Pesantren classrooms adopt AI tools—Microsoft Copilot, Reading Progress—to improve Quran recitation assessment, reduce administrative load, enable remote speaking practice, and integrate values-based AI training for educators, expanding access and making instruction more measurable, flexible, and student-centered.
Islamic boarding school classrooms in Indonesia are integrating AI tools into teaching and assessment. New features in Microsoft Teams Learning Accelerators and Copilot are changing practice and administration.
Main feature/change and impact
Teams Reading Progress and Copilot enabled automated assessment, practice, and material generation. The system evaluates pronunciation, tajwid, punctuation, and reading structure with visual markers. Teachers receive structured feedback that highlights specific errors and improvement areas. This reduces subjective variance in recitation assessment. The change increases measurement fidelity and supports standardized progress tracking across students and sessions.Practical implications
Teachers save time on administrative tasks and material design using Copilot. Saved time is redirected to individual mentoring and character development. Students gain continuous practice through AI Conversation Practice and Speaking Progress features. Practice becomes asynchronous and location-independent, improving frequency and depth of learning. Institutions can scale monitoring without proportional staffing increases, enabling broader access to structured religious and language instruction.“Before, so much time went into administration. Now I can focus more on guiding the moral development of my students.”AI integration requires device access, teacher training, and policy alignment. Programs like AI Teaching Power provide practical AI skill modules and ethical guidance. Administrators must define data governance, privacy, and assessment standards for religious education contexts. Pilots should measure learning gains, engagement, and equity of access. Scale decisions should follow measured outcomes and community consent. The shift matters because it converts manual, subjective workflows into measurable, repeatable processes. Next steps include targeted training, infrastructure investments, and governance frameworks to protect student data. Schools should pilot, evaluate, and adapt AI tools while preserving pedagogical values.
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