The Journal of Artificial Intelligence and Development
Vol. 1 No. 2 (2022): AI Development

Innovative Solutions for AI Contribution in Developing Socially Inclusive Education for Children

Asfahani Asfahani (Institut Agama Islam Sunan Giri Ponorogo, Indonesia)
Ayi Abdurahman (Universitas Nusa Putra, Indonesia)
Nova Krisnawati (Institut Agama Islam Negeri Kediri, Indonesia)
Anjana Prusty (SR University, India)



Article Info

Publish Date
19 Aug 2022

Abstract

This study explores the innovative solutions offered by artificial intelligence (AI) in advancing social inclusion within educational environments for children. Through a qualitative research approach involving interviews, focus groups, observational studies, and document analysis, the research investigates the potential of AI-driven interventions to address barriers to social inclusion and promote equity in education. The findings highlight stakeholders' recognition of AI's transformative potential, students' emphasis on inclusive design principles, and concerns regarding privacy and bias. Moreover, positive outcomes observed in classrooms, such as improved efficiency in personalized instruction and increased student engagement, underscore the promise of AI in fostering more equitable learning environments. However, challenges such as the digital divide and algorithmic bias necessitate further research and the development of ethical guidelines to ensure responsible deployment of AI technologies. Overall, this research contributes to understanding the role of AI in advancing children's social inclusive education and provides recommendations for future research and policy development in this critical area.

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Journal Info

Abbrev

JAI

Publisher

Subject

Computer Science & IT Environmental Science Mathematics Social Sciences Other

Description

The Journal of Artificial Intelligence and Development (e-ISSN: 3031-7428) is dedicated to the rapid dissemination of important research results to the global artificial intelligence (AI) community. The journal’s scope encompasses all areas of AI, including agents and multi-agent systems, ...