Metodologías de investigación en la educación superior mediadas por tecnologías digitales

The digital transformation of higher education has generated significant changes in the processes of production, analysis, and dissemination of scientific knowledge. The development of digital technologies, academic platforms, and artificial intelligence tools has expanded the possibilities for conducting research, collaborating, and sharing scientific results in increasingly interconnected environments. In this context, university research has evolved toward more dynamic, interdisciplinary models supported by technological resources that facilitate access to large volumes of information, the processing of complex data, and the collaborative generation of knowledge. This book analyzes research methodologies in higher education mediated by digital technologies, addressing both their theoretical foundations and the methodological tools that characterize academic research in the digital era. Through a bibliographic review approach, the work examines the main research paradigms in digital environments, as well as the evolution of methodological approaches used to study educational phenomena in university contexts. The book also explores quantitative, qualitative, and mixed methods applied to the analysis of contemporary educational issues, highlighting the importance of integrating different methodological approaches to better understand the complexity of learning processes in higher education. In this sense, various technological tools used for data collection, analysis, and visualization are examined, including digital platforms, statistical software, learning analytics systems, and artificial intelligence–based applications. Furthermore, the impact of artificial intelligence on scientific research processes is analyzed, particularly in the automation of analytical tasks, the processing of large datasets, and the assisted generation of knowledge. These technological advances have created new opportunities for academic research; however, they also raise challenges related to research ethics, academic integrity, data protection, and the need to ensure transparency and reproducibility of scientific results.