Probe into the Influence of Mobile Phone Addiction and Learning Efficiency - A Case Study of Jinhua, in Taipei City

• Main Authors: LEE, KUO-CHEN, 李國禎
• Other Authors: LEE, KUEN-CHING
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/s6bb6a

碩士 === 世新大學 === 資訊管理學研究所(含碩專班) === 106 === With the advent of smartphones, mobile communications have entered another realm. The features such as touch screen, audio and video, Internet access, and personal entertainment at any time, and the ability to interact with friends through the use of smart phones, have led to a rapid increase in the popularity of smart phones. In Taiwan, it has exceeded. A degree of manpower. The use of smart phones for a long time has also created unprecedented problems, such as the addiction of mobile phones, impact on the psychology and physiology of users, and the impact on learning effectiveness. The purpose of this study is to investigate the status of mobile phone addiction among students in the country and to understand the relevance of mobile phone addiction and learning effectiveness. This study will use the “Cell Phone Addiction Questionnaire” and the “Study Effectiveness Questionnaire” to conduct a questionnaire survey using the SPSS for Window version. The findings are as follows: (1)Respondents with different mobile phone usage, schoolwork pressure, comprehensive performance in the previous semester, comprehensive performance in major subjects, parental marital status, and parental education level have significant differences in mobile addiction. (2)Respondents using different phone time, comprehensive performance in the previous semester, and maternal education have significant differences in herd behavior. (3)Respondents who performed comprehensively in the previous semester have significant differences in learning outcomes. (4)The higher the “self-concept” and “herd behavior”, the higher the “learning effectiveness” predicted; and the higher the “quitting” and “anxiety”, the more “learning effectiveness” predicted by it will be. low.