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Predicting Successful Inquiry Learning in a Virtual Performance Assessment for Science

机译:预测科学虚拟性能评估中的成功查询学习

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In recent years, models of student inquiry skill have been developed for relatively tightly-scaffolded science simulations. However, there is an increased interest in researching how video games and virtual environments can be used for both learning and assessment of science inquiry skills and practices. Such environments allow students to explore scientific content in a more open-ended context that is designed around actions and choices. In such an environment, students move an avatar around a world, speak to in-game characters, obtain objects, and take those objects to laboratories to run specific tests. While these environments allow for more autonomy and choice, assessing skills in these environments is a more difficult challenge than in closed environments or simulations. In this paper, we present models that can infer two aspects of middle-school students' inquiry skill, from their interactive behaviors within an assessment in a virtual environment called a "virtual performance assessment" or VPA: 1) whether the student successfully demonstrates the skill of designing controlled experiments within the VPA, and 2) whether a middle-school student can successfully use their inquiry skill to determine the answer to a scientific question with a non-intuitive in-game answer.
机译:近年来,已经为相对紧密的脚手架的科学模拟开发了学生询问技能的模型。然而,在研究视频游戏和虚拟环境如何用于学习和评估科学探究技巧和实践时,有兴趣增加。此类环境允许学生在围绕行动和选择的更开放的上下文中探索科学内容。在这样的环境中,学生在世界各地移动一个头像,与游戏中的字符说话,获取对象,并将这些对象带到实验室以运行特定的测试。虽然这些环境允许更多的自主权和选择,但在这些环境中评估技能是比封闭环境或模拟更困难的挑战。在本文中,我们提出了可以推断中学生询问技能的两个方面,从他们的互动行为在一个名为“虚拟性能评估”或VPA的虚拟环境中的互动行为中,是学生是否成功地演示了在VPA内设计受控实验的技能,以及2)中学生是否可以成功地使用他们的查询技能来确定具有非直观的游戏中的科学问题的答案。

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