Automatic Learning Path Design: development and implementation

This paper will describe the development and implementation of an Adaptive System Prototype with the aim to manage an automated and customized learning experience. After the first in-depth study on the usefulness and effectiveness of personalized learning approach, the research team intended to fill the gap between the theory of personalized learning environments and its practice trough the development of an adaptive learning plugin implemented on mostly used, Open Source, Learning Management Systems. The developed technology, follow the goal to identify any end user of the LMS, create a customized user profile with their starting skills and learning preferences in order to automatically tailor a personalized learning path. The main purpose is to maximize student’s performance. This paper describes the main steps for the implementation of the prototype of this Adaptive Learning System named iO3 (intelligent Open Cube), as it will be an intelligent, Open Source, Open Knowledge, Open Plugin system.