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Educational Tourism: a Conceptual Framework
30-37Views:87Though educational tourism has already emerged in the early times in Europe, the theoretical analysis of educational tourism is relatively recent. The firts books on educational tourism were only published in 2003. In Hungary the weight of educational tourism is not hight - less then 1% of tourism arrivals and less than 4% of total tourism spending - but per capita spending is the highest among tourists arrivinh in Hungary with educational purposes. Surprisingly tourists arriving for longer than one day with an educational purpose had more than 100% higher spendig during the last couple of years than tourists arriving for more than one day with business purposes. Because this high spending educational tourism is very important for the towns, where foreign students pursue their studies. Not only foreign student mobility can be regarded as educational tourism but internal student movement as well. Students who live other towns and who come to a town to entrol at a university have important contribution to the economy of this town - just like the non-educational, traditional tourists to do.
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Examination of the Travelling Habbits of Students Majoring in Sports and the Examination of their Satisfaction with the Elements of the Ski Camps at Eszterházy Károly College: a sportszakos hallgatók utazási szokásainak, és a sítáborozás kínálati elemeivel való elégedettségének vizsgálata
89-95Views:184In our paper we would like to give some information in connection with winter tourism and ski camps at Eszterházy Károly College. In our research we wanted to give answers to the following questions: We wanted to find out the students' travelling habits. We wanted to know which activities are the most typical during the students's trips. We would like to get to know if their trips are induvidual or are organised by a travel agency or any other organisation. We examined the number of student trips per academic years. We analysed the students's satisfaction with the different kinds of elements of ski campus. We analysed the data (frequency, percentage, average, mean, despersion figure, Pearson Chi Square, correlation, histograms with normal curve) with SPSS software.