COMPUTATIONAL THINKING AND ADAPTIVE LEARNING IN PROBLEM-SOLVING WITH FRACTIONS

Authors

  • Abelardo Mancinas González Tecnológico Nacional de México https://orcid.org/0000-0001-8149-4900
  • Manueal Francisco Montijo Mendoza Tecnológico Nacional de México - ITH

DOI:

https://doi.org/10.36790/epistemus.v15i30.171

Keywords:

adaptive learning, computational thinking, fraction learning

Abstract

This research is aimed to identify the modalities of computational thinking in problem-solving with fractions, as well as to explore the role of adaptive learning in this learning task in children of elementary school. The research design is a case study. A group of students using a mobile application based on adaptive learning, developed to carry out the tests, solving problems with fractions. The results show that the modalities of computational thinking present in the test are trial and error, iteration, and recursion, with a prevalence of recursion. At the same time, the adaptation of the problems with fractions by the mobile application according to the individual capacities of the children indicates the benefits that this type of technology has for learning fractions.

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References

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Published

2021-11-09

How to Cite

Mancinas González, A., & Montijo Mendoza, M. F. (2021). COMPUTATIONAL THINKING AND ADAPTIVE LEARNING IN PROBLEM-SOLVING WITH FRACTIONS. EPISTEMUS, 15(30), 12–20. https://doi.org/10.36790/epistemus.v15i30.171

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