In the search for more effective education, there is a widespread effort to develop better approaches to personalize student education. Unassisted, educators often do not have time or resources to personally support every student in a given classroom. Motivated by this issue, and by recent advancements in artificial intelligence, this paper presents a general-purpose framework for personalized student support, applicable to any virtual educational system such as a serious game or an intelligent tutoring system. To fit any educational situation, we apply ontologies for their semantic organization, combining them with data collection considerations and multi-agent reinforcement learning. The result is a modular system that can be adapted to any virtual educational software to provide useful personalized assistance to students.

翻译：在寻求更有效教育方法的过程中，学界正广泛致力于开发更好的个性化教育方案。在无辅助情况下，教育工作者通常难以在有限时间内为课堂中的每位学生提供个性化支持。基于此问题及人工智能领域的最新进展，本文提出了一种通用型个性化学生支持框架，可适用于任何虚拟教育系统（如严肃游戏或智能辅导系统）。为适配各类教育场景，我们采用本体进行语义组织，并将其与数据收集策略及多智能体强化学习相结合，最终构建出可适配任何虚拟教育软件的模块化系统，为学生提供有效的个性化辅助。