An Exploration of Predictors of STEM Knowledge Integration among Generation Z Students: Focusing on 21st Century Skills

• Naksit Sakdapat ^[1] ; Pawit Yuangngoen ^[2] ; Pannika Ngamcharoen ^[3] ; Vaewan Kongtraipop ^[1] ; Duchduen Emma Bhanthumnavin ^[4]
  1. [1] University of the Thai Chamber of Commerce

     University of the Thai Chamber of Commerce

     Tailandia

     
  2. [2] Kasetsart University

     Kasetsart University

     Tailandia

     
  3. [3] Srinakharinwirot University

     Srinakharinwirot University

     Tailandia

     
  4. [4] Graduate School of Social Development and Management Strategy, National Institute of Development Administration, Thailand

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• Localización: Foro de Educación, ISSN-e 1698-7802, ISSN 1698-7799, Vol. 23, Nº. 2, 2025, págs. 84-110
• Idioma: inglés
• DOI: 10.14201/fde.23205
• Enlaces
  • Texto completo  1    2  
• Resumen

  • This study seeks to predict and examine the factors influencing the degree of Science, Technology, Engineering, and Mathematics (STEM) knowledge integration among Generation Z students. Specifically, it aims to evaluate and compare the relative significance of three primary categories of explanatory variables: (1) variables related to experiential tourism, (2) variables pertaining to learning management models, and (3) variables associated with STEM skills. Adopting a predictive quantitative research design, this study gathered data from a sample of 840 Generation Z students, aged between 18 and 22, enrolled in tourism and hospitality programmes. The sample size was determined using G\*Power software and selected through a multi-stage quota random sampling technique. Data were collected via eleven summated rating scale questionnaires, each comprising six response options. The instruments yielded an average reliability coefficient of 0.794. Additionally, problem-solving skills exhibited a strong positive correlation with critical thinking skills (r = 0.692), highlighting the pivotal role of analytical competencies in interdisciplinary knowledge integration. These results underscore the critical value of instructional designs that foster active participation and cognitive engagement. The findings affirm a moderately strong positive association between STEM knowledge integration and several key variables, particularly student engagement, experiential learning, and problem-solving skills.

