Using a distributed systems laboratory to facilitate students' cognitive, metacognitive and critical thinking strategy use

J. Puig, T. Daradoumis, Marta Arguedas, Laura Calvet Liñan
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引用次数: 2

Abstract

Background: Recent research in online settings reports that supporting self-regulated learning (SRL) strategy use could lead to greater online academic success. A growing number of studies have started to investigate SRL supports in online environments recently, which indicates a great interest in this matter. Though several systems for automatic assessment of programming have been developed, there is hardly any study that has investigated how an automated assessment tool for distributed programming could facilitate students' SRL strategies. Objectives: This study examined the ways our online Distributed Systems Laboratory (DSLab) tried to enhance students' SRL strategies in an authentic long-term online educational experience. Methods: We applied an experimental research design, involving 111 university students who performed a programming assignment using DSLab. A customized questionnaire was used to collect data from all students. Results and Conclusions: The statistical analyses revealed that DSLab tool managed to facilitate students' cognitive and meta-cognitive strategy use to a certain extent and critical thinking strategy use to a fairly large extent. Implications: Though more experimental results are needed to delve more deeply into these findings, this study provides relevant implications for online distributed (or general) programming course teachers who seek to increase students' SRL strategies in this field.
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利用分布式系统实验室促进学生认知、元认知和批判性思维策略的运用
背景:最近关于在线设置的研究报告表明,支持自我调节学习(SRL)策略的使用可能会导致更大的在线学术成功。最近,越来越多的研究开始调查在线环境中的SRL支持,这表明人们对这个问题非常感兴趣。虽然已经开发了几个用于编程自动评估的系统,但几乎没有任何研究调查分布式编程的自动评估工具如何促进学生的SRL策略。目的:本研究考察了我们的在线分布式系统实验室(DSLab)在真实的长期在线教育体验中试图提高学生的SRL策略的方式。方法:我们采用实验研究设计,涉及111名使用DSLab完成编程作业的大学生。使用定制的问卷收集所有学生的数据。结果与结论:通过统计分析发现,DSLab工具在一定程度上促进了学生认知和元认知策略的使用,在相当大程度上促进了学生批判性思维策略的使用。启示:虽然需要更多的实验结果来更深入地研究这些发现,但本研究为在线分发(或一般)编程课程的教师提供了相关的启示,他们试图提高学生在这一领域的SRL策略。
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