{"title":"Cognitive Perception for Scholastic Purposes using Innovative Teaching Strategies","authors":"S. Aruna, Kuchibhotla Swarna","doi":"10.12694/scpe.v23i4.2011","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":43791,"journal":{"name":"Scalable Computing-Practice and Experience","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scalable Computing-Practice and Experience","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12694/scpe.v23i4.2011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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.