چکیده مقاله
Contemporary educational systems face unprecedented complexity due to rapid technological changes, globalization, sociocultural diversity, and evolving labor market demands Traditional linear models of curriculum design are insufficient for addressing these challenges This paper argues that integrating systems thinking and artificial intelligence AI offers a comprehensive framework for creating adaptive, intelligent, and ethically guided educational ecosystems Systems thinking provides a holistic perspective, emphasizing feedback loops, interdependencies, and long term sustainability, while AI enables real time data collection, predictive analytics, personalized learning, and automated assessment By conceptualizing the curriculum as a dynamic system with interrelated subsystems—learners, teachers, institutions, and socio cultural contexts—AI functions as a sensor and amplifier, facilitating continuous adaptation through both corrective and reinforcing feedback The study further presents a Causal Loop Diagram CLD for Iran’s educational system, illustrating how AI and systems thinking can coalesce to enhance learning quality, curriculum coherence, and policy making Comparative insights from Finland, Singapore, and South Korea underscore the necessity of aligning technological capacity with human judgment, ethical oversight, and cultural context The paper concludes that, when thoughtfully implemented, a human–AI symbiotic curriculum can transform education from a static, linear process into an intelligent, self organizing system, offering practical pathways for reform in Iran and beyond
کلیدواژهها
نویسندگان
شیوه ارجاع
Ramroudi, Hamidreza,1404,Application of Systems Thinking and Artificial Intelligence in Education and Curriculum Planning: Toward an Intelligent Educational Ecosystem in Iran,The 4th systems thinking in practice conference,Mashhad
ارائهشده در
مجموعه مقالات چهارمین کنفرانس بین المللی تفکر سیستمی در عمل12 آذر 1404 · مشهد