• Referencias bibliográficas
  • Abdulwahed, M. & Nagy, Z. K. (2009). Applying Kolb’s Experiential Learning Cycle for Laboratory Education. Journal of Engineering Education,...
  • Ainley, J. (2011). Student engagement with science in early adolescence: The contribution of enjoyment to students’ continuing interest in...
  • Ainscow, M. (2020). Promoting inclusion and equity in education: lessons from international experiences. Nordic Journal of Studies in Educational...
  • Amineh, R. J. & Asl, H. D. (2015). Review of Constructivism and Social Constructivism. Journal of Social Sciences, Literature and Languages,...
  • Barron, B. & Darling-Hammond, L. (2008). Teaching for Meaningful Learning: A Review of Research on Inquiry-Based and Cooperative Learning....
  • Barrows, H. S. & Tamblyn, R. M. (1980). Problem-Based Learning: An Approach to Medical Education. Springer Publishing Company.
  • Beard, C. & Wilson, J. P. (2018). Experiential Learning: A Practical Guide for Training, Coaching and Education (4th ed.). Kogan Page...
  • Bell, P. (2010). Experiential Learning Through a Health Professional Shadowing Program. Journal of Cooperative Education and Internships,...
  • Beymer, P. N., Ferland, M. & Flake, J. K. (2021). Validity Evidence for a Short Scale of College Students’ Perceptions of Cost. Current...
  • Biggs, J. (1999). What the Student Does: teaching for enhanced learning. Higher Education Research & Development, 18(1), pp. 57-75. doi:...
  • Blair, P. D. (2016). The evolving role of the US National Academies of Sciences, Engineering, and Medicine in providing science and technology...
  • Bransford, J. D., Brown, A. L. & Cocking, R. R. (2000). How People Learn: Brain, Mind, Experience, and School: Expanded Edition. Washington...
  • Burman, J. T. (2008). Experimenting in Relation to Piaget: Education is a Chaperoned Process of Adaptation. Perspectives on Science, 16(2),...
  • Bybee, R. W. (2013). The Case for STEM Education: Challenges and Opportunities. National Science Teachers Association.
  • Catana, M. M. & Brilha, J. B. (2020). The Role of UNESCO Global Geoparks in Promoting Geosciences Education for Sustainability. Geoheritage,...
  • Cilliers, J., Fleisch, B., Prinsloo, C. & Taylor, S. (2018). How to Improve Teaching Practice? Experimental Comparison of Centralized...
  • Cohen, B. H. (2008). Explaining Psychological Statistics. John Wiley & Sons.
  • Crompton, H. (2023). Evidence of the ISTE Standards for Educators leading to learning gains. Journal of Digital Learning in Teacher Education,...
  • Desselle, S. P. (2005). Construction, Implementation, and Analysis of Summated Rating Attitude Scales. American Journal of Pharmaceutical...
  • Dori, Y. J., Mevarech, Z. R. & Baker, D. R. (2018). Cognition, Metacognition, and Culture in STEM Education. Springer International Publishing....
  • Eccles, J. S., O’Neill, S. A. & Wigfield, A. (2005). Ability Self-Perceptions and Subjective Task Values in Adolescents and Children....
  • Faul, F., Erdfelder, E., Buchner, A. & Lang, A.-G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression...
  • Findley, W. G. (1956). A Rationale for Evaluation of Item Discrimination Statistics. Educational and Psychological Measurement, 16(2), pp....
  • Fredricks, J. A., Blumenfeld, P. C. & Paris, A. H. (2004). School Engagement: Potential of the Concept, State of the Evidence. Review...
  • Gault, J., Redington, J. & Schlager, T. (2000). Undergraduate Business Internships and Career Success: Are They Related? Journal of Marketing...
  • Gilbert, A. D. (2016). The Framework for 21st Century Learning: A first-rate foundation for music education assessment and teacher evaluation....
  • Gui, M. & Argentin, G. (2011). Digital skills of internet natives: Different forms of digital literacy in a random sample of northern...
  • Hair Jr, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2010). Multivariate Data Analysis. In (7th ed.). Prentice Hall.
  • Hajjar, S. T. (2018). Statistical Analysis: Internal-Consistency Reliability and Construct Validity. International Journal of Quantitative...
  • Harrington, D. (2009). Confirmatory Factor Analysis. Oxford University Press. doi: https://doi.org/10.1093/acprof:oso/9780195339888.001.0001
  • Hossan, D., Dato’ Mansor, Z. & Jaharuddin, N. S. (2023). Research Population and Sampling in Quantitative Study. International Journal...
  • Johnson, D. W. & Johnson, R. T. (2015). Theoretical Approaches to Cooperative Learning. In R. Gillies (Ed.), Collaborative Learning: Developments...
  • Jonassen, D. H. (2010). Learning to Solve Problems: A Handbook for Designing Problem-Solving Learning Environments. Routledge. doi: https://doi.org/10.4324/9780203847527
  • Kang, H. (2021). Sample Size Determination and Power Analysis Using the G*Power Software. Journal of Educational Evaluation for Health Professions,...
  • Kılıç, S. (2016). Cronbach’s Alpha Reliability Coefficient. Psychiatry and Behavioral Sciences, 6(1), pp. 47-48. doi: https://doi.org/10.5455/jmood.20160307122823
  • Knifsend, C. A. (2018). Intensity of Activity Involvement and Psychosocial Well-Being Among Students. Active Learning in Higher Education,...
  • Kolb, D. A. (2014). Experiential Learning: Experience as the Source of Learning and Development. FT Press.
  • Lavi, R., Tal, M. & Dori, Y. J. (2021). Perceptions of STEM alumni and students on developing 21st century skills through methods of teaching...
  • Maelia, W. E. (2023). The Effects of a Science Research Program and Experiential Learning Opportunity on High School Student Engagement in...
  • Manzoni, B., Caporarello, L., Cirulli, F. & Magni, F. (2020). The Preferred Learning Styles of Generation Z: Do They Differ from the Ones...
  • Markides, C. (2005). Disruptive Innovation: In Need of Better Theory. Journal of Product Innovation Management, 23(1), pp. 19-25. doi: h t...
