Impact of Smart Classroom: A Study

Yamini Jyothsna Kambala, Ramakrishna Mathe
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Abstract

The classroom is an important location where learning activities are carried out. It is the most important component in education system since it promotes knowledge transfer from a teacher to a group of pupils. In this digital era, Smart classroom is a digital effort that is fast transforming the teacher’s way of teaching and students learn via the use of technology. During covid time smart classrooms played a key role in online teaching.  The study intents are: to determine the effect of smart classrooms, to explain the benefits and drawbacks of smart classroom, to investigate the impact of introducing smart classrooms and what factors are deficient for the better implementation of smart classrooms. The study area was Rajanagaram Mandal, East Godavari district of Andhra Pradesh. In this study survey on impact of smart classrooms was conducted. The respondents selected for the study are both students and teachers from various high schools in the study area. This paper examined both the data qualitative and quantitative through primary and secondary sources. A total of 130 (100 Students and 30 teachers) were selected by using simple and random sampling methods. The Primary data is original and unique which is directly collected by the researcher by using data collection methods like observations, survey, schedule and semi structured interviews according to the requirement of the study. The sources of secondary data are government publications, websites, books, articles in journals and internal records. The result of the study reveals pros and cons of the smart class learning environment and traditional classroom.
智能课堂的影响:一项研究
课堂是进行学习活动的重要场所。它是教育系统中最重要的组成部分,因为它促进了知识从教师到学生群体的转移。在这个数字时代,智能课堂是一项数字化努力,它正在迅速改变教师的教学方式,并通过使用技术来改变学生的学习方式。在新冠疫情期间,智能教室在在线教学中发挥了关键作用。研究意图是:确定智能教室的效果,解释智能教室的好处和缺点,调查引入智能教室的影响,以及更好地实施智能教室缺乏哪些因素。研究区域为安得拉邦东戈达瓦里地区的Rajanagaram Mandal。在本研究中,对智能教室的影响进行了调查。受访者选择的研究是学生和教师从各个高中在研究区域。本文通过一手资料和二手资料对数据进行了定性和定量的检验。采用简单随机抽样的方法,选取了130名学生和30名教师。Primary data是研究者根据研究需要,通过观察、调查、schedule、半结构化访谈等数据收集方法直接收集的原始、独特的数据。二手数据的来源是政府出版物、网站、书籍、期刊文章和内部记录。研究结果揭示了智能课堂学习环境与传统课堂学习环境的利弊。
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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