Rural Educational Setting - The Implementation of Artificial Intelligence in Future

Sammy E.

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Rural Educational Setting - The Implementation of Artificial Intelligence in Future

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Themes

Human values, artificial intelligence, education system, education, challenges, literature review, theories, futurist, new technologies, learning, skills, training, autonomy, sustainable development, socio-cultural factors, digitalization

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Abstract

The emergence of AI in rural educational contexts represents a case in point, since the challenges of AI implementation are more pronounced in these settings. While AI has fantastic potential to transform the education process by providing individual experience, automating administrative tasks, and gaining insight through data analysis, some obstacles hamper things that could be improved in integrating technology into rural schools. Akgun and Greenhow posit that the technical infrastructure in rural areas needs to be improved; thus, there need to be more advanced technologies like the Internet, which leads to low productivity in professions like farming (Akgun & Greenhow, 2022). One of the biggest challenges most schools face lies in financing reliable electricity and Internet connectivity; these are the most critical factors that AI-driven educational tools and platforms need.

A Rural Educational Setting in a Developing Country
1. Digital Educational Challenges
2. Definition and Explanation of AI
Literature Review
Futures Thinking and The Anticipated Probable Future for The Implementation of AI
1. Future theories on the implementation of AI
2. Ideal situation in a rural educational setting in a developing country
3. The way forward in rural educational settings in a developing country
Preferred future aimed at mitigating the negative impacts of AI
Social, cultural, and political challenges that interfere with the pursuit of the future use of AI

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[...] K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., ? Williams, M. D. (2021). Artificial Intelligence Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management 101994-. https://doi.org/10.1016/j.ijinfomgt.2019.08.002 Farrow, E. (2021). Mindset matters: how mindset affects the ability of staff to anticipate and adapt to Artificial Intelligence future scenarios in organisational settings. AI & Society, 895-909. https://doi.org/10.1007/s00146-020-01101-z Holmes, W., & Tuomi, I. [...]

[...] Understanding essential competencies is vital for effective AI education, with IBM identifying key competencies crucial for future job success. Sanusi et al. add that cultural, teamwork, self-learning competencies, and ethics significantly influence educational AI content. The paper employs structural equation modelling to analyse these relationships, aiming to inform the development of context-specific AI educational resources. An article by Holmes and Tuomi notes that many AI-assisted educational apps are available, from language translation to mathematics assistance. However, concerns arise regarding their potential to undercut traditional learning methods (Holmes & Tuomi, 2022). [...]

[...] However, there are also questions of job displacement, ethical considerations, and the worsening of societal inequalities that this future entails. Being able to imagine these possible outcomes is not just about research and prediction; it also involves coming up with policies that will help the AI innovation drive to foster positive change in society, such as equity, ethics, and socio-economic impact. Future theories on the implementation of AI - Inayatullah Theory Sohail Inayatullah is a futurist who has used Causal Layered Analysis (CLA) in future studies (Mohammadi et al., 2018). [...]

[...] Part Literature Review In the article "Intelligence Unleashed," Alam contends that new technologies spurred radical changes in teaching and learning methods (Alam, 2023). The inclusion of AI in educational settings is proliferating because of the diligent development of AI technology in recent years. Alam describes the current applications of educational AI, such as adaptive learning, smart campuses, teacher evaluation, intelligent tutoring robots, and virtual classrooms(Alam, 2023). This article discusses the advantages and disadvantages of AI applications in education and how AI may help schools improve the system. [...]

[...] In this case, AI implementation is perceived as an event set at a determined technological maturity level that can only alter the existing state of society independently from the domain and aims of this scientific achievement (Farrow, 2021). On the other hand, advocates of social determinism regarding the development of AI argue the opposite and say that it is not only the technological elements that determine the direction in which AI will go but also the social and political factors. [...]

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