Predicting academic performance: a systematic literature review

Arto Hellas, Petri Ihantola, Andrew Petersen, V. V. Ajanovski, Mirela Gutica, Timo Hynninen, Antti Knutas, Juho Leinonen, C. Messom, Soohyun Nam Liao
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引用次数: 183

Abstract

The ability to predict student performance in a course or program creates opportunities to improve educational outcomes. With effective performance prediction approaches, instructors can allocate resources and instruction more accurately. Research in this area seeks to identify features that can be used to make predictions, to identify algorithms that can improve predictions, and to quantify aspects of student performance. Moreover, research in predicting student performance seeks to determine interrelated features and to identify the underlying reasons why certain features work better than others. This working group report presents a systematic literature review of work in the area of predicting student performance. Our analysis shows a clearly increasing amount of research in this area, as well as an increasing variety of techniques used. At the same time, the review uncovered a number of issues with research quality that drives a need for the community to provide more detailed reporting of methods and results and to increase efforts to validate and replicate work.
预测学习成绩:系统的文献综述
预测学生在课程或项目中的表现的能力为改善教育成果创造了机会。有了有效的绩效预测方法,教师可以更准确地分配资源和教学。这一领域的研究旨在确定可用于预测的特征,确定可以改进预测的算法,并量化学生表现的各个方面。此外,预测学生表现的研究试图确定相互关联的特征,并找出某些特征比其他特征更好的潜在原因。本工作组报告对预测学生表现领域的工作进行了系统的文献综述。我们的分析表明,这一领域的研究数量在不断增加,所使用的技术种类也在不断增加。与此同时,审查发现了一些研究质量方面的问题,这些问题促使社区需要提供更详细的方法和结果报告,并增加验证和复制工作的努力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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