【中英雙語】341關于計算機專業(yè)java課程教學學生學習成績班級管理系統(tǒng)設計有關的外文文獻翻譯成品：用于java編程課程的基于云的學習系統(tǒng)（中英文雙語對照）

1、此文檔是畢業(yè)設計外文翻譯成品（ 含英文原文+中文翻譯），無需調整復雜的格式！下載之后直接可用，方便快捷！本文價格不貴,也就幾十塊錢！一輩子也就一次的事！外文標題：A Cloud-based Learning System for Java Programming Class外文作者：Hayato Tsukiji, Takayuki Kasai, Mizuki Kumada, and Kosuke Takano 文獻出處: 2018 In

2、ternational Conference on Knowledge Creation and Intelligent Computing (KCIC) (如覺得年份太老，可改為近 2 年，畢竟很多畢業(yè)生都這樣做)英文 2605 單詞，15522 字符(字符就是印刷符)，中文 4024 漢字。（如果字數(shù)多了，可自行刪減，大多數(shù)學校都是要求選取外文的一部分內容進行翻譯的。）A Cloud-based Learning System fo

3、r Java Programming ClassAbstract—With the advance of the cloud computing technology, online-programming services that can be available through a Web browser have been widely spread. In a programming class, a teacher can

4、efficiently manage each students’ progress by introducing such an online-programming service to the students. In this study, we design and implement a cloud-based Java learning system for effectively teaching Java progra

5、mming skills to students in a class. Our proposed Java programming learning system provides a function of classifying students into some groups based on the similarity of compile/runtime errors of Java program so that a

6、teacher can grasp individual students’ progress for Java programming exercises in the class. In the experiment using our prototype, we evaluated the feasibility of the proposed cloud-based Java learning system in terms o

7、f the capability of classifying students into some groups based on the similarity of compile/runtime errors of Java program as well as the usability evaluation.Keywords—java programming; online compiler; e-Learning; clou

8、d computingI.INTRODUCTIONWith the advance of the cloud computing technology, online-programming services that can be available through a Web browser have been widely spread. In a In the experiment using our prototype, we

9、 evaluated the feasibility of the proposed cloud-based Java learning system in terms of the capability of classifying students into some groups based on the similarity of compile/runtime errors of Java program as well as

10、 the usability evaluation.II.RELATED WORKPresently, it is expected to develop a new educational method based on the analysis of the educational big data that can be extracted and accumulated from e-learning histories of

11、individual students. In [1], Kusano et al. propose a Web-based system to support a programming lecture that enables teachers to give an advice according to the student’s progress by browsing students’ learning histories

12、in a class. Nozaki et al. propose a method of sequential pattern mining specializing in the analysis of programming learning history for conducting effective a programing class according to the level of student’s compreh

13、ension [2]. In addition, Hoshino et al. discuss a programming learning support based on the student’s input feature extracted by analyzing the time-series input pattern that appears when the student is writing a source c

14、ode. Furthermore, Hayami et al. develop a Web-based SQL learning support system for improving the learning level of SQL by executing SQL according to a textbook, and indicates that there is a correlation between a number

15、 of SQL executions and student’s comprehension to SQL by analyzing students’ learning logs and their test score [4].In comparison with these studies, the proposed Java learning system allows us to find students in a simi

16、lar trouble by classifying them into a group based on the work progress for each question and error messages in compiling/executing source codes in a programming class. This feature of the proposed system enables teacher