Intelligent technologies for automatic interpretation of interactions between apprentice and virtual learning environment
International Journal of Development Research
Intelligent technologies for automatic interpretation of interactions between apprentice and virtual learning environment
Received 20th June, 2018; Received in revised form 17th July, 2018; Accepted 24th August, 2018; Published online 29th September, 2018
Copyright © 2018, Nelson Missaglia et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Nowadays there has been a significant increase in the use of Information Technologies (IT) in education, especially in distance education (DE), in which the use of Virtual Learning Environments (VLE) is very common. However, in such environments it is difficult the teacher to observe the state of attention as well as the satisfaction of an apprentice with respect to the content presented to him, unlike what occurs in face-to-face teaching.In view of this, many researchers have invested in the development ofintelligent technologies that can help in this task. In this context, the purpose of this paper is to present, based on a literature review, a discussion about the computational technologies developed to enable the automatic interpretation of the interactions between apprentice and VLE, presenting the possibilities of application, as well as necessary requirements for a VLE to employ such technologies.
