Intelligent assessment and teaching optimisation of college Russian translation based on transformer multimodal representation learning

Key Points

• The aim is to optimize the assessment and teaching methods for Russian translation in college settings using advanced AI techniques.
• Employ transformer multimodal representation learning for educational assessments.
• Analyze college-level Russian translation performance before and after intervention.
• Utilize quantitative metrics to evaluate teaching optimizations.
• Improved translation scores in students exposed to the new assessment method, reported effect size 0.75, p=0.01.
• Enhanced engagement and understanding among students indicated by qualitative feedback.
• Significant differences in performance metrics between traditional and innovative teaching strategies.