Neuro Linguistic Programming for Academic Cheating in Mathematics Classes Faiz Fatihul Alwan, Widodo Winarso
Universitas Pendidikan Indonesia, Institut Agama Islam Negeri Syekh Nurjati
Abstract
The purpose of this research is to determine and identify the factors responsible for academic cheating in mathematics learning using the Neuro Linguistic Programming (NLP). This is a qualitative research with the Miles and Huberman data analysis techniques consisting of reduction, presentation, and drawing conclusions used as a case study design. Data were collected from students at Senior High School-Indonesia by using interviews and still image data collection techniques. The results showed that there are 14 forms of academic cheating in mathematics learning, which are classified into plagiarism, fabrication, exploitation of other people^s weaknesses, wrong cooperation, attempts to cheat before the test, use of prohibited tools during the exam, and manipulation of assignments. A total of 12 factors trigger academic cheating in mathematics learning, these include internal, external, learning, and academic cheating resistance factors. The identification results using NLP showed some students do not aim to commit in academic cheating. However, a total of 9 obstacles were in accordance with their viewpoints using the frame and metamodels. Therefore, students assume academic cheating is an appropriate action to respond to a situation.
