Technical Review: Architecting an AI-Driven Decision Support System for Enhanced Online Learning and Assessment

6 cited 2025 paper

A comprehensive review of artificial intelligence-based decision support systems (DSSs) designed for online learning and assessment, synthesizing advancements from 2020 to 2025 is presented, providing actionable insights for designing equitable, efficient, and scalable AI-DSSs to transform online education.

The rapid expansion of online learning platforms has necessitated advanced systems to address scalability, personalization, and assessment challenges. This paper presents a comprehensive review of artificial intelligence (AI)-based decision support systems (DSSs) designed for online learning and assessment, synthesizing advancements from 2020 to 2025. By integrating machine learning, natural language processing, knowledge-based systems, and deep learning, AI-DSSs enhance educational outcomes thr

Tool Types

Personalised Adaptive Learning Systems that adapt content and difficulty to individual learners.
Teacher Support Tools Tools that assist teachers — lesson planning, content generation, grading, analytics.

Tags

educational assessment natural language processingcomputer-science