Recommender system to research students' study efficiency

被引：3

作者：

Kaklauskas, Arturas ^{[1
]}

Zavadskas, Edmundas Kazimieras ^{[1
]}

Trinkunas, Vaidotas ^{[1
]}

Tupenaite, Laura ^{[1
]}

Cerkauskas, Justas ^{[1
]}

Kazokaitis, Paulius ^{[1
]}

机构：

[1] Vilnius Gediminas Tech Univ, LT-10223 Vilnius, Lithuania

来源：

WORLD CONFERENCE ON DESIGN, ARTS AND EDUCATION (DAE-2012) | 2012年 / 51卷

关键词：

web-based; recommender system; physiological; psychological and behavioral techniques; emotional state; learning productivity; multiple criteria analysis methods; historical information; recommendations; MENTAL STRESS;

D O I：

10.1016/j.sbspro.2012.08.273

中图分类号：

J [艺术];

学科分类号：

13 ; 1301 ;

摘要：

The Recommender System to Research Students' Study Efficiency (Recommender System hereafter) developed by these authors determines a student's learning productivity based on that same student's physiological, psychological and behavioral/movement parameters. It then generates thousands of alternative learning productivity recommendations based on the compiled Maslow's Pyramid Tables and selects out the most rational of these for the student's specific situation. The Recommender System provides a student with a real-time assessment of his/her own learning productivity and emotional state. This article presents the Recommender System, a case study and a scenario used to test and validate the developed Recommender System and its composite parts to demonstrate its validity, efficiency and usefulness. (C) 2012 Published by Elsevier Ltd. Selection and/or peer review under responsibility of Prof. Ayse Cakir Ilhan

引用

页码：980 / 984

页数：5

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