DEVELOPING DATA VISUALIZATION SKILLS IN FUTURE BIOLOGY TEACHERS USING ARTIFICIAL INTELLIGENCE

Abstract

This study investigates the potential of integrating artificial intelligence (AI) tools to enhance the visual literacy of preservice biology teachers. Visual literacy – the ability to interpret and create effective scientific visuals – is vital for modern biology education, yet it remains underrepresented in teacher preparation programs.

The research has both theoretical and practical importance. From a theoretical perspective, it draws on multimedia learning and cognitive load theory, highlighting how AI can support learners in creating clear and scientifically accurate representations. Practically, it demonstrates that AI-assisted reduces technical barriers and encourages preservice teachers to design engaging and pedagogically meaningful infographics.

The study was conducted with 48 second-year biology teacher education students at Abai Kazakh National Pedagogical University. The design included three stages: baseline assessment, intervention through AI features, and post-assessment. Visual literacy was evaluated on scientific accuracy, clarity, creativity, and interpretation. Statistical analysis (paired-sample t-tests, Cohen’s d) confirmed moderate but significant improvements across all criteria.

Findings support the hypothesis that AI-assisted training enhances visual literacy, though continued pedagogical guidance is essential for long-term impact. The study’s practical significance lies in equipping future biology teachers with digital and design skills necessary for effective classroom communication.