人工智能规划在电子学习环境下的应用

Newarney Torrezão da Costa, Cleon Xavier Pereira Junior, R. Araújo, M. A. Fernandes
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引用次数: 7

摘要

人工智能规划(AIP)是一种技术,可用于定制和自动化教学过程的一个或多个阶段,以提供定制的教学建议。为了研究这种技术在这种情况下的进展、挑战和局限性,本文提出了一项系统文献综述(SRL),其结果表明,个性化学习路径的建议是主要的教学行动。在这方面,我们也注意到推进这一领域的研究是很重要的,除了扩大推荐的教学行动的范围外,还提出了对学习者建模的更好改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of AI Planning in the Context of e-Learning
Artificial Intelligence Planning (AIP) is a technique that can be used to customize and automate one or more stages of the teaching process, in order to provide customized pedagogical recommendations. In order to investigate the advances, challenges and limitations of this technique in this scenario, this paper presents a Systematic Review of Literature (SRL), whose results allowed to observe that the recommendation of personalized learning paths are the main pedagogical actions addressed. In this regard, we also note that it is important to advance the research in this area, proposing a better refinement in the modeling of the learner, besides expanding the universe of recommended pedagogical actions.
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