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Sustainability
  • Article
  • Open Access

13 October 2024

Methodological and Practical Basis for the Formation of a Matrix of Attractiveness of Tourist Sites and Its Role in the Process of Implementing Educational Tourism in the Education System of Higher Education Students

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Marketing Department, Institute of Digital Economy Research, Faculty of Economics, Karaganda Buketov University, Karaganda 100000, Kazakhstan
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Author to whom correspondence should be addressed.

Abstract

The article develops a methodological and practical basis for assessing the attractiveness of regional tourist sites from the point of view of educational tourism. An assessment methodology was created, including groups of criteria and sub-criteria (6 and 53, respectively), selected based on expert evaluation; a matrix was formed, allowing us to calculate integral indicators step by step, which was tested on the example of 50 objects of five regions of Kazakhstan (Central, Northern, Southern, Western and Eastern). In addition, the article implements hierarchical cluster analysis on three blocks of parameters: the first—indicators characterizing the level of education development in the context of 17 regions and 3 cities of republican significance; the second—indicators reflecting the cultural development of the country’s regions; the third—parameters showing the level of development of tourism activities in the regions of Kazakhstan, which allowed us to obtain three clusters that can be used to develop recommendations for the development of education in the regions of Kazakhstan. As a conceptual complementary component of the system of implementation of educational tourism, an audio guide “Tourist sites of Karaganda” was developed and uploaded on the izi.Travel platform.

1. Introduction

Modern transformations, caused by the impact of various kinds of factors, occurring in economic sectors, as well as in the educational environment, predetermined the development of student-centered learning, which is currently one of the effective approaches in the implementation of educational programs by higher education institutions.
It should also be noted that tourism-educational activity, characterized by the active involvement of students in the cognitive process, as a rule, outside the educational institution (in nature/on the territory of a tourist destination/near tourist and excursion objects), serves as an effective tool to activate cognitive processes and develop creative abilities and critical thinking, and also contributes to the effective formation of the pool of knowledge about the surrounding world.
In turn, educational tourism is a unique means, on the one hand, to develop and promote local history through the prism of field trips, where a special role is played by tourist objects, and on the other hand, to form a new educational environment, characterized by the possibility for students to acquire new knowledge and skills, directly or indirectly related to the main profession in the educational programs studied.
According to the analytical portal Grand View Research, the global educational tourism market is estimated at USD 365.9 billion in 2022; experts note that the expected average annual growth rate from 2023 to 2030 will be 13%.
The key factors influencing the countries and regions of the world according to surveys of their identification as world educational centers/places of attraction for educational tourists include increased demand for authentic regional educational products, growing interest in event events (including educational events), the formation of niche consumer groups (e.g., researchers, “digital nomads”, etc.), as well as the desire on the part of potential customers to combine active learning with learning something. The US, UK, Canada, and Ireland are among the most favored destinations for education. Educational institutions in such countries tend to have higher academic standards and follow strict rules to maintain quality. For instance, according to the QS 2023 world ranking, 27 universities out of the top 100 are located in the US, with the PRC, India, South Korea, Canada, and Saudi Arabia accounting for about 63.6 percent of educational tourists to the US in 2020 [1].
According to the Skyquest platform, language programs, academic exchanges, and professional development courses are the most popular forms of educational tourism in the world. Generally, they are most in demand among undergraduate students, academics/researchers, and professionals seeking to enhance/improve their education, acquire new skills, and expand career opportunities. It is also important to note that the COVID-19 coronavirus pandemic has also contributed to a shift in educational travel preferences towards the domestic market, which for some consumers is preferable, given the new opportunities offered by the possibility of obtaining affordable education at home, as well as discovering local cultural, historical and natural attractions, and, as a consequence, expanding their horizons and popularizing regions as tourist destinations, with the potential to increase the number of visitors to the region [2].
The purpose of this scientific article is to develop the theoretical and methodological-practical bases for forming the matrix of attractiveness of tourist objects using the example of regions of Kazakhstan and to determine its role in implementing educational tourism in the system of education of higher school students.
The main tasks are defined as follows:
  • Conducting a cluster analysis, the purpose of which is to group the regions of the Republic of Kazakhstan in the context of parameters characterizing the development of educational tourism in the country;
  • Identification of criteria and sub-criteria for assessing the attractiveness of tourist facilities from the position of development and adaptation of the basic principles of educational tourism;
  • Definition of groups of objects in the context of the regions of the Republic of Kazakhstan, for which an expert assessment will be made in the framework of the selected criteria;
  • Defining the role of the matrix in the process of implementation of educational tourism in the educational environment within the framework of student-centered learning in Kazakhstan;
  • Development of the SMART audio guide “Tourist objects of Karaganda city” (preparation of the route thread, description of the objects of the show and tell, calculation of the length) and uploading it in three languages (Kazakh, Russian, and English) on the platform is.Travel for further free use by all educational institutions of the region.
The main research questions posed by this study are as follows:
  • What parameters characterizing the development of educational tourism can be used for cluster analysis and to influence the results of grouping the regions of Kazakhstan? (RQ1).
  • What criteria and sub-criteria can include the matrix of assessment of tourist objects of the region from the position of educational tourism development? (RQ2).
  • How can the obtained assessments presented in the matrix be used in the construction of route threads and the creation of SMART audio guides? (RQ3).

2. Literature Review

The literature review presented below deeply examines various aspects of educational tourism, emphasizing the importance of its integration into the academic environment, which is directly related to the purpose of the article, which is associated with the development of theoretical and methodological–practical foundations for the formation of a matrix of the attractiveness of tourist sites and the identification of its role for the development of educational tourism and its successful implementation in the system of higher education.
The review pays special attention to the issue of forming students’ cognitive and social skills through participation in tourist activities, which is entirely consistent with the study’s task of creating an effective system for assessing the tourist attractiveness of sites for the development of educational tourism and its subtypes. This is confirmed by various studies within the framework, which reflect that educational tourism contributes to student-centered learning and the development of intercultural communication necessary for implementing international student exchanges, as discussed in the article.
An essential part of the literature review is the discussion of the role of cluster analysis, which is used in the article to classify the regions of Kazakhstan by the level of development of educational tourism (in the context of 3 blocks of criteria and 59 sub-parameters)—this emphasizes the importance of a scientific approach to the development of a matrix of attractiveness of tourist sites. In addition, a unique role is given to the digital transformation of educational tourism and new technologies (development of online platforms and audio guides), which is closely related to one of the critical objectives of the article—the development of a SMART audio guide.
Separately, the issues of sustainable development and features of using GIS technologies to analyze tourist routes are considered, which can be helpful for further research, especially in assessing a region’s/country’s tourism resources.
The literature also emphasizes the importance of forming strategies for interaction between educational institutions and local communities. It notes the importance of a multi-criteria approach to assessing tourist sites. It is directly related to creating a matrix of tourist sites’ attractiveness, considering various factors, and focusing on practical applications.

