Eye-tracker and fNIRS: Using neuroscientific tools to assess the learning experience during children's educational robotics activities.

Journal: Trends in neuroscience and education
PMID:

Abstract

In technology education, there has been a paradigmatic shift towards student-centered approaches such as learning by doing, constructionism, and experiential learning. Educational robotics allows students to experiment with building and interacting with their creations while also fostering collaborative work. However, understanding the student's response to these approaches is crucial to adapting them during the teaching-learning process. In this sense, neuroscientific tools such as Functional Near-Infrared Spectroscopy and Eye-tracker could be useful, allowing the investigation of relevant states experienced by students. Although they have already been used in educational research, their practical relevance in the teaching-learning process has not been extensively investigated. In this perspective article expressing our position, we bring four examples of learning experiences in a robotics class with children, in which we illustrate the usefulness of these tools.

Authors

  • Eneyse Dayane Pinheiro
    Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, São Bernardo do Campo, Brazil. Electronic address: eneyse.pinheiro@ufabc.edu.br.
  • João Ricardo Sato
    Center of Mathematics, Computing and Cognition, Federal University of ABC, São Bernardo do Campo, Brazil; Graduate Program in Neuroscience and Cognition, Federal University of ABC, Santo André, Brazil. Electronic address: joao.sato@ufabc.edu.br.
  • Raimundo da Silva Soares Junior
    Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, São Bernardo do Campo, Brazil. Electronic address: raimundossjr@alumni.usp.br.
  • Candida Barreto
    School of Biomedical Engineering, Science and Health Systems, Drexel University; NRF SARChI Chair: Department of Integrated Studies of Learning Language, Science, and Mathematics in the Primary School, Faculty of Education, University of Johannesburg, Johannesburg, South Africa. Electronic address: cd3272@drexel.edu.
  • Amanda Yumi Ambriola Oku
    Center of Mathematics, Computing and Cognition, Federal University of ABC, São Bernardo do Campo, Brazil; Graduate Program in Neuroscience and Cognition, Federal University of ABC, Santo André, Brazil.