Factors Affecting Children’s Learning Outcome from Family Tourism in Nakhon Ratchasima Province
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Abstract
This research aimed to identify key predictors of children's learning outcomes during travel experiences in Nakhon Ratchasima Province. Utilizing Social Cognitive Learning Theory (SCLT) as a theoretical framework, the study developed a random forest regression algorithm to analyze the complex relationships between various factors influencing children's learning during family tourism. The study employed a comprehensive survey of 921 families, collecting data on SCLT-related variables, travel characteristics, and demographic factors. The model consistently displayed high predictive performance (MSE values between 0.002 and 0.004) and explanatory power (R2 values between 0.994 and 0.995). According to a significant feature analysis, problem-solving abilities, time management, and cultural understanding are the most significant factors of children's learning outcomes. The research suggests that travel experiences, rather than family structure, have a greater influence on educational benefits than demographic factors. Tourism practitioners and policymakers can use this research to design more effective family-oriented travel experiences.
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References
Li, Z.Z., Arcodia, C., Yang, E.C.L., & Le, T.H. (2024). Children’s learning processes in family travel: A narrative review through a social cognitive lens. Tourism Management Perspectives, 54, 1-11.
Miyakawa, E. & Oguchi, T. (2022). Family tourism improves parents’ well-being and children’s generic skills. Tourism Management, 88 104403. https://doi.org/10.1016/j.tourman.2021.104403
Durko, A. M., & Petrick, J. F. (2013). Family and Relationship Benefits of Travel Experiences: A Literature Review. Journal of Travel Research, 52(6), 720-730. https://doi.org/10.1177/0047287513496478
Coser, A., Sullivan, M., & Espeleta, H. (2020). Beyond the Nuclear Family: A Qualitative Examination of Extended Family Involvement Among American Indian Families, Journal of Family Strengths, 20(2), Article 3. https://doi.org/10.58464/2168-670X.1425
Bandura, A., & National Inst of Mental Health. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall, Inc.
Ashqar, R., & Ramos, C. (2024). Profiling the Motivations of Wellness Tourists Through Hotels Services and Travel Characteristics. WorldCIST 2023, LNNS 800, 110-120.
Li, J. (2024). Tourist Attraction Recommendation Model Based on RFPAP-NNPAP Algorithm. (IJACSA) International Journal of Advanced Computer Science and Applications, 15(5), 608-621.
Closs, L., Mahat, M., & Imms, W. (2022). Learning environments' influence on students' learning experience in an Australian Faculty of Business and Economics. Learn Environ Res. 25(1), 271-285. https://doi.org/10.1007/s10984-021-09361-2.
Ocal, T. (2016) The Effect of Field Trips to Historical Cultural Heritage Sites on Teacher Candidates’ Academic Knowledge and Their Sensitivity. Creative Education, 7, 376-386.
Durko, A. M., & Petrick, J. F. (2016). Family and Relationship Benefits of Travel Experiences: A Literature Review. Journal of Travel Research, 52(6), 720-730.
Sonthidechkul, U., Damapong, N., & Lertwiriyaprasith, P. (2023). Travel Factors Affecting the Travel Behavior of Family Groups in Bangkok after the COVID-19 Situation. Graduate School Journal Chiang Rai Rajabhat University, 16(1), 91-107.
Bandura, A. (1986). Social Foundations of Thought and Action: A Social Cognitive Theory. Prentice-Hall.
Schänzel, H.A., & Yeoman, I. (2015) Trends in family tourism. Journal of Tourism Futures, 1(2), 141-147.
Falk, J.H., & Dierking, L.D. (2013). The Museum Experience Revisited (1st ed.). Routledge.
