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Abstract Background: Now a day, internet addiction is a common problem that defines as abuse in computer and online information. In addicted students to internet may develop many types of problem in education. This research was designed to determine the effect of internet addiction on educational status of Arak university of medical sciences students, spring 2009 Materials and Methods: This analytical cross-sectional study was conducted on 426 Arak medical university students passing at least one term of his/her course in spring 2009. A Yang standard internet addiction questionnaire applied for data gathering and after data entry was analyzed in 0.05 significant levels. Results: Mean and standard deviation of age, average of scores and Yang internet addiction score were as 20.95±1.41, 16.13±1.38 and 32.74±14.52, respectively. Internet addiction associated with number of failed and passed total, average decline in recent terms, educational term and obtaining average score under 12 (p<0.05). But didn’t associate with course, educational level and faculty of education (p>0.05). Conclusion: Since internet addiction can affected the educational status inversely, and reduces average score and educational subsidence, endeavor for beneficial opportunities prevention is essential.

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Introduction: Internet infidelity is one of the most significant threats to family cohesion in recent years. Identifying the factors associated with marital infidelity is crucial as it can help reduce the risk of family breakdown. The aim of this study was to examine the role of power-seeking, independence, and conscientiousness in predicting internet infidelity among employed married women.
Methods: This study was conducted using Structural Equation Modeling (SEM). The research design was descriptive-correlational, and the statistical population comprised all employed married women working in offices, healthcare centers, and educational institutions in Urmia County during the years 2023–2024. The sample size was determined to be 250 participants, selected through purposive random sampling. Specifically, among the employed married women, those who met the inclusion criteria (such as formal or contractual employment and frequent internet use) were randomly chosen from the pool of volunteers. The research instruments included questionnaires measuring power-seeking, independence, conscientiousness, and internet infidelity.
Results: Data were analyzed using structural equation modeling assistance. Evaluation of the hypothetical model using fit indices indicated that the hypothetical model fit well with the measurement model. The results showed that power-seeking and independence had a positive and significant relationship with internet infidelity, while conscientiousness had a negative impact on this phenomenon. Notably, power-seeking was identified as a stronger predictor of internet infidelity with a beta coefficient of 0.16.
Conclusions: The findings indicated that power-seeking and independence could be suitable predictors of internet infidelity among employed married women, serving as valid indicators for identifying this phenomenon.
 

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Artificial intelligence can serve as a key factor in enhancing the education of basic medical sciences, particularly in critical situations such as the recent Iran-Israel conflicts and internet restrictions. This technology can help bridge the gaps caused by limitations in face-to-face instruction and restricted access to scientific resources by providing personalized learning content, virtual simulations, and immediate feedback. Additionally, by strengthening group interactions and fostering critical thinking skills, artificial intelligence plays a vital role in increasing the resilience of the educational system. Therefore, integrating artificial intelligence into medical education processes is not only essential for effectively responding to crises but also indispensable for the continuous improvement of education quality and the empowerment of future healthcare professionals.