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首页> 外文会议>IFIP First International Workshop on Entertainment Computing (IWEC 2002) May 14-17, 2002 Makuhari, Japan >FACILITATING LEARNING IN A REAL TIME STRATEGY COMPUTER GAME
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FACILITATING LEARNING IN A REAL TIME STRATEGY COMPUTER GAME

机译：在实时策略计算机游戏中促进学习

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摘要

The aim of this project was to implement a just-in-time hints help system into a real time strategy (RTS) computer game that would deliver information to the user at the time that it would be of the most benefit. The goal of this help system is to improve the user's learning in terms of their rate of learning, retention and avoidance of stagnation. The first stage of this project was implementing a computer game to incorporate four different types of skill that the user must acquire, namely motor, perceptual, declarative knowledge and strategic. Subsequently, the just-in-time hints help system was incorporated into the game to assess the user's knowledge and deliver hints accordingly. The final stage of the project was to test the effectiveness of this help system by conducting two phases of testing. The goal of this testing was to demonstrate an increase in the user's assessment of the helpfulness of the system from phase one to phase two. The results of this testing showed that there was no significant difference in the user's responses in the two phases. However, when the results were analysed with respect to several categories of hints that were identified, it became apparent that patterns in the data were beginning to emerge. The conclusions of the project were that further testing with a larger sample size would be required to provide more reliable results and that factors such as the user's skill level and different types of goals should be taken into account.
机译：该项目的目的是将实时提示帮助系统实施到实时策略（RTS）计算机游戏中，该系统将在最有利时机向用户传递信息。该帮助系统的目标是从用户的学习速度，保留率和避免停滞方面改善用户的学习。该项目的第一阶段是实施计算机游戏，以结合用户必须掌握的四种不同类型的技能，即运动，感知，陈述性知识和策略性技能。随后，即时提示帮助系统被集成到游戏中，以评估用户的知识并相应地提供提示。该项目的最后阶段是通过执行两个测试阶段来测试此帮助系统的有效性。该测试的目的是证明从第一阶段到第二阶段，用户对系统有用性的评估有所增加。该测试的结果表明，在两个阶段中，用户的响应没有显着差异。但是，当针对确定的几种提示类型分析结果时，很明显，数据中的模式开始出现。该项目的结论是，需要进行更大样本量的进一步测试才能提供更可靠的结果，并且应考虑诸如用户的技能水平和不同类型的目标之类的因素。

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