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Educational Recommender Systems: An Overview and Guidelines for Further Research and Development

Gordan Đurović orcid id ; University of Rijeka, Faculty of Humanities and Social
Martina Holenko Dlab orcid id ; University of Rijeka, Department of Informatics
Nataša Hoić-Božić orcid id ; University of Rijeka, Department of Informatics

Puni tekst: hrvatski pdf 267 Kb

str. 531-560

preuzimanja: 282


Puni tekst: engleski pdf 267 Kb

str. 531-560

preuzimanja: 419



Educational Recommender Systems (ERS) are increasingly used as tools to help students and teachers during the implementation of the learning process. The main difference between ERS and their commercial counterparts is in the pedagogical principles appropriate for the learning and teaching process. The differences in the educational methods used in a variety of educational situations, and their dependence on the field of study, set initial guidelines for ERS design. This paper reviews the evolution of ERS up to the currently achieved level of development and presents the basic techniques used in ERS design and the common problems they encounter in their work. Examples of classification of different ERS, according to their specific characteristics and basic approaches in their work, are presented. Based on this analysis, along with the training and upgrading of the existing algorithms, five specific areas in which future research and development can be expected are defined: construction of universal ERS, ERS intended primarily for teachers, ERS that links student achievements across different courses, ERS which take into account physical distance between students and use of ERS to motivate students to work continuously.

Ključne riječi

educational environment, e-learning, learning outcomes, Web 2.0 tools

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Podaci na drugim jezicima: hrvatski

Posjeta: 1.423 *