Oriol Borrás-Gené

A menudo nos dejamos llevar por la profesión y nos centramos en el oficio de enseñar. Aprendemos cada día a buscar estrategias que mejoren el proceso de enseñanza-aprendizaje y nos permitan generar no solo conocimientos sino también competencias en las personas con las que trabajamos cada día.

1. Introduction Generative artificial intelligence (AI) has experienced significant advancements in recent years, particularly in the development of large language models (LLMs). These models possess the ability to process and generate human-quality text, enabling them to undertake a wide array of complex tasks. Through exposure to extensive datasets during pre-training, LLMs acquire the capacity to develop a nuanced understanding of language and its intricacies.

Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 23 October 2024 / Approved: 25 October 2024 / Online: 28 October 2024 (07:20:20 CET) Hijón-Neira, R.; Pizarro, C.; Borrás-Gené, O.; Cavero, S. AI-Generated Context for Teaching Robotics to Improve Computational Thinking in Early Childhood Education. Preprints 2024, 2024102038. https://doi.org/10.20944/preprints202410.2038.v1 Hijón-Neira, R.; Pizarro, C.; Borrás-Gené, O.; Cavero, S.