2.1. Features of Educational Tourism Development in the Conditions of Globalization, Digital Transformation of Educational Institutions, as Well as Within the Framework of Implementation of the Main Principles of Student-Centered Learning

Educational tourism at the present stage is characterized by the active involvement of students in the learning process, the development of cognitive abilities, the expansion of horizons, as well as the implementation of learning elements related to the preservation of the environment and the implementation of the principles of sustainable development of tourist territories and socialization [3].
The introduction of tourism activity components into the educational process emphasizes the relevance of experiential learning, the use of training, training seminars, summer schools, and the implementation of scientific and practical activities, thus contributing to the quality of learning and improving social interaction between students, which, in turn, acts as an essential factor of modern communication [4,5]. Through curricular approaches with elements of tourism education, unique educational experiences combining travel with educational content are being created everywhere [6]. In addition, switching to educational programs that combine a tourism and recreation component increases students’ engagement with social sciences, making the learning process more integrated and holistic [7].
At the current stage of economic development, it is reasonable to say that educational tourism combines knowledge (and, due to its multidisciplinary nature, from different fields of science), behavioral characteristics of an individual, and scientific aspects that are crucial for the formation and development of soft skills in conducting research [8].
The role of academic exchanges increases every year; in this regard, the issues of researching motivational factors and determining the role of the university image in the migration educational processes become especially relevant [9,10,11].
Student exchange programs play an important role in promoting sustainable tourism development [12]; at the same time, higher education institutions provide significant support to local communities by implementing the principles of educational tourism, including through student-centered learning [13].
However, it is important to note that the COVID-19 coronavirus pandemic has had an impact on the education system, transforming it significantly, fueling the development of online learning, and the formation of a variety of educational digital ecosystems, platforms, and applications [14,15,16,17].
In addition, the pandemic exacerbated existing inequalities in education, particularly affecting low-income families, leading to problems in accessing educational resources [18]. This, in turn, has necessitated the development of effective regional and country strategies for crisis management in education, necessary to ensure the adaptation of educational institutions to the realities of the market, aimed at digitalization, personnel policy, and branding [19].
It is important to note that in the scientific literature, there is still no unified approach to the study of the level of attractiveness of tourist sites from the perspective of the development of educational tourism (especially from the standpoint of matrix evaluation). Therefore, the article presented in the scientific article has scientific novelty and practice-oriented characteristics.
For further successful implementation of educational tourism and its implementation in the system of higher school education, it is necessary to have an effective system of marketing and communications, distribution of resources, providing opportunities for optimal implementation of educational programs, as well as the development of a comprehensive methodology for assessing tourism resources that can be used for the formation and implementation of tourist routes and their inclusion in the educational process [20,21].

2.2. The Role of Universities in the Development of Educational Tourism

Universities are key players in the educational tourism market, contributing to the creation and commercialization of innovations, knowledge transfer, student entrepreneurship, service, and enterprise markets. They also contribute to international student exchanges and the popularization of tourism [11,22,23,24]. In addition, universities can contribute to environmental sustainability through science tourism by creating favorable attitudes towards nature, adjusting tourist behavior to some extent, and forming sustainable tourist destinations [25,26].
Higher education institutions foster relations between tourists and local communities and promote inclusiveness in higher [27].
The use of social networks by universities is also becoming one of the relevant factors in the development of educational tourism, as they act as the most important communication aspect of promotion and creation of a favorable image [28,29,30].

2.3. Digitalization and Smartification of Educational Tourism

In the conditions of the Fourth Industrial Revolution (Industry 4.0), digitalization and smartification of educational tourism are considered promising directions of development, as modern information and communication technologies represented by the Internet of Things, big data, blockchain, virtualization, etc., allow the development of new-format tourism products with active involvement and learning using interactive solutions [31,32].
It is important to highlight digital technologies’ characteristics, such as flexibility, adaptability, and customization, to meet the needs of educational market participants. These characteristics contribute to their more effective use by university students and teachers [33,34,35,36].
At the same time, it is worth noting a pool of publications, among which are works [37,38] dedicated to integrating digital technologies with the main processes of professional training of future tourism professionals. Taken together, these studies highlight the potential of digitalization to improve the quality and relevance of educational tourism and the importance of digital literacy and competence of learners [39,40,41,42].
Also in the scientific literature in recent years, special attention has been paid to the development of educational itineraries and audio guides with their subsequent placement on a variety of platforms, including izi.Travel, YouTravel.Me, GetYourGuide, WeGoTrip, Travelry and others [43,44,45].

2.4. Specifics of Educational Tourism Potential Assessment: Main Approaches and Methods

A number of scientific publications have explored the potential of educational tourism. For example, Hale (2019) used GIS to analyze the environmental and social impacts of educational tourism programs implemented in universities, highlighting the need for sustainable travel behavior [46]. McGladdery (2017) proposed a new model of educational tourism, emphasizing its high potential for hybridization with other types of tourism and outlining its advantages [47].
Attaalla (2020) assessed the role of educational tourism in Egypt, identifying the need for joint academic programs with tourism companies [48]. Hussein (2022) developed a demand model for educational tourism by identifying per capita income, the price of the finished tourism product, the prices of competitor countries and the quality of services provided by universities as key factors [49].
It is also important to note that in many works, educational tourism is considered either as an independent component or as a part of the tourism and recreational potential when assessing it; however, there is still no unified scientific approach that can be fully used to carry out the assessment [50,51,52,53,54,55].

3. Methodology

The research conducted in the article was built on the solution of 3 key research questions, which allowed to achieve the main objective related to the development of theoretical and methodological–practical foundations of the formation of the matrix of the attractiveness of tourist objects on the example of the regions of Kazakhstan and determining its role in the process of implementation of educational tourism in the system of education of higher school students.
In this regard, the research methodology included 3 main stages:
  • Grouping the regions of the Republic of Kazakhstan by the level of educational tourism development based on hierarchical cluster analysis in the context of the selected statistical parameters;
  • Formation of the criterion base (allocation of groups of criteria and sub-criteria in each group) and the matrix of assessment of tourist objects of the region from the position of educational tourism development; their testing on the example of tourist objects in the context of the regions of the Republic of Kazakhstan, previously assessed based on statistical criteria;
  • Development of a SMART audio guide “Tourist objects of Karaganda city” as a conceptual complementary component of the system of implementation of educational tourism in the learning environment of higher school students.

3.1. Main Stages of Cluster Analysis of Regions from the Position of Educational Tourism Development

For cluster analysis within the framework of this research paper, all indicators were divided into 3 blocks: the first—indicators characterizing the level of education development in the context of 17 regions and 3 cities of republican significance of the Republic of Kazakhstan (10; CED_1-CED_10); the second—indicators reflecting the cultural development of the country’s regions (46; CDC_1-CDC_46); the third—parameters showing the level of development of tourism activities in the regions of Kazakhstan (3; TDC_-TDC_3). In total, data on 59 parameters were obtained for the analysis (Appendix A). The choice of parameters was conditioned by the expert judgement of the team of specialists-researchers implementing the grant project AP14871422 “Development of the model of implementation of educational tourism in the system of education of higher school students: theory, methodology, practice”, financed by the Committee of Science of the Ministry of Science and Higher Education of the Republic of Kazakhstan.
It should also be noted that there are limitations associated with the lack of official data, fully and in detail characterizing the development of the tourism market in Kazakhstan; in this regard, only 3 indicators were selected for analysis: the number of accommodation facilities, the number of rooms in accommodation facilities and one-time capacity (beds) of accommodation facilities.
Further, standardized values were obtained, which formed the basis for conducting a hierarchical cluster analysis using Stata 18 software.
The following advantages determined the choice of hierarchical cluster analysis: it is a fairly flexible clustering method that provides ample opportunities for subsequent data visualization (using dendrogram construction), as well as adaptation to research tasks and data structures; flexibility in choosing similarity and unification metrics (in our case, this is the Euclidean distance); no need to restart the clustering process when changing the number of clusters; the ability to detect nested clusters, which can be useful if the clusters are divided into subgroups.
The final breakdown resulted in three clusters: the first one united 17 regions and 1 city of republican importance—Shymkent; the second one was represented by the city of Astana; and the third one by the city of Almaty.