Li, M., Wang, Y., Wan, Y., Huang, X., & Yang, Y. (2023). The meaning of travel: Anecdotes from children, Annals of Tourism Research, 103, 1–16. https://doi.org/10.1016/j.annals.2023.103664
Biau, G., & Scornet, E. (2016). A random forest guided tour. TEST 25, 197-227
National Statistical Office. (2023). Nakhon Ratchasima Provincial Statistics Development Plan (2023-2027), Nakhon Ratchasima Province, Complete Edition 2023.
Soper, D. S., & Soper, D. S. (2021). A-priori sample size calculator for structural equation models [software]. May 2023, https://www.danielsoper.com/statcalc.
Tveter, E. (2023). The value of travel time: a revealed preferences approach using exogenous variation in travel costs and automatic traffic count data. Transportation 50, 2273-2297. https://doi.org/10.1007/s11116-022-10308-6
Polit, D. F., & Beck, C. T. (2006). The content validity index: Are you sure you know what's being reported? Critique and recommendations. Research in Nursing & Health, 29(5), 489-497. https://doi.org/10.1002/nur.20147
Hayes, A.F., & Coutts, J.J. (2020): Use Omega Rather than Cronbach’s Alpha for Estimating Reliability. But…, Communication Methods and Measures, https://doi.org/10.1080/19312458.2020.1718629
Veal, A. J. (2017). Research Methods for Leisure and Tourism (5th ed.). Pearson.
Taherdoost, H., & Madanchian, M. (2024). The Impact of Survey Response Rates on Research Validity and Reliability. 183-211. https://doi.org/10.4018/979-8-3693-1135-6.ch009.
Peng, L., Wang, L., Ai, X.Y., & Zeng, Y.R. (2021). Forecasting Tourist Arrivals via Random Forest and Long Short-term Memory. Cogn Comput 13, 125-138.
Miao, Y., & Xu, Y. (2024). Random Forest-Based Analysis of Variability in Feature Impacts. 1130-1135. https://doi.org/10.1109/icipca61593.2024.10708791
Vasileva, O., & Balyasnikova, N. (2019). (Re)Introducing Vygotsky’s Thought: From Historical Overview to Contemporary Psychology. Front. Psychol. 10, 1515. https://doi.org/10.3389/fpsyg.2019.01515
Kolb, D. A. (2014). Experiential learning: Experience as the source of learning and development (2nd ed.). Pearson Education.
Sun, Z., Wang, G., Li, P., Wang, H., Zhang, M., & Liang, X. (2023). An improved random forest based on the classification accuracy and correlation measurement of decision trees, Expert Systems with Applications, 37(B),
Masamba, H. (2024). Cultural Influences on Parenting Styles and Child Development. International Journal of Humanity and Social Sciences, 2(3), 15-27.
Dasen, P. R. (2022). Culture and Cognitive Development. Journal of Cross-Cultural Psychology, 53(7-8), 789-816. https://doi.org/10.1177/00220221221092409
Shaffer, D. R., Kipp, K., & Wood, E. (2019). Developmental psychology: Childhood and adolescence (10th ed.). Cengage Learning.
McCormack, T., & Hoerl, C. (2017). The Development of Temporal Concepts: Learning to Locate Events in Time. Timing & Time Perception, 5(3-4), 297-327.
Teppo, M., Soobard, R., & Rannikmäe, M. (2021). A Study Comparing Intrinsic Motivation and Opinions on Learning Science (Grades 6) and Taking the International PISA Test (Grade 9). Education Sciences, 11(1), 14. https://doi.org/10.3390/educsci11010014
Vansteenkiste, M., Ryan, R. M., & Soenens, B. (2020). Basic psychological need theory: Advancements, critical themes, and future directions. Motivation and Emotion, 44(1), 1-31.
Hattie, J., & Zierer, K. (2018). 10 Mindframes for Visible Learning: Teaching for success. Routledge.
Shek, D.T., Dou, D., Zhu, X., & Chai, W. (2019). Positive youth development: current perspectives. Adolesc Health Med Ther. 10, 131-141. https://doi.org/10.2147/AHMT.S179946.
