期刊文献+

基于文本挖掘的MOOC学习者评价分析

Analysis of MOOC Learner Evaluation Based on Text Mining.
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摘要 基于MOOC学习越来越被学习者所采用,MOOC学习的学习者评价变得重要。阐述文本挖掘技术对MOOC学习学习者评价的主体、评价的依据、评价的结果,总结和反思评价的特点和存在的问题,提出一些改善的意见与措施。 MOOC based learning is more and more adopted by learners,and learner evaluation of MOOC learning becomes more and more important.This paper expounds the main body,basis and results of text mining technology for MOOC learners’evaluation,summarizes and reflects on the characteristics and existing problems of evaluation,and puts forward some suggestions and measures for improvement.
作者 吴连生 WU Liansheng(Jiangxi University of Finance and Economics,Jiangxi 330013,China)
机构地区 江西财经大学
出处 《电子技术(上海)》 2021年第3期106-107,共2页 Electronic Technology
关键词 教学实践 MOOC 文本挖掘 学习者评价 teaching practice MOOC text mining learner evaluation
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