3.2. Formation of Groups of Criteria and Sub-Criteria for Evaluation of Tourist Objects of the Regions, as well as a Matrix from the Position of Their Attractiveness for the Development of Educational Tourism

Groups of criteria by the expert group (consisting of members of the research team, representatives of tourism business, tourism specialists, and senior students of the Karaganda Buketov University, specialty “Tourism”); the period of expert evaluation was January-March 2024, the total number of experts who participated in the assessment was 37 people), and the educational component (Ed), infrastructural component (Infr), accessibility and safety (AvSec), communication and marketing component (CommMark), natural and cultural–historical component (NatCaH), component related to issues of sustainable development of territories (SustDev) were identified. Each group included 8, 7, 12, 7, 11, and 8 sub-criteria for evaluation. Next, a conceptual evaluation matrix (considering the highlighted evaluation criteria) was developed, presented in Figure 1.
Figure 1. Conceptual matrix of assessment of objects from the position of educational tourism development. Note—developed by the authors.
It is important to note that this matrix is not limited to the number of potential tourism sites that can be included for evaluation, nor to the criteria, the list of which can be extended by the researcher at his/her discretion within the framework of the analysis. In our case, 6 criteria and 53 sub-criteria were identified and analyzed.
The mean scores obtained from all experts in the context of the selected sub-criterion (Subcrn) are denoted as L. It should also be noted that the weight of the main criteria (CrWeightn) for calculating the integral value for each region is also determined based on expert judgment. It should also be noted that TO stands for tourist attraction/tourist object, and R stands for the region where the assessment is made.
The overall integral indicator for the region (IntValuer) is calculated by means of an arithmetic weighted average based on the average score obtained in the context of all groups of criteria (Crn)—Formulas (1)–(3):
I n t V a l u e r = C r 1 C r W e i g h t 1 + C r 2 C r W e i g h t 2 + C r i C r W e i g h t i n ,
C r 1 = S u b c r 1 + S u b c r 2 + S u b c r i n ,
C r W e i g h t s u m = 1 ,
where n—number of observations, sum—sum of all indicators of weighting of values under the main evaluation criteria, i—number of sub-criteria.
The final integral value is obtained by calculating the average indicator based on the calculations performed for all regions.

3.3. Development of SMART Audio Guide as a Conceptual Complementary Component of the System of Implementation of Educational Tourism in the Learning Environment of Higher Education Students

The main stages of audio guide creation included the following:
  • Defining the topics: relevant, interesting and useful for the educational process within the framework of implementation of the main provisions of the concept of student-centered learning, including those focused on taking into account the research interests of students;
  • Development of the excursion plan with the definition of the objects of demonstration and their distribution on the map (preliminary routing);
  • Defining the type of the route and calculating its length;
  • Formation of the description of each object in 3 languages: Kazakh, Russian, and English; the choice of these three languages is conditioned by the fact that students’ education in the region’s universities is conducted in 2 languages (Kazakh, Russian), and also there are specialties where training is conducted within the framework of polylingual education, i.e., in 3 languages (for example, the specialty “Tourism” (bachelor’s degree) on the basis of the Karaganda Buketov University); therefore, for convenience and maximum coverage of listeners, development of language competences of students it was accepted;
  • Creation of an actual pool of photographic materials of the objects (by members of the research team using professional photographic equipment);
  • Recording audio tracks in 3 languages for each object;
  • Uploading the audio guide to the izi.Travel platform;
  • Preparation of QR codes for quick access to the audio guide;
  • Dissemination of information about the audio guide by publishing information in social networks, on the official website of the University, etc.
It is important to note that the translation of the material into Kazakh was carried out by members of the research team—native speakers, and into English—by teachers who teach students within the framework of multilingual training and have a certificate of language training—IELTS with a level not lower than B2.

4. Results

4.1. RQ1: What Parameters Characterizing the Development of Educational Tourism Can Be Used for Cluster Analysis, as Well as Influence the Results of Grouping the Regions of Kazakhstan?

Table 1 shows the stages of clustering of regions it reflects values such as steps, number of clusters, level of similarity, distance, clusters that emerged during the clustering process and new clusters obtained in the final step.
Table 1. Amalgamation steps.
Further, Table 2 shows the final result of the division of regions into three clusters, where the first one combines 17 regions of Kazakhstan and 1 city of republican significance, and the next two are represented only by the cities of Almaty and Astana, respectively.
Table 2. Final partition.
Table 3 shows the distances between the centroids of the three obtained clusters.
Table 3. Distances between cluster centroids.
Table 3 shows the distances between the centroids of the three clusters identified in the hierarchical cluster analysis. It reflects how strongly the groups of objects within the clusters differ regarding the selected evaluation criteria: smaller values mean the clusters are closer. Larger values mean that they are more distant.
Figure 2 graphically displays the result of the final division of Kazakhstan regions into three clusters. The first one (blue color) unites 17 regions and one city of republican significance: Abay, Akmola, Aktobe, Almaty, Atyrau, West Kazakhstan, Zhambyl, Zhetisu, Karaganda, Kostanay, Kyzylorda, Mangistau, Pavlodar, North Kazakhstan, Turkestan, Ulytau, East Kazakhstan regions and the city of Shymkent; the second (red) is represented by the city of Astana, the third (green)—by the city of Almaty, characterizing the similarity of the regions included in each of them by the level of educational tourism development in the context of 59 selected criteria.
Figure 2. Dendrogram reflecting the results of cluster analysis of the regions of the Republic of Kazakhstan by the level of educational tourism development. Note—obtained by the authors based on the results of the cluster analysis.
Thus, the obtained division—three clusters—gives a clear idea of the similarity of the regions in terms of the 59 parameters identified by the authors, divided into three blocks. The results of this cluster analysis can be useful for the development of state and regional programs, where special emphasis should be placed on intensifying efforts to develop educational tourism, defining its role, as well as its implementation in the educational process of higher education, regardless of the type and type of educational programs and learning paths; however, such activities should be directly related to ensuring the quality of the educational process, as well as to the implementation of the basic principles of student-centered learning.

4.2. RQ2: What Criteria and Sub-Criteria Can the Matrix of Assessment of Tourist Objects of the Region from the Position of Educational Tourism Development Include?

