Artificial Intelligence in Function of Multimedia Quality for Functional Learning

Abstrakt

Artificial intelligence (AI) is transforming the quality of multimedia content, enabling person-alized, interactive, and adaptive learning (AL). This paper explores how AI contributes to improving multimedia materials using methods such as user data analysis, speech synthesis, and image recog-nition. The focus is on functional learning (FL), where AI enhances student comprehension and engagement. The works of prominent researchers, including Mitchell, Goodfellow, and Russell, are analyzed. The results indicate that AI enhances accessibility, personalization, and efficiency of mul-timedia educational resources.
In addition, recent research 2020–2024 confirms that AI-supported multimedia significantly im-proves higher-order cognitive processes, problem-solving skills, and learning transfer, which are central components of FL (Zawacki-Richter, Marín, Bond, Gouverneur, 2020; Papamitsiou, Economides, 2021; Holmes, Tuomi, 2022; de Araujo, Dorça, Lima, Fernandes, 2023; Chen, Xie, Zou, 2024).