An Implementation of Java Programming Learning Assistant System in University Course

2023 11th International Conference on Information and Education Technology (ICIET) Pub Date : 2023-03-18 DOI:10.1109/ICIET56899.2023.10111422

Xiqin Lu, N. Funabiki, Soe Thandar Aung, Yanhui Jing, Shingo Yamaguchi

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引用次数: 2

Abstract

Nowadays, Java programming is used in a variety of application systems as a highly portable object-oriented programming language. To assist its self-studies by novice students, we have developed the Java programming learning assistant system (JPLAS), and implemented the personal answer platform on Node.js. JPLAS offers several types of exercise problems at different learning levels, including the grammar-concept understanding problem (GUP), the value trace problem (VTP), the mistake correction problem (MCP), the element fill-in-blank problem (EFP), the code completion problem (CCP), and the phase fill-in-blank problem (PFP). Any answer is automatically marked by string matching with the correct one on the platform. In this paper, we present an implementation of the six problem types in a Java programming course in Okayama University. We generated 109 problem instances by following its curriculum and assigned them to 58 third-year students as homework before the final examination. Their solution results reveal the difficulty difference among the problem types and confirm the validity in the Java programming course.

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Java编程辅助学习系统在大学课程中的实现

如今，Java编程作为一种高度可移植的面向对象编程语言被用于各种应用系统中。为了帮助新手自学，我们开发了Java编程学习辅助系统(JPLAS)，并在Node.js上实现了个人答疑平台。JPLAS在不同的学习水平上提供了几种类型的练习问题，包括语法概念理解问题(GUP)、值跟踪问题(VTP)、错误纠正问题(MCP)、元素填空问题(EFP)、代码完成问题(CCP)和阶段填空问题(PFP)。任何答案都会被自动标记为与平台上的正确答案匹配的字符串。在本文中，我们在冈山大学的Java编程课程中提出了六种问题类型的实现。我们按照其课程生成了109个问题实例，并将其作为期末考试前的作业分配给了58名三年级学生。他们的解决结果揭示了问题类型之间的难度差异，证实了在Java程序设计课程中的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2023 11th International Conference on Information and Education Technology (ICIET)

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