BOPPPS Teaching Model Impact on Clinical Epidemiology Cognitive Performance, 2022-2024

Junqiang Wang's dataset contains 1,938 valid questionnaire responses from postgraduate students at Kunming Medical University, collected between October 2022 and October 2024. The data was used to analyze the impact of a BOPPPS-based blended teaching model on cognitive performance in a Clinical Epidemiology course using a decision tree model. The study found 90.2% of students demonstrated strong overall cognitive performance.

Use Cases

• Modeling factors influencing cognitive performance based on identified key factors like innovation skills and problem-solving ability.
• Analyzing the effectiveness of blended teaching models in postgraduate medical education.
• Comparing student outcomes across different instructional approaches in epidemiology courses.

Strengths

• Dataset includes 1,938 valid questionnaire responses, providing a substantial sample size.
• Study design and data collection period (October 2022 to October 2024) are clearly specified.
• Key influencing factors on cognitive performance were identified through decision tree analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying raw data is unknown, which may limit suitability assessment.
• Data reflects a specific geographic and institutional context (Kunming Medical University).

Provenance

Source

Junqiang Wang via figshare.

Collection Method

Data were collected through an online questionnaire administered via Wenjuanxing (Questionnaire Star).

Time Range

October 1, 2022 to October 1, 2024.

Freshness

Last updated 2026-05-25 06:07:39; freshness should be verified.

Geography

Kunming Medical University, China.