Role of embedded systems in medical students learning customization

DOI: 10.5176/2251-1652_RTES18

Authors: Mohamed F. AlAjmi, Shakir Khan

Abstract:

In the conventional approach for medical students’ training observation and decision making skills, a teacher need to guide tens or more students in the learning environment to observe, analyse and judge the real objects (patients). The learning process is inefficient and ineffective since it is difficult to take care of the need of individual students. E-learning environment might be a way to provide a personalized learning environment; however, the students can only browse the digitalized images or videos, and are for from the real world scenario. Recent progress in wireless and sensor technologies has lead to a new development of learning environments, called context-aware ubiquitous learning environment, which is able to sense the situation of learners and provide adaptive supports through wireless communication with embedded sensors. In such a learning environment, individual students are equipped with a mobile device that interact with the sensors embedded in the surrounding objects and acts as a personalized tutor to guide them to practice target skills in the real world. As context-aware ubiquitous learning is a brand new scenario for training observation and decision making skills, it is important to study what kind of learning activities can be conducted in such a learning scenario as well as its effectiveness in education.