Vol. 3 No. 2 (2024): AI in Multidisciplinary Education: Analysis, Applications, and Innovative Methodologies in Sciences, Law, and Markets

From the early steps of Artificial Intelligence (AI) in 1999 to the development of trained algorithms that gave rise to tools like Netflix in 2007 and later Facebook, we have witnessed rapid progress in this field, characterized by so-called Artificial Narrow Intelligence (ANI). However, in recent years, with significant milestones such as the emergence of ChatGPT developed by OpenAI in 2018, AI has undergone a remarkable transformation. With the potential to personalize learning, optimize teaching, and expand access to education, AI is fundamentally changing the way we teach and learn. In this context, in the digital age we live in, it is necessary to closely examine how AI is influencing teaching and learning, as well as the training of educators, from a multidisciplinary perspective that integrates knowledge from Sciences, Law, and Markets.

Since the resurgence of ChatGPT in June 2020 with the release of the GPT-3 version, driven by continued advancements in the field of machine learning and the growing demand for more powerful and versatile language models, we have witnessed a proliferation of applications of AI-based tools in the educational field, from intelligent tutoring systems to adaptive learning platforms. However, the effective integration of AI in education presents a series of technical, ethical, and pedagogical challenges that require careful reflection and a collaborative approach among experts from various disciplines.

In this issue, we aim to gather a collection of articles that explore different aspects of the intersection between AI and education from the perspectives of Sciences, Law, and Markets. This includes the development of AI technologies specifically designed to improve educational processes, innovation in teaching and learning methodologies driven by AI, the analysis of educational data to provide useful insights, as well as reflection on ethical and social aspects of AI in education. Additionally, teacher training in AI will be addressed, and practical experiences and relevant case studies in the field will be presented. Highlighting the application of AI in the fields of sciences, law, and markets, the selected articles will contribute to promoting a more inclusive, equitable, and student-centered education while fostering digital literacy in these key areas of knowledge.

It is important to adopt a multidisciplinary perspective when addressing the challenges and opportunities presented by the integration of AI in education. By combining the knowledge and skills of Sciences, Law, and Markets with pedagogical principles and ethical considerations, we can work together to build a more inclusive, equitable, and student-centered educational future.