Sensor-Free Affect Detection for a Simulation-Based Science Inquiry Learning Environment
Sensor-Free Affect Detection for a Simulation-Based Science Inquiry Learning Environment
复制标题
基于模拟的科学探究学习环境的无传感器情感检测
DOI：
10.1007/978-3-319-07221-0_1
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Zakkai Kauffman
中科院分区：
文献类型：
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作者：
L. Paquette;R. Baker;M. S. Pedro;J. Gobert;Lisa M. Rossi;Adam Nakama;Zakkai Kauffman
近年来，人们对理解学生情感和认知之间的关系产生了相当大的兴趣。自动无传感器检测器的出现促进了这项研究，该检测器被设计为从学习环境中学生交互的日志中“推断”影响。这种检测器允许对不同情感状态对一系列学习结果测量的影响进行细粒度分析。然而，这些检测器迄今为止只开发了一个子集的在线学习环境，包括解决问题的导师，对话导师，和基于叙事的虚拟环境。在本文中，我们将无传感器的情感检测扩展到科学微观世界环境中，提供了在这种类型的学习环境中更深入地研究和应对学生情感的可能性。
Recently, there has been considerable interest in understanding the relationship between student affect and cognition. This research is facilitated by the advent of automated sensor-free detectors that have been designed to “infer” affect from the logs of student interactions within a learning environment. Such detectors allow for fine-grained analysis of the impact of different affective states on a range of learning outcome measures. However, these detectors have to date only been developed for a subset of online learning environments, including problem-solving tutors, dialogue tutors, and narrative-based virtual environments. In this paper, we extend sensor-free affect detection to a science microworld environment, affording the possibility of more deeply studying and responding to student affect in this type of learning environment.