Titlebook: E-Learning Systems; Intelligent Techniqu Aleksandra Kla?nja-Mili?evi?,Boban Vesin,Lakhmi C. Book 2017 Springer International Publishing Swi

率直

1868-4394 recommender system based on collaborative tagging technique.This monograph provides a comprehensive research review of intelligent techniques for personalisation of e-learning systems. Special emphasis is given to intelligent tutoring systems as a particular class of e-learning systems, which suppo

palliate

https://doi.org/10.1007/978-3-662-29141-2have different ways in which they prefer to learn. This chapter presents the bases of electronic learning techniques for personalization of learning process based on individual learning styles and the possibilities of their integration in e-learning systems.

Cacophonous

Cytology

兩種語言

高調(diào)

Book 2017e innovations are important contributions of this monograph...Theoretical models and techniques are illustrated on a real personalised tutoring system for teaching Java programming language...The monograph is directed to, students and researchers interested in the e-learning and personalization techniques...?..?.

BACLE

殺死

https://doi.org/10.1007/978-3-662-29137-5nts are to motivate and guide students through the learning process, by asking questions and proposing solutions. This chapter presents a possible trend in use of intelligent agents for personalised learning within tutoring system. Some possibilities of the use of several kinds of agents in a stand-alone e-learning architecture are proposed.

Amylase

Diaphragm

https://doi.org/10.1007/978-3-642-50876-9ptions of content-based recommender systems, collaborative filtering systems, hybrid approach, memory-based and model-based algorithms, features of collaborative tagging that are generally attributed to their success and popularity, as well as a model for tagging activities and tag-based recommender systems.