{"id":3765,"date":"2025-05-13T09:25:20","date_gmt":"2025-05-13T06:25:20","guid":{"rendered":"https:\/\/genaisa.eu\/?p=3765"},"modified":"2025-05-13T09:25:20","modified_gmt":"2025-05-13T06:25:20","slug":"chatgpt-poveikis-studentu-mokymosi-rezultatams-izvalgos-is-metaanalizes","status":"publish","type":"post","link":"https:\/\/genaisa.eu\/lt\/the-effect-of-chatgpt-on-students-learning-performance-insights-from-a-meta-analysis\/","title":{"rendered":"ChatGPT poveikis student\u0173 mokymosi rezultatams: \u012f\u017evalgos i\u0161 metaanaliz\u0117s"},"content":{"rendered":"<p>Neseniai atliktoje metaanaliz\u0117je, paskelbtoje \u017eurnale \u201e... <em>Humanitarini\u0173 ir socialini\u0173 moksl\u0173 komunikacijos<\/em> pateikia \u012ftikinam\u0173 \u012frodym\u0173 apie \u201eChatGPT\u201c poveik\u012f \u0161vietimo aplinkoje. I\u0161analizav\u0119 51 tyrim\u0105, atlikt\u0105 nuo 2022 m. lapkri\u010dio iki 2025 m. vasario m\u0117n., tyr\u0117jai Jin Wang ir Wenxiang Fan nustat\u0117, kad \u201eChatGPT\u201c reik\u0161mingai pagerina mokini\u0173 akademinius rezultatus, mokymosi suvokim\u0105 ir auk\u0161tesnio lygio m\u0105stymo \u012fg\u016bd\u017eius.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Svarbiausi rezultatai<\/h3>\n\n\n\n<p><strong>Akademiniai rezultatai<\/strong><br>Analiz\u0117 atskleid\u0117 didel\u012f teigiam\u0105 \u201eChatGPT\u201c poveik\u012f student\u0173 mokymosi rezultatams, kai efekto dydis g = 0,867. Tai rodo, kad \u201eChatGPT\u201c integravimas \u012f mokymosi aplink\u0105 gali gerokai pagerinti akademinius rezultatus.<\/p>\n\n\n\n<p><strong>Mokymosi suvokimas<\/strong><br>Studentai teig\u0117, kad naudodamiesi \u201eChatGPT\u201c mokymosi patirtis buvo \u012fvertinta vidutini\u0161kai teigiamai (g = 0,456). Tai rodo padid\u0117jus\u012f \u012fsitraukim\u0105 ir pasitenkinim\u0105, grei\u010diausiai d\u0117l \u012frankio geb\u0117jimo teikti tiesiogin\u012f gr\u012f\u017etam\u0105j\u012f ry\u0161\u012f ir suasmenint\u0105 pagalb\u0105.<\/p>\n\n\n\n<p><strong>Auk\u0161tesnio lygio m\u0105stymo \u012fg\u016bd\u017eiai<\/strong><br>\u201eChatGPT\u201c taip pat skatina auk\u0161tesnio lygio m\u0105stymo \u012fg\u016bd\u017eius, tokius kaip analiz\u0117 ir vertinimas, o poveikis yra vidutinis (g = 0,457). Pa\u017eym\u0117tina, kad poveikis buvo ry\u0161kesnis STEM kursuose (g = 0,737), palyginti su kalb\u0173 mokymosi ir \u012fg\u016bd\u017ei\u0173 lavinimo kursais.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u012etakos veiksniai<\/h3>\n\n\n\n<p>\u201eChatGPT\u201c efektyvumas priklauso nuo keli\u0173 veiksni\u0173:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Kurso tipas<\/strong>STEM kursai gauna didesn\u0119 naud\u0105 i\u0161 \u201eChatGPT\u201c integracijos.<\/li>\n\n\n\n<li><strong>Mokymosi modelis<\/strong>Problemomis gr\u012fsto mokymosi modeliai rodo geresnius rezultatus, kai derinami su \u201eChatGPT\u201c.<\/li>\n\n\n\n<li><strong>Naudojimo trukm\u0117<\/strong>Optimalus poveikis pasiekiamas nuolat vartojant 4\u20138 savaites.<\/li>\n\n\n\n<li><strong>\u201eChatGPT\u201c vaidmuo<\/strong>Jo efektyvumas padid\u0117ja, kai jis lanks\u010diai naudojamas kaip korepetitorius, mokymosi partneris ar edukacin\u0117 priemon\u0117.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Rekomendacijos pedagogams<\/h3>\n\n\n\n<p>Remiantis \u0161iais rezultatais, tyrimas si\u016blo:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Mokymo programos integravimas<\/strong>\u012etraukite \u201eChatGPT\u201c \u012f \u012fvairius dalykus, kad b\u016bt\u0173 patenkinti \u012fvair\u016bs mokymosi poreikiai.<\/li>\n\n\n\n<li><strong>\u0160vietimo sistemos<\/strong>Naudokite tokias sistemas kaip Bloomo taksonomija, kad gal\u0117tum\u0117te lavinti auk\u0161tesnio lygio m\u0105stymo \u012fg\u016bd\u017eius.<\/li>\n\n\n\n<li><strong>Lankstus \u012fgyvendinimas<\/strong>: Naudokite \u201eChatGPT\u201c keliuose vaidmenyse, kad padidintum\u0117te jo naudingum\u0105 klas\u0117je.<\/li>\n\n\n\n<li><strong>Nuolatinis naudojimas<\/strong>Nuolatinis naudojimas kelias savaites leid\u017eia pasiekti stabili\u0173 ir reik\u0161ming\u0173 mokymosi rezultat\u0173.