AI-Based Learning Ecosystem: Health Education Innovation in the Digital Era
Contributors
Adi Bayu Martopo
Abdi Malika Khairul Asa
Irfandi Abdillah
Nafis Irfany Sofyan
Djean Nauval Febrian
Suciana Wijirahayu
Keywords
Proceeding
Track
General Track
Abstract
Artificial intelligence is becoming increasingly sophisticated and developing rapidly in this digital age. Many organizations and public services are utilizing artificial intelligence, including in the health sector. However, many have not yet implemented artificial intelligence systems and still rely on manual methods. The main objective of this study is to evaluate the current state of artificial intelligence (AI) training and the use of AI tools to improve the learning experience in health education. A systematic review using journal references and articles and selection criteria, as well as synthesis analysis and thematic analysis, focused on the development of health education using artificial intelligence. This systematic review suggests that integrating artificial intelligence (AI) training into health education curricula is recommended. A systematic review exploring the current state of artificial intelligence (AI) education in health education. Since AI curricula have not been standardized and competencies have not been defined, a framework for specialized AI training in health education is proposed.