Young learners’ motivation, self-regulation and performance in personalized learning

IF 8.9 1区 教育学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Ackermans Kevin , Marjoke Bakker , Anne-Marieke van Loon , Marijke Kral , Gino Camp
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引用次数: 0

Abstract

Introduction

Personalized learning, a topic that has garnered significant attention in education, is known for its potential to cater to student's unique needs and improve educational outcomes. However, most large-scale longitudinal studies on personalized learning have primarily focused on middle school students and above (age ≥11). This study, in contrast, delves into the uncharted territory of how personalized learning affects younger students (ages 7–12), a domain largely overlooked by large-scale studies.

Objective

To understand the effect of PL on young learners’ academic performance, metacognitive awareness, and motivation.

Method

Multidisciplinary design teams embedded personalized learning in eight participating elementary schools, resulting in personalized learning interventions tailored to each school in four subjects. The effects were measured over three years among 588 students and 82 teachers and analyzed using a Bayesian Gaussian regression with random intercept models and nested groups.

Results

We found significant evidence that the personalized learning interventions fostered academic performance in two of the four subjects: math and spelling. Regarding spelling, we found that the schools in which metacognitive skills were explicitly trained improved their students' spelling performance significantly compared to other schools. We found significant evidence suggesting that student ICT skills improved metacognitive awareness, intrinsic motivation, and math performance. We also found significant evidence that teachers' ICT skills support student metacognitive awareness. However, we could not confirm the theorized effect of personalized learning on metacognitive awareness or students’ intrinsic motivation.

Conclusion

Our study provides evidence-based recommendations for implementing personalized learning interventions in elementary schools, particularly for math and spelling. Finally, improving ICT skills among students and teachers benefits students in math and in their metacognitive skills.
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来源期刊
Computers & Education
Computers & Education 工程技术-计算机:跨学科应用
CiteScore
27.10
自引率
5.80%
发文量
204
审稿时长
42 days
期刊介绍: Computers & Education seeks to advance understanding of how digital technology can improve education by publishing high-quality research that expands both theory and practice. The journal welcomes research papers exploring the pedagogical applications of digital technology, with a focus broad enough to appeal to the wider education community.
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