Abstract
Artificial intelligence (AI) tools are transforming education by offering personalized and effective learning experiences. However, in legal education, there is limited research on their effectiveness in developing interactive lessons. This study addresses this gap by evaluating how AI enhances the understanding of complex legal concepts, promotes classroom interaction, and increases student and teacher satisfaction. The research aims to determine the effectiveness of AI tools in developing interactive legal lessons, focusing on their impact on interactivity, student satisfaction, and ease of use. A mixed methodology, predominantly qualitative, will be employed, including surveys, semi-structured interviews, and comparative analysis of grades. The study targets third-year law students with access to electronic devices and stable internet. The research design is exploratory-descriptive. AI tools will be assessed through variables such as activity completion rates, satisfaction levels, and academic performance. For instructors, factors like preparation time and creativity in assessments will be analyzed. Data is examined using statistical and qualitative techniques to identify significant patterns. AI has the potential to personalize learning, simulate practical cases, and democratize access to knowledge by reducing educational gaps. Ethically, this study follows the guidelines of the Norbert Wiener University Ethics Committee, ensuring responsible data use. This contributes to education by providing evidence of AI’s impact in legal teaching, fostering pedagogical innovation, and addressing both benefits and challenges for ethical, effective, and inclusive integration.
Presenters
Cindy Salvador MárquezResearch Coordinator, Law School, Universidad Privada Norbert Wiener, Lima, Peru
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
Artificial Intelligence, Legal Education, Interactive Learning, Student Satisfaction, Pedagogical Innovation
