探讨孟加拉Rangpur高等教育学院学生对社交媒体平台的了解

Md. Tabiur Rahman Prodhan, M. Islam, Md. Sajjat Hossain
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引用次数: 4

摘要

社交媒体(SM)是技术时代的最佳指标之一。如今,人们见证了SM在我们生活的几乎每个领域的快速增长,从教育到政治,社会和经济。它吸引了各个年龄段的人。尤其是学生对社交媒体表现出浓厚的兴趣。本研究的目的是了解受访者对各种社交媒体平台(SMPs)的最偏好的SM和使用模式知识。该研究以问卷调查的方式对孟加拉国北部Rangpur两所最大的大学的100多名学生(60名男性和40名女性)进行了调查,这些学生年龄在18岁至26岁之间,于2019年在本科和研究生课程中学习。95%的受访者使用不同的社交媒体平台,其中最受欢迎的社交媒体平台是Facebook(88%)、YouTube(81%)和IMO(45%)。被调查者使用模式知识水平的均值在4.46 ~ 1.88之间,标准差在1.10 ~ 1.83之间。大多数被调查者具有足够的Facebook用户的使用模式知识,两个变量的平均得分范围都很广。受访者较少使用模式知识,作为Viber的用户,在两个变量的平均得分范围很窄。除一个因变量(特征)的r值为0.253外,其他所有因变量(特征)与使用时长呈显著正相关,其中Twitter的两个特征均具有最高的正显著性(r值分别为0.945、0.941)。这些评分在p<0.05的概率水平上均有统计学意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the knowledge of social media platforms among higher education institute students’ of Rangpur, Bangladesh
Social media (SM) is one of the best indicators of the technological era. Nowadays people are witnessing the rapid increase of SM in almost every field of our lives from education to politics, society, and economics. It attracts all ages of people. Especially students show an intense interest in social media. The purpose of the study was to know the most preferred SM and the using pattern knowledgeability of respondents regarding various social media platforms (SMPs). A questionnaire-based survey was conducted over 100 students (60 males and 40 females) who were selected randomly from two largest universities in Rangpur, northern part of Bangladesh, studying in undergraduate and postgraduate programs in 2019 between ages 18 and 26. 95% of the respondents used different social media platforms where the top preferred social media platforms are Facebook (88%), YouTube (81%), and IMO (45%). The mean values of the respondents' using pattern knowledgeability level were between 4.46 and 1.88, with standard deviations ranging from 1.10 to 1.83. Most of the respondents have enough using pattern knowledgeability of being a user of Facebook with a wide range of mean scores in both the variables. Respondents have less using pattern knowledgeability of being a user of Viber with a tight range of mean scores in both the variables. All the dependent variables (features), except one (r-value 0.253), showed positive and significant correlations with the usage period where both the features of Twitter have the highest positive significance (r-value 0.945, 0.941 respectively). These scores were significant at p<0.05 level of probability.
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