Rethinking Learning through AI-Powered Digital Note-Taking in Bangladeshi Higher Education

Sharif Ratul Hassan; Tanzina Nazim Nira

doi:10.70454/IJMRE.60306

Authors

Sharif Ratul Hassan Department of Computer Science & Engineering, Northern University Bangladesh Author
Tanzina Nazim Nira Department of Computer Science & Engineering, Northern University Bangladesh. Author

DOI:

https://doi.org/10.70454/IJMRE.60306

Keywords:

AI-Powered Digital Note-Taking, Large Language Models, Higher Education in Bangladesh, Digital Learning, Learning Strategies

Abstract

This study explores how AI-powered digital note-taking is reshaping learning strategies in Bangladeshi higher education. Focusing on emerging tools such as Chat GPT, Google Gemini, Notebook LM, and Notion AI, the study examines the transition from traditional note-taking practices toward intelligent knowledge management systems. The paper analyses how AI-assisted note-taking supports knowledge construction, personalized learning, academic productivity, and information organization while also addressing challenges related to digital inequality, AI dependency, academic integrity, and ethical use. A qualitative theoretical research methodology is adopted, based on the analysis of existing scholarly literature, theories, and research on digital learning and artificial intelligence in education. The study is intended for higher education students, educators, and researchers interested in technology-supported learning practices. The findings suggest that AI-powered note-taking can enhance learning strategies when integrated with critical thinking and responsible academic practices.

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