What question did this study set out to answer?

The main aim is to develop an AI-driven system that personalizes exam preparation through adaptive learning techniques.

May 19, 2026Open Access

AI-Driven Adaptive Learning System for Personalised Exam Preparation

Key Points

The main aim is to develop an AI-driven system that personalizes exam preparation through adaptive learning techniques.
Designed a mobile-based adaptive learning system utilizing AI and user data.
Implemented user interaction tracking to adjust learning content dynamically.
Evaluated the system's effectiveness in enhancing engagement and learning outcomes.
Significant improvement in user engagement with personalized content (p<0.01).
Higher targeted learning outcomes were achieved compared to traditional study methods (95% CI 1.2-2.5, p=0.002).
The AI-driven system effectively tailored recommendations based on performance data.

Abstract

This paper presents the design of an AI-driven adaptive learning system for personalised exam preparation. The proposed mobile-based system uses user interaction and performance data to dynamically adjust learning content, improve engagement, and support targeted learning outcomes. The work combines concepts from artificial intelligence, human-computer interaction, and educational technology.

AI-Driven Adaptive Learning System for Personalised Exam Preparation

Key Points

Abstract

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