Automating the Detection of Reflection-on-Action
Automating the Detection of Reflection-on-Action
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DOI：
10.18608/jla.2017.42.15
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发表时间：
2017-07
期刊：
影响因子：
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通讯作者：
Jenny Saucerman;A. Ruis;D. Shaffer
中科院分区：
文献类型：
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作者：
Jenny Saucerman;A. Ruis;D. Shaffer
学会解决复杂的问题——这些问题的解决需要运用的不仅仅是基本的事实和技能——对于有意义地参与数字时代的经济、社会和文化生活至关重要。在本文中，我们从理论上理解专业人士如何使用行动反思来解决复杂问题，以研究学生如何学习这一21世纪的关键技能，以及我们如何开发和自动化学习分析技术来评估学习情况。我们提出了一项初步研究，检查在协作，复杂问题解决过程中反射话语的自动检测。我们分析了学生在虚拟学习环境中的行动反思，重点关注个人话语中的反思和学生之间的协作反思。我们的研究结果表明，在虚拟学习环境中可以检测学生对复杂问题的思考，但根据学生先前的领域经验，不同的模型可能是合适的。
Learning to solve complex problems — problems whose solutions require the application of more than basic facts and skills — is critical to meaningful participation in the economic, social, and cultural life of the digital age. In this paper, we use a theoretical understanding of how professionals use reflection-in-action to solve complex problems to investigate how students learn this critical 21st-century skill and how we can develop and automate learning analytic techniques to assess that learning. We present a preliminary study examining the automated detection of reflective discourse during collaborative, complex problem solving. We analyze student reflection-on-action in a virtual learning environment, focusing on both reflection in individual discourse and collaborative reflection among students. Our results suggest that it is possible to detect student reflection on complex problems in virtual learning environments, but that different models may be appropriate depending on students’ prior domain experience.