运用创新教学策略实现学术目的的认知知觉

IF 0.9 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
S. Aruna, Kuchibhotla Swarna
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引用次数: 0

摘要

情绪对注意力的影响是特别强烈的,尤其是改变其选择性和激励行为和行动。学生参与课堂的程度决定了他们的概念知识水平。随着时间的推移,各种各样的教学技巧被开发出来,不仅提高了学生的注意力,而且提高了学生的参与度。学生的参与程度可以帮助我们决定学生在整个课程中所能达到的理解程度。虽然这些技术已经发展了一段时间,但确定这些活动的真实性的基本测试主要是通过使用基于评估的方法来完成的。根据神经科学领域的研究,一个人的情绪可以帮助我们确定一个学生的参与程度。我们也有情感循环模型向我们展示情感和一个人的投入程度之间的相关性。考虑到这一点,我们在情绪识别模型(借助CNN的VGG-16架构)和眼动追踪系统的帮助下开发了一个注意力模型,以分析学生在课堂上显示的参与度。该模型应用于各种教学模式上的学生,有助于我们确定各种教学方法对原始教学方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cognitive Perception for Scholastic Purposes using Innovative Teaching Strategies
The influence of emotion on attention is particularly strong, changing its selectivity in particular and motivating behavior and action. The degree to which a student participates in class determines their level of conceptual knowledge. Various teaching techniques have been developed over time to improve not only the attention of a student but also their engagement of a student. The level of engagement of a student can help us decide the amount of understanding a student can attain throughout the session. Though these techniques have been developed over time, the basic tests to determine the authenticity of these activities have been done mainly by the use of assessment-based methods. According to research in the field of neuroscience, a person's emotions can assist us to determine a student's level of participation. We also have the affective circumplex model to show us the correlation between emotions and the level of engagement of a person. Taking this into account, we developed an attentivity model with the help of an emotion recognition model (made with the help of VGG-16 architecture in CNN) and the eye tracking system to analyze the amount of engagement being displayed by the student in the class. This model applied to the students on the various teaching models helps us in deciding the effectiveness of various teaching methodologies for the primitive methods of teaching.
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来源期刊
Scalable Computing-Practice and Experience
Scalable Computing-Practice and Experience COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
2.00
自引率
0.00%
发文量
10
期刊介绍: The area of scalable computing has matured and reached a point where new issues and trends require a professional forum. SCPE will provide this avenue by publishing original refereed papers that address the present as well as the future of parallel and distributed computing. The journal will focus on algorithm development, implementation and execution on real-world parallel architectures, and application of parallel and distributed computing to the solution of real-life problems.
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