Praise-Speak Program: Study on AI-Assisted Oral Training for EFL Learners in China

Chinese college students participated in a study on foreign language speaking anxiety and oral proficiency. The research employed a two-phase mixed-methods design, including large-scale surveys (n = 1,044 and n = 209) and a 16-week pilot intervention with 13 participants. The dataset, authored by Fangli Zhang and last updated in April 2026, is a 75.8 KB PDF containing the study's results and analysis.

Use Cases

• Analyzing the relationship between appreciative education and speaking anxiety reduction based on the study's qualitative findings.
• Evaluating the effectiveness of blended AI-human pedagogical models for oral proficiency based on IELTS score improvements.
• Studying the mechanisms of psychological safety in language learning based on the identified core outcomes.
• Investigating data collection methods for educational interventions based on the described mixed-methods design.

Strengths

• Study design includes both quantitative (n=1,044 survey) and qualitative (13-participant intervention) components.
• Results show statistically significant improvements (p=0.005 for IELTS scores, p<0.001 for anxiety reduction).
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is a 75.8 KB PDF report, not raw tabular or structured data.
• The primary data from surveys and tests is not directly included; the file contains the analysis and results.

Provenance

Source

Fangli Zhang, via figshare.

Collection Method

Data gathered through a two-phase mixed-methods study involving surveys and a pilot intervention.

Time Range

Study period included a 16-week pilot intervention.

Freshness

Last updated 2026-04-10 05:59:08; freshness should be verified.

Geography

Focus on Chinese college students.