Intelligent tutoring systems are among the most recent advances in educational technology, being recognized as powerful adaptive educational systems providing services and modules for personalized learning to students with varying backgrounds, abilities, behaviours and knowledge. Proposals are presented for construction of an Autonomous Intelligent and Adaptive E-learning System (AIAES) for education based on assignments, tasks and exercises for the improvement of information literacy.
COBISS.SI-ID: 23374856
Autonomous intelligent and adaptive e-learning systems (AIAES) are a new generation of learning environments that model and implement the individuality and personalization of the student in the learning process in order to support the learning-oriented approach in learning with technology. The main objective of the AIAES is to establish an intelligent e-learning environment providing advanced services for educational process, which is able to adapt based on student’s learning experience, learning styles, cognitive level, and personal preferences. The aim of this article is to present the core modules of the N-tier architecture of the AIAES along with a more detailed analysis of the services that individual modules need to implement.
COBISS.SI-ID: 20833814
The digital competence of science teachers can be described at the basic (teachers as citizens); general professional; and special professional levels. At the basic level typical competences include use of email, Internet browsers, Word processors, home multimedia; the general-professional level includes ICT usages common to all teachers, such as interactive boards. At the special-professional levels subject specific ICT applications are added, such as the use of data loggers, digital microscopy, subject specific software and virtual laboratory. Three levels of mastery of digital competence are proposed, at the basic (Remembering, Understanding), medium (Applying, Analyzing, Synthesizing) and expert (Evaluating, Creating).
COBISS.SI-ID: 23374600