Образовательная робототехника

Материал из Поле цифровой дидактики


Описание Робот обычно используется как инструмент, платформа, которую можно использовать для практических исследований, решения проблем, исследовательского обучения, проб и ошибок. Учащиеся могут сотрудничать в группе в рамках проекта или конкретного запроса, используя робота для обоснования абстрактных концепций. Например, концепцию вращения можно изучить через движение робота. В других случаях робот может использоваться больше как коллега, например, в форме знающего коллеги, который помогает студенту, сокурсника или компаньона или даже коллеги, нуждающегося в помощи. В последнем случае учащийся становится учителем для робота-сверстника, а в первом робот-сверстник косвенно принимает на себя роль учителя.
Область знаний Робототехника, Образование, Искусственный интеллект
Авторы Паперт
Поясняющее видео https://www.youtube.com/watch?v=fdF1D6Sb6CE
Близкие понятия Вычислительное мышление
Среды и средства для освоения понятия Snap!, NetsBlox, Лого


Литература

  • Lin, C.-J., Mubarok, H., 2024. Promoting young learners’ computational thinking with AI-based robots and the ICAP model in blended learning contexts. Interactive Learning Environments 0, 1–15. https://doi.org/10.1080/10494820.2024.2308101
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  10. Liu, Y., Odic, D., Tang, X., Ma, A., Laricheva, M., Chen, G., Wu, S., Niu, M., Guo, Y., Milner-Bolotin, M., 2023. Effects of Robotics Education on Young Children’s Cognitive Development: a Pilot Study with Eye-Tracking. J Sci Educ Technol 32, 295–308. https://doi.org/10.1007/s10956-023-10028-1
  11. Martínez Monés, A., Dimitriadis Damoulis, I., Acquila Natale, E., Álvarez, A., Caeiro Rodríguez, M., Cobos Pérez, R., Conde González, M.Á., García Peñalvo, F.J., Hernández Leo, D., Menchaca Sierra, I., Muñoz Merino, P.J., Ros, S., Sancho Vinuesa, T., 2020. Achievements and challenges in learning analytics in Spain: The view of SNOLA. RIED. Revista Iberoamericana de Educación a Distancia 23, 187. https://doi.org/10.5944/ried.23.2.26541
  12. Nasir, J., Norman, U., Johal, W., Olsen, J.K., Shahmoradi, S., Dillenbourg, P., 2019. Robot Analytics: What Do Human-Robot Interaction Traces Tell Us About Learning?, in: 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). Presented at the 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), pp. 1–7. https://doi.org/10.1109/RO-MAN46459.2019.8956465
  13. Niemi, H., Pea, R.D., Lu, Y. (Eds.), 2023. AI in Learning: Designing the Future. Springer Nature. https://doi.org/10.1007/978-3-031-09687-7
  14. Pastra, K., 2023. La Robotica nell’Educazione: Entusiasmante o Essenziale? (Robotics in Education: Exciting or Essential?). pp. 139–154. https://doi.org/10.5281/zenodo.10303165
  15. Patterson, N., Thiruvady, D., Wood-Bradley, G., 2021. Artificial Intelligence and the Transformation of Digital Education: Robotics, Student Skills, and Learning Analytics, in: Handbook of Research on Management and Strategies for Digital Enterprise Transformation. IGI Global, pp. 1–18. https://doi.org/10.4018/978-1-7998-5015-1.ch002
  16. Prinsloo, P., Khalil, M., Slade, S., 2023. Learning analytics as data ecology: a tentative proposal. J Comput High Educ. https://doi.org/10.1007/s12528-023-09355-4
  17. Romero, C., Ventura, S., 2020. Educational data mining and learning analytics: An updated survey. WIREs Data Mining and Knowledge Discovery 10, e1355. https://doi.org/10.1002/widm.1355
  18. Scaradozzi, D., Cesaretti, L., Screpanti, L., Mangina, E., 2020. Identification of the Students Learning Process During Education Robotics Activities. Frontiers in Robotics and AI 7.
  19. Scaradozzi, D., Screpanti, L., Cesaretti, L., 2021. Machine Learning for modelling and identification of Educational Robotics activities, in: 2021 29th Mediterranean Conference on Control and Automation (MED). Presented at the 2021 29th Mediterranean Conference on Control and Automation (MED), pp. 753–758. https://doi.org/10.1109/MED51440.2021.9480309
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  21. Wang, Y., 2023. The role of computer supported project-based learning in students’ computational thinking and engagement in robotics courses. Thinking Skills and Creativity 48, 101269. https://doi.org/10.1016/j.tsc.2023.101269
  22. Wu, J.-Y., Yang, C.C.Y., Liao, C.-H., Nian, M.-W., 2021. Analytics 2.0 for Precision Education: An Integrative Theoretical Framework of the Human and Machine Symbiotic Learning. Educational Technology & Society 24, 267–279.
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