Purpose

The ever-changing technological advancement and the unprecedented challenges brought about by COVID-19 pandemics have highlighted the vulnerability of many economic sectors, casting doubts on what should we still learn and how should we learn. In coping with the challenges and evolutions, tourism educators have been deploying new or modifying existing pedagogies to adapt to the changes. Using a bibliometric analysis via Citespace, 847 hotel and tourism education articles related to pedagogy from year 2000 to 2022 from Web of Science were examined in this study. This study aims to identify the change of research facets of knowledge production in tourism pedagogies at different phases. Findings shed light on the change of tourism pedagogies as a reflection of addressing the tourism market and stakeholders’ needs. Five broad research themes were identified, including critical pedagogy, online learning, sustainability education, tourism action transformation and adaptability to changes. Research findings provide a systematic review of tourism pedagogies across the world.

Tourism education is critical to tourism and hospitality industry. Employers from the industry have been calling for the need that tourism educators should produce students that are capable of and adaptive in working in this ever-changing industry (Ahmad et al., 2018). McKercher et al. (2023) reported that soft skills capacity is equally important as hard skills and technical competencies. While classroom tutorials were important for tourism and hotel students to learn about the theories, increasing research has shown that the industry requires students to have hands-on experience too (Mei, 2019; Lehto et al., 2022; Kunwar, 2018). Kim and Davies (2014) proposed that the practice-oriented teaching method should help facilitate the actual teaching practices in tourism education. Internship has thus been adopted as an additional pedagogy in tourism education (Ogbeide et al., 2020). Arcodia and Dickson (2009) suggested that experiential-based education method can supplement the weaknesses of traditional teaching methods. Students will be able to actively learn from a quasi-real-life simulation that could help transform theories into practice.

Tourism pedagogy is reported as a fundamental reason affecting the quality of tourism education (Gao et al., 2021). Often it is shaped and reshaped according to the market’s needs (Fidgeon, 2010). While the industry-led tourism education model retains to be important and is believed to help reduce the possibility of having a mismatch between the educational outputs and the industry’s expectation (Lillo-Bañuls and Casado-Díaz, 2015). The need-based learning model is not without criticism. Such a learning model has been criticized for over-subjugating tourism students’ critical thinking, research capabilities (Slocum et al., 2019; Rhein, 2017; Novy and Colomb, 2019). The ensued educational outputs tend to be servient (Mínguez et al., 2021). Tight (2015) argued that the true purpose of higher education is to cultivate well-rounded, knowledgeable and thoughtful talents rather than to simply prepare students with the skills to serve. Belhassen and Caton (2011) corroborated that tourism education is responsible for and consequential to sustainable tourism development.

In other words, selecting a right combination of pedagogies is critical in influencing students’ capabilities, thus affecting the quality of educational outputs. Adopting appropriate and timely tourism pedagogies is thus regarded as a useful mechanism to stimulate students’ enthusiasm and participation in learning. It is also a way to transform theories into practice, to facilitate the growth of independent and critical thinking and to help develop students’ professional integrity and consciousness (Griffin, 2021; Menon et al., 2022; Ye and Law, 2021).

Bibliometric analyses have been adopted in many previous studies related to tourism and hospitality education (Menon et al., 2022) as well as in other academic disciplines (Li et al., 2023). While existing literature has shed light on various aspects and impacts of tourism education, there is a lack of examination on identifying the evolution of tourism pedagogies over time. For those previous studies that adopted bibliometric analyses, their main research objectives focused less on identifying the shifts in tourism pedagogy, in particular to track the changes of research facets in tourism pedagogies. For instance, Coll-Ramis et al. (2023) used bibliometric analysis to showcase the relationship between tourism and education since 1950. Their research objective nevertheless centred on how tourism education was used as a means to enrich students’ environmental, cultural and social awareness. Ulker et al. (2022) similarly used bibliometric analysis in which 136 studies were reviewed. The authors reported that talent management, resources management, customers services were the frequently researched topics. Their bibliometric analysis was thus not exclusively centred on pedagogies related to tourism and hospitality. The current study adopted a bibliometric analysis to address this gap with an aim to identify the changing structure of knowledge production themed in teaching methods related to tourism and hospitality education. Citespace was adopted for data mining algorithms and visualization of research trends (Chen, 2016). This present study aims to investigate the main research facets related to tourism pedagogies over the years from 2000 to 2022. In particular, the current study aims at answering the following questions:

Q1.

What have been the main research areas related to tourism pedagogies from 2000 to 2022?

Q2.

Who have been the influential researchers and journals in this field based on global citation scores?

Q3.

What were the new research hotspots related to tourism pedagogies in the past five years?

The study aims to review the pedagogy articles related to tourism and hospitality education. A bibliometric analysis was applied to identify the structure of knowledge production themed in this area. The current study uses Citespace 6.1 to conduct keywords co-occurrence analysis, co-citation analysis, institutional collaboration analysis and hotspots analysis (Chen, 2016). Articles were gathered from Web of Science (WoS) database, which is one of the popular data sets that tourism researchers rely on (Chen, 2016). As the main aim of the current study is to reveal the research facets related to tourism pedagogies since 2000 when WoS started to document articles in this vein, the following keywords were used to unearth the relevant papers from the data set, namely, “tourism and hospitality education” or “hotel education” or “education in tourism studies” or “travel education” and “teaching method” or “pedagogy” or “teaching approaches”. In addition, because the research inquiry of the current research involves a broad range of articles related to pedagogies across different academic disciplines, articles thus themed in travel, education and pedagogies have been included for analysis. While “Meeting abstracts” and “letter” were excluded, “articles”, “early access”, “review articles”, “editorial notes” and “proceeding papers” were included for the extraction. To clean the data and avoid duplications, the raw data were put into the “Data Directories” for filtering. Via a panel review and cross-checked independently by the research team members, a total of 847 articles were retained for further analysis.

Four analyses, including descriptive analysis, collaboration network analysis, co-citation analysis and keyword co-occurrence network analysis were conducted and they were discussed in turn. Firstly, the reason for conducting a descriptive analysis is to understand the field of tourism education teaching methods. Secondly, the collaboration network analysis reveals the main countries, institutions and researchers who contribute the most to tourism education teaching methods. Thirdly, the co-citation analysis provides insights into the structure of the research domains of this field by arranging according to the co-citations in the source papers. Finally, keyword co-occurrence network analysis and clustering analysis are used to summarize the current research hotspots of tourism education teaching methods and analyse the changing research focus of this topic.

Changes in the number of research articles of a particular field reflect to some extent the research trends and development of tourism pedagogies. Figure 1 presents the publication progress of literature related to tourism education research methods from 2000 to 2022. Over the years, there has been a steady growth of tourism education research methods, and that can be divided into three stages:

Figure 1.
A vertical bar chart with a line graph tracks the number of published papers and the percentage over time from 2001 to 2022.A bar chart combined with a line graph represents data from 2001 to 2022. The vertical axis shows counts from 0 to 120. The horizontal axis lists years from 2001 to 2022. Vertical bars indicate the number of published papers, which remain under 10 until 2008, then gradually rise, peaking at 115 in 2021 before slightly declining in 2022. A line graph overlays the bars and represents the percentage, which stays near zero until 2009, then slowly rises with visible growth from 2017 onwards, reaching its peak in 2021 before a slight drop in 2022.

Development trend of tourism education research methods literature

Source: Authors’ own work

Figure 1.
A vertical bar chart with a line graph tracks the number of published papers and the percentage over time from 2001 to 2022.A bar chart combined with a line graph represents data from 2001 to 2022. The vertical axis shows counts from 0 to 120. The horizontal axis lists years from 2001 to 2022. Vertical bars indicate the number of published papers, which remain under 10 until 2008, then gradually rise, peaking at 115 in 2021 before slightly declining in 2022. A line graph overlays the bars and represents the percentage, which stays near zero until 2009, then slowly rises with visible growth from 2017 onwards, reaching its peak in 2021 before a slight drop in 2022.

