个性化教育游戏的基于代理的个性化和用户建模

Marieke M. M. Peeters, K. Bosch, J. Meyer, Mark Antonius Neerincx
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引用次数: 2

摘要

个性化可以通过定制教育游戏的内容来满足个体学习者的需求,从而提高教育游戏的学习效率。本文提出了个性化教育游戏架构(PEGA)。它使用多智能体组织和本体在游戏环境中为学习者提供个性化培训。多智能体组织的灵活性使自适应自动化成为可能;讲师可以决定只控制部分训练,而将其余部分留给智能代理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Agent-Based Personalisation and User Modeling for Personalised Educational Games
Personalisation can increase the learning efficacy of educational games by tailoring their content to the needs of the individual learner. This paper presents the Personalised Educational Game Architecture (PEGA). It uses a multi-agent organisation and an ontology to offer learners personalised training in a game environment. The multi-agent organisation's flexibility enables adaptive automation; the instructor can decide to control only parts of the training, while leaving the rest to the intelligent agents.
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