The Dark Side of Humanity Scale: A reconstruction of the Dark Tetrad constructs

HEXACO, the Dark Triad, and Chat GPT: Who is willing to commit academic cheating?

The rise in popularity of Chat GPT, an advanced language model that uses deep learning techniques to simulate human-like conversation, has raised concerns about its potential misuse, particularly in academic contexts. The present study (N = 283) explored the relationship between personality traits and the intention to use chatbot-generated texts for academic cheating. Among the HEXACO and Dark Triad traits, Honesty-Humility, Conscientiousness, Openness to Experience (all negative), Machiavellianism, narcissism, and psychopathy (all positive) were significant predictor variables. A multiple regression analysis showed that Honesty-Humility had the most robust association with the intention to use chatbot-generated texts for academic cheating. Further analyses on the facet level revealed that the fairness facet of Honesty-Humility was the most predictive, suggesting that individuals high in Honesty-Humility refrain from using chatbot-generated texts for academic cheating as they prioritize fairness over their own interests. Promoting Honesty-Humility and its fairness facet can be a valuable approach to promoting ethical behavior in academic and other contexts.

The Teaching-Learning Process or the Teaching Process and the Learning Process

Education in school is conceived from the teaching-learning process where the teacher, student, and group intervene as personal components. In the first part of the article, evidence is shown that this process is not a dialectical interrelation. Later it is demonstrated that this process exists under certain conditions that are explained from the theory of subjectivity. In this explanation, the role of the personal components that teaching and learning are integrated into a process is revealed.