Development trend of tourism education research methods literature

Source: Authors’ own work

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  1. A slow development stage (2000–2009), and the research mainly focused on the characteristics of and benefits brought about by the various tourism education teaching methods (Meier et al., 2006), characteristics of learners and tourism educators (Ivanic et al., 2007) and the integration of e-learning with traditional teaching methods (Susser and Ariga, 2006).

  2. A rapid developing stage (2010–2017), in which the number of research articles in tourism pedagogies has been increased drastically. The research focus centred on online learning methods for tourism education and critical tourism teaching methods (Mair and Sumner, 2017).

  3. An explosion stage (2018–2022) was the period when a large number of articles related to tourism education teaching methods was produced. The research focus centred on two main themes. The first theme was related to online learning as fuelled by the rapid growth and popularity of online learning (Chen et al., 2022). Ye and Law (2021) stated that information and communication technology (ICT) has become not merely a supplementary component, but a prerequisite in tourism education. The second theme was related to the outbreak of COVID-19. Due to the fact that the social mobility was largely suspended during the pandemic, online tutorials replaced the on-site face-to-face teaching mode, which is consequential both to the mechanism of knowledge dissemination as well as pedagogies chosen to cope with the challenges brought about by the pandemic (Valsaraj et al., 2021).

3.2.1 National collaboration network.

Collaboration network analysis shows the relationships between collaborating countries as well as how influential those countries are contributing to research in tourism pedagogies. Each node represents a country and the size of the country’s font reflects its position in the collaboration network, while the size of the node represents the number of research articles produced by a particular country. The thickness of the lines represents the intensity of collaboration between those countries. As shown in Figure 2, the national collaboration network consists of 95 nodes and 235 lines, with an overall network density of 0.053, indicating some degree of collaboration between countries. Table 1 lists the top ten countries in terms of number of publications. The USA and England appear to have a closer collaboration node. In terms of number of publications, the USA tops the list (n = 163), followed by China (n = 87). England (n = 64), Spain (n = 63) and Australia (n = 54).

Table 1.

Countries that have research collaborations

CountriesFrequencyYearsCentrality
USA16319960.39
China8720000.04
England6419970.26
Spain6320060.16
Australia5419910.09
Canada4419980.12
Portugal2720100.04
Russia2720150.07
Germany2220060.16
Turkey2020050.07
Source(s): Authors’ own work
Figure 2.
A network visualization displays various countries with connecting lines indicating relationships or interactions. Some countries are centrally positioned, showing prominence.The image illustrates a network visualization featuring various countries represented by red text labels. Countries such as U S A, People's Republic of China, and Australia are centrally positioned, while others like Canada, Spain, and England are distributed around them. Lines of different thicknesses connect several countries, indicating varying levels of interaction or collaboration. The layout is radial, with more prominent countries located near the center. In one corner, additional information is provided, including criteria for country selection, total number of nodes, and density metrics that reflect the overall connectivity of the network.

Visualization of national collaboration network

Source: Authors’ own work

Figure 2.
A network visualization displays various countries with connecting lines indicating relationships or interactions. Some countries are centrally positioned, showing prominence.The image illustrates a network visualization featuring various countries represented by red text labels. Countries such as U S A, People's Republic of China, and Australia are centrally positioned, while others like Canada, Spain, and England are distributed around them. Lines of different thicknesses connect several countries, indicating varying levels of interaction or collaboration. The layout is radial, with more prominent countries located near the center. In one corner, additional information is provided, including criteria for country selection, total number of nodes, and density metrics that reflect the overall connectivity of the network.

Visualization of national collaboration network

Source: Authors’ own work

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Betweenness centrality is an indicator to measure the degree of influence of a node in the entire network. To decode, the higher the betweenness centrality of a node represents the fact that the node is closely connected to other nodes. It is a guideline suggesting that a greater influence exists in the network. If the betweenness centrality of a node is greater than 0.1, it can be considered as a key node. As evidenced in Table 1, the USA, England, Spain, Canada and Australia were the countries with strong influence in publishing research in tourism pedagogies. In addition, the USA, England, Australia and Canada were the countries which produced the early batch of tourism pedagogies research in year 2000.

3.2.2 Institutional collaboration network.

The institutional collaboration network showcases the co-operative patterns among different institutions. Figure 3 shows that the institutional co-operation network has 447 nodes and 215 links, with an overall network density of 0.0022, indicating that there is a light density among institutions’ collaborations. Table 2 lists the top ten institutions that contributed the most to the tourism pedagogies research. The University of Waterloo has the highest number of publications (n = 9), followed by the Complutense University of Madrid (n = 8), the Griffith University (n = 8), the University of Toronto (n = 7) and the Hong Kong Polytechnic University (n = 6).

Table 2.

Institution collaboration network

InstitutionsFrequencyYears
University of Waterloo92017
Complutense University of Madrid82006
Griffith University82010
University of Toronto71998
The Hong Kong Polytechnic University62013
University of Pittsburgh62013
Universidad de Granada52008
The University of Hong Kong52000
Arizona State University52007
The University of British Columbia52009
Source(s): Authors’ own work
Figure 3.
A network diagram displays university names connected by lines and arrows, suggesting collaborations or relationships among institutions in a clustered layout.The diagram shows a network of universities connected by directional arrows and lines, indicating possible relationships or collaborations. Names such as Universidad Complutense Madrid and Southern Cross University are prominently displayed. The spatial arrangement clusters some universities closely, suggesting groupings based on their connections. Arrows vary in orientation, indicating directionality in interactions. Annotations in the top left corner describe the dataset's time span and network properties, providing context for the relationships represented.

Institution collaboration network

Source: Authors’ own work

Figure 3.
A network diagram displays university names connected by lines and arrows, suggesting collaborations or relationships among institutions in a clustered layout.The diagram shows a network of universities connected by directional arrows and lines, indicating possible relationships or collaborations. Names such as Universidad Complutense Madrid and Southern Cross University are prominently displayed. The spatial arrangement clusters some universities closely, suggesting groupings based on their connections. Arrows vary in orientation, indicating directionality in interactions. Annotations in the top left corner describe the dataset's time span and network properties, providing context for the relationships represented.

Institution collaboration network

Source: Authors’ own work

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3.2.3 Author collaboration network.

The author collaboration network reveals the collaboration relationships and contributions made among the authors. As shown in Figure 4, the author collaboration network has 572 nodes and 539 edges, with an overall network density of 0.0017, indicating a weak collaboration among the authors in this field. Table 3 presents the top ten authors in terms of the number of publication outputs. Karla (n = 6) and Yonggang (n = 4) appear to be the most productive authors in this field. Their research focuses on innovative teaching methods (Boluk et al., 2019; An and Wang, 2015), critical teaching methods (Boluk and Carnicelli, 2019) and teaching method reformations (Carnicelli and Boluk, 2017).

Table 3.

Researchers’ collaboration network

AuthorsFrequencyYears
Boluk, Karla62017
An, Yonggang42014
Caton, Kellee32011
Carnicelli, Sandro32017
Yubero, Claudia32020
Hsu, Cathy H C32015
Ioras, F32014
Arraiza, M P32014
Wang, Wenhe32015
Szecsenyi, Joachim32020
Source(s): Authors’ own work
Figure 4.
A network visualization shows interconnected names with labeled nodes and connecting lines, representing relationships among individuals with varying association levels.The image displays a network visualization representing individual relationships through labeled nodes and connecting lines. Names such as An Yonggang, Wang, Wenhe, and Yubero Claudia are dispersed across the layout, with lines indicating associations between them. Line thickness varies, suggesting different degrees of relationship strength. Annotations include the network size noted as N equals 572 and reference to pruning methods used in the analysis. The layout is open and spatially distributed, allowing clear identification of relational clusters and individual prominence within the network. Some names appear in larger font, indicating relative importance or centrality.

