Exploring Academic Dishonesty and Plagiarism Among SHS Students
Academic dishonesty and plagiarism are pressing issues in today's educational system. To gain insights into the prevalence and causes of these problems, a survey titled 'Academic Dishonesty and Plagiarism Among SHS Students by using Artificial Intelligence' was conducted. The goal of this survey was to uncover the attitudes and experiences of secondary school students regarding academic dishonesty and examine the potential impact of using Artificial Intelligence (AI) in addressing this issue.
The survey consisted of a set of 20 carefully crafted questions, covering various aspects of academic dishonesty and its implications in high school. The questions were designed to elicit responses in three different formats: single choice, multiple choice, and open-ended.
The survey began by assessing students' awareness of the consequences of academic dishonesty and their understanding of what constitutes dishonest behavior. The initial findings revealed a mixed level of awareness among students, with some acknowledging the severe repercussions while others remained unaware of the magnitude of the issue. The multiple-choice questions brought to light common forms of academic dishonesty, such as cheating during exams, copying someone else's work, submitting someone else's work as their own, and using unauthorized sources in assignments.
The survey went on to investigate students' personal experiences with academic dishonesty. The single-choice questions aimed to gauge the prevalence of cheating on exams and the perceived prevalence of academic dishonesty among their peers. Interesting insights emerged from these questions, indicating a need for further inquiry into the factors contributing to dishonest behavior.
One of the focal points of the survey was exploring the potential role of AI in addressing academic dishonesty. Students were asked their opinions on the effectiveness of AI in detecting and preventing dishonest behavior. The multiple-choice questions delved into the effectiveness of different deterrence measures, including strict penalties, educational initiatives, plagiarism detection software, and exam monitoring.
The survey concluded with open-ended questions, allowing students to share personal experiences, suggest additional strategies to combat academic dishonesty, and express their concerns regarding the accuracy and implementation of AI systems.
The responses collected through this survey will serve as valuable data in understanding the phenomenon of academic dishonesty among SHS students. The findings will aid in formulating interventions and strategies to promote a culture of academic integrity. By leveraging the power of Artificial Intelligence, educational institutions can actively combat academic dishonesty, thereby upholding the importance of honesty, fairness, and intellectual growth within the academic community.