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Using Robotics to Enhance Active Learning in Mathematics: A Multi-Scenario Study

Author

Listed:
  • Edgar Lopez-Caudana

    (Tecnologico de Monterrey, School of Engineering and Sciences, Mexico City 14380, Mexico)

  • Maria Soledad Ramirez-Montoya

    (Tecnologico de Monterrey, School of Humanities and Education, Monterrey 64849, Mexico)

  • Sandra Martínez-Pérez

    (Department of Didactics and Educational Organization, Faculty of Education, University of Barcelona, 08035 Barcelona, Spain)

  • Guillermo Rodríguez-Abitia

    (General Direction of Computing and Information and Communications Technologies, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico)

Abstract

The use of technology, which is linked to active learning strategies, can contribute to better outcomes in Mathematics education. We analyse the conditions that are necessary for achieving an effective learning of Mathematics, aided by a robotic platform. Within this framework, the question raised was “What are the conditions that promote effective active math learning with robotic support?” Interventions at different educational scenarios were carried in order to explore three educational levels: elementary, secondary, and high school. Qualitative and quantitative analyses were performed, comparing the control and treatment groups for all scenarios through examinations, direct observations, and testimonials. The findings point to three key conditions: level, motivation, and teacher training. The obtained results show a very favourable impact on the attention and motivation of the students, and they allow for establishing the conditions that need to be met for an effective relationship between the teacher and the technological tool, so that better learning outcomes in Mathematics are more likely to be obtained.

Suggested Citation

  • Edgar Lopez-Caudana & Maria Soledad Ramirez-Montoya & Sandra Martínez-Pérez & Guillermo Rodríguez-Abitia, 2020. "Using Robotics to Enhance Active Learning in Mathematics: A Multi-Scenario Study," Mathematics, MDPI, vol. 8(12), pages 1-21, December.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:12:p:2163-:d:456793
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    Cited by:

    1. Senthil Kumar Jagatheesaperumal & Varun Prakash Rajamohan & Abdul Khader Jilani Saudagar & Abdullah AlTameem & Muhammad Sajjad & Khan Muhammad, 2023. "MoMo: Mouse-Based Motion Planning for Optimized Grasping to Declutter Objects Using a Mobile Robotic Manipulator," Mathematics, MDPI, vol. 11(20), pages 1-25, October.

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