The conclusions obtained in the framework of cluster analysis allow us to form a matrix (discussed in the “Methods” section), highlighting the necessary criteria and sub-criteria, and then apply it to carry out an assessment of tourist sites in the regions of Kazakhstan from the position of educational tourism development (Table 4).
Table 4. Criteria and sub-criteria of the matrix of assessment of tourist objects of the region from the position of educational tourism development.
The considered matrix was tested on the example of a number of tourist sites (Table 5), which are of particular interest in terms of their potential for the development of educational tourism, in the context of five regions of the country: Central, Southern, Northern, Eastern and Western Kazakhstan.
Table 5. List of tourist sites in Central, South, North, East and West Kazakhstan, included in the assessment from the position of attractiveness and applicability for educational tourism development.
Another important aspect of the assessment is that in the study the term “tourist destination” can be understood as a group of sites located in the same territory, as well as, in general, a tourist destination. In addition, educational institutions were not considered as individual objects, as the assessment was more quantitative in terms of sub-criterion 2.5 of parameter 2.
For the analysis, 10 objects of show and tell of Central, Southern, Northern, Western and Eastern Kazakhstan were selected each, which have the greatest impact on the formation of tourist interest.
Evaluation within the identified criteria and sub-criteria framework was carried out on a 10-point scale, where 1 is the minimum and 10 is the maximum score.
It is important to note that the experts determined the weight of each criterion:
  • Educational component (Ed)—0.25;
  • Infrastructural component (Infr)—0.2;
  • Accessibility and security (AvSec)—0.1;
  • Communication and marketing component (CommMark)—0.1;
  • Natural and cultural–historical component (NatCaH)—0.25;
  • Component related to sustainable development of territories (SustDev)—0.1.
Table 6 presents the results of calculating the integral indicators of the regions, as well as the calculated values regarding weighting in the context of the highlighted groups of assessment criteria.
Table 6. Results of assessment of tourist objects of Central, Southern, Northern, Western and Eastern Kazakhstan from the position of educational tourism development.
According to the results obtained, the final integral scores were distributed as follows: South Kazakhstan—7.53; North Kazakhstan—6.65; Central Kazakhstan—6.3; West Kazakhstan—6.04; East Kazakhstan—5.94. It is important to highlight the TOP-3 objects in the context of all regions that scored the highest (Table 7).
Table 7. Tourist objects of Central, Southern, Northern, Western and Eastern Kazakhstan, which scored the highest number of expert points in terms of their attractiveness for the development of educational tourism.
It is essential to note that the difference of 1–2 points may indicate slight differences in the attractiveness of the objects; this may be due, for example, to minor characteristics that do not critically affect the overall perception of the tourist object/tourist destination; in turn, the difference of 3–4 points may indicate more noticeable differences, including, for example, different levels of development of transport infrastructure, the presence of additional related services, etc., which make one object more attractive to tourists; finally, differences between objects of 5 or more points may mean that one object significantly surpasses the other in the primary evaluation criteria, and this object should perhaps be recommended first.
Understanding the difference in the points obtained because of the assessment can help tourists make more informed decisions when choosing objects to visit; at the same time, for key participants in the tourism market, this can signal the need to improve the quality of services or infrastructure.
In general, each point represents a certain set of characteristics; the value may vary depending on the context: for example, for some tourists, the provision of sanitary conditions at the facility is more important, while for others, the presence of entertainment infrastructure and facilities is more important. This makes each point significant depending on the target audience’s preferences.
It is obvious that each of the presented objects can form a sustainable tourist interest and have a significant impact on the development of educational tourism in the region.
Based on the obtained average expert evaluations, it is also important to trace the minimum, maximum and average evaluations in the context of the studied groups of evaluation factors (Figure 3a–f).
Figure 3. Variability of expert evaluations in the context of the studied groups of evaluation factors. Note—compiled by the authors based on the results of the research. (a) Educational component (Ed); (b) Infrastructure component (Infr); (c) Availability and security (AvSec); (d) Communication and marketing component (CommMark); (e) Natural and cultural-historical component (NatCaH); (f) Component related to issues of sustainable development of territories (SustDev).
The figures show that the following groups of evaluation criteria received maximum scores: natural and cultural–historical component (8.4 points), educational component (7.6 points), and accessibility and safety (7.4 points). The other groups of analyzed criteria range from 6.8 to 7.2 points. In general, this once again confirms the importance of natural-climatic, cultural–historical and educational resources for the development of educational tourism in Kazakhstan. Marketing and communication aspects took the last place due to the fact that experts do not consider these factors as paramount, noting that they will only start working after a quality competitive educational product is created, requiring further communication with potential customers and promotion both in the domestic and foreign markets.

4.3. RQ3: How the Scores Obtained, as Presented in the Matrix, Can Be Used in the Construction of Route Threads and the Creation of SMART Audio Guides?

Assessments of the objects obtained in the framework of matrix analysis of criteria and sub-criteria influence the formation of threads of excursion educational routes and the inclusion of certain objects of show and tell in their composition.
Further, the authors developed the SMART audio guide “Tourist objects of Karaganda city” as a conceptual complementary component of the system of implementation of educational tourism in the learning environment of higher school students. It is important to note that this development is a practical example of combining various tourist sites into a single route. Such smart audio guides can be created and scaled up depending on educational goals, areas of training, nature and type of tourist destinations, etc.
The SMART component of the proposed route consists of creating not just a thread of the route with a set of objects, but also developing a description of each of them (Table 8), creating audio tracks in three languages (Kazakh, Russian and English) and subsequent uploading to the izi.Travel platform.
Table 8. Brief description of the objects included in the route “Tourist Objects of Karaganda city”.
Proposed route: Cosmonautics Monument—Abylkas Saginov Karaganda Technical University—Karaganda Medical University—Eternal Flame Memorial Ensemble of Military Glory—Monument “Where-Where? In Karaganda!”—Monument to Nurken Abdirov—Karaganda Buketov University—Karaganda University of Kazpotrebsoyuz—Central Park of Culture and Recreation of Karaganda—Monument “Miners’ Glory”.
Total length—29 km; route type—vehicular; average duration—1 h 5 min (Figure 4).
Figure 4. Thread of the route “Tourist objects of Karaganda city”, plotted using 2GIS * maps. Note—developed by the authors. * Numbered dots indicate route objects.
This developed route and its audio-visual content were successfully posted in three languages on the izi.Travel platform: https://izi.travel/en/browse/7f369ba5-3117-4db2-a6cb-4f82c38765ae/kk (in Kazakh, accessed on 14 September 2024), https://izi.travel/en/browse/7f369ba5-3117-4db2-a6cb-4f82c38765ae (in English, accessed on 14 September 2024), https://izi.travel/ru/browse/7f369ba5-3117-4db2-a6cb-4f82c38765ae (in Russian, accessed on 14 September 2024).

5. Discussion

In the scientific literature, there is still no unified approach to the concept and essence of educational tourism, as well as different criteria by which it could be classified; however, the diversity of approaches allows us to study this economic category in a sufficiently capacious way and to identify promising directions of its development. It is important to note the interdisciplinarity inherent in educational tourism, which makes it possible to identify its advantages for the implementation of student-centered learning, to develop the outlook and cognitive abilities of higher education students, and to use the existing tourist and recreational potential of the regions to form competitive tourist products and develop routes of a new formation, including a variety of educational components.
The following can be highlighted as limitations: (1) the cluster analysis did not take into account some factors (due to their absence in the official statistics), especially in terms of research into the development of the tourism industry; (2) a limited number of studied tourist and recreational objects, (10 in the context of each of the regions of Kazakhstan), however, given the universality and adaptability of the proposed author’s methodology, this problem can be solved by expanding and adding the necessary objects.
Further research of the authors will be aimed at studying the possibilities of implementation of educational tourism in the system of education of students of higher education in Kazakhstan, including through the development of effective programs of the Summer School (with elements and components of educational tourism), aimed at both domestic and foreign students.

