<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Özgün Arda Kuş</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">ARTIFICIAL INTELLIGENCE TOOLS, EDUCATIONAL APPROACHES, AND LEARNING OUTCOMES IN ENVIRONMENTAL EDUCATION</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Baltic Science Education</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Artificial Intelligence</style></keyword><keyword><style  face="normal" font="default" size="100%">ChatGPT</style></keyword><keyword><style  face="normal" font="default" size="100%">environmental education</style></keyword><keyword><style  face="normal" font="default" size="100%">knowledge-action gap</style></keyword><keyword><style  face="normal" font="default" size="100%">pedagogical approaches</style></keyword><keyword><style  face="normal" font="default" size="100%">scoping review</style></keyword><keyword><style  face="normal" font="default" size="100%">sustainability education</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2026</style></year><pub-dates><date><style  face="normal" font="default" size="100%">April/2026</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://journals.indexcopernicus.com/search/article?articleId=4863023</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">25</style></volume><pages><style face="normal" font="default" size="100%">Continuous</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Artificial intelligence (AI) technologies are increasingly being used in environmental education, but the empirical evidence base in this field remains fragmented. The aim of this study was to systematically map empirical research on the use of AI in environmental education between 2022 and 2025. The study employed a scoping review design based on the PRISMA-ScR protocol. A total of 419 records retrieved from the Scopus and Web of Science databases were screened, and 16 studies met the inclusion criteria. Data were extracted using a structured coding framework based on four research questions and synthesized through thematic analysis. The findings indicated that large language models, particularly ChatGPT, are the most frequently used AI tools. Nine studies aimed to change attitudes or behaviors. Pedagogical approaches included content creation, personalized learning, narrative-based empathy development, and gamification. Only one study did not specify a clear theoretical framework. Standardized effect sizes were reported in only four studies. The geographical distribution was concentrated in East Asia. One study included a delayed post-test, leaving the long-term sustainability of the reported effects largely uncertain. Longitudinal designs, comparative tool evaluations, and culturally embedded AI designs from underrepresented regions have been identified as priority research needs for the field's advancement.</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><work-type><style face="normal" font="default" size="100%">Research article </style></work-type><section><style face="normal" font="default" size="100%">298-317</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Muhammad Aizri Fadillah</style></author><author><style face="normal" font="default" size="100%">Usmeldi Usmeldi</style></author><author><style face="normal" font="default" size="100%">Asrizal Asrizal</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">THE ROLE OF CHATGPT AND HIGHER-ORDER THINKING SKILLS AS PREDICTORS OF PHYSICS INQUIRY</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Baltic Science Education</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">AI in education</style></keyword><keyword><style  face="normal" font="default" size="100%">ChatGPT</style></keyword><keyword><style  face="normal" font="default" size="100%">correlation</style></keyword><keyword><style  face="normal" font="default" size="100%">higher-order thinking skills</style></keyword><keyword><style  face="normal" font="default" size="100%">multiple linear regression</style></keyword><keyword><style  face="normal" font="default" size="100%">physics inquiry</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2024</style></year><pub-dates><date><style  face="normal" font="default" size="100%">December/2024</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://oaji.net/articles/2023/987-1734897331.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">23</style></volume><pages><style face="normal" font="default" size="100%">Continuous</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The role of ChatGPT and higher-order thinking skills (HOTS) as predictors of physics inquiry among upper-secondary students has yet to be widely explored. Therefore, this research aimed to examine upper-secondary students' role in ChatGPT (convenience and quality (CQ), motivation and engagement (ME), and accuracy and trust (AT)) and HOTS as predictors of physics inquiry. Data were collected from 334 upper-secondary students in Indonesia through online questionnaires and analyzed with SPSS software using correlation and multiple linear regression. The results showed that CQ had the strongest correlation with HOTS, with significant predictors being response speed, concept linkage, and explanation quality. The ME dimension was also significantly correlated with HOTS, with increased motivation to learn and enjoyment in learning as key predictors. Lastly, the AT dimension significantly correlated with HOTS, where the accuracy of information and students' trust in it were essential predictors. These findings indicate that ChatGPT has the potential to enhance inquiry-based learning in physics by effectively supporting the development of HOTS.           </style></abstract><issue><style face="normal" font="default" size="100%">6</style></issue><work-type><style face="normal" font="default" size="100%">Original article</style></work-type><section><style face="normal" font="default" size="100%">1178-1192</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Boris Aberšek</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A HISTORICAL UNDERSTANDING OF HOW SCIENCE WORKS </style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Baltic Science Education</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">ChatGPT</style></keyword><keyword><style  face="normal" font="default" size="100%">Natural Sciences</style></keyword><keyword><style  face="normal" font="default" size="100%">scientific advice</style></keyword><keyword><style  face="normal" font="default" size="100%">supernatural explanations</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2023</style></year><pub-dates><date><style  face="normal" font="default" size="100%">December/2023</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://oaji.net/articles/2023/987-1702728485.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">22</style></volume><pages><style face="normal" font="default" size="100%">Continuous</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">From Socrates onwards, the Greek cultural life began to take shape, and the whole nature of philosophical and scientific thought also began to change. From the natural sciences, interest shifted towards man and his societal role. Starting with the Sophists, a critical look at the surviving myths became pivotal at the time. Even if humans are still unable to get answers to all the riddles of nature, for which, among other things, mythology offers supernatural explanations, we (as human beings) do realize that we are only human. And humans need to learn to live together in different forms of social life. The Sophists were interested in man and his place in society. Socrates used conversations and tried to help his interlocutors generate valid reasoning and knowledge. According to him, proper knowledge must arise inside the individual, which is today's constructivist approach; no one can instill knowledge in the individual from the outside. Only knowledge that comes from within is true understanding. Socrates also wanted to find a solid basis for human knowledge. He believed he had found it in human reason. </style></abstract><issue><style face="normal" font="default" size="100%">6</style></issue><work-type><style face="normal" font="default" size="100%">Editorial</style></work-type><section><style face="normal" font="default" size="100%">952-955</style></section></record></records></xml>