Impact of Integrating Generative Artificial Intelligence and Learning Science on Research Skills among Doctoral Candidates
Impacto de la integración de IA generativa y ciencia del aprendizaje en habilidades investigativas de doctorantesMain Article Content
In postgraduate education, artificial intelligence (AI) enhances research training by sup-porting critical analysis, literature synthesis, and scientific writing, functioning as cognitive scaffolding for advanced competencies. This study aimed to evaluate the effective-ness of a pedagogical intervention that integrates generative AI with learning-science principles to improve research skills in doctoral candidates. A quantitative pretest–posttest design was used to measure improvement across key research dimensions, including critical analysis, source search, and scientific writing. The study showed an overall gain of 27.3 points (pretest: 48.5; posttest: 75.8), which was statistically significant (p < .001). Dimension-specific improvements were as follows: critical analysis (+31.4), source search (+25.9), and scientific writing (+22.6), confirming the intervention’s effectiveness. These findings indicate that pedagogically integrating generative AI with learning-science principles is an effective model for strengthening doctoral research skills.
La IA en posgrado optimiza la formación investigativa mediante herramientas que poten-cian el análisis crítico, sintetizan literatura y mejoran la escritura científica, funcionando como andamiaje cognitivo para desarrollar competencias superiores. De esta forma, el objetivo de la presente investigación fue evaluar la efectividad de una intervención pedagógica basada en la integración de inteligencia artificial generativa y principios de la ciencia del aprendizaje para mejorar las habilidades de investigación en estudiantes de doctorado. Se aplicó un enfoque cuantitativo con un diseño pretest-postest para medir la mejora en dimensiones clave de la investigación como la revisión de literatura, el análisis de datos y la redacción científica. El estudio evidenció una mejora global de 27.3 puntos (pretest: 48.5; postest: 75.8), estadísticamente significativa (p < 0.001). Las mejoras por dimensión fueron: Análisis Crítico (+31.4), Búsqueda de Fuentes (+25.9) y Redacción Científica (+22.6), confirmando la efectividad de la intervención. La presente investigación demuestra que la integración pedagógica de inteligencia artificial generativa con principios de la ciencia del aprendizaje constituye un modelo efectivo para potenciar las habilidades investigativas en doctorantes.
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