学习资源智能推送的满意度调查研究

Research on satisfaction survey of learning resource intelligent pushing

研究了人工智能技术在学习资源智能推送的应用现状和未来需求。采用问卷调查的形式,对不同专业的学习者进行调查,并采用SPSS17.0对数据进行分析。研究发现,基于人工智能技术的学习资源的推送有80%的学习者认为比较符合自身需求,只有8%的学习者认为完全符合自身需求。因此,在改善学习资源智能推送的满意度上,可以对深度学习技术进行优化,并以需求为导向个性化地推送学习资源。

In order to understand the application status and future needs of artificial intelligence technology in learning resource intelligent push, this paper uses questionnaires to investigate learners of different professions and analyzes the data with SPSS17.0. The research finds that using artificial intelligence technology to push learning resources, 80% of the learners think that it is basically in line with their own needs, and only 8% of the learners think that it is completely in line with their own needs. Therefore, to improve the satisfaction of intelligent push of learning resources, deep learning technology can be optimized, and the learning resources should be demand-oriented personalized pushed.