Measuring and Analyzing Students’ Strategic Learning Behaviors in Open-Ended Learning Environments

Measuring and Analyzing Students’ Strategic Learning Behaviors in Open-Ended Learning Environments
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测量和分析学生在开放式学习环境中的战略学习行为

DOI:
10.1007/s40593-021-00275-x
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发表时间:
2021
影响因子:
4.9
通讯作者:
Hutchins, Nicole
Hutchins, Nicole
中科院分区:
--
文献类型:
--
作者:
Zhang, Ningyu;Biswas, Gautam;Hutchins, Nicole

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策略是自我调节学习框架的重要组成部分。然而,这些框架中的策略特征往往是不完整的:(1)他们缺乏一个可操作的定义的策略;(2)有有限的理解,学生如何开发和应用策略;(3)有一个系统的和概括的方法来衡量和评估学生的工作在开放式学习环境(OELES)的策略。本文发展了系统的方法来检测,解释和分析学生在OELE中使用的策略,并展示了学生的策略如何在任务中演变。我们应用这个框架的背景下,学生执行的任务,因为他们学习的科学主题,通过建立概念和计算模型的OELE。来自课堂研究的数据,六年级学生(N= 52)在我们的计算思维模拟和建模(CTSiM)环境中进行科学建模活动,展示了我们如何解释学生的策略使用,以及策略使用如何与他们的学习成绩相关。我们还展示了学生的策略如何演变,因为他们在多个模型构建任务的工作。结果表明,我们的策略框架在分析CTSiM学生的行为和表现的有效性。
Strategies are an important component of self-regulated learning frameworks. However, the characterization of strategies in these frameworks is often incomplete: (1) they lack an operational definition of strategies; (2) there is limited understanding of how students develop and apply strategies; and (3) there is a dearth of systematic and generalizable approaches to measure and evaluate strategies when students’ work in open-ended learning environments (OELEs). This paper develops systematic methods for detecting, interpreting, and analyzing students’ use of strategies in OELEs, and demonstrates how students’ strategies evolve across tasks. We apply this framework in the context of tasks that students perform as they learn science topics by building conceptual and computational models in an OELE. Data from a classroom study, where sixth-grade students (N= 52) worked on science model-building activities in our Computational Thinking using Simulation and Modeling (CTSiM) environment demonstrates how we interpret students’ strategy use, and how strategy use relates to their learning performance. We also demonstrate how students’ strategies evolve as they work on multiple model-building tasks. The results demonstrate the effectiveness of our strategy framework in analyzing students’ behaviors and performance in CTSiM.
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