Students require hands on learning which encourages them to actively think about information, make choices, and execute learning skills for defined physical tasks. Medical imaging education is a multifaceted integration of anatomy, science, and technical knowledge. Obtaining expertise is directly linked to the time devoted to practise. This time is difficult to achieve in today’s environment. Human models are expensive and have limited availability, inanimate models are reproducible, readily available, and more cost effective than human models however their efficiency in training is limited;
Practice within a virtual simulation suite provides unlimited access to motor training, together with instant accurate feedback to both the tutor and student. When training on live models, the student is evaluated by a tutor on different aspects of their technique. This can be subjective and difficult to consistently repeat between students and even on the same student on different dates. Conversely, this virtual teaching environment has the ability to collect a wide variety of data during each training session (e.g., precision, completion time, frequency or magnitude of errors, etc.). Because these measures are objective, training can become more consistent across students.
These technologies have been shown to augment the learning of complex tasks, virtual education will likely capture the attention of students into the future.