Expert Consensus Assessment for a Metaverse-Supported EFL Module

Yuliang Jiao published expert consensus data on assessment for a blended English as a Foreign Language module supported by the metaverse. The dataset is a 5.5 KB Excel file last updated in April 2026.

Use Cases

• Designing assessment rubrics based on expert consensus on metaverse-supported learning
• Evaluating pedagogical effectiveness based on expert-defined assessment criteria
• Benchmarking blended EFL module performance against expert standards
• Developing training materials for educators based on expert assessment guidelines

Strengths

• Dataset is openly licensed under CC-BY-4.0
• File size is 5.5 KB, indicating a concise and focused dataset

Limitations

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

Provenance

Source

figshare

Freshness

Last updated 2026-04-16 17:39:47; freshness should be verified