Artificial intelligence in the development of scientific material: new challenges for teachers

Abstract

The advancement of artificial intelligence has opened new possibilities in various fields, including the development of scientific material. However, despite the benefits it can provide, there are also limitations such as the need for large amounts of verifiable and quality data to train discourse construction models. This contribution aimed to examine the need for information literacy among teachers to address the development of scientific documents with artificial intelligence. It was identified that, although models can generate coherent texts, it is necessary to have the human faculty of reasoning and critical analysis to ensure the truthfulness and quality of the created scientific material. Consequently, teachers must master these tools in their practical and ethical dimensions in order to carry out a quality teaching and learning process. Information literacy is presented as the optimal perspective to address this issue. This implies developing skills and knowledge related to the search, evaluation, and use of scientific information; as well as the ability to discern between reliable and unreliable sources.