Concept Cases|AI Integration|Service

AI-powered Personalized Learning Support Agent

Written by AQ | Dec 16, 2025 4:00:00 AM
Dramatic efficiency in grading and evaluation tasks
Personalized learning proposals based on individual student weaknesses
Grading standards that automatically evolve based on feedback

For Various Industries Industry-Specific Use Cases

01. Education Industry (AI Grading, Personalized Learning Plans)

Use Cases
Automatic grading and detailed feedback for descriptive reports and essays at universities and high schools.
Automatic proposal of supplementary problems by student and unit, based on weak point analysis from grading results.
Learning evaluation results provided by teachers to autonomously refine grading standards.
Benefits
Teachers' grading time is reduced, allowing focus on core teaching guidance.
Accelerated student overcoming of weak areas, leading to improved learning retention and grades.
Ensured evaluation consistency, eliminating reliance on individual scorers, and stabilizing educational quality.

02.Corporate Training / HR Development (Skill Assessment, Capability Training)

Use Cases
Evaluation of skill tests for new hires and mid-career entrants, and automatic selection of individualized training courses based on results.
AI evaluation and suggestion of improvement points for practical tasks such as sales role-playing and presentation material creation.
Optimization of evaluation models to match departments and job types, based on feedback from OJT instructors.
Benefits
Maximization of skill improvement effect after training, promoting early employee capability.
Reduced burden on evaluators and standardization of evaluation, providing high-quality feedback even for large-scale training.
Reduced overall corporate training costs while allowing efficient investment tailored to individual growth speed.

03.Manufacturing Industry (Technical Education, Skill Transfer Support)

Use Cases
Evaluation of descriptive questions and case studies in skill certification exams, and pointing out technical misunderstandings.
Learning expert knowledge from seasoned technicians and presenting customized skill acquisition roadmaps for inexperienced workers.
Learning from on-site work reports and near-miss incidents to update evaluation criteria to be more relevant to real conditions.
Benefits
Shortened technician training period, achieving efficient transfer of advanced specialized knowledge.
Realization of fair skill certification that excludes evaluator subjectivity, contributing to maintenance and improvement of technical levels.
Accurate identification of individual skill gaps, maximizing training effectiveness by focusing only on necessary education.