Mapping Sapia.ai’s Language Skills Assessment to CEFR Standards

Study Details

• Data Sample: 225 candidates’ text responses from the Sapia.ai Chat Interview™.
• Analysis Process: Sapia.ai communication skills  measures were correlated with CEFR levels assigned by a qualified assessor. The study focused on fluency and complexity metrics derived from the text-based interview responses.

Key Findings

• Accurate Assessment: AI can accurately measure and standardise candidates’ written language skills to international CEFR standards.
• Strong Correlation: Sapia.ai’s fluency and complexity scores show high correlation with CEFR levels.
• Consistent and Fair: The CEFR level assessments demonstrate high test-retest reliability and minimal bias across genders and ethnicities, ensuring consistent and fair evaluations.

Key Takeaway
Sapia.ai’s CommScore measures candidates’ written language fluency and complexity. By mapping these scores to CEFR levels through Sapia.ai’s Chat Interview, companies can standardise the assessment of candidates’ language skills, promoting fairer hiring practices. This approach shows how AI can be used to accurately and transparently measure written language proficiency.