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Publications addressing AI in science education in Scopus-indexed periodicals from 2002 through May 2023 are categorized by outputs and citations per year, leading countries, authors, affiliations, and funding institutions. Results highlight 2016–2022 as the main production period, with citation growth peaking in 2022, and outline future research directions from a global perspective.",{"@graph":69,"@context":121},[70,84,104],{"@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-bibliometric-review/600321/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":98,"encodingFormat":97,"isAccessibleForFree":99,"interactionStatistic":100},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/artificial-intelligence-in-science-education-a-bibliometric-review/600321.png","ImageObject",300,407,{"name":92,"@type":93},"RuangKosong","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-15",true,{"@type":101,"interactionType":102,"userInteractionCount":4},"InteractionCounter",{"@type":103},"ViewAction",{"@type":105,"mainEntity":106},"FAQPage",[107,113,117],{"name":108,"@type":109,"acceptedAnswer":110},"What is the main objective of the bibliometric review?","Question",{"text":111,"@type":112},"To provide bibliometric data on publications about AI in science education in Scopus-indexed periodicals within 2002 to May 2023.","Answer",{"name":114,"@type":109,"acceptedAnswer":115},"Which period had most publications in the reviewed literature?",{"text":116,"@type":112},"Most papers were published between 2016 and 2022.",{"name":118,"@type":109,"acceptedAnswer":119},"What did the study report about citation trends?",{"text":120,"@type":112},"Citations to Scopus-indexed publications increased progressively and reached a maximum in 2022 with 178 citations.","https://schema.org",{"og:url":83,"og:type":123,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":125,"canonical":83},"index,follow",{"doc_id":127,"site_id":62},600321,1792090458,{"code":4,"msg":5,"data":130},{"doc_id":127,"user_id":131,"nickname":92,"user_avatar":132,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":133,"file_id":134,"file_url":135,"file_type":136,"file_size":137,"view_count":4,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":138,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":128,"read_time":143},962090883219,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","Contemporary Educational Technology, 2023, 15(4), ep460  \n ISSN: 1309-517X (Online)   \n OPEN ACCESS  Review Article  \nArtificial intelligence in science education: A bibliometric review  \nRoza S. Akhmadieva 1  \n 0000-0002-1583-3975  \nNatalia N. Udina 2  \n 0000-0002-4945-7605  \nYuliya P. Kosheleva 3  \n 0000-0001-5653-2143  \nSergei P. Zhdanov 4*  \n 0000-0002-1330-8165  \nMaria O. Timofeeva 5  \n 0000-0001-7222-7042  \nRoza L. Budkevich 6  \n 0000-0001-9221-090X  \n1 Kazan State Institute of Culture, Kazan, RUSSIA  \n2 RUDN University, Moscow, RUSSIA  \n3 Moscow State Linguistic University, Moscow, RUSSIA  \n4 Plekhanov Russian University of Economics, Moscow, RUSSIA  \n5 I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, RUSSIA  \n6 Almetyevsk State Oil Institute, Almetyevsk, RUSSIA  \n* Corresponding author: [zhdanov120009@yandex.ru](zhdanov120009@yandex.ru)  \nCitation: Akhmadieva, R. S., Udina, N. N., Kosheleva, Y. P., Zhdanov, S. P., Timofeeva, M. O., & Budkevich, R. L. (2023) . Artificial intelligence in science education: A bibliometric review. Contemporary Educational Technology, 15(4), ep460 .  \n[https://doi.org/10.30935/cedtech/13587](https://doi.org/10.30935/cedtech/13587)  \nARTICLE INFO ABSTRACT  \nReceived: 20 Apr 2023  \nAccepted: 8 Aug 2023  \nA descriptive bibliometric analysis of works on artificial intelligence (AI) in science education is provided in this article to help readers understand the state of the field’s research at the time. This study’s main objective is to give bibliometric data on publications regarding AI in science education printed in periodicals listed in the Scopus database between 2002 and 2023 end of May. The data gathered from publications scanned and published within the study’s parameters was subjected to descriptive bibliometric analysis based on seven categories: number of articles and citations per year, countries with the most publications, most productive author, most significant affiliation, funding institutions, publication source and subject areas. Most of the papers were published between 2016 and 2022. The United States of America, United Kingdom, and China were the top-3 most productive nations, with the United States of America producing the most publications. The number of citations to the publications indexed in Scopus database increased in a progressive way and reached to maximum number in 2022 with 178 citations. Most productive author on this topic was Salles, P. with four publications. Moreover, Carnegie Mellon University, University of Memphis, and University of Southern California have the maximum number of publications as affiliations. The National Science Foundation was the leader funding institution in terms of number of publications produced. In addition,“Proceedings Frontiers in Education Conference Fie” have the highest number of publications by year as a publication source. Distribution of the publications by subject area was analyzed. The subject areas of the publications were computer sciences, social sciences, science education, technology and engineering education respectively. This study presents a vision for future research and provides a global perspective on AI in science education.  \nKeywords: artificial intelligence, science education, STEM, bibliometric review  \nINTRODUCTION  \nScience education might be significantly changed by artificial intelligence (AI), a fast-expanding field. It was gathered and examined research papers on the application of AI in science education for this overview of the literature.  \nRecent years have seen a rise in interest in the study of AI in science education. Science education is only one of the many domains, where AI has applications. For example, Zhai and Krajcik (2022) revealed that applying machine learning to automatically assess science models. AI is a constantly expanding and fascinating topic. The effectiveness of teaching and learning processes may be enhanced by the application of AI in scienc","cbCaihftJ7RecFw9","https://ap.wps.com/l/cbCaihftJ7RecFw9","pdf",415424,13,"English","# Abstract\n# Introduction","[{\"question\":\"What is the main objective of the bibliometric review?\",\"answer\":\"To provide bibliometric data on publications about AI in science education in Scopus-indexed periodicals within 2002 to May 2023.\"},{\"question\":\"Which period had most publications in the reviewed literature?\",\"answer\":\"Most papers were published between 2016 and 2022.\"},{\"question\":\"What did the study report about citation trends?\",\"answer\":\"Citations to Scopus-indexed publications increased progressively and reached a maximum in 2022 with 178 citations.\"}]","Artificial intelligence in science education - A bibliometric review | PDF",33]