ARTIFICIAL INTELLIGENCE AS A MEDIATING TOOL FOR TRAINING IN A PHENOMENOLOGICAL ENGINEERING HIGHER EDUCATION EXPERIENCE

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Abstract

ABSTRACT: Introduction the integration of artificial intelligence has created new perspectives on its role as a mediating tool in the teaching and learning process, particularly in engineering. The use of ChatGPT to support the academic training of Computer Systems Engineering (ISC) and Information Technology Management Engineering (IGTI) students in a higher education institution in northeastern Mexico was studied. This academic research arises from the need to align the educational paradigm with technological advancement, thus promoting a comprehensive understanding of the educational phenomenon through a qualitative lens. Objectives and methods The main objective was to develop a theoretical approach to the use of ChatGPT in the educational context of engineering, based on the meanings attributed to it by students during their learning in Object Oriented Programming. The study employs a qualitative phenomenological-hermeneutic approach, using focused testimonies and experience diaries as key data collection methods. The GLATER model was applied for systematization and analysis, allowing a comprehensive interpretation of the participants' experiences. Results Student testimonials revealed experiences and interpretations of using ChatGPT as an educational tool, reporting increased personalization in learning, highlighting the clarity and accessibility of the information provided by the AI. Others experienced stress and frustration, citing a superficial understanding of concepts and less interaction with the teacher. Narratives indicated that AI integration changes the dynamics of teaching, prompting reflections on the teacher-student relationship and the balance needed between technology and human guidance for meaningful learning. Conclusions ChatGPT constitutes a promising mediating tool to enrich educational experiences in engineering, supporting personalized learning and the integration of technological pedagogy. However, it also presents challenges, such as superficial teaching and possible social isolation. Achieving a balanced approach between the use of AI and teacher support is essential to ensure a more complete and meaningful learning process.

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Institutions
  • 1 University of Montemorelos
Track
  • 3. Qualitative Research in Social Science
Keywords
Artificial Intelligence
ChatGPT
Higher Education
Engineering Education
Phenomenology