Julio Ruiz‐Palmero
Papers
3
Total Citations
60
H-Index
3
About
Julio Ruiz‐Palmero is a leading voice in educational technology, whose work centers on the digital competence of higher education teachers and the integration of emerging tools in the classroom. His research rigorously maps and models how educators can master frameworks like DigCompEdu, using advanced statistical methods to identify key predictors of digital readiness. In his highly cited 2021 study (37 citations), he developed classification models—logistic regression and segment trees—to determine the factors that elevate teachers to expert digital competence, a foundational contribution to the field. More recently, his 2023 work (15 citations) broke new ground by revealing that creativity and entrepreneurship are essential predictors for teacher training in digital research skills, shifting the conversation beyond mere technical proficiency. He has also explored the practical application of these competences in block programming for educational robotics, analyzing active primary education teachers’ readiness. Through these studies, Ruiz‐Palmero provides a data-driven roadmap for 21st-century teacher training, demonstrating that fostering innovative mindsets is as critical as building technical skills for preparing future generations.
Research Focus
Key Achievements
Top Papers
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