Towards an experience in AI-driven development for programming applied to multimedia using Tabnine

The development of enjoyable, interesting and meaningful learning experiences in different domains, such as, for example, learning programming languages driven with artificial intelligence (AI) is a current challenge that should be monitored from a longitudinal scope to evidence its true potential. The objective of this work is to contribute to the existing literature on an experience in AI-driven development for programming applied to multimedia, using Tabnine as a central tool. An empirical-analytical research methodology of quantitative, quasi-experimental and longitudinal design is developed. Students who have taken the subject of Programming Applied to Multimedia, from May 2023 to September 2024, of the Multimedia Design career in a Polytechnic University in the city of Guayaquil in Ecuador, participate in the study. The results highlight positive learning factors such as minimizing algorithmic writing time and choice of code, as well as maximizing productivity in the search for a solution, improvements in study commitment, and satisfaction at the time of learning. 91% of the students evidenced their interest and satisfaction in these learning experiences developed by the teachers for learning programming. Future work is focused on longitudinal studies to provide new effective experiences with the use of AI tools that influence academic performance and student ethics.