Solving Word Function Problems in Line with Educational Cognition Way

Bin Wang, Xinguo Yu, Huihui Sun
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Abstract

Intelligent solutions are an important research field in artificial intelligence education, automatic reasoning and solutions to function problems are a key technology of intelligent tutoring services, which has become a challenging research hotspot in the field of artificial intelligence. This paper aims to provide explanatory solution guidance for intelligent tutor, and proposes a functional problem solving model based on educational cognition and applies it. Specifically, the algorithm model simulates human solution cognition, decomposes the solution process into several progressive combinations of solution states, and designs independent methods to solve subtasks. In each subtask, the cognitive solution is visualized through the mode of cognitive state guiding the closing action to reflect the transformation process between the solution steps. In order to verify the proposed solution model and apply it to the function problem solution, the effectiveness of the new solution model is proved by case analysis and experimental results.
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根据教育认知方式解决词功能问题
智能解决方案是人工智能教育的一个重要研究领域,自动推理和功能问题的求解是智能辅导服务的关键技术,已成为人工智能领域一个具有挑战性的研究热点。本文旨在为智能导师提供解释性解决方案指导,提出了一种基于教育认知的功能问题解决模型并加以应用。具体而言,该算法模型模拟人类的解认知,将求解过程分解为若干解状态的递进组合,并设计独立的方法来求解子任务。在每个子任务中,通过认知状态引导闭合动作的模式将认知解可视化,以反映解步骤之间的转换过程。为了验证所提出的求解模型并将其应用于函数问题求解,通过实例分析和实验结果验证了新求解模型的有效性。
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