基于学习者行为分析的智能学习平台的设计

Design of Intelligent Learning Platform Based on Learner Behavior Analysis

近年来,随着计算机技术的飞速发展,网络学习平台不断涌现,但对学习者行为特征的关注较少。该文重点研究网络学习平台的智能化,即基于答题速度、答题正确率等因素跟踪、记录、分析学习者在学习期间的行为。平台以在线答题学习为基础功能,辅以错题收藏、人工帮助等功能,通过“PK练习”增强学习的趣味性,跟踪并记录用户学习行为数据,及时反馈学习者学习效果数据,进而预测并个性化地推荐下一阶段的学习任务。用户测试和研究结果表明,学习平台的运用对提高学习者学习效率具有良好的促进作用。

In recent years,with the rapid development of computer technology,online learning platforms continue to emerge,but less attention is paid to learners'behavior characteristics.This paper focuses on the intellectualization of online learning platform,that is,tracking,recording and analyzing learners'behaviors during learning based on the speed and accuracy of answers.The platform takes online answer learning as the basic function,supplemented by the wrong question collection,manual help and other functions,enhances the fun of learning through"PK practice",tracks and records the user learning behavior data,timely feedback the learning effect data,and then predicts and personalized recommendation of the next stage of learning tasks.The results of user test and research show that the application of learning platform has a good promotion effect on improving learners'learning efficiency.