Turizm Eğitimi Alan Öğrencilerin Staj Döneminde Yaşadıkları Sorunlar: Lisans ve Ortaöğretim Turizm Öğrencileri Örneği

Akay, Bayram; Uslu, Abdullah; Sancar, Muhammet Fatih

doi:10.26466/opus.358194

Cited by 3 publications

(1 citation statement)

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“…Internship-related challenges further compound these issues, encompassing non-standard internship durations, intern exploitation, rotation and adaptation difficulties, off-field assignments, and social rights, nutrition, and accommodation problems (Akay et al, 2018). Effectively addressing these challenges in tourism education is pivotal for cultivating competent professionals and fostering sustainable sectoral development.…”

Section: Tourism Education In Türkiyementioning

confidence: 99%

Artificial intelligence perspective on tourism education

Güner,

Çılgınoğlu

2024

Tourism and Recreation

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This study is designed with an analytical approach that compares and analyzes the views of artificial intelligence algorithms on tourism education. This study, which includes data collection, data analysis, and conclusion-drawing processes, aims to understand, evaluate, and improve the problems related to tourism education from the perspective of artificial intelligence. The questions used in the data collection phase were inspired by the 2023 theme of the 23rd National Tourism Congress, "Tourism Education." The answers obtained through four basic questions directed to ChatGBT 3.5, Jenni, Bearly, and Google Bard artificial intelligence algorithms were collected in August 2023. The average time to answer each question was between 5-20 seconds. The questions were posed in Turkish for the ChatGBT 3.5, Google Bard, and Bearly algorithms, while they were translated into English for Jenni. In the data analysis phase, the long answer texts obtained from the artificial intelligence algorithms were analyzed using the hierarchical code sub-code model of the MAXQDA24 qualitative data analysis program. The similarities and differences between the findings were interpreted. As a result of the examinations conducted, it has been observed that the most comprehensive and up-to-date data were provided by Bard and Bearly. The information provided by the ChatGBT 3.5 algorithm, being based on data up to September 2021, and Jenni's limited features being freely accessible, have been restrictive in terms of the obtained responses. When the research findings are evaluated overall, it is observed that the language used is fluent, a general-to-specific approach is adopted, and there is no significant inconsistency among the provided information.

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Section: Tourism Education In Türkiyementioning

confidence: 99%

Artificial intelligence perspective on tourism education

Güner,

Çılgınoğlu

2024

Tourism and Recreation

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Muhasebe Meslek Adayi Öğrenci̇leri̇n Stajdan Beklenti̇leri̇ Ve Bu Beklenti̇leri̇n Gerçekleşme Durumunu Tespi̇t Etmeye Yöneli̇k Bi̇r Araştirma

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Köse

2020

Muhasebe Ve Vergi Uygulamaları Dergisi

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Araştırmanın amacı, üniversitelerde staj (işbaşı eğitimi) uygulamasının gerçekleştirildiği bölümlerden birisi olan Mehmet Akif Ersoy Üniversitesi Zeliha Tolunay Uygulamalı Teknoloji ve İşletmecilik Yüksekokulu, Muhasebe ve Finansal Yönetim Bölümünde öğrenim gören muhasebe meslek adayı öğrencilerin stajdan beklentilerinin belirlenmesi ve bu beklentileri gerçekleşme durumlarının araştırılmasıdır. Bu amaç doğrultusunda, Muhasebe ve Finansal Yönetim Bölümü öğrencilerinden 120 kişiye hem staj öncesi hem de staj sonrası anket uygulandığı için araştırma verileri, hem staj öncesi hem de staj sonrası ankete gönüllü olarak yanıt veren öğrencilerinden elde edilmiştir. Araştırma amacına uygun olarak oluşturulan hipotezler, 6 boyuta dönüştürülen soruların ortalamaları alınarak test edilmiştir. Araştırma verileri öncelikle Cronbach Alpha Testine tabi tutulmuştur. Hipotez testleri Paired Samples T Testi (Bağımlı İki Örnek t-Testi) ile sonuçlandırılmıştır. Araştırma sonucunda, oluşturulan hipotezden 5'i kabul edilmiş, 1'i ise red edilmiştir.

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