SOCIAL MEDIA AS A PREDICTOR OF EXAMINATION MALPRACTICE AMONG THE STUDENT OF FACULTY OF EDUCATION OF BORNO STATE MAIDUGURI
Abstract
the aim of this study was to examine social media as a predictor of examination malpractice among the students of faculty of education of Borno State university to achieve the purpose of this study three (3) objectives were stated and three (3) research questions were raised. relevant and related literature were reviewed on social media as a predictor of examination malpractice. a survey research method was used for this study. the population a of the study was the students of faculty of education of Borno State University. stratified random sampling techniques were used to select one thousand one hundred and fifty-two (1152) respondents comprising both male and female from four (4) departments in the faculty of Education. The findings revealed that social media has implications on students; WhatsApp and Facebook are the most potent social media tools used for examination malpractice. Students easily get access to examination malpractice and leaking exam questions before exams is the most prominent method by students. On the basis of the findings, some recommendations were made. Which include among other that the University authorities should not only engage the leadership of the students' body but also make rules that prohibit the use of cell phone in the examination hall and social media is adapted by students for examination malpractice; lecturers should restrict media and monitor the use of social media among their students. Students need all these to help in developing their academic intolerance.
Full-Text Access Notice
In accordance with the NERD Policy on promoting peer-reviewed publication, public access to the full text of a project, thesis or dissertation is restricted for three years, allowing the author and supervisors sufficient time to pursue peer-reviewed publication.
During this period, researchers with legitimate academic or research purposes may request authorisation directly from the author to enable NERD to release the indexed full texts of the work using the form below.