Open AccessENHANCING EDUCATORS’ CREDIBILITY IN INTELLIGENT LEARNING ENVIRONMENTS
Author(s) -
Mario Mallia Milanes,
AUTHOR_ID,
Matthew Montebello
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.36315/2021end132
Subject(s) - credibility , software deployment , computer science , process (computing) , skepticism , rendering (computer graphics) , learning environment , virtual learning environment , virtual machine , human–computer interaction , multimedia , data science , knowledge management , artificial intelligence , software engineering , mathematics education , psychology , philosophy , epistemology , political science , law , operating system
The deployment and use of Artificially Intelligent tools and techniques has proved to be effective and convenient, rendering them highly popular and desirable within any application. The benefits that such smart services provide are increasingly becoming popular within virtual learning environments as educators and learners continue to revert to such online portals during the academic process of higher education programmes. However, numerous educators have been sceptical of the inferences made by the machine learning techniques that implicitly at the background of the learning environment are monitoring the learner and collecting data to optimize the educational process as well as the learning experience. In an effort to enhance such a credibility we present an intelligent learning environment that justifies its decisions and propositions through an explainable interface that tracks back its conclusions to reasonable and plausible justifications. In this paper we present our research work together with our experiences in developing and deploying such a ground-breaking concept.