  • Merchant, G., Weibel, N., Patrick, K., Fowler, J. H., Norman, G. J., Gupta, A., et al. (2014). Click “Like” to Change Your Behavior: A Mixed...
  • National Research Council. (2012). A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas. Washington, DC:...
  • Nicholas & Arlene, J. (2020). Preferred Learning Methods of Generation Z. Proceedings of the Northeast Business & Economics Association....
  • O’Brien, R. M. (2007). A Caution Regarding Rules of Thumb for Variance Inflation Factors. Quality & Quantity, 41(5), pp. 673-690. doi:...
  • Pekrun, R. & Linnenbrink-Garcia, L. (2012). Academic Emotions and Student Engagement. In S. Christenson, A. Reschly, & C. Wylie (Eds.),...
  • Petrocelli, J. V. (2003). Hierarchical Multiple Regression in Counseling Research: Common Problems and Possible Remedies. Measurement and...
  • Picton, R. (2023). Mind The Gap: A constructivist Grounded Theory Exploring the Role of Social Media in Augmenting the Professional Learning...
  • Prensky, M. (2008). The Role of Technology. Educational Technology, 48(6), pp. 1-3. Retrieved from https://marcprensky.com/writing/Prensky-The_Role_of_Technology-ET-11-12-...
  • Puth, M.-T., Neuhäuser, M. & Ruxton, G. D. (2014). Effective use of Pearson’s product–moment correlation coefficient. Animal Behaviour,...
  • Reeve, J. (2012). A Self-determination Theory Perspective on Student Engagement. In S. Christenson, A. Reschly, & C. Wylie (Eds.), Handbook...
  • Renninger, K. A., Hidi, S., Krapp, A. & Renninger, A. (1992). The Role of Interest in Learning and Development. Psychology Press. doi:...
  • Richard, J. M., Castro, D. C., Difeliceantonio, A. G., Robinson, M. J. F. & Berridge, K. C. (2013). Mapping brain circuits of reward and...
  • Roberts, J. W. (2012). Beyond Learning by Doing: Theoretical Currents in Experiential Education (1st ed.). Routledge. doi: https://doi.org/10.4324/9780203848081Sailer,...
  • Sailer, M. (2020). Gamification of in‐class activities in flipped classroom lectures. British Journal of Educational Technology, 52(1), pp....
  • Sakdapat, N., Ngamcharoen, P., Cheewakoset, R. & Bhanthumnavin, D. E. (2024). Guidelines for the Development and Promotion of Global Citizenship...
  • Salas, E., Cooke, N. J. & Rosen, M. A. (2008). On Teams, Teamwork, and Team Performance: Discoveries and Developments. Human Factors:...
  • Schweingruber, H., Pearson, G. & Honey, M. (2014). STEM Integration in K-12 Education: Status, Prospects, and an Agenda for Research....
  • Seemiller, C. & Grace, M. (2016). Generation Z Goes to College. John Wiley & Sons.
  • Seibert, S. A. (2021). Problem-based learning: A strategy to foster generation Z’s critical thinking and perseverance. Teaching and Learning...
  • Sharan, S. & Tan, I. G. C. (2008). Student Engagement in Learning. In Organizing Schools for Productive Learning (pp. 41-45). Springer...
  • Siemens, G. (2005). Learning Development Cycle: Bridging Learning Design and Modern Knowledge Needs. Elearnspace Everything Elearning, 48(9),...
  • Sikandar, A. (2016). John Dewey and His Philosophy of Education. Journal of Education and Educational Development, 2(2), pp. 191-121. doi:...
  • Sobel, D. (2004). Place-Based Education: Connecting Classrooms and Communities. Education for Meaning and Social Justice, 17(3), pp. 63-64....
  • Soderstrom, N. C. & Bjork, R. A. (2015). Learning Versus Performance. Perspectives on Psychological Science, 10(2), pp. 176-199. doi:...
  • Stolzenberg, R. M. (2004). Multiple Regression Analysis. In M. Hardy & A. Bryman (Eds.), Handbook of Data Analysis (pp. 165-207). SAGE...
  • Sviatko, M. (2024). Learning by Doing: Why Project-Based Learning Proves to Be an Effective Method for Developing Self-regulation and Other...
  • Tal, T., Krajcik, J. S. & Blumenfeld, P. C. (2006). Urban Schools’ Teachers Enacting Project‐Based Science. Journal of Research in Science...
  • Thibaut, L., Ceuppens, S., Loof, H. D., Meester, J. D., Goovaerts, L., Struyf, A., et al. (2018). Integrated STEM Education: A Systematic...
  • Thomas, J. W. (2000). A Review of Research on Project-Based Learning. The Autodesk Foundation. Retrieved from https://tecfa.unige.ch/proj/eteach-net/Thomas_researchreview_PBL.pdf
  • Thornhill-Miller, B., Camarda, A., Mercier, M., Burkhardt, J.-M., Morisseau, T., Bourgeois-Bougrine, S., et al. (2023). Creativity, Critical...
  • Turner, R. C. & Carlson, L. (2003). Indexes of Item-Objective Congruence for Multidimensional Items. International Journal of Testing,...
  • Van Der Vlies, R. (2020). Digital strategies in education across OECD countries: Exploring education policies on digital technologies (OECD...
  • VanTassel-Baska, J. & Wood, S. M. (2023). The Integrated Curriculum Model. In J. S. Renzulli, E. J. Gubbins, K. S. McMillen, R. D. Eckert,...
  • Vogel, A. (2023). Be Skeptical, Save Time: Teaching Generation Z to Determine the Credibility of Online Information (Doctoral dissertation,...
  • Vuojärvi, H., Eriksson, M. & Vartiainen, H. (2019). Cross-boundary collaboration and problem-solving to promote 21st century skills—Students’...
  • Wentzel, K. R. & Miele, D. B. (2009). Engagement and Disaff ection as Organizational Constructs in the Dynamics of Motivational Development....
  • Wertsch, J. V. & Sohmer, R. (1995). Vygotsky on Learning and Development. Human Development, 38(6), pp. 332-337. doi: https://doi.org/10.1159/000278339
  • World Economic Forum. (2023, April 30). The Future of Jobs Report 2023. Retrieved from https://www.weforum.org/publications/the-future-of-jobs-report-2023/digest
  • Xiang, Z., Magnini, V. P. & Fesenmaier, D. R. (2015). Information technology and consumer behavior in travel and tourism: Insights from...
  • Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., et al. (2021). A Review of Artificial Intelligence (AI) in Education...
  • Zohar, A. & Dori, Y. J. (2003). Higher Order Thinking Skills and Low-Achieving Students: Are They Mutually Exclusive? Journal of the Learning...