How Pratham International Uses Claude to Deliver Personalized Student Feedback at Scale
Pratham International, one of India's largest nonprofit education organizations, deployed Claude to generate personalized, Bloom's Taxonomy-aligned feedback for student assessments. The system addressed the fundamental challenge of teachers being unable to provide individual feedback in classrooms of 60 or more students. A 20-school pilot completed 1,500+ assessments, improving grading accuracy from 30% to 80% and achieving 90% question generation accuracy.
Impact
1,500+
Student assessments completed in pilot
30% → 80%
Grading accuracy improvement (before → after)
90%
Accuracy in Bloom's Taxonomy-aligned question generation
20
Schools in pilot
Challenge
Teachers in Pratham's partner schools manage 60+ students and lack the capacity to provide individualized feedback on practice exams, leaving students in under-resourced communities without personalized assessment guidance.
Solution
Pratham deployed Claude via the Claude Platform to automatically generate personalized, Bloom's Taxonomy-aligned questions and feedback for student assessments, refined through iterative prompt engineering with Anthropic support.
Tools & Technologies
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Full Story
Pratham International is one of India's largest nonprofit education organizations, with over 30 years of history operating in nearly every Indian state and more than 30 countries. Its educational model has been validated through over 10 randomized controlled trials and recognized by institutions such as MIT's J-PAL and the World Bank. Pratham's mission centers on reaching under-resourced communities and providing millions of children access to quality learning.
The central challenge was the inability of teachers to provide meaningful, individualized feedback to large classes. With teachers managing 60 or more students, assessing individual practice exam responses and offering tailored guidance was simply not feasible. Students in under-resourced schools received little to no personalized feedback—a gap with direct consequences for learning outcomes.
Pratham partnered with Anthropic and deployed Claude via the Claude Platform to automate the generation of personalized assessment feedback. The implementation involved extensive iterative prompt engineering, refined with direct support from Anthropic, to ensure feedback aligned with Bloom's Taxonomy—a pedagogical framework covering cognitive levels from factual recall to complex analytical reasoning. The system processes student answers and produces targeted questions and feedback calibrated to each learner's demonstrated level.
The results of the pilot across 20 schools in India were compelling. Over 1,500 student assessments were completed, grading accuracy improved from 30% to 80% through prompt iteration, and the system achieved 90% accuracy in generating Bloom's Taxonomy-aligned questions. The deployment demonstrates how AI-powered personalization can help under-resourced educational systems bridge the feedback gap at scale.