Researchers’ collaboration network

Source: Authors’ own work

Figure 4.
A network visualization shows interconnected names with labeled nodes and connecting lines, representing relationships among individuals with varying association levels.The image displays a network visualization representing individual relationships through labeled nodes and connecting lines. Names such as An Yonggang, Wang, Wenhe, and Yubero Claudia are dispersed across the layout, with lines indicating associations between them. Line thickness varies, suggesting different degrees of relationship strength. Annotations include the network size noted as N equals 572 and reference to pruning methods used in the analysis. The layout is open and spatially distributed, allowing clear identification of relational clusters and individual prominence within the network. Some names appear in larger font, indicating relative importance or centrality.

Researchers’ collaboration network

Source: Authors’ own work

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3.3.1 Co-citation in the existing literature.

Figure 5 shows the findings that are derived from the co-citation analysis. The co-citation analysis is applied to assess the quality and impact of those research articles, hereby referring to the pedagogies related to tourism education. Nodes in the network represent the cited references while links between nodes represent the number of times of citations that appeared in the source papers. The current co-citation network has 717 nodes and 1474 links, with an overall network density of 0.0057. Table 5 lists the top ten most cited papers based on their Global Citation Scores (GCS), with Rob Hales having the GCS value (n = 17), followed by David Airey (n = 11) and Kellee Caton (n = 9), among others.

Figure 5.
A network analysis visualisation displays authors and publication years, connected by lines to represent citation relationships, with metrics summarised at the top.The image presents a network analysis visualisation generated using Cite Space, focusing on authors and their publication years. Central authors such as Hales R 2017 and Kolb D A 2015 are highlighted; each associated with a specific year. Lines connect various nodes, indicating citation relationships among the authors. At the top, data metrics include the time span from 1991 to 2023, the number of nodes and edges, and the network density. Additional indicators such as the g index threshold and the size of the largest connected component are noted. Node sizes vary to reflect prominence or frequency, and the structured layout supports interpretation of citation patterns and scholarly influence across time.

Co-citation

Source: Authors’ own work

Figure 5.
A network analysis visualisation displays authors and publication years, connected by lines to represent citation relationships, with metrics summarised at the top.The image presents a network analysis visualisation generated using Cite Space, focusing on authors and their publication years. Central authors such as Hales R 2017 and Kolb D A 2015 are highlighted; each associated with a specific year. Lines connect various nodes, indicating citation relationships among the authors. At the top, data metrics include the time span from 1991 to 2023, the number of nodes and edges, and the network density. Additional indicators such as the g index threshold and the size of the largest connected component are noted. Node sizes vary to reflect prominence or frequency, and the structured layout supports interpretation of citation patterns and scholarly influence across time.

Co-citation

Source: Authors’ own work

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This study conducted cluster analysis using the natural logarithm algorithm (see Figure 6). Clusters labels were retrieved using the Log-likelihood Rotation algorithm (LLR algorithm). LLR provides unique labels to the clusters which reflect the core research domains. The results showed that the largest cluster in this study is Cluster #0 “New technologies fieldwork”, with 52 articles included, focusing on students’ involvement, teaching tourism, vocational education, communications technology and tourism students, educational administrator; theory approach; tourism education; tourism student. The second-largest cluster was “Endorsing gamification pedagogy”, containing 31 articles, with research focuses on tourism education, COVID-19-induced disruption, helpful strategy, endorsing gamification pedagogy and tourism education system. Dhawan’s research (2020) for example within this cluster, entitled “Online Learning: A Panacea in the Time of COVID-19 Crisis” was the most important article of Cluster #1. Dhawan’s study was about online learning and teaching methods. The third largest cluster was labelled “Pedagogical framework”, consisting of 28 articles, with a research focus centres on critical framework, sustainable development goals, volunteer tourism and pedagogic experience. Heather Mair’s research (2015) on critical teaching methods had the highest citation frequency within this cluster, entitled “Critical tourism pedagogies: Exploring the potential through food”, which was published in Journal of Hospitality, Leisure, Sport & Tourism Education. For details of the remaining clusters, please refer to Table 4. Table 5 presents the top ten most cited articles related to pedagogies in tourism education.

Figure 6.
A network diagram shows educational themes as numbered clusters with connecting lines, indicating relationships between nodes.The diagram displays a network map generated by CiteSpace, covering data from 1991 to 2023, with parameters such as g-index 25 and node count 717. It includes six labelled clusters: 0 new technologies fieldwork, 1 endorsing gamification pedagogy, 2 pedagogical framework, 3 tourism education research, 4 tourism management student, and 12 virtualization. Each cluster consists of circular nodes linked by fine lines, and all clusters are spatially grouped. Themes are grouped based on citation similarity or topical coherence, and modularity and silhouette scores suggest well-structured and distinct clusters. Labels are centrally positioned within each cluster and indicate dominant themes.

Pedagogies related to tourism education co-citations analysis clustering

Source: Authors’ own work

Figure 6.
A network diagram shows educational themes as numbered clusters with connecting lines, indicating relationships between nodes.The diagram displays a network map generated by CiteSpace, covering data from 1991 to 2023, with parameters such as g-index 25 and node count 717. It includes six labelled clusters: 0 new technologies fieldwork, 1 endorsing gamification pedagogy, 2 pedagogical framework, 3 tourism education research, 4 tourism management student, and 12 virtualization. Each cluster consists of circular nodes linked by fine lines, and all clusters are spatially grouped. Themes are grouped based on citation similarity or topical coherence, and modularity and silhouette scores suggest well-structured and distinct clusters. Labels are centrally positioned within each cluster and indicate dominant themes.

Pedagogies related to tourism education co-citations analysis clustering

Source: Authors’ own work

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Table 4.

Detailed information on the clustered cited references

ClusterSizeSilhouetteYearLabel (LLR)
0 New technology fieldworks520.9662017Student involvement; teaching tourism; vocational education; communications technology; tourism student; educational administrator; theory approach; tourism education; tourism student
1 Endorsing gamification pedagogy310.9592019Tourism education; COVID-19-induced disruption; helpful strategy; endorsing gamification pedagogy; tourism education system; hospitality education; Asia-Pacific countries; comparative research; COVID-19 pandemic; emotional intelligence development
2 Pedagogical framework280.9722016Critical framework; sustainable development goal; volunteer tourism; pedagogic experience; tourism classroom; critical tourism citizen; pedagogical framework; community partner; creative analytic approach; tourism courses
3 Tourism education research260.9642014Tourism education research; spirituality-based platform; tourism education scholarship; entrepreneurship ecosystem; sustainable tourism; virtual field trip; students’ perception; technical-professional student; causal model
4 Tourism management student160.9982011Tourism management student; classroom learning; linking internship; case study examination; general practitioner; revolutionary new approach; portfolio-based learning; mid-point evaluation
Source(s): Authors’ own work
Table 5.

