The susceptibility of online learning to cheating behavior remains a contentious and unresolved issue. A cross-sectional explanatory research design was utilized to test the hypothesized factors influencing academic cheating in online learning. Our study involved 562 participants, selected through a non-probability sampling technique, who were surveyed using online questionnaires designed to measure the identified factors. We tested the hypotheses by utilizing path analysis through the partial least square regression approach within the SMART-PLS software. The demographics such as gender and age (...) of the students, along with the roles of teachers and school administration significantly influenced the students’ instances of self-reported academic cheating. The students’ attitude toward academic cheating emerged as an important factor in predicting cheating behaviors. The paper concludes with recommendations for future research explorations into other potential factors that may contribute to academic dishonesty in online learning. (shrink)