Artificial intelligence (AI) has been widely used in biological fields such as medicine, agriculture and biology-based industries. So what can AI be used for in biology education? can AI help biology education in achieving Education for Sustainable Development (ESD)? The aim of this research is to fill the gap in current research on AI that can be used in biology education. This review study uses bibliometric analysis and content analysis using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) model by entering the words "Artificial intelligence for Biology Education" in the disbursement menu in databases indexed in Web of Science and Scopus from 2018 until 2023, then only open access articles, original article format, and articles in English only. 53 studies on Artificial Intelligence in Biology Education (AIBE) will be analyzed in more depth. CiteSpace analysis tool was used for analysis. This research aims to provide an overview of the use of AI in biology education and identify key research trends, keywords, research themes, countries/regions, high-impact journals, institutions, and the impact of AIBE studies on ESD. Key themes extracted from the selected studies include the development of intelligent tutoring systems, virtual laboratory simulations, automated assessment tools, adaptive learning platforms, and data-driven decision-making support. Content analysis needs to be and will be studied to explore learning outcomes and the overall impact of AI technology on elementary to high school students.

Authors:
Triana Asih, Universitas Negeri Malang, Indonesia
Hadi Suwono, Universitas Negeri Malang, Indonesia
Utami Sri Hastuti, Universitas Negeri Malang, Indonesia
John Williams, Curtin University, Australia

About the Presenter(s)
Ms Triana Asih works as a lecturer at Muhammadiyah University, Metro Lampung, Indonesia, and in 2022 will continue her doctoral education at Malang State University.

See this presentation on the full schedule – Sunday Schedule

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