BTES-MTT: Blended Training Evaluation Scale for Mandarin Teacher Training

A Blended Training Evaluation Scale for Mandarin Teacher Training (BTES-MTT) was developed based on the CIPP model. The dataset, authored by Jingyi Xie, is hosted on Harvard Dataverse and was last updated on April 25, 2026. It likely contains survey or evaluation data related to assessing blended training programs for Mandarin language instructors.

Use Cases

• Validate the BTES-MTT instrument based on the CIPP model framework mentioned in the description
• Analyze factors influencing the effectiveness of blended training for Mandarin teachers
• Benchmark teacher training program outcomes using a structured evaluation scale
• Develop predictive models for teacher training success based on evaluation metrics

Strengths

• Dataset is based on a defined theoretical framework, the CIPP model
• Last updated date is specified as 2026-04-25 06:03:24
• Author and hosting organization (Harvard Dataverse) are explicitly stated

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Description metadata is limited; actual data quality requires manual inspection after download

Provenance

Source

Harvard Dataverse

Collection Method

Likely developed through a research study to create an evaluation scale

Freshness

Last updated 2026-04-25 06:03:24; freshness should be verified