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IJE : Interdisciplinary Journal of EducationIJE : Interdisciplinary Journal of Education

The use of Artificial Intelligence (AI) in Digital Business Innovation student learning is an increasingly relevant issue in the context of digital education. This Journal Article outlines the core issues by explaining the challenges and benefits of AI in education. The purpose of this journal article is to provide a comprehensive understanding of the role of AI in improving digital business innovation student learning in Indonesia. The research method used is a literature review, which includes an analysis of various sources and perspectives related to the use of AI in higher education. The data used in this article includes information from various literature sources, including research findings, scientific articles, and news related to the implementation of AI in education. Examples of AI applications, such as chatbots for academic guidance, online learning systems, and automated assessments, are obtained from these sources. The results of the data analysis indicate that the use of AI in improving learning motivation for Digital Business Innovation students has significant potential to improve the quality of learning. However, attention must be paid to ethical challenges, the risk of dependency, and the important role of human interaction. Solutions such as AI ethics education, strict multi-party regulation, and the integration of AI with human interaction are integral to the conclusions drawn in this journal article.

The study concludes that AI has the potential to revolutionize education and empower students to reach their full potential.Integrating AI into digital business innovation education can help bridge the gap between traditional teaching methods and the needs of modern learners, ultimately motivating students to become digital entrepreneurs.With careful consideration and ethical oversight, AI can be used responsibly and effectively to enhance the learning experience for all students.

Future research should investigate the long-term effects of AI-driven personalized learning on students critical thinking and problem-solving skills, moving beyond simply measuring engagement and academic achievement. Furthermore, a comparative study examining the effectiveness of different AI tools and pedagogical approaches in digital business education is needed to identify best practices and optimize implementation strategies. Finally, research should explore the development of robust ethical frameworks and guidelines for the responsible use of AI in education, specifically addressing issues of data privacy, algorithmic bias, and the potential for over-reliance on technology, ensuring that AI serves as a tool to augment, rather than replace, human interaction and critical pedagogical practices.

  1. Social Constructivism: A New Paradigm in Teaching and Learning Environment | PERENNIAL JOURNAL OF HISTORY.... pjh.wum.edu.pk/index.php/ojs/article/view/86Social Constructivism A New Paradigm in Teaching and Learning Environment PERENNIAL JOURNAL OF HISTORY pjh wum edu pk index php ojs article view 86
  2. An Evidence-Based Model of Work Engagement - Arnold B. Bakker, 2011. evidence based model work engagement... doi.org/10.1177/0963721411414534An Evidence Based Model of Work Engagement Arnold B Bakker 2011 evidence based model work engagement doi 10 1177 0963721411414534
  3. Srinivas University Journals. srinivas university journals journal published publication research major... doi.org/10.47992/ijcsbe.2581.6942.0321Srinivas University Journals srinivas university journals journal published publication research major doi 10 47992 ijcsbe 2581 6942 0321
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