MASTISK AI: Advancing Educational Technology through AI-Driven Adaptive Learning Systems

Authors:

Shayan Deep Pal¹ and J. Pandit²

¹Department of Electronics and Telecommunication Engineering, JIS School of Polytechnic, Kalyani-741235

²Department of Physics, JIS School of Polytechnic, Kalyani-741235

*Email: shayandeeppal@gmail.com

Abstract - The emergence of AI in educational technology has brought forward innovative methods to enhance the learning experience. MASTISK AI represents a cutting-edge educational platform that employs artificial intelligence to address critical challenges in traditional exam preparation and student-teacher interaction [1]. This research examines how MASTISK AI generates dynamic and personalized learning content by analyzing historical exam data, thereby preventing the redundancy of repetitive questions that plague conventional platforms. Additionally, MASTISK AI fosters more effective real-time student-teacher engagement through AI-generated questions and adaptive learning tools [2]. The system’s potential to improve learning outcomes and streamline educational processes is evaluated through detailed analysis and empirical evidence.

Keywords: MASTISK AI, Artificial Intelligence, Real-Time Interaction, Dynamic Content Generation