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Research and Application of Capability Evaluation Model Based on BP Neural Network Educational Technology—Taking the Problem-Based Learning Teaching Process Learning as an Example

机译:基于BP神经网络教育技术的能力评估模型的研究与应用 - 以问题为基础的学习教学过程学习为例

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摘要

Since 1980s, the United States scientists Rumelhart and Williams proposed the error back propagation algorithm, and BP neural network was widely applied to the design of computer systems. Based on the BP neural network system, this paper designs the education technology capability evaluationmodel. The preliminary carries out investigation and data analysis of the school students based on the educational technology ability, the medium term carries out the learning diagnosis and evaluation based on the PBL teaching method, and the later stage establishes the evaluation model, testand evaluation, in order to promote the development of students’ educational technology ability.
机译:自20世纪80年代以来,美国科学家Rumelhart和Williams提出了错误的反向传播算法,BP神经网络被广泛应用于计算机系统的设计。 基于BP神经网络系统,本文设计了教育技术能力评估模型。 基于教育技术能力,初步进行学校学生的调查和数据分析,中期基于PBL教学方法进行学习诊断和评价,后期阶段建立评估模型,试验评估 促进学生教育技术能力的发展。

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