Explaining the relationship cyber harassment in social media with academic adaptation and interaction of students in the context of electronic learning management system (LMS)

Subject Areas : Infomartion Technology

Mahsa  Taghipour ¹ (Master's student in Educational Management, Shahid Beheshti University, Tehran, Iran,)
ahmad  mirgol ² (Faculty member, Faculty of Educational Sciences and Psychology, Department of Educational Sciences, Payam Noor University, Zahedan, Iran)
parisa  Bahari ³ (Bachelor of Elementary Education, Farhangian University, Tehran, Iran)
akram  hafezi ⁴ (**** Assistant Professor, Department of Educational Sciences, Curriculum Planning, Farhangian University, Nasibah Campus, Shahid Sharaft Center, Tehran, Iran)

Received: 2022-10-31 Accepted : 2023-05-22 Published : 2023-09-23

Keywords: social media, Academic adjustment, E-Learning, Cyberbullying, student engagement,

Abstract :

The current research was of the objective, applied and descriptive research type. The statistical population included all 5697 students of the second year of high school in Shiraz. To collect data, Pourjamshidi et al.'s e-learning interaction questionnaire, Baker and Seriak's academic adjustment, and Antiado et al.'s cyberbullying experience questionnaire (CBVEQ) were used. The reliability of the questionnaire was obtained by Cronbach's alpha coefficient of 0.81 for academic adjustment, 0.73 for interaction and 0.85 for cyber harassment, and its content validity was approved by educational science professors. The results were analyzed in two descriptive and inferential sections (linear regression and correlation) using SPSS25 software. The findings showed that there is a positive and significant relationship between academic adaptation and student interaction in the context of the learning management system (LMS). Also, there is a significant negative relationship between cyber harassment in social media with academic adjustment (r=-0.620) and students' interaction (r=-0.680) in the context of the electronic learning management system (LMS) (P=0 /000). Therefore, based on the results of linear regression analysis; Academic adaptation and interaction of students in the context of learning management system can be predicted based on cyber harassment in social media.

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