Bibliographic database of Artificial intelligence in education: from instrumental adoption to human-centered pedagogical ecologies

This bibliographic database compiles and systematizes scientific literature on artificial intelligence in education, with particular attention to the transition from instrumental forms of technological adoption toward more complex, human-centered pedagogical ecologies. The database brings together studies that examine the educational uses, implications, opportunities, and challenges of AI across teaching, learning, assessment, institutional innovation, digital literacy, and ethical governance. Its purpose is to support the analysis of how AI in education has evolved beyond its use as a technical tool for automation, efficiency, or academic support, toward approaches that emphasize pedagogical transformation, learner agency, teacher mediation, ethical responsibility, inclusion, and the reconfiguration of educational ecosystems. By organizing the literature bibliographically and thematically, the database provides a foundation for mapping research trends, identifying conceptual contributions, detecting emerging gaps, and informing future studies on the role of AI in human-centered educational innovation.