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Rise of Self-Learning in Bangladesh: Al tools & Edtech support role in modern Bangladesh

Students & Supervisors

Student Authors
Syedahanaf Chowdhury Auditta
Bachelor of Science in Computer Science & Engineering, FST
Rashna Rahman Richita
Bachelor of Science in Computer Science & Engineering, FST
Md Shohan Molla
Bachelor of Science in Computer Science & Engineering, FST
Mostofa Zakaria
Bachelor of Science in Computer Science & Engineering, FST
Supervisors
Md. Mortuza Ahmmed
Associate Professor, Faculty, FST

Abstract

The rise of self-learning in Bangladesh has been accelerated by the integration of Artificial Intelligence (AI) tools and EdTech platforms, transforming traditional education and skill development. This study explores the role of AI-powered learning assistants, personalized education platforms, and digital resources in fostering self-directed learning among students and professionals. Statistical trends indicate a growing reliance on AI-driven tutoring systems, adaptive learning algorithms, and online courses, bridging gaps in accessibility and affordability. Additionally, the increasing adoption of EdTech solutions in formal and informal education highlights the shift toward a technology-driven learning ecosystem. By analyzing user engagement, learning outcomes, and the challenges of digital education, this study underscores the potential of AI and EdTech in shaping Bangladesh’s modern education landscape and workforce readiness.

Keywords

self-learning Bangladesh education ecosystem

Publication Details

  • Type of Publication: Conference 
  • Conference Name: 7th IEOM Bangladesh International Conference on Industrial Engineering and Operations Management
  • Date of Conference: 21/12/2024 - 22/12/2024
  • Venue: American International University - Bangladesh (AIUB), Dhaka, Bangladesh
  • Organizer: American International University - Bangladesh (AIUB), Dhaka, Bangladesh
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