<?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%">Branko Anđić</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">ARTIFICIAL INTELLIGENCE AND DEEPFAKE LEARNING IN HIGHER 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%">deepfake learning</style></keyword><keyword><style  face="normal" font="default" size="100%">higher education</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2025</style></year><pub-dates><date><style  face="normal" font="default" size="100%">February/2025</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://oaji.net/articles/2023/987-1740920869.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">24</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%">Higher education appears to be undergoing the most significant transformations due to the integration of artificial intelligence into teaching, learning, feedback provision, assessment, writing, and the growing role of AI in student research. Several aspects of AI in education have already been studied, such as institutional adoption policies and guidelines (Jin et al., 2025), Intelligent Tutoring Systems, and Automated Assessment and Feedback (Ramadhan et al., 2024). On the other hand, certain topics, such as deepfakes and their consequences for learning, remain underexplored. Deepfakes refer to the use of AI to create media—such as photos, audio, and video content—that appears authentic but is, in reality, artificially generated. </style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><work-type><style face="normal" font="default" size="100%">Editorial</style></work-type><section><style face="normal" font="default" size="100%">4-6</style></section></record></records></xml>