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It examines how AI is used across scientific fields and learning contexts and evaluates impacts on teaching and learning practices. Results show diverse AI applications such as chatbots, intelligent tutoring systems, and AI-enhanced textbooks, supporting instruction and assessment while improving student performance, motivation, and engagement, especially through personalized and self-regulated learning. Challenges involve infrastructure, system sensitivity and reliability, and ethical concerns; success also depends on teacher preparation, professional development, and future work on long-term effects, transfer across settings, and AI literacy.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/artificial-intelligence-in-science-education-a-systematic-review-of-applications-impacts-and-challenges/600511/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/artificial-intelligence-in-science-education-a-systematic-review-of-applications-impacts-and-challenges/600511.png","ImageObject",300,407,{"name":92,"@type":93},"OmBimo","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-01","2026-10-15",true,{"@type":102,"interactionType":103,"userInteractionCount":34},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What studies does the systematic review analyze, and what time span do they cover?","Question",{"text":112,"@type":113},"The review analyzes 17 studies published from 2020 to 2024.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Which AI applications in science education are highlighted by the findings?",{"text":117,"@type":113},"The paper highlights chatbots, intelligent tutoring systems, and AI-enhanced textbooks, used for both learning support and assessment.",{"name":119,"@type":110,"acceptedAnswer":120},"What benefits and challenges does the review report for integrating AI into science education?",{"text":121,"@type":113},"It reports favorable effects on student performance, motivation, and engagement, especially for personalized and self-regulated learning, while also identifying infrastructure, sensitivity/reliability, and ethical issues.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},600511,1792622481,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":34,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145},962090893581,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","Contemporary Educational Technology, 2025, 17(4), ep613  \n ISSN: 1309-517X (Online)   \n OPEN ACCESS  Review Article  \nArtificial intelligence in science education: A systematic review of applications, impacts, and challenges  \nAlbinа R. Fayzullina 1*  \n 0000-0001-5289-0138  \nAlla A. Filippova 2  \n 0000-0002-0295-4751  \nNatalya Y. Garnova 2  \n 0000-0002-6685-9761  \nDmitry V. Astakhov 2  \n 0000-0003-3096-9931  \nNadezhda Kalmazova 3  \n 0000-0002-5406-0581  \nZulfiya F. Zaripova 4  \n 0000-0002-1239-7872  \n1 Kazan (Volga Region) Federal University, Kazan, RUSSIA  \n2 I. M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, RUSSIA  \n3 Peoples’ Friendship University of Russia named after Patrice Lumumba (RUDN University), Moscow, RUSSIA  \n4 Almetyevsk State Technological University «Petroleum High School», Almetyevsk, RUSSIA  \n* Corresponding author: [fazalbina@rambler. ru](fazalbina@rambler. ru)  \nCitation: Fayzullina, A. R., Filippova, A. A., Garnova, N. Y., Astakhov, D. V., Kalmazova, N., & Zaripova, Z. F. (2025) . Artificial intelligence in science education: A systematic review of applications, impacts, and challenges. Contemporary Educational  \nTechnology, 17(4), ep613. [https://doi.org/10.30935/cedtech/17519](https://doi.org/10.30935/cedtech/17519)  \nARTICLE INFO ABSTRACT  \nReceived: 9 May 2025  \nAccepted: 13 Nov 2025  \nThis systematic review investigates the incorporation of artificial intelligence (AI) into science education by analyzing 17 studies published from 2020 to 2024. The paper examines the utilization of AI in different scientific fields and educational settings and assesses its influence on the methods of teaching and learning. The findings demonstrate a diverse range of AI applications, including chatbots, intelligent tutoring systems, and AI-enhanced textbooks. These apps serve many functions, from being educational tools to assisting in assessments. The investigation demonstrates the favorable impact of AI on student performance, motivation, and engagement in science education, particularly in the areas of personalized learning and the development of self-regulated learning skills. Additionally, issues related to technological infrastructure, obstacles to the sensitivity and reliability of AI systems, and ethical issues were also examined. The study emphasizes the importance of teacher preparation in achieving the successful integration of AI and expresses the necessity of comprehensive professional development. Potential areas for future research encompass investigating the enduring consequences of AI utilization, exploring its applicability in diverse educational settings, and fostering the growth of AI literacy. The study’s findings indicate that while AI has the potential to greatly improve science education, its successful application necessitates thoughtful evaluation of technological, pedagogical, ethical, and social elements to ensure fair and efficient integration across all educational levels.  \nKeywords: artificial intelligence, science education, AI-enhanced teaching, educational chatbots  \nINTRODUCTION  \nFrom many angles–personal, social, financial–science education is vital. From an economic standpoint, it is especially vital in satisfying the needs of the workforce in sectors including engineering and technology, which are absolutely vital for national and global development and economic advancement (Osborne & Allchin, 2024; Rotatori et al., 2021) . Scientific literacy is essential for informed citizenship in a democratic society at the society level since it helps people to make reasonable decisions about socio-scientific issues, such those resulting from developments in genetics and genomics, with significant consequences for both public and personal health (Kruit et al., 2024; Ottander & Simon, 2021) . Personal level science education is distinguished by the development of critical thinking and problem-solving abilities required to understand and assess ethical dilemma","cbCaif96raeZlQSL","https://ap.wps.com/l/cbCaif96raeZlQSL","pdf",478043,23,"English","# Introduction\n## Importance of science education\n## Role of AI in education\n## Integration of AI into science education","[{\"question\":\"What studies does the systematic review analyze, and what time span do they cover?\",\"answer\":\"The review analyzes 17 studies published from 2020 to 2024.\"},{\"question\":\"Which AI applications in science education are highlighted by the findings?\",\"answer\":\"The paper highlights chatbots, intelligent tutoring systems, and AI-enhanced textbooks, used for both learning support and assessment.\"},{\"question\":\"What benefits and challenges does the review report for integrating AI into science education?\",\"answer\":\"It reports favorable effects on student performance, motivation, and engagement, especially for personalized and self-regulated learning, while also identifying infrastructure, sensitivity/reliability, and ethical issues.\"}]","Artificial intelligence in science education - A systematic review of applications, impacts, and challenges | PDF",1792090837,58]