以知识共享为导向的“软件操作”实践教学新方法

Q1 Social Sciences
Qiong Ding
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引用次数: 0

摘要

软件操作实践教学注重操作实践和实践体验,特别注重师生互动和因材施教。问答社区作为一个典型的知识共享平台,发展迅速,可以作为软件操作实践教学的辅助教学方法,促进师生之间的教学知识共享。现有的研究大多基于词向量的相似性来考虑问答相关性的注意机制,导致模型给出的答案的准确性和可解释性不理想。有鉴于此,本文研究了一种面向软件操作实践教学的新的教学知识共享方法。本文首先阐述了知识共享的思想,并提出了一种基于特征和注意力聚合的软件操作实践教学知识答案选择模型,以解决传统研究通常侧重于单句注意力权重的问题。比较要匹配的句子序列的单词粒度并聚合比较结果解决了传统方法忽略要匹配的语句序列之间的相互作用的问题。最后,实验结果验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Method of Teaching ‘Software Operation’ by a Knowledge Sharing Oriented to Practice Teaching Approach
The practice teaching of software operation emphasizes operation practice and practical experience, and it lays special attention on the interactions among students and teachers and teaching in accordance with aptitude. As a typical knowledge sharing platform, question-and-answer (Q&A) community is developing fast and can be taken as an assistant teaching method for the practice teaching of software operation to facilitate the teaching knowledge sharing between teachers and students. Most existing studies consider the attention mechanism of the correlation between questions and answers based on the similarity of word vectors, which has resulted in unsatisfactory accuracy and interpretability of the answers given by the model, in view of this matter, this paper studied a new method of teaching knowledge sharing oriented to the practice teaching of software operation. At first, this paper elaborated on the idea of knowledge sharing, and proposed a knowledge answer selection model for practice teaching of software operation based on the aggregation of features and attention to solve the problem with conventional studies which generally focus on the weighting of attention of a single sentence. Comparing the word granularity of sentence sequences to be matched and aggregating the comparison results have solved the problem with conventional methods in ignoring the interaction between the sentence sequences to be matched. At last, experimental results verified the effectiveness of the proposed method.
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来源期刊
自引率
0.00%
发文量
352
审稿时长
12 weeks
期刊介绍: This interdisciplinary journal focuses on the exchange of relevant trends and research results and presents practical experiences gained while developing and testing elements of technology enhanced learning. It bridges the gap between pure academic research journals and more practical publications. So it covers the full range from research, application development to experience reports and product descriptions. Fields of interest include, but are not limited to: -Software / Distributed Systems -Knowledge Management -Semantic Web -MashUp Technologies -Platforms and Content Authoring -New Learning Models and Applications -Pedagogical and Psychological Issues -Trust / Security -Internet Applications -Networked Tools -Mobile / wireless -Electronics -Visualisation -Bio- / Neuroinformatics -Language /Speech -Collaboration Tools / Collaborative Networks
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