Students' 21st-Century Economic Competencies in The Digital Age : Exploring The Interplay Between Artificial Intelligence, Augmented Reality, and Learning Engagement

Authors

  • Amsje Norma Winokan Universitas Negeri Manado, Indonesia
  • I Kadek Satria Arsana Universitas Negeri Manado, Indonesia
  • Joubert Mandri Dame Universitas Negeri Manado, Indonesia
  • Herman Philips Dolonseda Universitas Negeri Manado, Indonesia

DOI:

https://doi.org/10.33394/jk.v11i3.16875

Keywords:

Artificial Intelligence, Augmented Reality, Students' 21st-Century Competencies, Learning Engagement, Learning Technology

Abstract

This study aims to analyze the effect of Artificial Intelligence (AI) and Augmented Reality (AR) on high school students' 21st century economic competencies with learning engagement as a mediating variable. Using a quantitative approach with an explanatory survey design, the study involved 358 public high school students in Bitung City selected through proportional stratified random sampling. Data were collected using a 5-point Likert scale questionnaire and analyzed by Structural Equation Modeling based on Partial Least Squares (SEM-PLS) through SmartPLS 4. Results showed that AI (β = 0.364, p < 0.001) and AR (β = 0.498, p < 0.001) significantly influenced learning engagement, which in turn influenced 21st century economic competence (β = 0.654, p < 0.001). Learning engagement partially mediated the AI-competence (β = 0.238) and AR-competence (β = 0.326) relationships. The model explained 51.5% of learning engagement variance and 42.8% of 21st century economic competence variance. The findings resulted in a dual-technology competency development framework that integrates dual technology capabilities through direct and mediated pathways. Research implications emphasize the importance of differentiated learning technology implementation and teacher training that is responsive to the needs of AI-AR integration. The synergistic integration of AI and AR is proven to be a transformative catalyst in shaping students' competencies in the digital era.

References

Adamu, Suleiman, and Jamilu Awwalu. (2019). “The Role of Artificial Intelligence (AI) in Adaptive ELearning System (AES) Content Formation: Risks and Opportunities Involved.” (2012).

Akçayır, Murat, and Gökçe Akçayır. (2017). “Advantages and Challenges Associated with Augmented Reality for Education: A Systematic Review of the Literature.” Educational Research Review 20:1–11. doi: https://doi.org/10.1016/j.edurev.2016.11.002.

Almusaed, Amjad, Asaad Almssad, Ibrahim Yitmen, and Raad Z. Homod. (2023). “Enhancing Student Engagement: Harnessing ‘AIED’’s Power in Hybrid Education—A Review Analysis.” Education Sciences 13(7):632. doi: https://doi.org/10.3390/educsci13070632.

Alrashidi, Oqab, Huy P. Phan, and Bing H. Ngu. (2016). “Academic Engagement: An Overview of Its Definitions, Dimensions, and Major Conceptualisations.” International Education Studies 9(12):41. doi: 10.5539/ies.v9n12p41.

Amiruddin, Fiskia Rera Baharuddin, Takbir, and Wirawan Setialaksana. (2023). “May Student-Centered Principles Affect Active Learning and Its Counterpart? An Empirical Study of Indonesian Curriculum Implementation.” Sage Open 13(4):21582440231214376.

Bacca, Jorge, Silvia Baldiris, Ramon Fabregat, Sabine Graf, and Kinshuk. (2014). “Augmented Reality Trends in Education: A Systematic Review of Research and Applications.” Journal of Educational Technology & Society 17(4):133–49.

Bandura, Albert. (2001). “Social Cognitive Theory: An Agentic Perspective.” Annual Review of Psychology 52(1):1–26.

Bower, Matt. (2019). “Technology-Mediated Learning Theory.” British Journal of Educational Technology 50(3):1035–1048. doi: doi:10.1111/bjet.12771.

Crogman, Horace T., Victor D. Cano, Edlyn Pacheco, Rohan B. Sonawane, and Reza Boroon. (2025). “Virtual Reality, Augmented Reality, and Mixed Reality in Experiential Learning: Transforming Educational Paradigms.” Education Sciences 15(3):303. doi: https://doi.org/10.3390/educsci15030303.

Davis, Fred D. (1989). “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology.” MIS Quarterly 13(3):319–40. doi: 10.2307/249008.

Deci, Edward L., and Richard M. Ryan. (2000). “The ‘What’ and ‘Why’ of Goal Pursuits: Human Needs and the Self-Determination of Behavior.” Psychological Inquiry 11(4):227–68. doi: 10.1207/S15327965PLI1104_01.

Dede, Christopher, and John Richards. (2012). Digital Teaching Platforms: Customizing Classroom Learning for Each Student. Teachers College Press.

Dunleavy, Matt, Chris Dede, and Rebecca Mitchell. (2009). “Affordances and Limitations of Immersive Participatory Augmented Reality Simulations for Teaching and Learning.” Journal of Science Education and Technology 18(1):7–22. doi: 10.1007/s10956-008-9119-1.

