IMPROVING SECONDARY SCHOOL STUDENT PERFORMANCE IN BIOLOGY CLASSES USING AI

dc.contributor.authorAdilzhan A.
dc.contributor.authorBaimanova A.
dc.contributor.authorBexultanova A.
dc.date.accessioned2025-08-21T05:54:55Z
dc.date.available2025-08-21T05:54:55Z
dc.date.issued2024
dc.description.abstractThe implementation of Artificial Intelligence into teaching biology to secondary school students implies that it will help people learn better and achieve educational goals more effectively. This study focuses on assessing the impact of AI-driven teaching methods on student motivation and academic performance through qualitative interviews and quantitative surveys with biology teachers, and pre- and post-tests results of students from different schools of Almaty, Kazakhstan. The study found that while there was only a slight improvement in overall academic knowledge, student motivation 137 significantly increased as a result of the AI-enhanced learning experience. The incorporation of AI technologies stimulated student interest and enthusiasm for biology, fostering a deeper engagement with the subject matter and promoting active participation in learning activities. Overall, this study underscores the importance of integrating innovative technologies like AI into educational practices to create dynamic and engaging learning environments that inspire and empower students to excel in their academic pursuits.
dc.identifier.citationAdilzhan A , Baimanova A , Bexultanova A /IMPROVING SECONDARY SCHOOL STUDENT PERFORMANCE IN BIOLOGY CLASSES USING AI / Faculty of Education & Humanities / 2024
dc.identifier.urihttps://repository.sdu.edu.kz/handle/123456789/1932
dc.language.isoen
dc.publisherFaculty of Education & Humanities
dc.subjectArtificial Intelligence
dc.subjectInnovative Teaching
dc.subjectInnovative Technology
dc.titleIMPROVING SECONDARY SCHOOL STUDENT PERFORMANCE IN BIOLOGY CLASSES USING AI
dc.typeArticle

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
102-113-PB-136-155[1].pdf
Size:
824.6 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
12.6 KB
Format:
Item-specific license agreed to upon submission
Description: