Towards personalized education: introducing NCTB dataset in learning environments for Bangla language

Abstract

The core contribution of this paper lies in con structing and employing a high quality, Bangla-language dataset specifically for educational settings. While AI and NLP have transformed learning environments elsewhere in the world, Bangla, as the seventh most spoken language, remains under represented, particularly in educa tion. This piece addresses the lack by focusing on constructing curriculum-aligned dataset that comes in the form of Bangla context paragraphs and corre sponding question-answer pairs. These sources of data are mined and cleansed from national curriculum textbooks and teach ing resources, ensuring linguistic appropriateness and academic usefulness. The cleaned dataset is poised to facilitate natural lan guage processing algorithms bespoke to Bangla, enabling the development of smart systems that can successfully understand, process, and generate context-dependent responses appropriate to education settings. With this work, we intend to clear the way for more available, localized AI-powered learning environments that are accessible for Bangla-speaking students, especially in low-resource environments.