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学习分析:当前发展水平

Learning analytics: state of the art.

作者信息

Hernández-de-Menéndez Marcela, Morales-Menendez Ruben, Escobar Carlos A, Ramírez Mendoza Ricardo A

机构信息

Tecnológico de Monterrey, School of Engineering and Sciences, Ave. E. Garza Sada 2501, Monterrey, 64849 NL México.

General Motors, Global Research & Development, Warren, MI USA.

出版信息

Int J Interact Des Manuf. 2022;16(3):1209-1230. doi: 10.1007/s12008-022-00930-0. Epub 2022 Jun 18.

DOI:10.1007/s12008-022-00930-0
PMID:40478020
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9206225/
Abstract

is a field that measures, analyses, and reports data about students and their contexts to understand/improve learning and the place in which it occurs. Educational institutions have different motivations to use . Some want to improve students' outcomes or optimize their educational technology and reduce the dropout rate and others. This concept is presented with practical experiences that have been acquired and validated by 16 institutions. Besides, an analysis of the results, challenges, and expectations was performed. It was found that the majority of initiatives use to improve retention of students; few are focused merely on improving the teaching/learning process or academic issues. The organizations invest their resources in acquiring software; however, most universities develop their technology. The technology helps organizations be preventive and not reactive as various models determine students at risk of failing. This information allows them to make suitable interventions, which increases the success of the initiative. pandemic is also put in context in this research; could be a great approach to help the educational community adapt effectively to the new forms of educational delivery. Based on an exhaustive bibliographic review, various educational projects and experiences were analyzed, presenting an overview detailing applications, results, and potentialities and opportunities, hoping that this article will be a useful reference for researchers and faculty to exploit education.

摘要

是一个对学生及其背景数据进行测量、分析和报告的领域,目的是了解/改善学习情况以及学习发生的环境。教育机构使用 有不同的动机。一些机构希望提高学生成绩或优化其教育技术并降低辍学率等。本文介绍了16个机构获得并验证的实践经验。此外,还对结果、挑战和期望进行了分析。研究发现,大多数举措使用 来提高学生的留存率;很少有仅仅专注于改善教学/学习过程或学术问题的。各组织投入资源获取 软件;然而,大多数大学自行开发技术。该技术有助于组织采取预防措施而非被动应对,因为各种模型能确定有失败风险的学生。这些信息使他们能够进行适当干预,从而提高举措的成功率。本研究还将 疫情纳入背景; 可能是帮助教育界有效适应新教育交付形式的好方法。基于详尽的文献综述,分析了各种教育项目和经验,呈现了一份详细介绍应用、结果、潜力和机会的概述,希望本文能为研究人员和教师利用 教育提供有用参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1812/9206225/ac22a9295ccf/12008_2022_930_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1812/9206225/4eb0a5dfa0ca/12008_2022_930_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1812/9206225/15ce61cc8fee/12008_2022_930_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1812/9206225/042bda838936/12008_2022_930_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1812/9206225/592cb8a8fb61/12008_2022_930_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1812/9206225/1bddf3c0ca3f/12008_2022_930_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1812/9206225/2147198534c5/12008_2022_930_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1812/9206225/ac22a9295ccf/12008_2022_930_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1812/9206225/4eb0a5dfa0ca/12008_2022_930_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1812/9206225/15ce61cc8fee/12008_2022_930_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1812/9206225/042bda838936/12008_2022_930_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1812/9206225/592cb8a8fb61/12008_2022_930_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1812/9206225/1bddf3c0ca3f/12008_2022_930_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1812/9206225/2147198534c5/12008_2022_930_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1812/9206225/ac22a9295ccf/12008_2022_930_Fig7_HTML.jpg

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本文引用的文献

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Twelve tips for rapidly migrating to online learning during the COVID-19 pandemic.在新冠疫情期间快速转向在线学习的十二条建议。
MedEdPublish (2016). 2020 Apr 29;9:82. doi: 10.15694/mep.2020.000082.1. eCollection 2020.
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Editorial: Learning Analytics - Trends and Challenges.社论:学习分析——趋势与挑战
Front Artif Intell. 2022 Feb 25;5:856807. doi: 10.3389/frai.2022.856807. eCollection 2022.
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Impacts of the Covid-19 Pandemic on Life of Higher Education Students: Global Survey Dataset from the First Wave.新冠疫情对高等教育学生生活的影响:第一波全球调查数据集
Data Brief. 2021 Dec;39:107659. doi: 10.1016/j.dib.2021.107659. Epub 2021 Dec 1.
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Learning analytics in higher education: a preponderance of analytics but very little learning?高等教育中的学习分析:大量的分析却很少有学习成效?
Int J Educ Technol High Educ. 2021;18(1):23. doi: 10.1186/s41239-021-00258-x. Epub 2021 May 4.
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Smart manufacturing must embrace big data.智能制造必须包含大数据。
Nature. 2017 Apr 5;544(7648):23-25. doi: 10.1038/544023a.