Educational Innovation Through IAGen: Implementation of a Chatbot to Strengthen Disciplinary Knowledge in Undergraduate Nursing Teaching
Abstract
This study presents an experience of teaching innovation in higher education through the use of an academic chatbot in the subject “Emergency Nursing” of a private university in Chile. The objective was to strengthen the autonomous and meaningful learning of students, as well as promote the integration between theory and practice in highly demanding clinical scenarios. To this end, the chatbot “Emergency Assistant” was designed and implemented on the POE platform, aimed at the contents of acute coronary syndrome and trauma management. The research was developed under an action research methodology with a mixed approach, which included surveys of students, teachers and clinical supervisors, along with the validation of disciplinary and technological experts. During clinical practice, students interacted with the chatbot through simulated cases, self-assessments, and questions with immediate feedback. The results showed that the majority reinforced content, expressed interest in continuing to use the tool and teachers recommended its application in other subjects. It is concluded that the chatbot contributed to autonomous learning and decision-making in real urgent contexts, confirming the potential of generative artificial intelligence to promote active and meaningful teaching in higher education.
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