Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Education • K-12 Academic Tutoring

Case Study 58: Tutoring Center

Marketing-optimized case study for Canadian SMBs.

$64,000
Annual Savings
495%
ROI
2.3 months
Payback
Education • K-12 Academic Tutoring
Industry Focus

Executive Summary

Student Assessment: AI analyzes diagnostic tests and homework samples to identify learning gaps and create personalized learning plans. Tracks progress over time.

Challenge

Solution

  • Student Assessment: AI analyzes diagnostic tests and homework samples to identify learning gaps and create personalized learning plans. Tracks progress over time.
  • Tutor Matching: ML algorithm matches students with tutors based on subject expertise, teaching style, student learning preferences, and scheduling availability.
  • Progress Reporting: Automated generation of parent progress reports with AI-written narratives explaining improvements, challenges, and recommendations.

Technical Stack

Key Metrics

90
Student assessment time reduced from 90 to 20 minutes
78%
Tutor-student match success rate improved from 78% to 94%
6.2
Student retention improved from 6.2 to 9.8 months average
88%
Progress report generation time reduced 88%
34%
Student capacity increased 34% with same tutor count

Implementation Timeline

8 weeks including assessment tool integration and tutor training

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