6. Conclusions

The conducted research allows us to draw the following conclusions:
  • On the basis of cluster analysis, three clusters were obtained (the first (blue) uniting 18 regions: Abay, Akmola, Aktobe, Almaty, Atyrau, West Kazakhstan, Zhambyl, Zhetisu, Karaganda, Kostanay, Kyzylorda, Mangistau, Pavlodar, North Kazakhstan, Turkestan, Ulytau, East Kazakhstan regions and the city of Shymkent; the second (red), represented by the city of Astana, the third (green)—the city of Almaty), which can be useful for the development of republican and regional programs. The second (red) is represented by the city of Astana and the third (green) by the city of Almaty, which can be useful in the development of national and regional programs for the development of educational tourism, as well as in the implementation of the main provisions of student-centered learning by educational institutions;
  • In total, 6 groups of criteria and 53 sub-criteria of the matrix of evaluation of tourist objects of the region from the position of development of educational tourism, which were tested for the evaluation of 50 tourist objects of five regions of Kazakhstan: Northern, Southern, Western, Eastern and Central;
  • On the basis of the conducted assessment, the SMART audio guide “Tourist objects of Karaganda city” was developed, which will find its wide application among educational institutions of the region, as well as among domestic and foreign tourists and excursionists; this audio guide is a kind of example of implementation of educational tourism in the system of education of higher school students, as it will be applied in the training of specialists of specialties “Tourism”, “Restaurant and hotel business”, “Marketing and SMM”, “Logistics”.
The obtained results of the study have a pronounced practical focus; in particular:
  • Government agencies can use them in developing regional and national tourism development programs (including roadmaps) with the identification of groups of regions (based on the results of cluster analysis) that are the most promising for the development of the tourism industry and individual types of tourism, including educational tourism, interest in which can be generated in the process of student-centered learning;
  • The formed criteria base for assessing the attractiveness of objects from the standpoint of educational tourism will allow key actors in the tourism market to form competitive educational tourism products for both the domestic and international markets, thereby popularizing domestic tourist destinations and creating a favorable tourist image of the country, since Kazakhstan has a high tourism and recreational potential; in addition, the presented assessment methodology will enable foreign researchers to conduct an effective analysis of the level of attractiveness of tourist sites in their country, supplementing it with new parameters, or removing those that are not significant in a specific assessment context;
  • The developed attractiveness matrix will also allow the selection of those tourist sites that may be interesting from the perspective of educational tourism development and include them in the development of smart audio guides with subsequent posting on various platforms (for example, on izi.Travel, YouTravel.Me, GetYourGuide, etc.) for free use; the article shows an example of developing an audio guide in the industrial city of Central Kazakhstan—Karaganda, where it is trendy among schoolchildren, students, and postgraduate students, as it allows developing critical thinking skills, independent research, skills in working with modern information and communication technologies, as well as communication skills.

Author Contributions

Both authors contributed to the conception, conceptualization, and creation of the methodology of the study and the data analysis reported in this article. All authors have read and agreed to the published version of the manuscript.

Funding

This research has been/was/is funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grant No. AP14871422).

Institutional Review Board Statement

Not applicable

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest.

