A Web-Based Adaptive Mock Test Platform for Competitive Exam Preparation
Year: 2026
Type: article
Abstract: This paper presents a detailed study and implementation of a web-based adaptive mock testplatform designed for competitive examination preparation. Unlike conventional static mocktest systems, the proposed platform dynamically adjusts question difficulty based on userperformance and response time. The study investigates whether adaptive assessmentimproves engagement, learning efficiency, and personalized evaluation. Data were collectedthrough controlled user testing sessions and system performance monitoring. The findingsindicate that adaptive difficulty adjustment enhances learner motivation, optimizes timeutilization, and provides structured performance analytics. The paper concludes withrecommendations for integrating adaptive intelligence into competitive exam preparationsystems
Authors: Ashutosh Kumar Singh, Ankit Singh, Anand Yadav
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7136469588
FWCI:
Cites:
Cited by:
Related to: