利用中学生的痕迹数据了解多源写作中的元认知过程

IF 4.6 2区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Halima Alnashiri, Mladen Rakovic, Sadia Nawaz, Xinyu Li, Joni Lamsa, Lyn Lim, Maria Bannert, Sanna Jarvela, Dragan Gasevic
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引用次数: 0

摘要

对中学生来说,整合多种来源的信息是一项常见而又具有挑战性的学习任务。许多元认知技能未得到充分利用,例如监测和控制,而这些技能对于促进参与和有效的学习成果至关重要。目的研究多元语言背景下的元认知过程与写作质量之间的关系。为了了解这些过程,我们对162名来自不同语言背景(英语、德语和芬兰语)的中学生进行了实验室研究。我们收集了学生在数字学习平台上阅读和写作时元认知的追踪数据。对这些数据以及学生写作时使用的语言进行了分析,以确定元认知与使用自动和人工评估获得的论文分数之间的关系。结果和结论我们的研究结果表明,不同语言背景的学生表现出不同的表现水平,可以通过自动评分来检测。中学生多源写作元认知过程有限;这与之前在高等教育中进行的研究结果形成对比。这些发现可以为开发基于分析的工具提供信息,通过跟踪数据和自动作文评分来支持中学生的写作,并提供证据,证明需要有针对性的干预措施,以帮助和支持中学生从多个来源提高写作水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Using Trace Data of Secondary Students to Understand Metacognitive Processes in Writing From Multiple Sources

Using Trace Data of Secondary Students to Understand Metacognitive Processes in Writing From Multiple Sources

Background

Integrating information from multiple sources is a common yet challenging learning task for secondary school students. Many underuse metacognitive skills, such as monitoring and control, which are essential for promoting engagement and effective learning outcomes.

Objective

This study aims to examine the relationship between metacognitive processes and the quality of writing from multiple sources with diverse language backgrounds.

Methods

To understand these processes, we conducted a laboratory study with 162 secondary students from diverse language backgrounds (English, German and Finnish). We collected trace data about metacognition while students were reading and writing in a digital learning platform. These data, along with the language used by students to produce their writing, were analysed to determine the association of metacognition with essay scores obtained using both automated and human evaluations.

Result and Conclusion

Our findings indicate that students from different language backgrounds exhibit varying performance levels detectable by automated scoring. Secondary school students showed limited metacognitive processes in multi-source writing; this contrasts with findings from previous studies conducted in higher education. These findings can inform the development of analytics-based tools to support secondary students' writing through trace data and automated essay scoring, and provide evidence of the need for targeted interventions to assist and support secondary school students in improving their writing from multiple sources.

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来源期刊
Journal of Computer Assisted Learning
Journal of Computer Assisted Learning EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
9.70
自引率
6.00%
发文量
116
期刊介绍: The Journal of Computer Assisted Learning is an international peer-reviewed journal which covers the whole range of uses of information and communication technology to support learning and knowledge exchange. It aims to provide a medium for communication among researchers as well as a channel linking researchers, practitioners, and policy makers. JCAL is also a rich source of material for master and PhD students in areas such as educational psychology, the learning sciences, instructional technology, instructional design, collaborative learning, intelligent learning systems, learning analytics, open, distance and networked learning, and educational evaluation and assessment. This is the case for formal (e.g., schools), non-formal (e.g., workplace learning) and informal learning (e.g., museums and libraries) situations and environments. Volumes often include one Special Issue which these provides readers with a broad and in-depth perspective on a specific topic. First published in 1985, JCAL continues to have the aim of making the outcomes of contemporary research and experience accessible. During this period there have been major technological advances offering new opportunities and approaches in the use of a wide range of technologies to support learning and knowledge transfer more generally. There is currently much emphasis on the use of network functionality and the challenges its appropriate uses pose to teachers/tutors working with students locally and at a distance. JCAL welcomes: -Empirical reports, single studies or programmatic series of studies on the use of computers and information technologies in learning and assessment -Critical and original meta-reviews of literature on the use of computers for learning -Empirical studies on the design and development of innovative technology-based systems for learning -Conceptual articles on issues relating to the Aims and Scope
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