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1、此文檔是畢業(yè)設(shè)計(jì)外文翻譯成品( 含英文原文+中文翻譯),無(wú)需調(diào)整復(fù)雜的格式!下載之后直接可用,方便快捷!本文價(jià)格不貴,也就幾十塊錢!一輩子也就一次的事!外文標(biāo)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(xiàn)出處: 2018 In
2、ternational Conference on Knowledge Creation and Intelligent Computing (KCIC) (如覺(jué)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?jǐn)?shù)多了,可自行刪減,大多數(shù)學(xué)校都是要求選取外文的一部分內(nèi)容進(jìn)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
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