Artificial Intelligence with Micro:Bit in the Classroom
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-38454-7_28
Reference16 articles.
1. Karalekas, G., Vologiannidis, S., Kalomiros, J.: Teaching machine learning in K-12 using robotics. Educ. Sci. 13, 67 (2023). https://doi.org/10.3390/educsci13010067
2. Bellas, F., Guerreiro-Santalla, S., Naya, M., et al.: AI curriculum for European high schools: an embedded intelligence approach. Int. J. Artif. Intell. Educ. (2022). https://doi.org/10.1007/s40593-022-00315-0
3. Llamas L.F., Paz-Lopez A., Prieto A., Orjales F., Bellas F.: Artificial intelligence teaching through embedded systems: a smartphone-based robot approach. In: Robot 2019: Fourth Iberian Robotics Conference. ROBOT 2019. Advances in Intelligent Systems and Computing, vol. 1092. Springer (2020). https://doi.org/10.1007/978-3-030-35990-4_42
4. Micro:bit Educational Foundation Homepage. https://microbit.org/. Accessed 2 Jan. 2023
5. Lozada, R., Escriba, L., Granja, F.: MS-Kinect in the development of educational games for preschoolers. Int. J. Learn. Technol. 13(4), 277–305 (2018)
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