Authors
- Patarakin Yevgeny D. Doctor of Education Sciences, Associate Professor
- Salimullin Karim D.
Annotation
Agent-Based Modeling (ABM) has emerged as a powerful tool for simulating complex systems across various disciplines, particularly in educational contexts. This paper explores the intrinsic connection between ABM and learning design thinking, highlighting how both approaches converge to foster modeling thinking among learners. Recognizing the growing importance of computational thinking in education, the research investigates how ABM can serve as a powerful tool for simulating complex adaptive systems and enhancing students’ engagement in learning processes. Utilizing Semantic MediaWiki the research employed a structured approach to facilitate the design and implementation of ABM within teacher education programs, allowing for dynamic interaction and the development of competencies in modeling thinking. Findings indicate that engaging with ABM not only enhances students’ understanding of complex concepts but also equips them with essential computational thinking skills. The framework demonstrated that students’ roles as model designers foster creativity and leading to deeper comprehension of classroom dynamics as complex systems. As students assume the role of model designers, they cultivate creativity and problem-solving abilities that are essential for navigating both classroom dynamics and broader learning design challenges. The research concludes that bridging the gap in computational thinking education across disciplines is crucial for preparing future educators.
How to link insert
Patarakin, Y. D. & Salimullin, K. D. (2025). BRIDGING AGENT-BASED MODELING AND LEARNING DESIGN Bulletin of the Moscow City Pedagogical University. Series "Pedagogy and Psychology", 19 (1), 157. https://doi.org/10.24412/2076-9121-2025-1-77-157-173
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