导师
计算机科学
过程(计算)
人工智能
智能教学系统
人工神经网络
智能决策支持系统
面向对象程序设计
对象(语法)
机器学习
人机交互
程序设计语言
作者
Ivelisse Teresa Machin Torres Ive
出处
期刊:IEEE Latin America Transactions
[Institute of Electrical and Electronics Engineers]
日期:2018-02-01
卷期号:16 (2): 634-638
被引量:4
标识
DOI:10.1109/tla.2018.8327423
摘要
In this article the difficulties present it teaching object-oriented programming and Intelligent Tutoring Systems are exposed. the usefulness of Intelligent Tutoring Systems taking into account technical data mining, among which include artificial neural networks is based. The author explains in the article the proposal of a model, using data mining techniques to extract and analyze information from student interactions with the platform in the process of teaching and learning. To achieve this goal are considered the predominant types of intelligence in each, as will achieve more individualized solutions. The results show a positive impact in solving problems, improving the learning process.
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