Integrating generative artificial intelligence for learning programming fundamentals: a systematic literature review
DOI:
https://doi.org/10.62697/rmiie.v3i2.78Keywords:
Generative Artificial Intelligence, learning, competences, programmingAbstract
Generative Artificial Intelligence (GAI) has shown significant potential to revolutionize the learning of programming at educational levels from primary to higher education. This systematic literature review evaluates how GCI is integrated into the teaching of programming fundamentals, highlighting both its advantages and associated challenges. IAG tools, including intelligent tutoring systems and interactive programming environments, offer personalization of learning and immediate feedback, facilitating a more adaptive and engaging learning environment. However, the literature review reveals gaps in the practical implementation and critical evaluation of these technologies, suggesting the need for a more integrated approach that considers both technical and humanistic aspects in the design of educational solutions. Thus, this study underlines the importance of multidisciplinary collaboration to effectively explore the ethical and efficient use of AGI in programming education.
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