درخت حوزه‌های تخصصی

Iran, as one of the preventive (health) tourism regions and hubs of the world, has potential preventive and health capacities. On the other hand, health tourism brings three times more currency than other areas of tourism, so it is necessary to recognize the factors affecting the attraction of health tourists in different regions of Iran. According to 9 tourist regions in this article, which include region 1 (separately 5 land management regions, which are regions 2 (East Azerbaijan, West Azerbaijan, Ardabil and Kurdistan), region 5 (Fars, Bushehr, Kohgiluyeh and Boyer-Ahmad), region 8 (Yazd, Kerman, Sistan and Baluchestan and Hormozgan), region 1 (Gilan, Mazandaran, Golestan and Semnan) and region 3 (Hamedan, Kermanshah, Lorestan and Ilam) which in terms of health in areas with natural resources and suitable climate Comparative advantage and priority (regions 2, 1, 3, 5 and 8), preventive tourism demand (health) was estimated by the almost ideal demand method. Based on the opinion of 226 preventive health tourists in 5 land management areas, the sensitivity of foreign preventive tourism demand (health) to the effective factors and types of health tourism expenditures is measured. The results in all 5 preventive tourism areas indicate the sensitivity of foreign tourists to various macro factors such as inflation and exchange rates, the amount of personal income can be captured. In addition, the variables of relative prices (exchange rate), transportation and travel costs, medical facilities, standard accommodation, health tourism facilities, accommodation costs, health services prices, cooperation between tourism agencies and medical centers are all It affects the demand of tourists. Also, foreign tourists are highly sensitive to costs and preventive expenses in Iran and less sensitive to other expenses such as transportation and accommodation services and other expenses.

The present study investigated the effects of online training on Iraqi hotel management students’ speaking skills. A quantitative approach was adopted for the purpose of the study. Thirty-eight students participated in the study. Two groups were formed randomly; experimental and control. They took the PET test. Their scores from the PET test were used to check the homogeneity of the learners. Moreover, the learners’ pretest scores were considered as their speaking scores from the PET test. Based on the treatment, the experimental group received online speaking training through online applications such as Skype. On the other hand, the learners in the control group received their training through face-to-face interaction with the teacher.  After the treatment, the learners took the speaking test from the PET test. Their mean scores were calculated and compared to find any significant differences. The results showed that the learners’ speaking skills in the experimental group improved significantly in comparison to the control group. The results of the study also showed the importance of online training for improving the speaking skills of EFL and ESP students.