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Insights Into Young Children's Coding With Data Analytics

Insights Into Young Children's Coding With Data Analytics

Apittha Unahalekhaka, Jessica Blake-West, XuanKhanh Nguyen
Copyright: © 2021 |Pages: 23
ISBN13: 9781799873082|ISBN10: 1799873080|ISBN13 Softcover: 9781799873099|EISBN13: 9781799873105
DOI: 10.4018/978-1-7998-7308-2.ch015
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MLA

Unahalekhaka, Apittha, et al. "Insights Into Young Children's Coding With Data Analytics." Teaching Computational Thinking and Coding to Young Children, edited by Marina Bers, IGI Global, 2021, pp. 295-317. https://doi.org/10.4018/978-1-7998-7308-2.ch015

APA

Unahalekhaka, A., Blake-West, J., & Nguyen, X. (2021). Insights Into Young Children's Coding With Data Analytics. In M. Bers (Ed.), Teaching Computational Thinking and Coding to Young Children (pp. 295-317). IGI Global. https://doi.org/10.4018/978-1-7998-7308-2.ch015

Chicago

Unahalekhaka, Apittha, Jessica Blake-West, and XuanKhanh Nguyen. "Insights Into Young Children's Coding With Data Analytics." In Teaching Computational Thinking and Coding to Young Children, edited by Marina Bers, 295-317. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-7308-2.ch015

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Abstract

Over the past decade, there has been a growing interest in learning analytics for research in education and psychology. It has been shown to support education by predicting learning performances such as school completion and test scores of students in late elementary and above. In this chapter, the authors discuss the potential of learning analytics as a computational thinking assessment in early childhood education. They first introduce learning analytics by discussing its various applications and the benefits and limitations that it offers to the educational field. They then provide examples of how learning analytics can deepen our understanding of computational thinking through observing young children's engagement with ScratchJr: a tablet coding app designed for K-2 students. Finally, they close this chapter with future directions for using learning analytics to support computer science education.

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