The top ten most cited articles

RankJournalArticlesAuthorsCo-citation intensityYears
1Journal of Hospitality, Leisure, Sport & Tourism EducationTransformation for sustainability: the role of complexity in tourism students’ understanding of sustainable tourismRob Hales, Gayle Jennings172015
2Journal of Travel ResearchThe Managerial Gaze: The Long Tail of Tourism Education and ResearchDavid Airey, John Tribe, Pierre Benckendorff, Honggen Xiao112014
3Journal of Hospitality, Leisure, Sport & Tourism EducationUnder disciplinarily: Where are the humanities in tourism education?Kellee Caton92017
4Tourism GeographiesHow should tourism education values be transformed after 2020?Johan R Edelheim72014
5Annals of Tourism ResearchTourism for the emancipation of the oppressed: towards a critical tourism education drawing on Freirean philosophyKarla Boluk, Sandro Carnicelli62020
6Journal of Teaching in Travel & TourismTransformative Education and Sustainable Tourism: The Influence of a Lecturer’s WorldviewAndrea Boyle, Erica Wilson, Kay Dimmock62020
7Journal of Sustainable TourismOvercommitted to tourism and under committed to sustainability: the urgency of teaching “strong sustainability” in tourism coursesDebbie Cotterell, Robert Hales, Charles Arcodia, Jo-Anne Ferreira62019
8Journal of Hospitality, Leisure, Sport & Tourism EducationCritical tourism pedagogies: Exploring the potential through foodHeather Mair, Jennifer Sumner62015
9The International Journal of Management EducationAn evaluation of teaching methods of entrepreneurship in hospitality and tourism programsAhmad, S.Z., Rahim, A., Abu Bakar, A., and Ahmad, N.42018
10Journal of Hospitality, Leisure, Sport & Tourism EducationAnalysis of tourism and hospitality sustainability education with co-competition creativity course planningLiu, C.H., Horng, J.S., Chou, S.H., and Huang, Y.C.42017
Source(s): Authors’ own work

3.3.2 Journal co-citation.

The analysis of journals’ co-citations can help researchers discover the most frequently cited journals and their influence. Figure 7 shows the co-citation network of journals, which consists of 786 nodes and 3,419 edges, with an overall network density of 0.011. At the same time, Table 6 shows the top ten most cited journals. Journal of Hospitality Leisure Sport & Tourism Education received the highest citations (n = 96), followed by Tourism Management (n = 88) and Journal of Teaching in Travel & Tourism (n = 84). These results indicate that journals in the tourism, education and hospitality research fields have played a key role in the knowledge production of tourism education and teaching methods rather than articles in pure tourism science.

Table 6.

The top ten most cited journals

RankJournalsFrequencyYearsStrengthBeginEnd
1Journal of Hospitality Leisure Sport & Tourism Education96200925.6720162023
2Tourism Management88200725.3220172023
3Journal of Teaching in Travel & Tourism8420062420172023
4Computers & Education81200915.8420182022
5Journal of Sustainable Tourism62201117.7120172023
6Journal of Hospitality and Tourism Education53201116.3420182023
7Journal of Hospitality and Tourism Management49201212.4820172023
8Sustainability49201118.3520202023
9Studies in Higher Education4820126.7420172021
10International Journal of Hospitality Management4520098.4220192023
Source(s): Authors’ own work
Figure 7.
A network diagram presents tourism management research links using nodes labelled with journal names and connecting lines to show citation relationships.The diagram shows a network visualisation of scholarly connections in tourism management research using nodes representing journals and articles, including J Teach Travel Tour and Sustainability Basel. The layout features lines between nodes to indicate relationships, with line thickness reflecting connection strength. Nodes are distributed in a clustered arrangement, some central and more interconnected than others, indicating higher influence or citation frequency. Analysis parameters, such as modularity, node and edge count, and selection criteria, are presented at the top. These metrics provide insight into the structural coherence and density of the citation network. The design highlights the field's thematic integration.

Journal co-citations

Source: Authors’ own work

Figure 7.
A network diagram presents tourism management research links using nodes labelled with journal names and connecting lines to show citation relationships.The diagram shows a network visualisation of scholarly connections in tourism management research using nodes representing journals and articles, including J Teach Travel Tour and Sustainability Basel. The layout features lines between nodes to indicate relationships, with line thickness reflecting connection strength. Nodes are distributed in a clustered arrangement, some central and more interconnected than others, indicating higher influence or citation frequency. Analysis parameters, such as modularity, node and edge count, and selection criteria, are presented at the top. These metrics provide insight into the structural coherence and density of the citation network. The design highlights the field's thematic integration.

Journal co-citations

Source: Authors’ own work

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The emergence of citations indicates that a certain research field is receiving increasing attention (see Figure 8). The burst values of the Journal of Hospitality Leisure Sport & Tourism Education, and Tourism Management are 25.67 and 25.32, respectively. From the degree and time nodes of citation emergence of the cited journals, one can see that there is a significant growth of research production in this field in the past two years and the research focus centres on documenting changes in tourism education and tourism pedagogies. For example, smart tourism is a tourism service model fuelled by modern information technology. Smart tourism has thus revolutionized the ways of knowledge dissemination as well as pedagogies adopted for smart tourism education. The issues of enhancing students’ interest and learning effectiveness via ICT facilitation, as well as the quality of education have become the main research domain (Bilotta et al., 2021). Similarly, sustainable tourism practice requires a series of strategies and actions to be implemented, among which tourism education plays a crucial role. Previous studies have reported that the emergence of sustainable tourism teaching methods can improve the effectiveness and benefits of tourism education, which are consequential to the development of students’ environmental awareness and a sense of responsibility (Torres Valdés et al., 2019).

Figure 8.
A timeline chart lists cited journals from 1991 to 2023 with bars showing citation strength and active years for each source.The chart presents a list of cited journals with citation data spanning from 1991 to 2023. Columns display the journal name, year of appearance, citation strength, start and end years of citation, and a visual bar indicating the duration of influence. Each journal is accompanied by a horizontal bar divided into two segments: a light segment for earlier citation years and a dark segment for recent years. A N N TOURISM R E S shows a strength of 27.08, active from 2017 to 2023, while INTERACT LEARN E N V I R shows a shorter span beginning in 2021. The chart highlights both the continuity and recent impact of journals in tourism and education research.

The burst value of journal citations

Source: Authors’ own work

Figure 8.
A timeline chart lists cited journals from 1991 to 2023 with bars showing citation strength and active years for each source.The chart presents a list of cited journals with citation data spanning from 1991 to 2023. Columns display the journal name, year of appearance, citation strength, start and end years of citation, and a visual bar indicating the duration of influence. Each journal is accompanied by a horizontal bar divided into two segments: a light segment for earlier citation years and a dark segment for recent years. A N N TOURISM R E S shows a strength of 27.08, active from 2017 to 2023, while INTERACT LEARN E N V I R shows a shorter span beginning in 2021. The chart highlights both the continuity and recent impact of journals in tourism and education research.

The burst value of journal citations

Source: Authors’ own work

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3.4.1 Keywords co-occurrence network.

To understand how the research field of tourism education and teaching methods have evolved over time, keyword co-occurrence analysis was adopted. Figure 9 presents the keyword co-occurrence network map, which has 525 nodes and 1708 edges, with an overall network density of 0.0124. Table 7 lists the top 20 high-frequency keywords, including “education”, “higher education”, “student”, “tourism”, “pedagogy”, “experience”, “perception” and “tourism education”. Those keywords represent the current research trends and hot topics in the field.

Table 7.

Keywords of high frequency

RankKeywordsFrequencyYears
1Education732002
2Higher education432008
3Student422006
4Tourism412010
5Pedagogy302016
6Experience252005
7Perception242000
8Tourism education192011
9University192007
10Program162005
11Knowledge162010
12Impact152005
13Critical pedagogy152011
14Perspective142009
15Hospitality142013
16Management132011
17Technology132017
18Performance132008
19Online learning122011
20Model112006
Source(s): Authors’ own work
Figure 9.
A network visualization displays interconnected keywords in education such as pedagogy, tourism, and experience, with line connections showing their relationships.The image shows a network visualization made up of keywords related to education, arranged with varying font sizes and connected by lines indicating conceptual relationships. Prominent terms include education, pedagogy, student, tourism, and experience, placed centrally in larger fonts, suggesting higher frequency or importance. Surrounding these are related concepts such as knowledge, impact, higher education, and learning, each linked to other terms to form a dense, interconnected structure. The web-like layout reflects the complex associations among topics in the educational field. Additional keywords branch from central nodes, revealing clusters of themes and their relevance within academic discourse. The network emphasises both the diversity and cohesion of ideas shaping educational research.

