Mining And Application Of Teaching Data : A new conception of multimedia teaching assessment based on residual calculation method

2018 5th International Conference on Systems and Informatics (ICSAI) Pub Date : 2018-11-01 DOI:10.1109/ICSAI.2018.8599430

Daomeng Xu, Fang'ai Liu, Lu Jiang, Weiwei Zhang

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引用次数: 1

Abstract

In recent years, more and more attention has been paid to the management of teaching time in colleges. However, many researches have showed that there are some irregular differences between the teaching time regularities of different teachers and the standard teaching time prescribed by the school. In order to solve the problem more efficiently, a novel evaluation indicator system of teaching is proposed based on the large-scale multimedia teaching data about college multimedia teaching courses. Specifically, we firstly construct a teaching evaluation model based on PT (Point of Time) and LT (Length of Time), which explores the data information of the start-point and the end-point of teacher's classroom teaching completely. And then the RC(Residual Calculation) method is utilized to compare the vector fitting between teachers' behavior data and class standard data, since RC evaluation can effectively offer the data representations of teaching behavior. Therefore, the proposed evaluation indicator system of teaching provides an objective reference for the management of teaching time in colleges.

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教学数据的挖掘与应用:基于残差计算方法的多媒体教学评估新构想

近年来，高校教学时间管理越来越受到重视。然而，许多研究表明，不同教师的教学时间规律与学校规定的标准教学时间存在一些不规则的差异。为了更有效地解决这一问题，基于高校多媒体教学课程的大规模多媒体教学数据，提出了一种新的教学评价指标体系。具体而言，我们首先构建了基于PT (Point of Time)和LT (Length of Time)的教学评价模型，全面挖掘了教师课堂教学的起点和终点的数据信息。然后利用RC(残差计算)方法比较教师行为数据与班级标准数据的向量拟合，因为RC评价可以有效地提供教学行为的数据表征。因此，本文提出的教学时间评价指标体系为高校教学时间管理提供了客观参考。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2018 5th International Conference on Systems and Informatics (ICSAI)

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