INTEGRATING MOTIVATION STRATEGIES WITH PROBLEM-BASED LEARNING, GAMIFICATION, AND DIGITAL PEDAGOGY TO ENHANCE STUDENTS’ CREATIVE ENGAGEMENT
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Abstract:
This study investigates the integration of motivational strategies with problem-based learning (PBL), gamification, and digital pedagogy to enhance students’ creative engagement in higher education. Drawing on established motivational theories, including those proposed by Lev Vygotsky and Edward Deci, the research explores how intrinsic and extrinsic motivation can be effectively aligned with innovative teaching methodologies. A quasi-experimental design was employed involving two groups of undergraduate students: a control group exposed to traditional instruction and an experimental group taught through an integrated model combining PBL, gamified elements, and digital tools. The findings indicate a statistically significant improvement in students’ creative thinking, engagement, and problem-solving abilities in the experimental group. The study concludes that the synergy between motivation strategies and digital pedagogical approaches creates a dynamic learning environment that fosters higher-order thinking skills and learner autonomy
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References:
Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268.
Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions. Contemporary Educational Psychology, 61, 101860.
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
Hmelo-Silver, C. E. (2004). Problem-based learning: What and how do students learn? Educational Psychology Review, 16(3), 235–266.
Barrows, H. S. (1986). A taxonomy of problem‐based learning methods. Medical Education, 20(6), 481–486.
Savery, J. R. (2015). Overview of problem-based learning: Definitions and distinctions. Interdisciplinary Journal of Problem-Based Learning, 1(1), 9–20.
Deterding, S., Dixon, D., Khaled, R., & Nacke, L. (2011). From game design elements to gamefulness: Defining “gamification”. Proceedings of the 15th International Academic MindTrek Conference, 9–15.
Hamari, J., Koivisto, J., & Sarsa, H. (2014). Does gamification work? A literature review of empirical studies. Proceedings of the 47th Hawaii International Conference on System Sciences, 3025–3034.
Domínguez, A., et al. (2013). Gamifying learning experiences: Practical implications and outcomes. Computers & Education, 63, 380–392.
Kapp, K. M. (2012). The gamification of learning and instruction. Pfeiffer.
Mayer, R. E. (2020). Multimedia learning (3rd ed.). Cambridge University Press.
Laurillard, D. (2012). Teaching as a design science: Building pedagogical patterns for learning and technology. Routledge.
Selwyn, N. (2016). Education and technology: Key issues and debates. Bloomsbury Academic.
Redecker, C. (2017). European framework for the digital competence of educators: DigCompEdu. Publications Office of the European Union.
UNESCO. (2023). Digital learning and transformation of education. UNESCO Publishing.
Torrance, E. P. (1974). Torrance tests of creative thinking. Scholastic Testing Service.
Guilford, J. P. (1967). The nature of human intelligence. McGraw-Hill.
Amabile, T. M. (1996). Creativity in context. Westview Press.
Csikszentmihalyi, M. (1996). Creativity: Flow and the psychology of discovery and invention. HarperCollins.
Biggs, J., & Tang, C. (2011). Teaching for quality learning at university (4th ed.). McGraw-Hill Education.
Prince, M. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93(3), 223–231.
Freeman, S., et al. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410–8415.
Anderson, L. W., & Krathwohl, D. R. (2001). A taxonomy for learning, teaching, and assessing. Longman.
Siemens, G. (2005). Connectivism: A learning theory for the digital age. International Journal of Instructional Technology and Distance Learning, 2(1), 3–10.
Johnson, D. W., Johnson, R. T., & Smith, K. A. (2014). Cooperative learning: Improving university instruction. Journal on Excellence in College Teaching, 25(3–4), 85–118.

