AI-Powered Technology in Enhancing Biology Education

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dc.contributor.authorBizhanova A.
dc.date.accessioned2026-09-11T06:45:59Z
dc.date.available2026-09-11T06:45:59Z
dc.date.issued2026
dc.description.abstractThis study investigated the impact of AI-supported learning on academic achievement, student perceptions, engagement, independent learning, and AI literacy in university biology education. The research was conducted among 52 undergraduate students enrolled in a biology course focusing on nervous system anatomy. A quasiexperimental design was employed, involving a control group receiving traditional instruction and an experimental group participating in AI-supported learning activities. Data were collected using pre-tests, post-tests, and a student perception questionnaire. The results demonstrated significant improvements in academic achievement within both groups. Although the AI-supported group achieved higher mean post-test scores, the difference between groups was not statistically significant according to independent-samples t-tests and ANCOVA analyses. Questionnaire findings revealed highly positive student perceptions of AI-supported learning. Students reported that AI facilitated understanding of complex biological concepts, supported independent learning, enhanced engagement, and helped identify knowledge gaps. Participants also demonstrated awareness of AI-related challenges, including misinformation, inaccuracies, and excessive reliance on AI-generated content. The findings suggest that AI-supported learning represents a valuable complement to traditional biology instruction. While no statistically significant achievement advantage was identified, AI contributed positively to student engagement, independent learning, conceptual understanding, and responsible.
dc.identifier.citationBizhanova A / AI-Powered Technology in Enhancing Biology Education / SDU University / Department of Pedagogy of Natural Sciences
dc.identifier.urihttps://repository.sdu.edu.kz/handle/123456789/2664
dc.language.isoen
dc.publisherSDU University
dc.subjectartificial intelligence
dc.subjectAI-supported learning
dc.subjectbiology education
dc.subjectacademic achievement
dc.subjectstudent engagement
dc.titleAI-Powered Technology in Enhancing Biology Education
dc.typeThesis

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