Keywords co-occurrence network map

Source: Authors’ own work

Figure 9.
A network visualization displays interconnected keywords in education such as pedagogy, tourism, and experience, with line connections showing their relationships.The image shows a network visualization made up of keywords related to education, arranged with varying font sizes and connected by lines indicating conceptual relationships. Prominent terms include education, pedagogy, student, tourism, and experience, placed centrally in larger fonts, suggesting higher frequency or importance. Surrounding these are related concepts such as knowledge, impact, higher education, and learning, each linked to other terms to form a dense, interconnected structure. The web-like layout reflects the complex associations among topics in the educational field. Additional keywords branch from central nodes, revealing clusters of themes and their relevance within academic discourse. The network emphasises both the diversity and cohesion of ideas shaping educational research.

Keywords co-occurrence network map

Source: Authors’ own work

Close modal

The co-occurrence results of keywords can be divided into four categories:

  1. The first category is about education and teaching, including “Education, Higher education, Pedagogy, Critical pedagogy and Online learning”. Those keywords are related to education and teaching issues. “Education” and “higher education” emphasize the scope of the research topic, while “Pedagogy” and “Critical pedagogy” focus on exploring teaching methods. “Online learning” highlights new ways and teaching methods of online learning facilitated by the resourceful technology.

  2. The second category is about students and educational experience, including “student, experience and perception”.

  3. The third category is about tourism education and knowledge, including “tourism education, program, knowledge and model”, suggesting that the research domain of this category focuses on model construction of tourism education.

  4. The fourth category is about practical influence and management, including “impact, hospitality, management and performance”.

Those keywords reflect the connection between the forms and teaching methods adopted for tourism education.

Keyword clustering analysis is a visualization tool that can provide insights into the nature and patterns of the data. Figure 10 below displays the keyword clustering of research on tourism education and teaching methods. The result shows a Modularity Q value of 0.6171, which is greater than 0.4 suggesting that the cluster map results are acceptable. The Mean Silhouette value is 0.8432, indicating a high degree of similarity within the clusters and high reliability.

Figure 10.
A network diagram shows numbered clusters of topics in education with large central labels and smaller connected nodes indicating relationships among themes.The network diagram displays multiple clusters of interconnected educational topics. Each cluster is marked with a number and a theme name, such as critical pedagogy, environmental education, blended learning, and patient simulation. Nodes of different sizes represent individual data points within each cluster. Larger central nodes are clearly labelled, while smaller nodes radiate around them to reflect thematic associations. The structure arranges related topics in proximity, with clusters positioned to reflect closeness or separation of educational ideas. Interconnecting lines between nodes indicate the strength or frequency of topic co-occurrence, visually portraying how themes overlap or remain distinct in the broader educational landscape.

The clustering of keywords

Source: Authors’ own work

Figure 10.
A network diagram shows numbered clusters of topics in education with large central labels and smaller connected nodes indicating relationships among themes.The network diagram displays multiple clusters of interconnected educational topics. Each cluster is marked with a number and a theme name, such as critical pedagogy, environmental education, blended learning, and patient simulation. Nodes of different sizes represent individual data points within each cluster. Larger central nodes are clearly labelled, while smaller nodes radiate around them to reflect thematic associations. The structure arranges related topics in proximity, with clusters positioned to reflect closeness or separation of educational ideas. Interconnecting lines between nodes indicate the strength or frequency of topic co-occurrence, visually portraying how themes overlap or remain distinct in the broader educational landscape.

The clustering of keywords

Source: Authors’ own work

Close modal

According to Table 8, the top ten clusters were from 2009 to 2018, indicating that the research on tourism education teaching methods has been increasing as a popular research topic. Among them, the largest cluster appeared in 2018 and the research facet focused on “critical pedagogy”, in which nine keywords were included, such as “critical pedagogy”, “sustainable tourism”, “sustainable development goals”, “critical literacy”, “global citizenship”, “global citizenship education”, “social class”, “education policy” and “comparative education”. The second-largest cluster was “blended learning”, which included nine keywords, including “creative analytic practice”, “integrated curriculum design”, “tourism pedagogy”, “services marketing”, “hospitality services”, “student”, “program”, “experience” and “school”.

Table 8.

Detail information on keyword clusters

RankSizeSilhouetteYearLabel (LLR)
1710.7752018Critical pedagogy; sustainable tourism; sustainable development goals; critical literacy; global citizenship; global citizenship education; social class; education policy; comparative education
2500.8252012Creative analytic practice; integrated curriculum design; tourism pedagogy; services marketing; hospitality services; student; program; experience; school
3480.8112012Tourism education; online learning; technology-enhanced learning; student engagement; learning management systems; self-concept; qualitative difference; validation
4380.8162012Collaborative teaching; experiential learning; student employability; work-based instruction; hospitality education; tourism education; environmental education; international education; learning approaches; work-based instruction
5360.7672017Postgraduate education; blended learning; vocational training; general practice; primary care; participation; education; achievement; amotivation; autonomy
6350.9032013Student; design; classroom; education; pedagogy; virtual world; campus; 2nd life; service
7350.9202009Education; distance; videoconferencing; internship and residency
8230.8342014Sustainability education; sustainability literacy; environmental worldview; subject areas; teacher education; post-secondary education; interdisciplinary projects; human–computer interface
9170.9472009Real-life simulation; virtual world; continuing education; computer-aided instruction; geography education; focus groups; top-up degree; student support
10130.9672016Education; accessibility; route; school; cognitive behavioural therapy; digital health; mobile phone; education
Source(s): Authors’ own work

In other words, critical pedagogy and critical literacy have become the hotspots in tourism pedagogy research. Research in this vein emphasizes the need for having a critical analysis of tourism education and teaching methods. Teachers were encouraged to adopt creative analytic practice to promote students’ ability to think critically and creatively (Kim and Davies, 2014). Meanwhile, due to the growing importance of sustainable development goals, one of the research hotspots is to integrate sustainable goals into tourism education and teaching methods. Educators should use the concepts of global citizenship education to cultivate students’ global awareness and a sense of responsibility, thereby promoting the sustainable development of the tourism industry. In addition, integrated curriculum design and tourism pedagogy have also become the hotspots in research, in particular on integrating knowledge from different academic disciplines into tourism education and teaching methods (see Boluk et al., 2019). In summary, recent research focused on fostering the underpinning theories of tourism pedagogies which could facilitate students’ critical thinking as well as their sense of sustainability.

As indicated below, Figure 11 illustrates the results of the keywords time zone, the year of the node represents the first appearance of the keyword in the current literature. The lines connecting different nodes indicate that those keywords appeared in the same document. The number of documents published in different years reflect the publication status at that time.

Figure 11.
A network diagram traces educational themes from 1991 to 2023 using labelled terms, arrows, and rankings to show connections and importance over time.The network diagram visualises the evolution of educational themes between 1991 and 2023. Arrows link key terms such as education, knowledge, student, and experience, showing thematic interrelations across time. The layout follows a timeline, with topics grouped by decades, and highlights significant ideas like critical pedagogy, online learning, and environmental education. Each theme is ranked, with corresponding numbers listed in a column on the right, indicating relative importance or frequency. Arrows and term placement illustrate how concepts are connected or influence each other. The diagram captures both chronological progression and conceptual overlap among education-related terms.

The map of keyword co-occurrence time zone

Source: Authors’ own work

Figure 11.
A network diagram traces educational themes from 1991 to 2023 using labelled terms, arrows, and rankings to show connections and importance over time.The network diagram visualises the evolution of educational themes between 1991 and 2023. Arrows link key terms such as education, knowledge, student, and experience, showing thematic interrelations across time. The layout follows a timeline, with topics grouped by decades, and highlights significant ideas like critical pedagogy, online learning, and environmental education. Each theme is ranked, with corresponding numbers listed in a column on the right, indicating relative importance or frequency. Arrows and term placement illustrate how concepts are connected or influence each other. The diagram captures both chronological progression and conceptual overlap among education-related terms.

