Student Employment Guidance and Teaching Management Based on LightGBM Algorithm

Key Points

• This research aims to explore the effectiveness of the LightGBM algorithm in guiding student employment and managing teaching strategies.
• Utilized the LightGBM algorithm for data analysis.
• Evaluated student employment patterns and teaching management strategies.
• Conducted a comparative analysis of algorithm-driven guidance versus traditional methods.
• The LightGBM algorithm improved guidance efficiency in student employment by 25%.
• Teaching management satisfaction increased by 30% with algorithm-based recommendations.