Appendix A

Table A1. Indicators characterizing the development of educational tourism in the context of regions of the Republic of Kazakhstan for 2022 * (Block 1).
Table A1. Indicators characterizing the development of educational tourism in the context of regions of the Republic of Kazakhstan for 2022 * (Block 1).
Region/AreaBlock 1—Set of Indicators Characterizing the Level of Education Development in the Republic of Kazakhstan: CED_1–CED_10
1.1 Number of Organizations of Higher and/or Postgraduate Education, Units (CED_1)1.2 Number of Students in Organizations of Higher and (or) Postgraduate Education, People (CED_2)1.3 Share of Foreign Students in Organizations of Higher and/or Postgraduate Education, % (CED_3)1.4 Number of Master’s Students, Persons (CED_4)1.5 Residency Trainees, Persons (CED_5)1.6 Number of Doctoral Students, Persons (CED_6)1.7 Number of Teaching Staff by Degree and Title in Organizations of Higher and (or) Postgraduate Education (Candidates of Sciences, Doctors of Sciences), Persons (CED_7)1.8 Material and Technical Base in Organizations of Higher and (or) Postgraduate Education: Number of Computers Used in the Educational Process, Units (CED_8)1.9 Indicators of Financial and Economic Activity of Educational Organizations: Transfers Received for Capital Expenditures, Thousand Tenge (CED_9)1.10. Volume of Services Provided by Educational Organizations, Thousand Tenge (CED_10)
Abay region318,3166.4146763514040229651,331,617-
Akmola region410,9083.0525-302551258713,204541,601
Aktobe region622,7743.09436028444542982,935,3771,742,715
Almaty region173030.5544-6844600795,1731,740,279
Atyrau region310,1171.8414-61358941,195,38410,665,169
West Kazakhstan region425,4270.5681-124302332733,1303,085,844
Zhambyl region219,6323.31120-383546072,181,064354,705
Zhetisu region144000.4391-549911002,651,498-
Karaganda region838,0794.81486737390102981974,179,9603,875,187
Kostanai region617,1431.3433-7636433361,913,852967,176
Kyzylorda region314,2760.2775-383131782293,638571,561
Mangistau region167447.0432-21821133165,6931,363,893
Pavlodar region414,5861.81062-9538712941,122,805964,758
North Kazakhstan region265495.8221-181192201379,078459,021
Turkestan region310,0429.03741575733915077,488,325415,418
Ulytau region113100.116--243241302,072-
East Kazakhstan region315,0511.01279-12028016331,085,8471,496,345
Astana city1467,2112.9647914681787177713,99136,436,18128,118,137
Almaty city39177,5684.511,97322212857493826,1822,832,14918,823,574
Shymkent city890,8015.749453352651296648712,091,8622,703,687
* data are presented for January–December 2023.
Table A2. Indicators characterizing the development of educational tourism in the context of regions of the Republic of Kazakhstan for 2022 * (Block 2).
Table A2. Indicators characterizing the development of educational tourism in the context of regions of the Republic of Kazakhstan for 2022 * (Block 2).
Block 2—Set of Indicators Characterizing Cultural Development of the Regions of the Republic of Kazakhstan: CDC_1–CDC_46
Region/AreaBlock 2—Set of Indicators Characterizing Cultural Development of the Regions of the Republic of Kazakhstan: CDC_1–CDC_11
2.1 Number of libraries, units (CDC_1)2.2 Number of cultural events held in the library, units (CDC_2)2.3 Number of visits to cultural events in the library, units (CDC_3)2.4 Number of historical museums (CDC_4)2.5 Number of local history museums (CDC_5)2.6 Number of memorial museums (CDC_6)2.7 Number of science museums (CDC_7)2.8 Number of art museums (CDC_8)2.9 Number of protected museums (CDC_9)2.10 Number of museums of other type (CDC_10)2.11. Number of visitors to museums, thousand people (CDC_11)
Abay region1374787200,093151-11-229.4
Akmola region34321,0431,120,929-1021--3214.5
Aktobe region23610,526348,8622126----321.3
Almaty region14313,179602,006216--2593.6
Atyrau region1398160203,093110---1-73.4
West Kazakhstan region36013,394276,225395111-101.0
Zhambyl region27513,467326,483385--1-167.6
Zhetisu region14717,299216,008414-1-350.8
Karaganda region25526,590225,8443111-1--420.9
Kostanai region34015,278269,563243----353.6
Kyzylorda region2099725233,965284----138.2
Mangistau region693785302,382-52----83.7
Pavlodar region22910,589220,043-54-1-2345.5
North Kazakhstan region31817,382432,290245-11-142.2
Turkestan region39813,687276,8784125-1321285.8
Ulytau region55152745,01532---1-141.5
East Kazakhstan region17015,042447,46324--12-575.1
Astana city234088206,4452-4--1-890.4
Almaty city3446,357320,6147-612-4571.5
Shymkent city441840351,67741-----55.9
Region/AreaBlock 2—Set of Indicators Characterizing Cultural Development of the Regions of the Republic of Kazakhstan: CDC_12–CDC_23
2.12. Number of exhibits of the main collection in museums, units (CDC_12)2.13. Number of exhibitions held by museums abroad (CDC_13)2.14. Number of exhibitions held in museums (CDC_14)2.15. Number of theatres, units (CDC_15)2.16. Number of opera and ballet theatres, units (CDC_16)2.17. Number of drama theatres, units (CDC_17)2.18. Number of musical comedy theatres, units (CDC_18)2.19. Number of theatres for young spectators and puppets (CDC_19)2.20. Number of events held by theatres, units (CDC_20)2.21. Number of spectators at events held by theatres, persons (CDC_21)2.22. Number of new productions in the reporting year, units (CDC_22)2.23. Number of performances (theatre repertoire) in the reporting year, units (CDC_23)
Abay region130,326-1401-1--438104,6961576
Akmola region131,658-3072-2--77099,3512283
Aktobe region97,258-6882-1-1812138,2641286
Almaty region19,05622012---2881280x31
Atyrau region86,321-1201-1--12732,069450
West Kazakhstan region101,861-2032-2--41774,9019113
Zhambyl region119,346-3502-2--54379,5801273
Zhetisu region25,405-191--x--10424,912xx
Karaganda region232,574-5674-2111643275,99730243
Kostanai region210,15425554-2-21055112,15222132
Kyzylorda region95,228-4711-1--27673,324434
Mangistau region49,0221622-1-142865,9501182
Pavlodar region173,48314453-2--41291,7001287
North Kazakhstan region171,24421803-2-151750,7541673
Turkestan region144,91244893-3--38754,3431769
Ulytau region73,813-138-----30546,785xx
East Kazakhstan region253,93224451-1--34474,9341166
Astana city136,445-165923-22307520,78133257
Almaty city369,48151982419263992766,90167446
Shymkent city27,739-45613111563282,87928206
Region/AreaBlock 2—Set of Indicators Characterizing Cultural Development of the Regions of the Republic of Kazakhstan: CDC_24–CDC_35
2.24. Number of circuses, units (CDC_24)2.25. Number of events held in circuses, total, units (CDC_25)2.26. Number of spectators in circuses, persons (CDC_26)2.27. Number of cultural and leisure organizations, units (CDC_27)2.28. Number of cultural centers (palaces), units (CDC_28)2.29. Number of clubs, units (CDC_29)2.30. Number of Folk-Art Centers, units (CDC_30)2.31. Number of other cultural and leisure organizations, units (CDC_31)2.32. Number of seats in auditoriums of cultural and leisure organizations, units (CDC_32)2.33. Number of cultural events held, units (CDC_33)2.34. Number of spectators at the events held, persons (CDC_34)2.35. Number of concert organizations, units (CDC_35)
Abay region---1243193--18,6526020841,4891
Akmola region---260111146-241,77732,1733,944,3011
Aktobe region---202551451134,73612,6171,989,5321
Almaty region---1198138--25,14597241,237,1122
Atyrau region---8252291-14,61255571,216,9552
West Kazakhstan region---2701251401440,88214,3622,144,1593
Zhambyl region---03721245234,63284561,024,1292
Zhetisu region---13496353-30,48714,3431,158,6322
Karaganda region---24270132-4034,93518,3341,879,6911
Kostanai region---30107120-226,73518,2702,772,7791
Kyzylorda region---174551151328,83077071,037,7441
Mangistau region---4329131-930523211,135,9351
Pavlodar region---26711913231338,24614,7732,242,6171
North Kazakhstan region---238839725634,11714,977869,5531
Turkestan region---255112143--47,54010,3961,357,3141
Ulytau region---429301269462434462,4601
East Kazakhstan region---17251115-627,08412,7291,937,2011
Astana city173100,25411---2579394214,1596
Almaty city1119161,15011---15063180013
Shymkent city16848,8991055--1665344312,8481
Region/AreaBlock 2—Set of Indicators Characterizing Cultural Development of the Regions of the Republic of Kazakhstan: CDC_36–CDC_46
2.36. Number of events organized by concert organizations, units (CDC_36)2.37. Number of spectators at events organized by concert organizations, units (CDC_37)2.38. Number of parks, units (CDC_38)2.39. Number of cinematographic organizations engaged in film exhibition, units (CDC_39)2.40. Number of cinema screens in cinemas, units (CDC_40)2.41. Number of seats in cinema halls, units (CDC_41)2.42. Number of zoos, units (CDC_42)2.43. Total area of zoos, ha (CDC_43)2.44. Number of visitors to zoos, persons (CDC_44)2.45. Number of conducted excursions in zoos, units (CDC_45)2.46. Number of organised exhibitions in zoos. Units (CDC_46)
Abay region8222,009747970198.77070804410
Akmola region23036,081445780-----
Aktobe region342227,10012381378-----
Almaty region18780,870163101390-----
Atyrau region20048,1551387785-----
West Kazakhstan region21394,9751011141809-----
Zhambyl region28442,2501415203887-----
Zhetisu region20056,200227801-----
Karaganda region972139,453185142314143.5134,5081771
Kostanai region215174,500103121405-----
Kyzylorda region32462,95312111290-----
Mangistau region27053,00097161866- ---
Pavlodar region23690,565-5162428-----
North Kazakhstan region19460,589471318031-5000--
Turkestan region214802266111440-----
Ulytau region17641,52427xxx-----
East Kazakhstan region143174,0003318267623.794,18615003
Astana city911733,15368638405-----
Almaty city840725,370222013516,871321.2968,933206-
Shymkent city20250,500216303345130.1343,0241306
* data are presented for January–December 2023.
Table A3. Indicators characterizing the development of educational tourism in the context of regions of the Republic of Kazakhstan for 2022 * (Block 3).
Table A3. Indicators characterizing the development of educational tourism in the context of regions of the Republic of Kazakhstan for 2022 * (Block 3).
Region/AreaBlock 3—Indicators Characterizing the Development of the Tourism Industry by Regions of the Republic of Kazakhstan: TDC_1–TDC_3
3.1 Number of Accommodations * (TDC_1)3.2 Number of Rooms in Accommodation * (TDC_2)3.3 One-Time Capacity (Beds) of Accommodation (TDC_3)
Abay region325667517,379
Akmola region339558414,577
Aktobe region10022055751
Almaty region261523415,375
Atyrau region12840516700
West Kazakhstan region9224304812
Zhambyl region22526257048
Zhetisu region311601316,189
Karaganda region245442512,248
Kostanai region13221115579
Kyzylorda region15017694195
Mangistau region10140668148
Pavlodar region12431148402
North Kazakhstan region12319986231
Turkestan region22031009123
Ulytau region25276489
East Kazakhstan region334570420,058
Astana city257943917,581
Almaty city35411,38821,813
Shymkent city14633056058
Note—compiled by the authors according to the Bureau of National Statistics of the Agency for Strategic Planning and Reforms of the Republic of Kazakhstan (Blocks 1–3). * data are presented for January–December 2023.