The map of keyword co-occurrence time zone

Source: Authors’ own work

Close modal

The most significant nodes for tourism education and teaching methods are “education”, “student”, “pedagogy”, “tourism” and “experience”. These nodes started from 2005 to 2018, indicating that teaching methods have always been associated with “tourism”, “experience”, “students” and “education itself”. As time goes by, the research focus of this field has shifted, and concepts such as skill, management and competence have emerged.

3.4.2 Subjects/disciplines co-occurrence.

The co-occurrence network graph is presented in Figure 12, which can help researchers to categorize the different research themes and their respective developmental patterns. There are in total 144 nodes and 267 edges, and an overall network density of 0.026. Table 9 presents the top five research subject categories, including “Education & Education Research”; “Hospitality, Leisure, Sport and Tourism”; “Education, Scientific disciplines”; “Management”; and “Social sciences, Interdisciplinary”. The results indicate that tourism is a cross-disciplinary input for tourism and hospitality education. The current analysis shows that there is a lack of cross-disciplinary integration between tourism education and tourism pedagogies. Finding as such sheds light on the need to strengthen cross-disciplinary collaborative research by integrating knowledge and teaching methods from different academic disciplines, so that tourism pedagogies in tourism education could be enriched (Darbellay and Stock, 2012).

Table 9.

Subjects/disciplines with high frequency

RankCategoriesFrequencyYears
1Education and education research3601999
2Hospitality, leisure, sport and tourism982007
3Education, scientific disciplines661994
4Management402011
5Social sciences, interdisciplinary402007
Source(s): Authors’ own work
Figure 12.
A network visualization displays educational disciplines with nodes labeled using large red text. Connections between the nodes indicate relationships, and font size reflects disciplinary significance.The image presents a network visualization illustrating various educational disciplines. Key nodes are labeled with terms such as Education, Scientific Disciplines, Environmental Sciences, Management, Hospitality, and Educational Research, represented in large red text. The size of each label indicates its relative significance or influence in the educational network. Lines extend between the nodes, denoting relationships among these disciplines. Metadata and dates are displayed in the upper portion, providing information about the data source and timeframe used for the analysis.

Subjects/disciplines co-occurrence networks

Source: Authors’ own work

Figure 12.
A network visualization displays educational disciplines with nodes labeled using large red text. Connections between the nodes indicate relationships, and font size reflects disciplinary significance.The image presents a network visualization illustrating various educational disciplines. Key nodes are labeled with terms such as Education, Scientific Disciplines, Environmental Sciences, Management, Hospitality, and Educational Research, represented in large red text. The size of each label indicates its relative significance or influence in the educational network. Lines extend between the nodes, denoting relationships among these disciplines. Metadata and dates are displayed in the upper portion, providing information about the data source and timeframe used for the analysis.

Subjects/disciplines co-occurrence networks

Source: Authors’ own work

Close modal

This study provides a systematic overview of research articles of pedagogies related to tourism and hospitality education. Based on a collection of 847 articles from WoS, CiteSpace was used as an analytical tool for the current bibliometric study. The present review analyses co-operation distribution networks. In addition, co-citation analysis, keyword co-occurrence and research hotspots analysis were conducted.

Pedagogies related to tourism education has been reshaped according to stakeholders’ expectations, designated learning outcomes and ever-changing tourism practices revolving around the constant social, techno and economic forces (Qiu et al., 2021). Tourism pedagogy is found to have a drastic increase in 2017. Interdisciplinary collaboration and practical experience were found to be important components of tourism education. Findings show that there is a need to strengthen the interdisciplinary convergence in doing tourism pedagogies research. Institutions, namely, the University of Waterloo, Complutense University of Madrid, Griffith University, the University of Toronto and The Hong Kong Polytechnic University have contributed the most to the knowledge production of research in tourism education teaching methods. Boluk, Karla is found to be the influential author contributing to this research field.

As evidenced in the above analysis, research on tourism education teaching methods mainly focuses on four categories: education and teaching methods, student and educational experience, tourism education and knowledge and practical impacts and management. Dewey (1974) believed that knowledge and actions should be integrated and grounded in a learning process, knowledge and skills acquired should be internalized and transformed into behaviour. Therefore, in tourism education, theoretical knowledge and practical operation need to be combined to translate what is learnt into real practices. Rob Hales, David Airey and Kellee Caton are the most frequently cited contributors in the field of tourism education.

In addition, the Journal of Hospitality Leisure Sport & Tourism Education, Tourism Management and the Journal of Teaching in Travel & Tourism are the most frequently cited journals in the field of tourism education teaching methods. Findings as such suggest that studies on tourism pedagogies were mainly published in those journals. The primary research facet centre on teaching methods and evaluation criteria adopted for assessing the quality of tourism education (see Airey and Ruhanen, 2014; Daniel et al., 2017; Cotterell et al., 2019); followed by students’ experiences, impacts of tourism education on students’ cognition, emotion and behaviour (Arranz et al., 2017); investigations on social, economic and environmental impacts of tourism education, impacts of tourism pedagogies on knowledge dissemination and students’ capabilities, in particular teaching methods could lead to positive changes both for the future tourism workers and the tourism industry (Sharafeddin and Samarji, 2022).

Findings of the current study also sheds light on the emerging research hotspots in this field. Tourism pedagogies were found to be revolving around topics such as educational method innovation, experiential education, management and technology applications, tourism industry knowledge and practical skills. It is worthy of attention that the research topic on critical tourism pedagogies was found to be an important emergent research trend in tourism education. This emergent research domain is in line with Browning and Myers’s (2020) critical pragmatism framework. In addition, the findings show that it is becoming increasingly important to adopt an experiential learning mode which is intertwined with digital technology, and can translate theories. Keywords of this emergent research domain include critical pedagogy, education, knowledge, experience and tourism. Finding as such illuminate the fact that tourism is an ever-changing industry which requires its workers to have critical thinking and high adaptability. Future tourism workers are expected only to cope with challenges but also to lead and make changes. As evidenced in the co-occurrence analysis, critical pedagogy is a research hotspot and is regarded as a mechanism that would allow students in tourism education to develop their critical mindsets, and can better adapt to the demands and evolving trends as demanded by the tourism employment market (Hall and Smyth, 2016).

While bibliometric analysis has been conducted in tourism and hospitality education, research in pedagogies related to tourism and hospitality education has been comparatively less explored. This study provides an overview of the current literature related to tourism pedagogies and highlighted the changing research focus and the emergent research hotspots. Findings provide directions to help future researchers to do research in topics that are current and have future potential for good publications.

In addition, this study provides a comparison between traditional and contemporary pedagogical methods used in tourism and hospitality education. Findings serve as an additional complement of previous research. While earlier studies have typically focused on either adopting traditional classroom-based teaching or online education, this study provides a juxtaposition of these methodologies. It delves into the integration of innovative technologies into tourism and hospitality education, such as “technology-enhanced learning”, “real-life simulation”, “situational case-based teaching”, “interdisciplinary-projects”, interactive case-sharing and discussions. All these are the pedagogies used in contemporary education in tourism and hospitality studies with an aim to enhance students’ practical and problem-solving skills. Such a research facet has been less explicitly emphasized in prior studies. Critical tourism pedagogy in particular is found to be influential when enhancing students’ critical thinking and the awareness of global citizenship is emphasized. Findings are in line with Kim and Davies’ (2014) study that more innovative teaching practice should be adopted to help facilitate students’ ability to think critically and creatively. To think critically and creatively appear to be the qualities wanted by the industry employers as well as the stakeholders in a society (McKercher et al., 2023). The identified changing structure of knowledge in pedagogies also opens a future research avenue for scholars to assess the role of critical tourism pedagogies and the impacts of how successful the students are mentored on the path of developing critical thinking and practice.

Pedagogies in tourism education has been evolved due to the popularity of online education and AI-intervention, in particular, a large amount of research was undertaken to investigate how teaching methods could be revolutionized when online education and AI-intervention appear to be indispensable in the contemporary world (Kim and Jeong, 2018; Ye and Law, 2021). Empirical inquiries in future could investigate the differences before and after the transformation by putting AI-intervention in tourism pedagogies under scrutiny and see how the evolution would take place and affect the outcomes generated.

