Profundiza en los últimos avances y desafíos de la inteligencia artificial en el ámbito educativo🎓✨

• Munir, H., Vogel, B., & Jacobsson, A. (2022). Artificial Intelligence and Machine Learning Approaches in Digital Education: A Systematic Revision. Information, 13(4), 203. https://doi.org/10.3390/info13040203
• Salas-Pilco, S. Z., Xiao, K., & Hu, X. (2022). Artificial Intelligence and Learning Analytics in Teacher Education: A Systematic Review. Education Sciences, 12(8), 569. https://doi.org/10.3390/educsci12080569
• Reference this paper: Tapalova, O., and Zhiyenbayeva, N., 2022. Artificial Intelligence in Education: AIEd for Personalised Learning Pathways. The Electronic Journal of e-Learning, 20(5), pp. 639-653,
• Chiu, T. K. F., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, 4, 100118. https://doi.org/10.1016/j.caeai.2022.100118

Descubre cómo la IA está revolucionando la agricultura 🚜🌱. Analizamos estudios recientes y exploramos las innovaciones que están transformando el campo. ¡No te lo pierdas! 🌾✨Sharma, S., Verma, K., & Hardaha, P. (2023). Implementation of Artificial Intelligence in Agriculture. Journal of Computational and Cognitive Engineering, 2(2), 155–162. https://doi.org/10.47852/bonviewJCCE22021741

•Rejeb, A., Rejeb, K., Zailani, S., Keogh, J.G., & Appolloni, A. (2022). Artificial Intelligence in Agriculture. Artificial Intelligence in Agriculture, 6, 111–128. https://doi.org/10.1016/j.aiia.2022.08.0022

•Javaid, M., Haleem, A., Singh, R. P., & Suman, R. (2023). Applications of artificial intelligence in agriculture for sustainable development. Advanced Agrochem, 2, 15-30. https://doi.org/10.1016/j.aac.2022.11.0013

•Hossain, M. S., Malhotra, D., Ray, S., & Bhatia, K. K. (2022). Machine Learning and Artificial Intelligence in the Food Industry. Journal of Food Quality, 2022, 1-9. https://doi.org/10.1155/2022/8521236

De los laboratorios a las estrellas: cómo la inteligencia artificial está transformando la exploración espacial 🛰️

Audenaert, J. (2023). ARENBERG DOCTORAL SCHOOL Faculty of Science Artificial Intelligence in Astronomy Unraveling variable stars with machine learning and the NASA Kepler and TESS space missions.

Niranjan, S. K. ., Raja, J. ., & Rajini, A. R. . (2018). Proceedings of the 2018 International Conference on Communication, Computing & Internet of Things : IC3IoT 2018 : 15-17 Febrauray 2018, Dept. of Electronics and Communication Engineering, Sri Sairam Engineering College, Chennai, India. IEEE.

Patil, T., Patil, G., & Arora, S. (2023). AI-Powered Expedition: Navigating the Cosmos for Habitable Planets through Advanced ML Techniques. https://doi.org/10.21203/rs.3.rs-3269763/v1

Sibonghanoy Groenewald, E., Kumar, N., Coenrad, D., & Groenewald, A. (2024). AI-Assisted Astronomical Data Analysis Unveiling Patterns and Phenomena in the Universe (Vol. 28). https://museonaturalistico.it

Venkataramanan, V., Modi, A., & Mistry, K. (2024). AI and Robots Impact on Space Exploration. In Advances in Astronautics Science and Technology. Springer. https://doi.org/10.1007/s42423-023-00147-7