A tutor training framework for radiographers: Basic concepts to effectively train future generations of professionals

Clinical practice is crucial for the professional development of radiographers. To effectively benefit from their training, students need guidance from well-trained and competent tutors. However, the literature lacks evidence of training programs specifically designed for radiographer tutors. This study aims to suggest a novel framework able to identify the key elements of a successful tutor training curriculum for radiographers.

Through a literature review on the topic of tutor training in the healthcare sector, a novel tutor training framework specifically for radiographers was developed. This model is structured into two main components: knowledge development and skill acquisition. The framework emphasizes four key topics: understanding the essence of tutoring; conducting briefing, debriefing, and providing feedback; addressing students' psychosocial challenges; conducting simulations and role plays. It concludes with a skill test.

The proposed curriculum highlights the importance of tutors understanding their roles and responsibilities, as well as the significance of providing feedback and conducting briefing activities. Noteworthy additions to this pioneering model include an in-depth examination of the psychosocial challenges faced by students during their training and the introduction of role-playing activities. These activities help tutors develop empathy and better understand the students' perspectives and needs, therefore optimizing the tutoring experience.

This framework outlines the fundamental principles that tutors should incorporate into their daily tutoring activities to maximize student learning and engagement. Emphasis is placed on understanding the psychological challenges faced by students, which can help tutors tailor their teaching to better meet students' needs.

The proposed framework wills to promote significant improvement in the clinical practice of future professionals through the optimization of tutors' competencies.