运用主动学习方法策略选择论文进行自动评分

IF 2.7 4区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Educational Measurement-Issues and Practice Pub Date : 2022-12-30 DOI:10.1111/emip.12537
Tahereh Firoozi, Hamid Mohammadi, Mark J. Gierl
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引用次数: 3

摘要

论文自动评分的研究已经变得越来越重要,因为它可以作为一种大规模评估学生书面反应的方法。随着学生迁移到在线学习环境,需要评估大量书面回应评估,因此需要可扩展的书面回应评分方法。本研究的目的是描述和评估三种积极的学习方法,这些方法可以用来最大限度地减少必须由人工评分者评分的论文数量,同时仍然提供训练现代自动论文评分系统所需的数据。三种主动学习方法是基于不确定性的、基于拓扑的和混合方法。这三种方法被用于选择自动学生评估奖竞赛中的论文,然后使用评分模型对其进行分类,该模型使用来自转换器语言模型的双向编码器表示进行训练。所有三种主动学习方法都产生了强大的结果,其中基于拓扑的方法产生了最有效的分类。还评估了增长率的准确性。在不同的样本量分配下,主动学习方法产生了不同水平的效率,但总的来说,这三种方法都是高效的,并且产生了彼此相似的分类。
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Using Active Learning Methods to Strategically Select Essays for Automated Scoring

Research on Automated Essay Scoring has become increasing important because it serves as a method for evaluating students’ written responses at scale. Scalable methods for scoring written responses are needed as students migrate to online learning environments resulting in the need to evaluate large numbers of written-response assessments. The purpose of this study is to describe and evaluate three active learning methods that can be used to minimize the number of essays that must be scored by human raters while still providing the data needed to train a modern Automated Essay Scoring system. The three active learning methods are the uncertainty-based, the topological-based, and the hybrid method. These three methods were used to select essays included in the Automated Student Assessment Prize competition that were then classified using a scoring model that was trained with the bidirectional encoder representations from a transformer language model. All three active learning methods produced strong results, with the topological-based method producing the most efficient classification. Growth rate accuracy was also evaluated. The active learning methods produced different levels of efficiency under different sample size allocations but, overall, all three methods were highly efficient and produced classifications that were similar to one another.

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来源期刊
CiteScore
3.90
自引率
15.00%
发文量
47
期刊最新文献
Issue Information Editorial Issue Cover On the Cover: Gendered Trajectories of Digital Literacy Development: Insights from a Longitudinal Cohort Study Digital Module 36: Applying Intersectionality Theory to Educational Measurement
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