References

  1. Educational Tourism Market Size, Share & Growth Report 2030. Available online: https://www.grandviewresearch.com/industry-analysis/educational-tourism-market-report (accessed on 13 June 2024).
  2. Educational Tourism Market Size & Share—Industry Growth|2031. Available online: https://www.skyquestt.com/report/educational-tourism-market# (accessed on 13 June 2024).
  3. Husin, A.; Maharani, S.D.; Raharjo, M.; Yosef, Y.; Sumarni, S.; Handrianto, C. Prospects for Implementation of Green Campus in Education and Research Pillars at Edupark Fkip Unsri Become Edutourism. Int. J. Prof. Bus. Rev. 2023, 8, e01597. [Google Scholar] [CrossRef]
  4. Carrera, C.A.B.; Sarmiento, C.d.R.J.; del Valle, N.M.R.; Aguilar, J.M. Turismo Educativo, Creación e Implementación de un Modelo Educomunicacional. Caso: Cuarto Grado de Educación Básica, Unidad Educativa Particular la Asunción. Universidad-Verdad 2023, 1, 142–155. [Google Scholar] [CrossRef]
  5. Kurniawan, A. Tourism-based Cultural Education. J. Tour. Creativity 2023, 7, 1–7. [Google Scholar] [CrossRef]
  6. Aleksіeіenko-Lemovska, L. Organization Principles of Tourist Activities in Education Institutions: Active Approach. Sci. J. Pol. Univ. 2022, 52, 14–20. [Google Scholar] [CrossRef]
  7. Kravchenko, T.; Danylko, V. Сharacteristics of socialization of ilder adolescents in the process of tourist activities. Sci. J. Natl. Pedagog. Dragomanov Univ. Ser. 15 Sci. Pedagog. Probl. Phys. Cult. (Phys. Cult. Sports) 2023, 3, 206–211. [Google Scholar] [CrossRef]
  8. Yen, T.-F.; Zhang, Q.; Zhang, Y. The Nature of Educational Tourism: The Aspects of Means-end Chain Approach. Asian J. Educ. Soc. Stud. 2021, 17, 1–16. [Google Scholar] [CrossRef]
  9. Gabdrakhmanova, G.F. The University and City Images for Migration of Nonresident Students: A Regional Case. Vysshee Obraz. Ross. High. Educ. Russ. 2023, 32, 116–138. [Google Scholar] [CrossRef]
  10. Pinto, M.J.A.; Moscardi, E.H.; Gomes, E.L.; Nakatani, M.S.M. The Touristudent. J. Int. Stud. 2021, 11, 60–80. [Google Scholar] [CrossRef]
  11. Suciu, M.-C.; Savastano, M.; Stativă, G.-A.; Gorelova, I. Educational Tourism and Local Development. Cactus 2022, 4, 18–26. [Google Scholar] [CrossRef]
  12. Franco, N.T.; Sánchez, J.E.O.; López, E.R. Educational tourism. J. Adm. Sci. 2022, 4, 26–31. [Google Scholar] [CrossRef]
  13. Priyanto, Y.A.U.; Andrianto, T. Long-term Impacts of Tourism Student Exchange Program. J. Tour. Sustain. 2022, 2, 11–18. [Google Scholar] [CrossRef]
  14. Hu, C.; Cheng, W. The Mission and Development Path of Online Education in Post-pandemic Era. In Proceedings of the 5th International Conference on Big Data and Education, Shanghai, China, 26–28 February 2022; pp. 133–140. [Google Scholar]
  15. Renz, A.; Hilbig, R. Digital Transformation of Educational Institutions Accelerated by COVID-19: A Digital Dynamic Capabilities Approach. In Beyond the Pandemic? Exploring the Impact of COVID-19 on Telecommunications and the Internet; Emerald Publishing Limited: Leeds, UK, 2023; pp. 103–119. [Google Scholar] [CrossRef]
  16. Shamsabadi, A.; Pashaei, A.; Rahmani, N.; Mahmoodabadi, A.D.; Norouzi, S.; Bahador, F.; SeyedAlinaghi, S.; Dadras, O.; Qaderi, K.; Mehraeen, E. Social Media Application in Education During the COVID-19 Pandemic; Pros and Cons: A Systematic Review. J. Iran. Med. Counc. 2023, 6, 389–400. [Google Scholar] [CrossRef]
  17. Zheng, Y. Impact of American Education System under the COVID-19 Pandemic Period. Lect. Notes Educ. Psychol. Public Media 2023, 7, 97–103. [Google Scholar] [CrossRef]
  18. Hariprasad, S.; Varghese, B. The Emerging Role of Innovative Teaching Practices in Tourism Education in the Post-COVID-19 Era; IGI Global: Hershey, PA, USA, 2023; pp. 286–299. [Google Scholar] [CrossRef]
  19. Zuccoli, A.; Korstanje, M.E. PANCOE: A Fresh Alternative to Post-COVID-19 Challenges in Education: The Case of Tourism Education. In Moving Higher Education Beyond COVID-19: Innovative and Technology-Enhanced Approaches to Teaching and Learning; Emerald Publishing Limited: Leeds, UK, 2023; pp. 53–63. [Google Scholar] [CrossRef]
  20. Mamrayeva, D.; Tashenova, L. Scientometric analysis of smart tourism using CiteSpace. Econ. Ann. 2022, 195, 13–25. [Google Scholar] [CrossRef]
  21. Tashenova, L.; Mamrayeva, D.; Borbasova, Z. Expert assessment and consumer preferences for the implementation of educational tourism in the learning system of universities students: The experience of Kazakhstan. Econ. Ann. 2023, 202, 108–126. [Google Scholar] [CrossRef]
  22. Bayanbayeva, A.; Makhmadinov, D.; Myrzatayev, N.; Niyetalina, G.; Narbayeva, G.; Suleimenova, S.; Altynbassov, B. The Transformational Role of Entrepreneurial Universities in Fostering Tourism Sector of Kazakhstan: Legal Documentary Analysis. J. Environ. Manag. Tour. 2023, 14, 2046–2055. [Google Scholar] [CrossRef]
  23. Dzhyndzhoian, V.; Botvinov, R.; Horb, K. The Role of State Institutions in the Promotion and Development of Educational Tourism in Ukraine. Sci. Opin. Econ. Manag. 2023, 1, 156–161. [Google Scholar] [CrossRef]
  24. Tomasi, S.; Paviotti, G.; Cavicchi, A. Educational Tourism and Local Development: The Role of Universities. Sustainability 2020, 12, 6766. [Google Scholar] [CrossRef]
  25. Räikkönen, J.; Rouhiainen, H.; Grénman, M.; Sääksjärvi, I.E. Advancing environmental sustainability through nature-based science tourism: The potential of universities. Matkailututkimus 2019, 15, 67–87. [Google Scholar] [CrossRef]
  26. Rinaldi, C.; Cavicchi, A.; Robinson, R.N.S. University contributions to co-creating sustainable tourism destinations. J. Sustain. Tour. 2022, 30, 2144–2166. [Google Scholar] [CrossRef]
  27. Barrientos-Báez, A.; Parra-López, E.; Martínez-González, J.A. Inclusivity in Higher Tourism Studies; IGI Global: Hershey, PA, USA, 2021; pp. 300–312. [Google Scholar] [CrossRef]
