A Comprehensive Survey of AI-Driven Smart Campus Systems for Adaptive Learning and Assessment

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Authors: Sourabh Mujumale
Cited by: 0

Abstract

Smart Campus project is a learning and management application that is meant to enhance learning experiences and operational efficiency in institutions. The system supports students, faculty, and administrators by means of academic AI, Retrieval-Augmented Generation (RAG), and data analytics. It provides adaptive learning tracks, dynamic course recommendations, and skills-based assessments, as well as productivity and engagement tools. The platform also has real-time analytics dashboard to monitor performance in academics, attendance, and resource utilization to aid the stakeholders in making effective decisions. Smart Campus responds to the deficiency of the traditional education system as it lacks individualized assistance, since the implementation of AI-based modules contributes to the academic guidance, administration, and monitoring of achievements. The outcomes of the experiments demonstrate increased efficiency and engagement, demonstrating the strengths of the platform in providing alterable data-driven sustainable campus conditions. Frequent changes according to the feedback of the users make the system relevant and approachable to the learners that have different needs and technological awareness. In education, we consider the use of technology, automated evaluation of answers and auto grading systems.

Fields of Study & Subjects

Artificial Intelligence in Education Intelligent Tutoring Systems and Adaptive Learning Online Learning and Analytics

Publication details

Journal / source
International Journal for Research in Applied Science and Engineering Technology
Volume
14
Issue
2
Pages
437–441
Publication date
12 February 2026
Language
EN