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Poveikis generatyvinio dirbtinio intelekto \u0161vietimui<\/h3>\n\n\n\n<p>\u0160i metaanaliz\u0117 pabr\u0117\u017eia generatyvinio dirbtinio intelekto \u012franki\u0173, toki\u0173 kaip \u201eChatGPT\u201c, transformacin\u012f potencial\u0105 \u0161vietime. \u0160ios \u012f\u017evalgos pabr\u0117\u017eia, kad generatyvinio dirbtinio intelekto \u0161vietimui skirt\u0173 iniciatyv\u0173 srityje svarbu:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Mokymo programos k\u016brimas<\/strong>Kurs\u0173, kuriuose b\u016bt\u0173 naudojamos dirbtinio intelekto priemon\u0117s, k\u016brimas siekiant pagerinti mokymosi rezultatus.<\/li>\n\n\n\n<li><strong>Mokytoj\u0173 rengimas<\/strong>Suteikti pedagogams \u012fg\u016bd\u017ei\u0173, kaip veiksmingai integruoti dirbtin\u012f intelekt\u0105 \u012f savo mokymo strategijas.<\/li>\n\n\n\n<li><strong>Politikos formavimas<\/strong>Nustatyti gaires, kurios skatint\u0173 eti\u0161k\u0105 ir veiksming\u0105 dirbtinio intelekto naudojim\u0105 \u0161vietime.<\/li>\n<\/ul>\n\n\n\n<p>\u012egyvendindamos \u0161ias strategijas, \u0161vietimo \u012fstaigos gali pasinaudoti generatyvinio dirbtinio intelekto teikiama nauda, kad paskatint\u0173 geresnius mokini\u0173 rezultatus, \u012fsitraukim\u0105 ir kritin\u012f m\u0105stym\u0105.<\/p>\n\n\n\n<p><em>I\u0161samesn\u012f tyrim\u0105 rasite pilname straipsnyje: <a href=\"https:\/\/www.nature.com\/articles\/s41599-025-04787-y\" target=\"_blank\" rel=\"noopener\">https:\/\/www.nature.com\/articles\/s41599-025-04787-y<\/a><\/em><\/p>","protected":false},"excerpt":{"rendered":"<p>Neseniai \u017eurnale \u201eHumanities and Social Sciences Communications\u201c paskelbtoje metaanaliz\u0117je pateikiami \u012ftikinami \u012frodymai apie \u201eChatGPT\u201c poveik\u012f \u0161vietimo aplinkoje. I\u0161analizav\u0119 51 tyrim\u0105, atlikt\u0105 nuo 2022 m. lapkri\u010dio iki 2025 m. vasario m\u0117n., tyr\u0117jai Jin Wang ir Wenxiang Fan nustat\u0117, kad \u201eChatGPT\u201c reik\u0161mingai pagerina mokini\u0173 akademinius rezultatus, mokymosi suvokim\u0105 ir auk\u0161tesnio lygio m\u0105stymo \u012fg\u016bd\u017eius. Svarbiausi rezultatai. Akademiniai rezultatai...<\/p>","protected":false},"author":2,"featured_media":3767,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[12],"tags":[],"class_list":["post-3765","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-generative-ai-insights"],"acf":[],"taxonomy_info":{"category":[{"value":12,"label":"Generative AI Insights"}]},"featured_image_src_large":["https:\/\/genaisa.eu\/wp-content\/uploads\/2025\/05\/ChatGPT-Image-May-13-2025-09_22_52-AM.png",1024,683,false],"author_info":{"display_name":"Nikolay Tsolev (RCCI)","author_link":"https:\/\/genaisa.eu\/lt\/author\/ntsolev\/"},"comment_info":0,"category_info":[{"term_id":12,"name":"Generative AI Insights","slug":"generative-ai-insights","term_group":0,"term_taxonomy_id":12,"taxonomy":"category","description":"Articles providing tips, trends, and knowledge on generative AI, its applications, and ethical considerations.","parent":0,"count":11,"filter":"raw","cat_ID":12,"category_count":11,"category_description":"Articles providing tips, trends, and knowledge on generative AI, its applications, and ethical considerations.","cat_name":"Generative AI Insights","category_nicename":"generative-ai-insights","category_parent":0}],"tag_info":false,"_links":{"self":[{"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/posts\/3765","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/comments?post=3765"}],"version-history":[{"count":0,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/posts\/3765\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/media\/3767"}],"wp:attachment":[{"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/media?parent=3765"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/categories?post=3765"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/tags?post=3765"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}