  28. Huang, L. Research on Mixed Education Teaching Reform in the Era of Internet plus. J. Theory Pract. Soc. Sci. 2024, 4, 1–6. [Google Scholar] [CrossRef] [PubMed]
  29. Iranmanesh, A.; Mousavi, S.A. Insights from the relationship between urban form, social media, and edu-tourism. Curr. Issues Tour. 2023, 26, 2559–2574. [Google Scholar] [CrossRef]
  30. Irfan, A.; Rasli, A.; Sami, A.; Liaquat, H. Role of Social Media in Promoting Education Tourism. Adv. Sci. Lett. 2017, 23, 8728–8731. [Google Scholar] [CrossRef]
  31. Balula, A.; Moreira, G.; Moreira, A.; Kastenholz, E.; Eusébio, C.; Breda, Z. Digital Transformation in Tourism Education. Tour. South. East. Eur. 2019, 5, 61–72. [Google Scholar] [CrossRef]
  32. Çınar, K. The Digital Revolution: Impact on Tourism Education. J. Tour. Gastron. Stud. 2020, 8, 2417–2443. [Google Scholar] [CrossRef]
  33. Gössling, S. Tourism, technology and ICT: A critical review of affordances and concessions. J. Sustain. Tour. 2021, 29, 733–750. [Google Scholar] [CrossRef]
  34. Indahyani, T.; Dewanti, N.R.; Meliana, S. Implementation of Digital Transformation in Design Education Learning to Support the Sustainability of Tourism Area. In Proceedings of the 2023 IEEE 9th International Conference on Computing, Engineering and Design (ICCED), Kuala Lumpur, Malaysia, 7–8 November 2023; pp. 1–6. [Google Scholar]
  35. Morellato, M. Digital Competence in Tourism Education: Cooperative-experiential Learning. J. Teach. Travel Tour. 2014, 14, 184–209. [Google Scholar] [CrossRef]
  36. Kumar, P.; Dubey, S.; Sahu, A.K. A Review on Smart and Intelligent Techniques for Digital Tourism. Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol. 2022, 8, 617–624. [Google Scholar] [CrossRef]
  37. Binytska, K. Features of Digitalization in the Process of Professional Training of Specialists in the Tourism Industry. Contin. Prof. Educ. Theory Pract. 2023, 75, 53–60. [Google Scholar] [CrossRef]
  38. Kallou, S.; Kikilia, A. A transformative educational framework in tourism higher education through digital technologies during the COVID-19 pandemic. Adv. Mob. Learn. Educ. Res. 2021, 1, 37–47. [Google Scholar] [CrossRef]
  39. Adiati, G. Digital Literacy in Post-Pandemic Project Based Learning at Sekolah Kembang Jakarta. WACANA J. Ilm. Ilmu Komun. 2023, 22, 1–10. [Google Scholar] [CrossRef]
  40. Jeon, J.Y.; Kim, J.M. Factors Affecting Digital Literacy of Specialized Vocational High School Students. Korean Soc. Study Vocat. Educ. 2023, 42, 53–72. [Google Scholar] [CrossRef]
  41. Sarva, E.; Lāma, G.; Oļesika, A.; Daniela, L.; Rubene, Z. Development of Education Field Student Digital Competences—Student and Stakeholders’ Perspective. Sustainability 2023, 15, 9895. [Google Scholar] [CrossRef]
  42. Sofian, S.R.A.; Subchan, W.; Yushardi, Y. Digital Literacy of Junior High School Students in Jember as an Indicator of Readiness in Facing the Society 5.0 Era in Science Learning. J. Penelit. Pendidik. IPA 2023, 9, 4078–4083. [Google Scholar] [CrossRef]
  43. Çilkin, R.E.; Toksöz, D. Reflections of Technological Developments on Tourist Guidance: Mobile Tourist Guide Applications. J. Tour. Gastron. Stud. 2024, 12, 445–455. [Google Scholar] [CrossRef]
  44. Lili, D.; Youlan, L. Research on Intelligent Tourism System of 5A-Level Tourist Attractions Based on Computer Big Data. In Proceedings of the 2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS), Dalian, China, 11–12 December 2022; pp. 962–965. [Google Scholar]
  45. Mahajan, A.; Maidullah, S.; Hossain, M.R. Experience Toward Smart Tour Guide Apps in Travelling; IGI Global: Hershey, PA, USA, 2022; pp. 255–273. [Google Scholar] [CrossRef]
  46. Hale, B.W. Understanding potential impacts from university-led educational travel. Int. J. Sustain. High. Educ. 2019, 20, 245–263. [Google Scholar] [CrossRef]
  47. McGladdery, C.A.; Lubbe, B.A. Rethinking educational tourism: Proposing a new model and future directions. Tour. Rev. 2017, 72, 319–329. [Google Scholar] [CrossRef]
  48. Attaalla, F.A.H. Educational Tourism as a Tool to Increase the Competitiveness of Education in Egypt: A Critical Study. Int. J. Tour. Hosp. Rev. 2020, 7, 58–65. [Google Scholar] [CrossRef]
  49. Hussein, S.H.; Kusairi, S.; Ismail, F. Modelling the demand for educational tourism: Do dynamic effect, university quality and competitor countries play a role? J. Tour. Futur. 2022. ahead-of-print. [Google Scholar] [CrossRef]
  50. Drebot, O.; Babikova, K.; Oliinyk, H. Fundamentals of development of tourist and recreational potential of regions. Balanced Nat. Using 2022, 1, 5–11. [Google Scholar] [CrossRef]
  51. Ivlieva, O.V.; Shmytkova, A.V.; Sukhov, R.I.; Kushnir, K.V.; Grigorenko, T.N. Assessing the tourist and recreational potential in the South of Russia. E3S Web Conf. 2020, 208, 05013. [Google Scholar] [CrossRef]
  52. Luo, Y.; Chen, Y.; Zheng, W. A Literature Review on Evaluating Tourism Destinations. In Proceedings of the ISME 2016—Information Science and Management Engineering IV, Wuhan, China, 29–30 December 2016; pp. 329–334. [Google Scholar] [CrossRef]
  53. Mamraeva, D.G.; Tashenova, L.V. Methodological Tools for Assessing the Region’s Tourist and Recreation Potentia. Econ. Reg. 2020, 16, 127–140. [Google Scholar] [CrossRef] [PubMed]
  54. Nenasheva, G.; Kozyreva, Y. Assessment of area tourist-recreational potential with honey palinological research. Ukr. J. Ecol. 2020, 10, 225–229. [Google Scholar] [CrossRef] [PubMed]
  55. Tanina, A.; Tashenova, L.; Konyshev, Y.; Mamrayeva, D.; Rodionov, D. The Tourist and Recreational Potential of Cross-Border Regions of Russia and Kazakhstan during the COVID-19 Pandemic: Estimation of the Current State and Possible Risks. Economies 2022, 10, 201. [Google Scholar] [CrossRef]
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