Personalization and adaptation in e-learning systems

Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanoviä, Zoran Budimac, Lakhmi C. Jain

Research output: A Conference proceeding or a Chapter in BookChapter

12 Citations (Scopus)

Abstract

Personalization is a feature that occurs separately within each system that supports some kind of users’ interactions with the system. Generally speaking term “Personalization” means the process of deciding what the highest value of an individual is if (s)he has a set of possible choices. These choices can range from a customized home page “look and feel” to product recommendations or from banner advertisements to news content. In this monograph we are interested in personalization in educational settings. The topic of personalization is strictly related to the shift from a teacher-centred perspective of teaching to a learner-centred, competency-oriented one. Two main approaches to the personalization can be distinguished: user-profile based personalization and rules-based personalization. In the first case this is the process of making decisions based upon stored user profile information or predefined group membership. In the second case this is the process of making decisions based on pre-defined business rules as they apply to a segmentation of users. This chapter presents the most popular adaptation forms of educational materials to learners.

Original languageEnglish
Title of host publicationIntelligent Systems Reference Library
EditorsJanusz Kacprzyk, Lakhmi Jain
PublisherSpringer
Pages21-25
Number of pages5
Volume122
ISBN (Print)9783319411613
DOIs
Publication statusPublished - 20 Jul 2016

Publication series

NameIntelligent Systems Reference Library
Volume112
ISSN (Print)1868-4394
ISSN (Electronic)1868-4408

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    Klašnja-Milićević, A., Vesin, B., Ivanoviä, M., Budimac, Z., & Jain, L. C. (2016). Personalization and adaptation in e-learning systems. In J. Kacprzyk, & L. Jain (Eds.), Intelligent Systems Reference Library (Vol. 122, pp. 21-25). (Intelligent Systems Reference Library; Vol. 112). Springer. https://doi.org/10.1007/978-3-319-41163-7_2