Potential Abstract: This research article explores the integration of artificial intelligence (AI) technologies in educational simulations to investigate the impact of social scales within capitalist systems. Traditional educational simulations have often overlooked the intricate interactions and feedback loops that emerge at different scales of social organization. By leveraging AI techniques, this study aims to enhance the fidelity of educational simulations by dynamically modeling and analyzing the complex social dynamics present in capitalist systems.
In this research, we apply an AI-based approach to simulate and analyze different social scales within a capitalist system. The AI model is trained using extensive historical data on economic and social indicators, allowing for the creation of realistic synthetic economies. By incorporating AI, we can systematically explore the effects of altering various social scales, such as individual decision-making, group dynamics, and macroeconomic policies, on the overall system behavior.
Through this research, we aim to address important questions regarding the reciprocal relationship between social scales and capitalist systems. Specifically, we investigate how changes in social scales impact economic growth, income inequality, social mobility, and overall societal well-being. By running numerous simulations, we can identify patterns and relationships that are difficult to observe in real-world scenarios.
The results of this study have significant implications for education, policy-making, and societal understanding. By uncovering the intricate interplay between social scales and capitalism, we can inform educational strategies that foster critical thinking skills, system thinking, and a deeper understanding of complex socio-economic systems. Additionally, the insights gained from this research can guide policy-makers in making informed decisions on macroeconomic policies that shape societies and impact individuals.
Potential References:
- Artificial Intelligence in the Capitalist University: Academic Labour, Commodification, and Value
- Artificial intelligence, artificial teachers and the fate of learners in the 21st century education sector: Implications for theory and practice
- Algorithms of Education: How datafication and artificial intelligence shape policy
- A pedagogy of data and Artificial Intelligence for student subjectification
- Managing ambiguities at the edge of knowledge: Research strategy and artificial intelligence labs in an era of academic capitalism
