Potential Abstract:
This research explores the application of genetic algorithms and distributed ledger technology to foster the development of artificial intelligence communities in rural education settings. Despite the rapid advancements in AI technologies and their potential to revolutionize education, there remains a significant gap in access and resources for rural schools and communities. By harnessing the power of genetic algorithms, which mimic the process of natural selection to optimize solutions, and leveraging the transparency and security of distributed ledger technology, this study aims to address the unique challenges faced by rural educators in adopting and implementing AI tools.
Through a mixed-methods approach, including interviews with educators, administrators, and technology experts, as well as a series of case studies in rural schools, this research will investigate the feasibility and effectiveness of using genetic algorithms and distributed ledger technology to create sustainable AI communities in rural education. By promoting collaboration, knowledge sharing, and resource allocation within these communities, the goal is to empower educators to leverage AI technologies to improve student learning outcomes, enhance professional development opportunities, and address the specific needs of rural learners.
This study contributes to the emerging field of AI in education by providing a novel framework for building and sustaining AI communities in rural settings. By combining the adaptive capabilities of genetic algorithms with the secure and transparent infrastructure of distributed ledger technology, this research offers a unique approach to democratizing access to AI tools and expertise in underserved educational contexts. The findings of this study have the potential to inform policy decisions, resource allocation strategies, and professional development initiatives aimed at bridging the digital divide in rural education.
Potential References:
- A blockchain and metaheuristic-enabled distributed architecture for smart agricultural analysis and ledger preservation solution: A collaborative approach
- Integration research of blockchain and social networks in rural management systems under fuzzy cognitive environment
- Determination Of Mineral Mining Exploration Area With Fuzzy Using Genetic Algorithm To Reduce Mining Risk
- Construction model of E-commerce agricultural product online marketing system based on blockchain and improved genetic algorithm
- Convergence of Distributed Ledger Technologies with Digital Twins, IoT, and AI for fresh food logistics: Challenges and opportunities
