Design adaptive learning system using metacognitive strategy path for learning in classroom and intelligent tutoring systems
Design adaptive learning system using metacognitive strategy path for learning in classroom and intelligent tutoring systems
复制标题
使用元认知策略路径设计自适应学习系统，用于课堂学习和智能辅导系统
DOI：
10.1063/1.4958507
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Indriana Hidayah
中科院分区：
文献类型：
--
作者：
K. Agustianto;A. E. Permanasari;S. Kusumawardani;Indriana Hidayah
适应性学习是一种通过探究性学习和探究性学习，关注学生个性的学习过程。本研究旨在建立一个能够以学习路径（LP）的形式给出AL推荐的系统，其中LP将被用作教师在构建学习过程中的推荐。本研究分别采用元认知意识指数（MAI）对学生的元认知进行识别，得出学习策略。系统本身是使用朴素拜耳分类器（NBC）和基于规则的系统来构建LP的。学习者风格模块的机器学习准确率为97.25%，黑盒测试表明系统功能可以接受。从这些结果可以得出结论，该系统在功能上是可接受的，能够代表一个专家（看到它可以产生符合预期条件的输出）。一位教育专家曾宣布，LP是一个...
Adaptive learning (AL) is a learning process focusing on students’ personality through of recommendation-based learning and inquiry-based learning. This research intends to create a system capable of giving AL recommendation in the form of learning path (LP) in which LP will then be used as a recommendation for the teacher in constructing a learning process. In this research, LP was obtained through the identification of students’ metacognitive with the use of Metacognitive Awareness Index (MAI) respectively. The system itself was developed using Naive Bayer Classifiers (NBC) and rule-based system to construct the LP. Accuracy of the machine learning for learner style module was of 97.25% and black box test indicated that the system was functionally acceptable. From these results, it can be concluded that the system was functionally acceptable and capable of representing an expert (seeing as it could produce an output that conformed to the expected condition). An expert in education had declared the LP wa...