Grit and academic resilience during the COVID-19 pandemic

IF 3.6 1区 心理学 Q1 EDUCATION & EDUCATIONAL RESEARCH npj Science of Learning Pub Date : 2024-09-13 DOI:10.1038/s41539-024-00265-3
Daniel L. Chen, Seda Ertac, Theodoros Evgeniou, Xin Miao, Ali Nadaf, Emrah Yilmaz
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Abstract

Grit, a non-cognitive skill that indicates perseverance and passion for long-term goals, has been shown to predict academic achievement. This paper provides evidence that grit also predicts student outcomes during the challenging period of the Covid-19 pandemic. We use a unique dataset from a digital learning platform in the United Arab Emirates to construct a behavioral measure of grit. We find that controlling for baseline achievement, students who were grittier according to this measure before the pandemic, register lower declines in math and science scores during the coronavirus period. Using machine learning, behavioral data obtained from the platform prior to the pandemic can explain 77% of the variance in academic resilience. A survey measure of grit coming from the same students, on the other hand, does not have significant predictive power over performance changes. Our findings have implications for interventions on non-cognitive skills, as well as how data from digital learning platforms can be used to predict student behavior and outcomes, which we expect will be increasingly relevant as AI-based learning technologies become more common.

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COVID-19 大流行期间的勇气和学术应变能力
勇气是一种非认知技能,表示对长期目标的毅力和热情,已被证明可以预测学习成绩。本文提供的证据表明,在 Covid-19 大流行的挑战时期,勇气也能预测学生的学习成绩。我们利用阿拉伯联合酋长国一个数字学习平台的独特数据集来构建勇气的行为测量指标。我们发现,在控制基线成绩的情况下,根据该测量方法,在大流行前比较有勇气的学生在冠状病毒期间的数学和科学成绩下降较少。利用机器学习,从大流行前平台上获得的行为数据可以解释 77% 的学业适应力差异。另一方面,来自相同学生的勇气调查数据对成绩变化没有显著的预测能力。我们的研究结果对非认知技能的干预以及如何利用数字学习平台的数据来预测学生的行为和结果具有重要意义。
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CiteScore
5.40
自引率
7.10%
发文量
29
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