Open AccessPersonalization of Teaching in E-learning Systems
Author(s) -
Boris Ribarić,
Zoran Ž. Avramović
Publication year - 2020
Publication title -
journal of information technology and applications
Language(s) - English
Resource type - Journals
eISSN - 2233-0194
pISSN - 2232-9625
DOI - 10.7251/jit2002120r
Subject(s) - personalization , curriculum , personalized learning , class (philosophy) , perception , personality psychology , mathematics education , psychology , teaching method , computer science , pedagogy , cooperative learning , personality , open learning , artificial intelligence , world wide web , social psychology , neuroscience
Personalized teaching offers students the opportunity to study independently, with a focus towards fostering and developing their research traits, to intensively develop students’ abilities and competencies. Traditional teaching is a common mode of education through which tutors use the same teaching method, regardless of the differences and complex personalities of students in a single class or group. Such an approach to teaching has the effect of slowing down the progression of talented students on one hand while making it harder for less successful students to follow classes on the other. The consequences of this approach to teaching are a rapid loss of learning motivation and perception of classes and learning as unpleasant obligations. Contemporary e-learning systems offer personalized learning, by tailoring it to the needs and unique traits of each student. Usage of neural networks in data processing for personalized learning will ensure the formation of adequate classes, full understanding, and adoption of the material prescribed by the curriculum, compliance with the general curriculum, and constant insight into the students’ progress.