Potential Abstract:
Abstract: This research article explores the potential of leveraging situated networks and the latest language model ChatGPT to enhance capitalist inference in educational settings. With the increasing integration of artificial intelligence (AI) technologies in education, there is a growing need for AI systems that can understand and infer the complex dynamics of capitalist structures and their implications for educational outcomes. Situated networks offer a promising approach by embedding AI models within the contextual fabric of educational environments, enabling them to capture the nuances of social, economic, and cultural factors that shape educational experiences.
Drawing on the recent advancements in natural language processing, the study investigates the use of ChatGPT, a state-of-the-art language model, to facilitate capitalist inference in educational contexts. ChatGPT provides a dynamic conversational interface that can engage with users in real-time, allowing for a more immersive and interactive learning experience. By incorporating knowledge from diverse sources, including textbooks, scholarly articles, and online resources, ChatGPT can harness the collective intelligence of the network to support students and educators in understanding the multifaceted dimensions of capitalist systems.
The research employs a mixed-methods approach, combining quantitative analysis and qualitative case studies, to evaluate the effectiveness of ChatGPT in enhancing capitalist inference. Quantitative measures will assess the accuracy and reliability of the AI model in capturing capitalist dynamics and predicting their impact on educational outcomes. Additionally, qualitative case studies will provide rich insights into how students and educators interact with ChatGPT and the extent to which it enhances their understanding of capitalist structures.
By situating AI models within educational networks, this research aims to bridge the gap between AI technologies and educational practice, offering a novel approach to support learners and educators in navigating capitalist systems. The findings of this study have the potential to inform the design and implementation of AI-powered educational tools that foster critical thinking, social awareness, and a deeper understanding of the complex socio-economic forces at play in educational contexts.
Potential References:
- Neural production networks: AI’s infrastructural geographies
- What chatGPT tells us about gender: a cautionary tale about performativity and gender biases in AI
- Generative and AI-powered oracles:“What will they say about you?”
- ChatGPT and marketing: Analyzing public discourse in early Twitter posts
- Prompting meaning: a hermeneutic approach to optimising prompt engineering with ChatGPT
