The increasing complexity of healthcare services and the diversification of patient needs require nurses to be equipped not only with clinical knowledge and technical skills, but also with effective communication, critical thinking, and self-directed learning competencies. Nurses continuously interact with multidisciplinary teams throughout the processes of planning, implementing, and evaluating patient care. Therefore, communication skills are among the fundamental determinants of patient safety and quality of care. However, traditional educational methods are largely based on passive learning and may be insufficient in developing students' professional communication and self-directed learning skills. This limitation can reduce students' learning motivation and negatively affect their ability to make independent decisions and communicate effectively in clinical practice. Digital technologies and artificial intelligence (AI)-supported applications provide opportunities to strengthen student-centered approaches in education. AI-supported systems offer personalized feedback, enabling targeted support according to students' individual learning needs. The flipped learning approach, on the other hand, is based on acquiring theoretical knowledge before class, while class time is devoted to practice, discussion, and problem-solving activities. This approach enhances students' active participation and supports the development of critical thinking and communication skills. AI-supported flipped learning combines technological opportunities with pedagogical strategies to create a more interactive and personalized learning experience. This method encourages students to take responsibility for their own learning and strengthens their self-directed learning skills. Nevertheless, studies examining the effects of this approach on learning motivation and self-directed learning in nursing education remain limited. Therefore, this study aims to evaluate the effects of professional communication skills training based on an AI-supported flipped learning approach on nursing students' learning motivation and self-directed learning levels.
Age range
18 Months
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Learning Motivation
Timeframe: Baseline (before the intervention) and immediately after the completion of the 6-week intervention