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作 者:张宝华 ZHANG Baohua(Shuozhou Normal College,Shuozhou Shanxi 036000)
出 处:《软件》2024年第12期137-139,共3页Software
摘 要:本文旨在探讨自然语言处理(NLP)技术如何赋能教育智能发展,探讨NPL技术在教育领域的应用现状以及其对未来智能教育发展的影响。通过分析NLP技术的关键发展趋势以及其在教育中的应用,预测其对教育领域的潜在影响。自然语言处理技术在多个教育应用场景中被广泛应用,其在教育领域的融合取得了诸多成果。NLP技术的引入为自然科学的教育提供了智能化、个性化的解决方案,未来的个性化教育将主要建立在师生充分交互的大数据获取基础上,通过对这些教育数据的统计分析,实现学生个性化评估反馈、以学定教、自动化辅导与答疑,并智能化推荐适合学生学习的自然科学内容,以提升学习效率与质量。This article aims to explore how natural language processing(NLP)technology empowers the development of educational intelligence,investigate the current application status of NPL technology in the field of education,and its impact on the future development of intelligent education.By analyzing the key development trends of NLP technology and its applications in education,predict its potential impact on the field of education.Natural language processing technology has been widely applied in multiple educational application scenarios,and its integration in the field of education has achieved many results.The introduction of NLP technology provides intelligent and personalized solutions for natural science education.In the future,personalized education will mainly be based on the acquisition of big data through full interaction between teachers and students.Through statistical analysis of these educational data,personalized evaluation feedback,customized teaching,automated tutoring and Q&A for students can be achieved,and intelligent recommendations of natural science content suitable for students'learning can be made to improve learning efficiency and quality.
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