Actions of Plagiarism in Students: the Role of Self-Efficacy, Learning Motivation, and Artificial Intelligence in Learning

Abstract

Plagiarism is an act that is not commendable by imitating, plagiarizing, or taking other people's work without asking permission from the owner of the work. Acts of plagiarism are often found in assignments and scientific writing for students. This research wants to test self-efficacy variables, motivation to learn plagiarism by using artificial intelligence as a moderating variable. The approach in this research is explanatory quantitative by using a questionnaire to collect data. The population in this study was all XYZ University students whose population size was unknown. Sampling using adapting the formula from Sinulingga with a total of 100 samples. Then, this study used a moderate regression analysis test with the help of SPSS. The results in this study indicate that the impact of positive and significant influence between self-efficacy on plagiarism, artificial intelligence on plagiarism, artificial intelligence can strengthen the relationship between self-efficacy on student plagiarism. Then, negative and insignificant results were found in the relationship between learning motivation for plagiarism and artificial intelligence did not succeed in influencing learning motivation for plagiarism. From these results, it can be concluded that increased self-confidence in students can reduce plagiarism. In addition, the current development of artificial intelligence is also used by students to find learning resources that are relevant to the studies they are currently taking.