Fisher, Mercedes M., and Derek E. Baird. (2020). “Humanizing User Experience Design Strategies with NEW Technologies: AR, VR, MR, ZOOM, ALLY and AI to Support Student Engagement and Retention in Higher Education.” Pp. 105–29 in International perspectives on the role of technology in humanizing higher education. Emerald Publishing Limited.

Fredricks, Jennifer A., Phyllis C. Blumenfeld, and Alison H. Paris. (2004). “School Engagement Potential of the Concept.” Review of Educational Research 74(1):59–109. doi: doi/10.3102/00346543074001059.

Gardner, H. (2011). Frames of Mind: The Theory of Multiple Intelligences. Tenth-Anni. New York: Basic Books.

Gibson, James J. (1979). “Gibson, James J. ‘The Theory of Affordances’ The Ecological Approach to Visual Perception. Boston: Houghton Mifflin, 1979. Print.” The Ecological Approach to Visual Perception 127–37.

Goldie, John Gerard Scott. (2016). “Connectivism: A Knowledge Learning Theory for the Digital Age?” Medical Teacher 38(10):1064–69. doi: https://doi.org/10.3109/0142159X.2016.1173661.

González-Pérez, Laura I., and María S. Ramírez-Montoya. (2022). “Components of Education 4.0 in 21st Century Skills Frameworks: Systematic Review.” Sustainability 14(3).

Hair, Joseph F, Jeffrey J. Risher, Marko Sarstedt, and Christian M. Ringle. (2019). “The Results of PLS-SEM Article Information.” European Business Review 31(1):2–24.

Hair, Joseph F., Jeffrey J. Risher, Marko Sarstedt, and Christian M. Ringle. (2019). “When to Use and How to Report the Results of PLS-SEM.” European Business Review 31(1):2–24. doi: 10.1108/EBR-11-2018-0203.

Holmes, Wayne, Maya Bialik, and Charles Fadel. (2019). Artificial Intelligence in Education Promises and Implications for Teaching and Learning. Vol. 478. Boston: Center for Curriculum Redesign.

Hughes, Joan, Ruth Thomas, and Cassandra Scharber. (2006). “Assessing Technology Integration: The RAT–Replacement, Amplification, and Transformation-Framework.” Pp. 1616–20 in Society for information technology & teacher education international conference. Association for the Advancement of Computing in Education (AACE).

Ibrahim, Adam, Brandon Huynh, Jonathan Downey, Tobias Hollerer, Dorothy Chun, and John O’Donovan. 2018. “ARbis Pictus: A Study of Vocabulary Learning with Augmented Reality.” IEEE Transactions on Visualization and Computer Graphics 24(11):2867–74. doi: 10.1109/TVCG.2018.2868568.

Jeilani, Abdulkadir, and Said Abubakar. 2025. “Perceived Institutional Support and Its Effects on Student Perceptions of AI Learning in Higher Education: The Role of Mediating Perceived Learning Outcomes and Moderating Technology Self-Efficacy.” P. 1548900 in Frontiers in Education. Vol. 10. Frontiers Media SA.

Kabudi, Tumaini, Ilias Pappas, and Dag Håkon Olsen. 2021. “AI-Enabled Adaptive Learning Systems: A Systematic Mapping of the Literature.” Computers and Education: Artificial Intelligence 2:100017. doi: https://doi.org/10.1016/j.caeai.2021.100017.

Kaswan, Kuldeep Singh, Jagjit Singh Dhatterwal, and Rudra Pratap Ojha. 2024. “AI in Personalized Learning.” Pp. 103–17 in Advances in technological innovations in higher education. CRC Press.

Kennedy, Teresa J., and Cheryl W. Sundberg. 2020. “21st Century Skills.” Science Education in Theory and Practice: An Introductory Guide to Learning Theory 479–96.

Kochmar, Ekaterina, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban, and Joelle Pineau. 2020. “Automated Personalized Feedback Improves Learning Gains in An Intelligent Tutoring System.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12164 LNAI(Ml):140–46. doi: 10.1007/978-3-030-52240-7_26.

Luckin, Rose, Wayne Holmes, Mark Griffiths, and Laurie B. Forcier. 2016. Intelligence-Unleashed-Publication.

Mansour, Nasser, Ceren Aras, Judith Kleine Staarman, and Sarah Bader Mohsen Alotaibi. 2024. “Embodied Learning of Science Concepts through Augmented Reality Technology.” Education and Information Technologies 1–31. doi: https://doi.org/10.1007/s10639-024-13120-0.

Milgram, Paul, and Fumio Kishino. 1994. “A Taxonomy of Mixed Reality Visual Displays.” IEICE Transactions on Information Systems 77(12):1–15.

Norman, Don. 2013. The Design of Everyday Things: Revised and Expanded Edition. New York, Basic Books.

OECD. 2016. Innovating Education and Educating for Innovation. Paris: OECD Publishing.

