基于学习行为和内容的网络学习论坛分析模型  

An Analysis Model of Online Learning Forum Based on Learning Behavior and Content

作　　者：胡庆春[1] 蔡建华[2] HU Qingchun;CAI Jianhua(School of Information Science ＆ Engineering,East China University of Science and Technology,Shanghai 200236,China;Computer Center,East China Normal University,Shanghai 200062,China)

机构地区：[1]华东理工大学信息学院,上海200236 [2]华东师范大学计算中心,上海200062

出　　处：《软件工程》2018年第11期10-13,共4页Software Engineering

摘　　要：在线学习论坛中学习者之间的互动和文本内容可以作为评价学习的重要因素。本文提出了一个基于学习行为和内容的二维分析模型,分析在线学习论坛。该模型通过分析同伴之间学习行为的互动,可视化呈现问题讨论的热点,探究学习行为和内容是如何促进知识的获取。同时该模型也有助于分析并挖掘学习的困难并通过可视化的词云反馈给学习者。此研究可以为设计自动应答的实时反馈系统和自适应学习系统的体系结构提供实践的建议。The interaction between learners and text contents in online learning forums can be used as an important factor in evaluating learning.This paper proposes a two-dimensional analysis model based on learning behavior and content to analyze online learning forums.By analyzing the interaction of the learning behaviors between peers,the model visualizes the focus of discussion and explores how learning behaviors and content promote knowledge acquisition.At the same time,the model also helps analyze and mine learning diffculties and offer feedback to learners through word clouds.This research provides practical suggestions for designing the real-time feedback system of automatic response and the architecture of the adaptive learning system.

关 键 词：网络学习 在线论坛 学习分析 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]