The Prediction of Online Academic Cheating during E-learning based on Successful Intelligence and Implicit Beliefs of Intelligence in Students
Subject Areas : Education
Keywords: academic dishonesty, successful intelligence, implicit beliefs of intelligence,
Abstract :
The purpose of this study was to predict online academic cheating during e-learning based on successful intelligence and implicit beliefs of intelligence in students. The descriptive-correlational method was used. The statistical population consisted of all female high school students in Tehran in the academic year 2021-2022. In this study, according to convenience sampling method, 200 female students were recruited by applying Tabachnick et al.’s (2007) formula. The selected sample members were asked to fill in the online academic cheating scale (OACS) (Veisi et al., 2020), successful intelligence questionnaire (SIQ) of Grigorenko and Sternberg (2002), and implicit theory of intelligence scale (ITIS) of Abd-El-Fattah and Yates (2006). The data were analyzed by conducting Pearson correlation and multivariate regression analyses. Findings showed that there was a significant correlation between successful intelligence and implicit beliefs of intelligence with online academic cheating (P<0/01). Regression analyses also revealed that %71/1 of variance of online academic cheating was explained by successful intelligence and implicit beliefs of intelligence. This study confirmed the significant contribution of successful intelligence and implicit beliefs of intelligence in online academic cheating in students.