DIGITAL LEARNING WITH ARTIFICIAL INTELLIGENCE (AI): THE CORRELATION OF AI TO STUDENT LEARNING MOTIVATION

Abstract

The use of Artificial Intelligence (AI) in the context of digital learning has become a trend in modern education. This study aims to illustrate the implications of using AI on student learning motivation. Student learning motivation is a key factor in improving academic achievement and self-development. By utilizing AI technology in the learning process, we can identify the role of AI in increasing student learning motivation. Using combined methods (qualitative and quantitative), this study involved surveys (questionnaires) and analysis of data from various relevant literature sources. The results showed that AI can contribute positively to student learning motivation in several ways. First, AI can provide personalized feedback that helps students understand their progress better. Second, AI can design learning experiences tailored to individual learning styles, thereby increasing student interest and engagement in learning. Third, AI can identify students' learning difficulties and provide additional assistance in real-time, thereby reducing students' frustration and increasing their motivation to overcome challenges. However, the study also identified several challenges that need to be addressed in the use of AI in digital learning. One of them is the issue of privacy and security of student data that must be carefully managed. In addition, the development and implementation of AI technology in an educational context requires significant investment in teacher training and technology infrastructure. Thus, the study highlights the importance of wisely integrating AI in education and emphasizes the need for attention to ethical and practical aspects. Keywords: Artificial intelligence; digital learning; educational technology