Perspectives in eye-tracking technology for applications in education

Author(s)

Soares Jr, Raimundo da Silva ; Barreto, Candida ; Sato, Joao R.

• Document type: Journal article
• Source: SOUTH AFRICAN JOURNAL OF CHILDHOOD EDUCATION; v. 13, n. 1, p. 8-pg., 2023-06-19.

Abstract

Background: Many students struggle with mathematics difficulties, such as arithmetic problem-solving, intuitive geometry concepts and learning disabilities. Currently, there is an increasingly interesting in applying neuroscientific research paradigms to elucidate mathematical thinking and neural mechanisms that underlie academic achievement. On this matter, eye-tracking technology has been a valuable option for educational research. It provides a non-invasive and real-time measurement of participants' eye movements and pupil sizes during cognitive tasks. Moreover, the eye-tracker device is portable, allowing more ecological educational experimentations. Aim: Our main goals are to provide an overview and different opportunities for educational eye-tracking research to investigate mathematical thinking at schools. Setting: This study was conducted in Sao Bernardo do Campo, Sao Paulo, Brazil. Methods: This is a perspective article that briefly introduces the eye-tracking technique and describes its possible use in educational research. Results: We present the popular measures and the trends of this technology that could enable educational practitioners and scientists to apply the eye-tracking system to benefit teaching and learning mathematics in naturalistic research. Conclusion: The eye-tracking provides insights for innovative approaches to promote evidence-based practices and new interventions through self-directed learning and metacognition skills that could be helpful in mathematics education. Contribution: This article provides insight into eye-tracking system utility in educational research regarding the mathematics teaching-learning process. (AU)

• FAPESP's process: 18/04654-9 - Time series, wavelets and high dimensional data
• Grantee: Pedro Alberto Morettin
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 18/21934-5 - Network statistics: theory, methods, and applications
• Grantee: André Fujita
• Support Opportunities: Research Projects - Thematic Grants