Similar to other studies, this study also has its limitations. Firstly, the sample of this study only includes papers retrieved from the WoS database. Future research should combine other databases, such as Scopus and other databases, as some research on tourism education teaching methods may be included in other databases. Secondly, this study did not compare the differences in the development of tourism education teaching methods before and after COVID-19. Future research might wish to systematically investigate.

All authors acknowledge the support of Macao Polytechnic University (RP/FCHS-02/2022).

Ahmad
,
S.Z.
,
Bakar
,
A.R.A.
and
Ahmad
,
N.
(
2018
), “
An evaluation of teaching methods of entrepreneurship in hospitality and tourism programs
”,
The International Journal of Management Education
, Vol.
16
No.
1
, pp.
14
-
25
, doi: .
Airey
,
D.
and
Ruhanen
,
L.
(
2014
), “
Tourism policy-making in Australia: a national and state perspective
”,
Tourism Planning and Development
, Vol.
11
No.
2
, pp.
149
-
162
.
An
,
Y.
and
Wang
,
W.
(
2015
), “
Based on the ‘internet plus ‘tourism management teaching methods innovation research
”,
2015 3rd International Conference on Education Reform and Management Innovation (ERMI 2015), Pt 2.
Arcodia
,
C.
and
Dickson
,
C.
(
2009
), “
ITHAS: an experiential education case study in tourism education
”,
Journal of Hospitality and Tourism Education
, Vol.
21
No.
1
, pp.
37
-
43
, doi: .
Arranz
,
N.
,
Ubierna
,
F.
,
Arroyabe
,
M.F.
,
Perez
,
C.
and
Fdez. de Arroyabe
,
J.C.
(
2017
), “
The effect of tourism education on students’ entrepreneurial vocation
”,
Scandinavian Journal of Hospitality and Tourism
, Vol.
17
No.
3
, pp.
312
-
330
, doi: .
Belhassen
,
Y.
and
Caton
,
K.
(
2011
), “
On the need for critical pedagogy in tourism education
”,
Tourism Management
, Vol.
32
No.
6
, pp.
1389
-
1396
, doi: .
Bilotta
,
E.
,
Bertacchini
,
F.
,
Gabriele
,
L.
,
Giglio
,
S.
,
Pantano
,
P.S.
and
Romita
,
T.
(
2021
), “
Industry 4.0 technologies in tourism education: nurturing students to think with technology
”,
Journal of Hospitality, Leisure, Sport and Tourism Education
, Vol.
29
, p.
100275
, doi: .
Boluk
,
K.
and
Carnicelli
,
S.
(
2019
), “
Tourism for the emancipation of the oppressed: towards a critical tourism education drawing on Freirean philosophy
”,
Annals of Tourism Research
, Vol.
76
, pp.
168
-
179
.
Boluk
,
K.A.
,
Muldoon
,
M.L.
and
Johnson
,
C.W.
(
2019
), “
Bringing a politics of hope to the tourism classroom: exploring an integrated curriculum design through a creative and reflexive methodology
”,
Journal of Teaching in Travel and Tourism
, Vol.
19
No.
1
, pp.
63
-
78
, doi: .
Browning
,
D.
and
Myers
,
W.T.
(
2020
),
Philosophers of Process
,
Fordham University Press
, pp.
192
-
210
.
Carnicelli
,
S.
and
Boluk
,
K.
(
2017
), “
The promotion of social justice: service learning for transformative education
”,
Journal of Hospitality, Leisure, Sport and Tourism Education
, Vol.
21
, pp.
126
-
134
, doi: .
Chen
,
C.
(
2016
),
CiteSpace: A Practical Guide for Mapping Scientific Literature
,
Nova Science Publishers
,
Hauppauge, New York, NY
, pp.
41
-
44
.
Chen
,
M.
,
Pei
,
T.
,
Jeronen
,
E.
,
Wang
,
Z.
and
Xu
,
L.
(
2022
), “
Teaching and learning methods for promoting sustainability in tourism education
”,
Sustainability
, Vol.
14
No.
21
, p.
14592
, doi: .
Coll-Ramis
,
M.A.
,
Horrach-Rosselló
,
P.
,
Genovart-Balaguer
,
J.
and
Martinez-Garcia
,
A.
(
2023
), “
Research progress on the role of education in tourism and hospitality. A bibliometric analysis
”,
Journal of Hospitality and Tourism Education
, Vol.
36
No.
4
, doi: .
Cotterell
,
R.
,
Kirov
,
C.
,
Hulden
,
M.
and
Eisner
,
J.
(
2019
), “
On the complexity and typology of inflectional morphological systems
”,
Transactions of the Association for Computational Linguistics
, Vol.
7
, pp.
327
-
342
.
Daniel
,
A.D.
,
Costa
,
R.A.
,
Pita
,
M.
and
Costa
,
C.
(
2017
), “
Tourism education: what about entrepreneurial skills?
”,
Journal of Hospitality and Tourism Management
, Vol.
30
, pp.
65
-
72
, doi: .
Darbellay
,
F.
and
Stock
,
M.
(
2012
), “
Tourism as complex interdisciplinary research object
”,
Annals of Tourism Research
, Vol.
39
No.
1
, pp.
441
-
458
, doi: .
Dewey
,
J.
(
1974
), “
Religious education as conditioned by modern psychology and pedagogy
”,
Religious Education
, Vol.
69
No.
1
, pp.
5
-
11
.
Fidgeon
,
P.R.
(
2010
), “
Tourism education and curriculum design: a time for consolidation and review?
”,
Tourism Management
, Vol.
31
No.
6
, pp.
699
-
723
, doi: .
Gao
,
S.
,
Zhuang
,
J.
and
Chang
,
Y.
(
2021
), “
Influencing factors of student satisfaction with the teaching quality of fundamentals of entrepreneurship course under the background of innovation and entrepreneurship
”,
Frontiers in Education
, Vol.
6
, p.
730616
, doi: .
Griffin
,
W.C.
(
2021
), “
The future of hospitality education: a reflection
”,
Journal of Hospitality and Tourism Research
, Vol.
45
No.
5
, pp.
939
-
941
, doi: .
Hall
,
R.
and
Smyth
,
K.
(
2016
), “
Dismantling the curriculum in higher education
”,
Open Library of Humanities
, Vol.
2
No.
1
, doi: .
Ivanic
,
R.
,
Edwards
,
R.
,
Satchwell
,
C.
and
Smith
,
J.
(
2007
), “
Possibilities for pedagogy in further education: harnessing the abundance of literacy
”,
British Educational Research Journal
, Vol.
33
No.
5
, pp.
703
-
721
, doi: .
Kim
,
A.K.
and
Davies
,
J.
(
2014
), “
A teacher’s perspective on student centred learning: towards the development of best practice in an undergraduate tourism course
”,
Journal of Hospitality, Leisure, Sport and Tourism Education
, Vol.
14
, pp.
6
-
14
, doi: .
Kim
,
H.J.
and
Jeong
,
M.
(
2018
), “
Research on hospitality and tourism education: now and future
”,
Tourism Management Perspectives
, Vol.
25
, pp.
119
-
122
, doi: .
Kunwar
,
R.R.
(
2018
), “
Tourism education, curriculum spaces, knowledge production, and disciplinary pluralism
”,
The Gaze: Journal of Tourism and Hospitality
, Vol.
9
, pp.
83
-
155
, doi: .
Lehto
,
X.
,
Kirillova
,
K.
,
Wang
,
D.
and
Fu
,
X.
(
2022
), “
Convergence of boundaries in tourism, hospitality, events, and leisure: defining the core and knowledge structure
”,
Journal of Hospitality and Tourism Research
, Vol.
48
No.
3
, doi: .
Li
,
F.
,
Zhang
,
H.
and
Wei
,
X.
(
2023
), “
Visualization analysis of research hotspots and frontiers on factors influencing urban green innovation-based on CiteSpace knowledge map