OECD. 2021. Pushing the Frontiers with AI, Blockchain, and Robots. Paris: OECD Publishing.

OECD. 2023. Shaping Digital Education: Enabling Factors for Quality, Equity and Efficiency. OECD Publishing.

Piaget, Jean. 1977. The Development of Thought: Equilibration of Cognitive Structures.(Trans A. Rosin). Viking.

Ringle, Christian M., Sven Wende, and Jan-Michael Becker. 2015. “SmartPLS 3. SmartPLS GmbH, Boenningstedt.” Journal of Service Science and Management 10(3):32–49.

Ryan, Richard M., and Edward L. Deci. 2020. “Intrinsic and Extrinsic Motivation from a Self-Determination Theory Perspective: Definitions, Theory, Practices, and Future Directions.” Contemporary Educational Psychology 61:101860. doi: https://doi.org/10.1016/j.cedpsych.2020.101860.

Sarstedt, Marko, Christian M. Ringle, and Joseph F. Hair. 2021. “Partial Least Squares Structural Equation Modeling.” Pp. 587–632 in Handbook of market research. Springer.

Schwab, Klaus. 2024. “Chapter 2: The Fourth Industrial Revolution: What It Means, How to Respond1.” Pp. 29–34 in. Cheltenham, UK: Edward Elgar Publishing.

Shurygin, Viktor, Roza Ryskaliyeva, Elena Dolzhich, Svetlana Dmitrichenkova, and Alexander Ilyin. 2022. “Transformation of Teacher Training in a Rapidly Evolving Digital Environment.” Education and Information Technologies 1–20. doi: https://doi.org/10.1007/s10639-021-10749-z.

Strielkowski, Wadim, Veronika Grebennikova, Alexander Lisovskiy, Guzalbegim Rakhimova, and Tatiana Vasileva. 2025. “AI‐driven Adaptive Learning for Sustainable Educational Transformation.” Sustainable Development 33(2):1921–47. doi: https://doi.org/10.1002/sd.3221.

Thornhill-Miller, Branden, Anaëlle Camarda, Maxence Mercier, Jean-Marie Burkhardt, Tiffany Morisseau, Samira Bourgeois-Bougrine, Florent Vinchon, Stephanie El Hayek, Myriam Augereau-Landais, Florence Mourey, Cyrille Feybesse, Daniel Sundquist, and Todd Lubart. 2023. “Creativity, Critical Thinking, Communication, and Collaboration: Assessment, Certification, and Promotion of 21st Century Skills for the Future of Work and Education.” Journal of Intelligence 11(3).

Tikader, Bikram. 2023. “Use of Cutting-Edge Technologies in Digital Age for Effective Teaching in Higher Education.” EPRA International Journal of Multidisciplinary Research (IJMR)-Peer Reviewed Journal 9(10):142–46.

Venkatesh, Viswanath, James Y. L. Thong, and Xin Xu. 2016. “Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead.” Journal of the Association for Information Systems 17(5):328–76. doi: 10.17705/1jais.00428.

Wang, Dan, and Xi Huang. 2025. “Transforming Education through Artificial Intelligence and Immersive Technologies: Enhancing Learning Experiences.” Interactive Learning Environments 1–20. doi: 10.1080/10494820.2025.2465451.

Wang, Xiaoman, Rui “Tammy” Huang, Max Sommer, Bo Pei, Poorya Shidfar, Muhammad Shahroze Rehman, Albert D. Ritzhaupt, and Florence Martin. (2024). “The Efficacy of Artificial Intelligence-Enabled Adaptive Learning Systems from 2010 to 2022 on Learner Outcomes: A Meta-Analysis.” Journal of Educational Computing Research 62(6):1568–1603. doi: https://doi.org/10.1177/07356331241240459.

Zhou, Chi, Di Wu, Yating Li, Harrison Hao Yang, Shuo Man, and Min Chen. (2023). “The Role of Student Engagement in Promoting Teachers’ Continuous Learning of TPACK: Based on a Stimulus-Organism-Response Framework and an Integrative Model of Behavior Prediction.” Education and Information Technologies 28(2):2207–27. doi: https://doi.org/10.1007/s10639-022-11237-8.

Zouhri, Amal, and Mostafa EL MALLAHI. (2024). “Improving Teaching Using Artificial Intelligence and Augmented Reality.” Journal of Automation, Mobile Robotics and Intelligent Systems 57–61. doi: https://doi.org/10.14313/JAMRIS/2-2024/13.

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Published

2025-09-14

How to Cite

Winokan, A. N., Arsana, I. K. S., Dame, J. M., & Dolonseda, H. P. (2025). Students’ 21st-Century Economic Competencies in The Digital Age : Exploring The Interplay Between Artificial Intelligence, Augmented Reality, and Learning Engagement. Jurnal Kependidikan, 11(3), 992–1004. https://doi.org/10.33394/jk.v11i3.16875

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