Online learning has become increasingly important, having in mind the latest events, imposed isolation measures and closed schools and campuses. Consequently, teachers and students need to embrace digital tools and platforms, bridge the newly established physical gap between them, and consume education in various new ways. Although literature indicates that the development of intelligent techniques must be incorporated in e-learning systems to make them more effective, the need exists for research on how these techniques impact the whole process of online learning, and how they affect learners’ performance. This paper aims to provide comprehensive research on innovations in e-learning, and present a literature review of used intelligent techniques and explore their potential benefits. This research presents a categorization of intelligent techniques, and explores their roles in e-learning environments. By summarizing the state of the art in the area, the authors outline past research, highlight its gaps, and indicate important implications for practice. The goal is to understand better available intelligent techniques, their implementation and application in e-learning context, and their impact on improving learning in online education. Finally, the review concludes that AI-supported solutions not only can support learner and teacher, by recommending resources and grading submissions, but they can offer fully personalized learning experience.
E-learning as a difficult structure contains distance learning, teaching resources in many forms and shapes, group and individual learning procedures, as well as interactive and tuition work. In order to increase the use and efficiency of e-learning systems, it is necessary to consider the individualities of students and their learning styles. Based on data collected in various ways, research methods Felder-Silverman Index of Learning Style Questionary (ILS), using the Moodle LMS, based on the subjective valuation of teachers, as well as based on data from the corporate information system, the affinities of students are determined. Then, based on this information, an adaptation is made, a process that adjusts the work of the LMS based on the learning styles of the students. The major goals that can be achieved by dynamic adaptation the e-learning system are to improve the appearance and effectiveness of the course, support in finding information about the subject, more efficient search and placement of search results in terms of student’s interest, and rise students faithfulness to the educational institution.
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