”,
Journal of Infrastructure, Policy and Development
, Vol.
7
No.
1
, pp.
1
-
27
.
Lillo-Bañuls
,
A.
and
Casado-Díaz
,
J.M.
(
2015
), “
Exploring the relationship between educational mismatch, earnings and job satisfaction in the tourism industry
”,
Current Issues in Tourism
, Vol.
18
No.
4
, pp.
361
-
375
, doi: .
Mair
,
H.
and
Sumner
,
J.
(
2017
), “
Critical tourism pedagogies: exploring the potential through food
”,
Journal of Hospitality, Leisure, Sport and Tourism Education
, Vol.
21
, pp.
195
-
203
, doi: .
McKercher
,
B.
,
Wong
,
C.U.I.
and
Ren
,
L.
(
2023
), “
Are we teaching the right things?
”,
Journal of Teaching in Travel and Tourism
, Vol.
24
No.
1
, doi: .
Mei
,
X.Y.
(
2019
), “
Gaps in tourism education and workforce needs: attracting and educating the right people
”,
Current Issues in Tourism
, Vol.
22
No.
12
, pp.
1400
-
1404
, doi: .
Meier
,
S.L.
,
Rich
,
B.S.
and
Cady
,
J.
(
2006
), “
Teachers’ use of rubrics to score non‐traditional tasks: factors related to discrepancies in scoring
”,
Assessment in Education
, Vol.
13
No.
1
, pp.
69
-
95
, doi: .
Menon
,
D.
,
Gunasekar
,
S.
,
Dixit
,
S.K.
,
Das
,
P.
and
Mandal
,
S.
(
2022
), “
Present and prospective research themes for tourism and hospitality education post-COVID19: a bibliometric analysis
”,
Journal of Hospitality, Leisure, Sport and Tourism Education
, Vol.
30
, p.
100360
, doi: .
Mínguez
,
C.
,
Martínez-Hernández
,
C.
and
Yubero
,
C.
(
2021
), “
Higher education and the sustainable tourism pedagogy: are tourism students ready to lead change in the post pandemic era?
”,
Journal of Hospitality, Leisure, Sport and Tourism Education
, Vol.
29
, p.
100329
, doi: .
Novy
,
J.
and
Colomb
,
C.
(
2019
), “
Urban tourism as a source of contention and social mobilisations: a critical review
”,
Tourism Planning and Development
, Vol.
16
No.
4
, pp.
358
-
375
, doi: .
Ogbeide
,
G.A.
,
Fu
,
L.
and
Cecil
,
A.
(
2020
), “
Are hospitality/tourism curricula ready for big data?
”,
Journal of Hospitality and Tourism Technology
, Vol.
12
No.
1
, pp.
112
-
123
, doi: .
Qiu
,
H.
,
Li
,
Q.
and
Li
,
C.
(
2021
), “How technology facilitates tourism education in COVID-19: case study of Nankai University”,
Journal of Hospitality, Leisure, Sport and Tourism Education
,
29
, p.
100288
, doi: .
Rhein
,
D.
(
2017
), “
International higher education in Thailand: challenges within a changing context
”,
Journal of Alternative Perspectives in the Social Sciences
, Vol.
8
No.
3
, pp.
281
-
298
,
available at:
Link to International higher education in Thailand: challenges within a changing contextLink to a PDF of the cited article
Sharafeddin
,
M.A.
and
Samarji
,
A.
(
2022
), “
Facilitating computing education to graduate students in journalism and public relations from Dewey’s lens: prototyping
”,
Journal of Applied Research in Higher Education
, doi: .
Slocum
,
S.L.
,
Dimitrov
,
D.Y.
and
Webb
,
K.
(
2019
), “
The impact of neoliberalism on higher education tourism programs: meeting the 2030 sustainable development goals with the next generation
”,
Tourism Management Perspectives
, Vol.
30
, pp.
33
-
42
, doi: .
Susser
,
B.
and
Ariga
,
T.
(
2006
), “
Teaching e-commerce web page evaluation and design: a pilot study using tourism destination sites
”,
Computers and Education
, Vol.
47
No.
4
, pp.
399
-
413
, doi: .
Tight
,
M.
(
2015
), “
Theory development and application in higher education research: the case of academic drift
”,
Journal of Educational Administration and History
, Vol.
47
No.
1
, pp.
84
-
99
, doi: .
Torres Valdés
,
R.M.
,
Lorenzo Álvarez
,
C.
,
Castro Spila
,
J.
and
Santa Soriano
,
A.
(
2019
), “
Relational university, learning and entrepreneurship ecosystems for sustainable tourism
”,
Journal of Science and Technology Policy Management
, Vol.
10
No.
4
, pp.
905
-
926
, doi: .
Ulker
,
P.
,
Ulker
,
M.
and
Karamustafa
,
K.
(
2022
), “
Bibliometric analysis of bibliometric studies in the field of tourism and hospitality
”,
Journal of Hospitality and Tourism Insights
, Vol.
6
No.
2
, doi: .
Valsaraj
,
B.P.
,
More
,
B.
,
Biju
,
S.
,
Payini
,
V.
and
Pallath
,
V.
(
2021
), “
Faculty experiences on emergency remote teaching during COVID-19: a multicentre qualitative analysis
”,
Interactive Technology and Smart Education
, Vol.
18
No.
3
, pp.
319
-
344
, doi: .
Ye
,
H.
and
Law
,
R.
(
2021
), “
Impact of COVID-19 on hospitality and tourism education: a case study of Hong Kong
”,
Journal of Teaching in Travel and Tourism
, Vol.
21
No.
4
, pp.
428
-
436
, doi: .
Alam
,
A.
(
2022
), “
Mapping a sustainable future through conceptualization of transformative learning framework, education for sustainable development, critical reflection, and responsible citizenship: an exploration of pedagogies for twenty-first century learning
”,
ECS Transactions
, Vol.
107
No.
1
, p.
9827
, doi: .
Chen
,
X.
,
Xie
,
H.
,
Li
,
Z.
and
Cheng
,
G.
(
2021
), “
Topic analysis and development in knowledge graph research: a bibliometric review on three decades
”,
Neurocomputing
, Vol.
461
, pp.
497
-
515
, doi: .
Doğantan
,
E.
(
2020
), “
An interactive instruction model design with role play technique in distance education: a case study in open education system
”,
Journal of Hospitality, Leisure, Sport and Tourism Education
, Vol.
27
, p.
100268
, doi: .
Dorta-Afonso
,
D.
(
2019
), “
Teaching organizational behavior in the bachelor of tourism through the case study method
”,
Journal of Hospitality, Leisure, Sport and Tourism Education
, Vol.
25
, p.
100204
, doi: .
Kozak
,
M.
and
Kozak
,
N.
(
2016
), “
Institutionalisation of tourism research and education: from the early 1900s to 2000s
”,
Journal of Tourism History
, Vol.
8
No.
3
, pp.
275
-
299
, doi: .
Liburd
,
J.J.
and
Christensen
,
I.M.F.
(
2013
), “
Using web 2.0 in higher tourism education
”,
Journal of Hospitality, Leisure, Sport and Tourism Education
, Vol.
12
No.
1
, pp.
99
-
108
, doi: .
Lordkipanidze
,
M.
,
Brezet
,
H.
and
Backman
,
M.
(
2005
), “
The entrepreneurship factor in sustainable tourism development
”,
Journal of Cleaner Production
, Vol.
13
No.
8
, pp.
787
-
798
, doi: .
Moscardo
,
G.
(
2016
), “
Building excellence in sustainable tourism: 15 years of building excellence in sustainable tourism education network (BEST EN) practice
”,
Journal of Cleaner Production
, Vol.
111
, pp.
538
-
539
, doi: .
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