Modelling Learner's Personality Profile Through Analysis of Annotation Digital Traces in Learning Environment

被引：5

作者：

Omheni, Nizar ^{[1
]}

Kalboussi, Anis ^{[1
]}

Mazhoud, Omar ^{[1
]}

HadjKacem, Ahmed ^{[2
]}

机构：

[1] Univ Kairouan, Higher Inst Comp & Management, Kairouan, Tunisia

[2] Univ Sfax, Fac Econ & Management, Sfax, Tunisia

来源：

15TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT 2015) | 2015年

关键词：

Learner's profile; annotations; personality traits; personality computing; learning personalization;

D O I：

10.1109/ICALT.2015.76

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The researchers in education are interested to observing and modeling the learner, and adapting their learning experience accordingly. When learners read and interact actively with their reading materials, they do unselfconscious activities like annotation practices which can be key feature to their personalities. Annotation practices require the reader to be active with the document, to think critically and to make specific annotations in the margins of the text. In this paper we propose modeling learner's personality by referring to their annotations. The experiments show the significant role of annotation activity to reflect certain learner' personality traits.

引用

页码：66 / 67

页数：2