Integration of Digital Tools and AI in Student Teacher Training

This applied research project addresses the critical challenge of integrating digital tools and Artificial Intelligence (AI) into initial teacher training, a fundamental area given rapid educational digitalization. The core problem lies in determining how the didactic and pedagogical use of these technologies improves essential skills in future educators, such as virtual classroom management, digital content design, online evaluation, and effective communication in digital environments. Currently, many digital competencies are acquired self-taught, highlighting the need for a systematic approach. The research will employ a quantitative methodology with a correlational and descriptive design, utilizing surveys, competency tests, and structured observations on a sample of students from the Salesian Polytechnic University. The goal is to identify the most effective digital tools that support the TPACK model (Technology, Pedagogy, and Content Knowledge). Expected outcomes include identifying technology-supported pedagogical practices that prove most effective and formulating concrete recommendations to align teacher training curricula with current technological needs. This will directly impact the quality of education provided by future teachers and, consequently, their students' learning, informing institutional educational policies.<br/><br/><b>Goal</b>: <br/>To evaluate how the didactic and pedagogical use of various digital tools improves pedagogical, technical, and knowledge management skills in students training to become teachers at the Salesian Polytechnic University, in order to establish recommendations that optimize their training in contemporary educational environments.<br/><br/><b>Research lines</b>: <br/>Educational policies and teacher training