文章基本信息

标题：A Personalized E-Learning Environment to Promote Student's Conceptual Learning on Basic Computer Programming
本地全文：下载
作者：Sasithorn Chookaew ; Sasithorn Chookaew ; Patcharin Panjaburee 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2014
卷号：116
页码：815-819
DOI：10.1016/j.sbspro.2014.01.303
语种：English
出版社：Elsevier
摘要：Basic computer programming is one of the fundamental subjects that students in the departments of computer engineering, computer science, software engineering, information technology, and computer business need to learn. In this subject, students are asked to write a programming code step by step following the textbook without understanding the relationship among concepts, for example, variables and data types are fundamental concepts of array. Due to these reasons, many students who cannot grasp the most fundamental concepts of programming are unable to produce basic programs and also unable to learn and understand more complicated concepts in the future. It might be better if we could find an appropriate way to improve their conceptual learning ability in the topic. Therefore, in this study, a personalized e-learning environment is proposed by basing upon multiple sources of personalized information of students, namely, learning problems, a learning styles, and performance levels. To diagnose the student's learning problems, the test answers are analysed. In addition, a learning styles questionnaire is employed for adjusting the presentation styles of the subject material based on the personalized learning style of the students. The performance levels, classified into high, middle, or low, are used to arrange the learning material for individual students as well. By analyzing the data, the students who learned with the developed e-learning environment could develop understanding of basic computer programming; moreover, they had positive attitude toward the developed e-learning environment which fit with their personalized learning.
关键词：computer education;e-learning;personalized learning;adaptive learning