Integrating Artificial Intelligence into Early Childhood Education Policy in Pakistan: Challenges, Opportunities, and Recommendations
Year: 2024
Type: article
Abstract: This study aims to explore the perspectives of key stakeholders policymakers, educators, parents, and experts on AI integration in ECE in Pakistan. It identifies challenges, evaluates existing policy gaps, and proposes recommendations for effective AI integration. The integration of Artificial Intelligence (AI) in early childhood education (ECE) has shown potential for enhancing learning experiences globally. However, in Pakistan, AI remains underutilized in ECE policies, which raises questions about the barriers and opportunities for its adoption in the country's educational system. A qualitative research design was employed, using semi-structured interviews and focus groups to collect data from 30 participants, including policymakers, education experts, teachers, and parents. Findings reveal that while stakeholders recognize the benefits of AI for personalized learning, challenges such as infrastructure limitations, cultural barriers, and ethical concerns about data privacy exist. Current ECE policies lack provisions for AI integration. The study recommends that Pakistan's ECE policies incorporate AI training for educators, invest in digital infrastructure, and develop culturally appropriate AI tools to promote inclusivity and equity in education.
Authors: Abdul Qayyum, Tahira Sadiqi, Muhammad Ansar Abbas
Institution: University of Jhang
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4405322241