In recent years, the use of artificial intelligence (AI) has become increasingly widespread and has attracted significant attention worldwide. In this study, a systematic review was conducted to determine the use of AI in biology education and the prevailing trends in its application. The study aimed to conduct a comprehensive review of articles published between 2010 and 2024 that employed artificial intelligence in biology education. In line with this aim, a total of 49 keywords were searched from Web of Science, SCOPUS, ERIC and IEEE Xplore databases. The entire process was summarized in the PRISMA diagram. 39 articles were deemed eligible for inclusion in the systematic review. The selected articles were analyzed in terms of publication year, research method, country of conduct, study group, number of participants, subject area, artificial intelligence technologies used, artificial intelligence applications used, and their outcomes. An evaluation of the articles according to the main topics in biology revealed that there is a lack of sufficient research on the evolutionary history of biodiversity and the models and processes of evolution. It was also found that there is a lack of sufficient research in the literature on artificial intelligence-supported educational games and simulations in biology education. In this context, it is recommended that the use of artificial intelligence technologies in biology education be expanded to include educational games, which are frequently used to motivate students and encourage learning, and simulations, which are suitable for development in many areas of biology education.
Duran et al. (Wed,) studied this question.
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