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Understanding second grader’s computational thinking skills in robotics through their individual traits

Youngkyun Baek (Department of Educational Technology, Boise State University, Boise, Idaho, USA)
Dazhi Yang (Boise State University, Boise, Ioaho, USA)
Yibo Fan (Boise State University, Boise, Ioaho, USA)

Information Discovery and Delivery

ISSN: 2398-6247

Article publication date: 22 October 2019

Issue publication date: 21 November 2019

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Abstract

Purpose

This study aims to investigate the relationship between the personal traits and computational thinking skills of second graders within the context of robotics activities.

Design/methodology/approach

Through literature review, a research model and hypotheses were tested with 122 second graders after robotic activities.

Findings

The hypothesized model showed that learning preference, intrinsic motivation and self-efficacy were the main predictors of coding achievement and computational thinking skills, while no direct relationship was found between learning preference, intrinsic or extrinsic motivation. The final path analysis revealed that intrinsic and extrinsic motivation predict self-efficacy, self-efficacy predicts coding achievement and coding achievement predicts computational thinking skills. Another important finding was the strong impact of self-efficacy on coding achievement, as well as computational thinking skills. Results are interpreted with reference to implications for potential methods of improving computational thinking skills when using robotics in the lower grades in elementary schools.

Research limitations/implications

This study not only examined these relationships but also proposed, tested and built a research model containing a wide range of personal traits based on path analysis and multiple regression analysis, which, to the best of the researchers’ knowledge, has not been investigated in the current literature.

Practical implications

As reflected in the final research model, self-efficacy played an important role in impacting second grader’s coding achievement and computational thinking skills.

Originality/value

Few studies have investigated the various relationships in the context of robotics instruction in elementary schools as in this study. Given the increasing popularity of robotics education in elementary schools, the re-examination and identification of the pivotal role of self-efficacy in predicting second graders’ learning of coding and computational thinking skills have important implications for the implementation of robotics education.

Keywords

Acknowledgements

The authors wish to thank the National Science Foundation (NSF) for the support of this study under Grant Number 1640228. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF.

Citation

Baek, Y., Yang, D. and Fan, Y. (2019), "Understanding second grader’s computational thinking skills in robotics through their individual traits", Information Discovery and Delivery, Vol. 47 No. 4, pp. 218-228. https://doi.org/10.1108/IDD-09-2019-0065

Publisher

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Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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