| BP神经网络在远程教育学习者评价中的应用 |
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| 引用本文： | 姚 颖,王 菲.BP神经网络在远程教育学习者评价中的应用[J].教育技术导刊,2019,18(11):109-112. |
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| 作者姓名： | 姚 颖 王 菲 |
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| 作者单位： | 1. 济宁学院 教育系，山东 曲阜 273155,2. 武汉大学 信息管理学院，湖北 武汉 430072 |
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| 基金项目： | 山东省教育科学“十三五”规划项目（YC2017051） |
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| 摘 要： | 为解决传统网络课程中对学习者评价方式单一，无法全面体现学习者学习情况等问题，通过专家调查法和文献调研法，设计国内远程教育学习者评价指标，同时基于BP神经网络构建远程教育学习者评价模型，并通过实验验证了其在远程教育评价中的应用效果。研究结果表明评价结果可信度高，能够为远程教育学习者提供更为科学的评价方式。
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| 关 键 词： | 远程教育 BP神经网络 评价模型 学习者评价 |
| 收稿时间： | 2019-06-05 |
Application Research of BP Neural Network in Distance Education Learner Evaluation |
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| YAO Ying,WANG Fei.Application Research of BP Neural Network in Distance Education Learner Evaluation[J].Introduction of Educational Technology,2019,18(11):109-112. |
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| Authors: | YAO Ying WANG Fei |
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| Institution: | 1. Department of Education， Jining University， Jining 273155， China|2. School of Information Management， Wuhan University， Wuhan 430074， China |
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| Abstract: | In order to solve the problem that the traditional online course has a single evaluation method for learners and can not fully reflect the learners' learning situation， this paper designs the evaluation indicators of domestic distance education learners through expert survey method and literature research， and combines the current advanced neural network technology， the tentative construction of the learner evaluation model of distance education， and the application effect of the evaluation method in the distance education evaluation by the experimental research method. The practical results show that the evaluation result is highly credible and can provide a more scientific way of evaluating education for distant education learners. |
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| Keywords: | distance education BP neural network evaluation model learner evaluation |
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