在线适应性学习:文献综述

Jallal Talaghzi, Abdellah Bennane, M. Himmi, M. Bellafkih, Aziza Benomar
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引用次数: 37

摘要

近年来,大多数电子学习平台都包含了适合学习者的学习材料,以便为他们提供个性化的学习内容的工具。世界各地的研究人员都在研究这个话题,以找到解决方案,帮助教师创建适合每个学习者技能、能力和偏好的教学内容和学习对象。本研究的目的是回顾电子学习平台中适应性学习的著作和出版物。更具体地说,我们讨论了在线学习平台中与自适应对象、自适应标准、自适应参数和自适应方法/算法有关的一系列问题。此外,这项研究将使我们能够从统计上定义在线适应性学习中有前途的研究领域,并对适应标准的使用提出一个愿景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Online Adaptive Learning: A Review of Literature
In recent years, most e-learning platforms include tools that adapt learning materials to learners in order to offer them personalized learning content. Researchers around the world have worked on this topic to find solutions that help teachers to create pedagogical content and learning object that are tailored to each learner's skills, abilities, and preferences. The purpose of this study is to review the literature of works and publications on adaptive learning in E-learning platforms. More specifically, we have dealt with a set of questions relating to the adapted object, the adaptation criteria, the adaptation parameters and the adaptation methods / algorithms in online learning platforms. moreover, this study will allow us to statistically define the promising research areas in online adaptive learning and to present a vision on the use of adaptation criteria.
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