【目的/意義】在互聯網環境下,大數據、云計算己經成為當今社會關注的熱點問題,其核心技術發展逐漸成熟。大數據為我們提供了豐富的網絡資源,它具有很大的經濟、社會價值,已經滲透到各種領域并且成為重要的生產因素,尤其在教育領域的應用備受人們關注。【方法/過程】本文首先通過網絡自主學習獲得知識,然后闡述網絡自主學習的必要性,采用實證調查的方式了解目前對網絡自主學習的認識、使用情況。在分析現有的網絡學習模型缺乏智能性、自適應性的基礎上,提出一種改進的實體模型,它無論在個人學習還是教學中具有趣味性和人性化色彩,具有交互協作能力,能自適應的生成教學策略。【結果/結論】通過使用調查問卷等方式進行實證分析,結論是大數據環境下自主學習能夠提高學生的學習效率和綜合實用能力,通過實證分析,實驗證明該模式確實能提高學生的學習效率和綜合實用能力。

【Purpose/significance】In the Internet environment, big data and cloud computing have become a hot topic of concern in today’s society, and its core technology is gradually maturing.The Internet is changing people’s learning, work and life style more and more profoundly, even affecting the whole process of society.Big data provides us with rich network resources, it has great economic and social value, has penetrated into various fields and become an important production factor, especially in the application of people’s attention in the field of education.【Method/process】Through the network autonomous learning,this article gets knowledge firstly, then expounds the necessity of network autonomous learning, uses empirical surveys to obtain the current understanding of network autonomous learning and using.On the analysis of the lack of intelligence and self-adaptability of existing network, an improved physical model are proposed, it has the interactive cooperation ability both in individual learning and teaching with fun and humanized color, it also can generate the teaching strategy of adaptive.【Result/conclusion】The big data environment of autonomous learning can improve students learning efficiency and comprehensive practical ability, the experiment proved that the model can improve students’ learning efficiency and comprehensive practical ability.