Introducción: La incorporación de la Inteligencia Artificial Generativa (IAG) dentro de la educación superior modificó las dinámicas de enseñanza-aprendizaje, aunque continúan existiendo disputas relativas a su eficacia metodológica en plazos largos. Objetivo: Examinar la utilidad de las acciones didácticas fundadas en IAG respecto al desempeño académico y las habilidades digitales en alumnos de educación superior. Metodología: Revisión sistemática conforme guías PRISMA 2020. Se hicieron consultas en Scopus, Web of Science, PubMed y SciELO (marzo 2026). Se tomaron 49 trabajos editados entre 2018-2026, valorándose la solidez metodológica mediante instrumento MMAT. Resultados: El 72.4% de los informes indicaron avances notorios en el rendimiento académico (crecimientos del 5.2% hasta 23.7%), mostrando impactos mayores en materias STEM y en acciones de ≥8 semanas. El 78.3% registraron progresos en capacidades digitales generales. Las opiniones de los estudiantes resultaron mayormente favorables (82.8%), mientras que los profesores exhibieron opiniones diversas, con inquietudes sobre calificación y verdad. La diversidad metodológica fue elevada (I²=79.4%). Conclusiones: La IAG funciona como un impulsor de renovación pedagógica con capacidad cambiante, pero su adopción exitosa demanda planes educativos deliberados, capacitación docente, normas institucionales definidas y tratamiento de las divisiones digitales. Son necesarios investigaciones longitudinales y en entornos variados para reforzar las pruebas.
Introduction: The integration of Generative Artificial Intelligence (GAI) into higher education has reshaped teaching and learning dynamics; however, ongoing debate persists regarding its long-term methodological effectiveness. Objective: To assess the effectiveness of GAI-based pedagogical interventions on academic achievement and digital competencies among higher education students. Methodology: A systematic review was conducted following PRISMA 2020 guidelines. Databases including Scopus, Web of Science, PubMed, and SciELO were searched (March 2026). Forty-nine studies published between 2018 and 2026 were included, and methodological quality was appraised using the MMAT tool. Results: Seventy-two point four percent of the studies reported significant improvements in academic performance (ranging from 5.2% to 23.7%), with greater effects observed in STEM disciplines and in interventions lasting eight weeks or more. Seventy-eight point three percent documented gains in overall digital competencies. Student perceptions were predominantly favorable (82.8%), whereas faculty opinions were more divided, particularly regarding assessment practices and academic integrity. Methodological heterogeneity was considerable (I² = 79.4%). Conclusions: GAI serves as a catalyst for pedagogical renewal with transformative capacity; nevertheless, successful implementation hinges on intentional educational design, ongoing teacher development, clear institutional frameworks, and equitable access to technology. Further longitudinal and contextually diverse research is required to consolidate the available evidence.