Praise-Speak Program Data: AI-Assisted Oral Training and Speaking Anxiety Study

A 16-week pilot intervention with 13 participants demonstrated statistically significant improvements in IELTS speaking scores (p = 0.005) and reduced speaking anxiety (p < 0.001). This dataset, authored by Fangli Zhang and last updated in April 2026, contains research on a blended pedagogical model integrating appreciative education with AI-assisted oral training for Chinese college EFL learners.

Use Cases

• Analyze the relationship between pedagogical interventions and speaking anxiety reduction based on the pretest-posttest design.
• Study the mechanisms of technology-humanism synergy in language learning based on the qualitative reflective journal analysis.
• Investigate the impact of appreciative education on intrinsic motivation for EFL learners based on the described pedagogical framework.
• Model the effects of blended learning on oral proficiency scores based on the reported IELTS speaking score improvements.

Strengths

• Research is grounded in a two-phase mixed-methods design involving large-scale surveys (n = 1,044 and n = 209).
• Results include statistically significant quantitative findings (p-values reported) supported by qualitative analysis.
• Dataset is openly licensed under CC-BY-4.0, facilitating reuse and analysis.

Limitations

• The primary data file is a 55.1 KB PDF, which is a small research paper; underlying raw survey or journal data is not directly available.
• Column-level documentation is absent; field semantics must be inferred from the paper after download.
• The study's participant scale for the intervention phase is limited to 13 students.

Provenance

Source

Fangli Zhang, published on figshare.

Collection Method

Data collected via large-scale surveys and a 16-week pilot intervention using pretest-posttest design and reflective journals.

Time Range

Study period includes a 16-week intervention; specific years are not stated.

Freshness

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

Geography

The study focuses on Chinese college students.