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Proceedings of the 10th EAI International Conference on Simulation Tools and Techniques最新文献

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Gamification for Teaching Java Java教学的游戏化
Çagri Çubukçu, Bo Wang, L. Goodman, E. Mangina
The term 'gamification' refers to the use of game elements in non-game environments like education, business, sales and marketing. The method of 'gamifying' has been applied in many different contexts and for many different reasons; for instance, in order to improve productivity, to increase sales, to motivate employees and customers, et al. In recent years, educators began to investigate the effects of different gamification elements within the context of education. There has been a considerable debate regarding the actual effects of gamification on the intrinsic motivation of students towards learning, and many research have been conducted in order to discover the results of 'gamifying' any specific course curriculum. Each research study has revealed another impediment, supported by multiple review studies that revealed significant problems with some of the methods of majority of studies in the research area now known as the 'gamification of education'. This paper explains the design, analysis and implementation process of an open-source gamification platform, which is aimed at providing a gamification platform for education, while also explaining a preliminary survey conducted on an Introduction to Java course. The platform was developed using multiple technologies and frameworks related to the Java programming language while the survey was conducted at third level education students through a quantitative questionnaire.
“游戏化”指的是在教育、商业、销售和营销等非游戏环境中使用游戏元素。“游戏化”的方法已经应用于许多不同的环境中,原因也各不相同;例如,为了提高生产力,增加销售额,激励员工和客户等。近年来,教育工作者开始研究不同游戏化元素在教育背景下的影响。关于游戏化对学生学习的内在动机的实际影响一直存在相当大的争论,为了发现“游戏化”任何特定课程课程的结果,已经进行了许多研究。每一项研究都揭示了另一个障碍,并得到了多项回顾研究的支持,这些研究揭示了在现在被称为“教育游戏化”的研究领域中,大多数研究的一些方法存在重大问题。本文阐述了一个开源游戏化平台的设计、分析和实现过程,该平台旨在为教育提供一个游戏化平台,同时也解释了对Java导论课程进行的初步调查。该平台是使用与Java编程语言相关的多种技术和框架开发的,而调查是通过定量问卷对三级教育学生进行的。
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引用次数: 4
An End-to-end Tag-based Recommendation System for Verbal Reasoning Questions 基于标签的端到端语言推理问题推荐系统
Zhixiong Yue, Yinghao Jiang, Dong Pan, Zongwei Luo
Developing a verbal reasoning question recommendation system is an ideal way to help the GRE® test takers improve their verbal reasoning abilities by practicing questions more efficiently. As there are a great number of verbal reasoning practice questions and limited practice time for test takers, it is impossible to practice all kinds of questions at the same time. Personalized referral systems should be built based on the characteristics of specific respondents, and forming professional recommendation systems for different questions. Based on the examinee's current practicing accuracy and fallible difficulties, we propose an End-to-end Tag-based Recommendation System (ETRS) for task takers to optimize practice effect. Code of this paper can be found on https://github.com/Oliver-Q/ETRS-for-Verbal-Reasoning-Questions.
开发一个口头推理问题推荐系统是帮助GRE®考生通过更有效地练习问题来提高口头推理能力的理想方法。由于口语推理练习题数量众多,考生的练习时间有限,不可能同时练习所有题型。针对具体被调查者的特点,建立个性化的推荐系统,针对不同的问题形成专业的推荐系统。针对考生目前的练习正确率和易错性,本文提出了一种基于标签的端到端推荐系统(ETRS),以优化考生的练习效果。本文的代码可以在https://github.com/Oliver-Q/ETRS-for-Verbal-Reasoning-Questions上找到。
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引用次数: 0
Cellular Automata DEVS: A Modeling, Simulation, and Visualization Environment 元胞自动机DEVS:一个建模、仿真和可视化环境
Chao Zhang, H. Sarjoughian
Cellular Automata (CA) models are represented as a collection of independent dynamical cells having some specific spatial relationship to each other. These tessellation automata can have simple to complex behaviors due to both individual cell behaviors as well as their interactions. Code debugging, supported by advanced software development tools, is needed for developing CAs owing their complex dynamics to cells that have non-trivial event handling and timing. As such, it is useful to debug models during simulation through step-by-step examination of any number of cells using rich control and visualization means. In this paper, we show the CA-DEVS framework where cell and Cellular Automata models are derived from atomic and coupled Parallel DEVS models. This framework uniquely supports visualizations using run-time generation of input, output, and state linear and superdense time trajectories as well as run-time spatial animation with playback. Multimodal visualization capabilities allow examining behavior of any number of cells independent of any other cell. We describe some key parts of the architectural design of the CA-DEVS and highlight some ongoing and future research.
元胞自动机(CA)模型被表示为相互之间具有特定空间关系的独立动态单元的集合。由于单个细胞的行为以及它们之间的相互作用,这些镶嵌自动机可以具有简单到复杂的行为。代码调试(由高级软件开发工具支持)是开发ca所必需的,因为ca的复杂动态需要具有重要事件处理和定时的单元。因此,通过使用丰富的控制和可视化手段逐步检查任意数量的单元,在仿真期间调试模型非常有用。在本文中,我们展示了CA-DEVS框架,其中细胞和元胞自动机模型派生自原子和耦合并行DEVS模型。该框架独特地支持可视化,使用运行时生成输入、输出和状态线性和超密集的时间轨迹,以及带有回放的运行时空间动画。多模态可视化功能允许检查独立于任何其他细胞的任意数量的细胞的行为。我们描述了CA-DEVS架构设计的一些关键部分,并重点介绍了一些正在进行和未来的研究。
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引用次数: 2
Proceedings of the 10th EAI International Conference on Simulation Tools and Techniques 第十届EAI模拟工具与技术国际会议论文集
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引用次数: 0
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Proceedings of the 10th EAI International Conference on Simulation Tools and Techniques
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