reduction (p < 0.001).
• Employs a mixed-methods design with large-scale initial surveys (over 1,000 participants) and a detailed 16-week pilot.
• Provides a replicable pedagogical framework linking to UN Sustainable Development Goal 4.

Limitations

• The dataset is a 72.0 KB PDF research paper; the underlying raw survey or test data is not included.
• Row count and column-level documentation for any underlying data are unknown.
• The pilot intervention scale is limited to 13 participants.

Provenance

Source

Fangli Zhang via figshare.

Collection Method

Two-phase mixed-methods research: large-scale surveys followed by a 16-week pilot intervention with pre/post-tests and reflective journals.

Time Range

Study period not specified; publication date is 2026.

Freshness

Last updated 2026-04-10 05:59:05.

Geography

Focus on Chinese college students.