Artificial Intelligence Literacy in Research

This research article examines the use of artificial intelligence (AI) literacy in the field of research. Employing a multi-method methodological approach, it integrates narrative review, a quasi-experiment of an AI literacy course, and methodological triangulation. As a result, it describes a comprehensive content construct to develop AI literacy processes aimed at researchers. This construct encompasses generic competencies, generative AI, search engines, document interaction, document analysis by characteristics, generation of co-citation maps, literature reviews, database integration, data analysis, research tools, ethics in AI literacy, development of critical thinking through AI, and evaluation of AI literacy. The proposal provides a solid guide to strengthen the understanding and application of AI in research.