Abstract
Distance, e-education supported by technological development have enhanced educa- tional processes by combining achievements from various scientific fields. This techno-educational enhancement has happened within the last decade. Virtual learning has grown in popularity as a new way of learning that gives preference to learn in convenient time and places, using specially prepared learning materials. The progression of technological developments implies the rise of user demands. It also aspires to look for flexible, but qualitative, training and learning ways. One of the outcomes is adaptive and intelligent learning environments that show to become a common tool used for virtual learning. This paper focuses on the key feature elements of adaptive learning environments (ALE), also researching about intelligent agents and their behaviour in ALEs. The method to provide individual learning syllabus according student knowledge in rational way is proposed. It is based on latent semantic indexing algorithm and is featured with an ability to update syllabus according individual learning outcomes of the student. This is yet another tool in a teacher's tool box. The description of results obtained during the exploration of proposed method is presented as well.
Highlights
Selected learning syllabus is one of key features to successful learning
This paper focuses on the key feature elements of adaptive learning environments (ALE), researching about intelligent agents and their behaviour in ALEs
This article deals with analysis of adaptive learning systems which use agents as intelligent function, and possible solutions for learning syllabus provision, the method that is based on latent semantic indexing algorithm that enables to provide learning syllabus in rational way, according to student knowledge and got outcomes from self-testing, allows for the teacher to update the curriculum according to students’ learning outcomes is provided
Summary
Selected learning syllabus is one of key features to successful learning. It is present in all forms of education, including e-forms. Teaching and learning requires methods and forms of learning syllabus provision which would be as much as possible various and corresponding to different learners’ style and knowledge level, in purpose to relieve teaching/learning processes it is important to rationalize the provision of e-learning syllabus. This article deals with analysis of adaptive learning systems which use agents as intelligent function, and possible solutions for learning syllabus provision, the method that is based on latent semantic indexing algorithm that enables to provide learning syllabus in rational way, according to student knowledge and got outcomes from self-testing, allows for the teacher to update the curriculum according to students’ learning outcomes is provided
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