Over the years, personalisation in e‐learning has evolved as a promising paradigm for
matching learners' specific requirements. Although many literature reviews on personalised …

A group recommender system (GRS) generates suggestions for a group of individuals,
considering not only each person's preferences but also factors such as social dynamics …

This study investigates the use of generative AI and multi-agent systems to provide
automatic feedback in educational contexts, particularly for student constructed responses in …

Abstract Multi-Agent System (MAS) is popular in the fields where cooperative effort is
required to fulfil the purpose of the end product. This study creates a Multi-Agent System as …

A model of an agent-based learning platform (ALP) has been developed, in which, based on
the combination of agent technology and computer vision, an approach is proposed that …

The rapid increase of online educational content has made it harder for students to find
specific information. E-learning recommender systems help students easily find the learning …

This article introduces a recommendation system that merges a knowledge-based (attribute-
based) approach with collaborative filtering, specifically addressing the challenges of the …

The goal of this paper is to systematically review the available literature on the topic of
explainable recommendation systems in education, especially when recommendation …

当前, 虽然生成式人工智能为构建多智能体协同交互的在线学习环境提供了可能,
但是现有环境构建仍存在社会临场感不足, 教学临场感薄弱, 认知临场感缺失等问题. 为此 …

The purpose of this paper is to conduct a systematic review of the available literature on
explainable recommendation systems in education and their reproducibility, particularly …