Artificial Intelligence and Access to Childcare Support for Working Mothers in Lagos: Implications for Early Childhood Teacher Training and Workforce Development
Lemchi, Stella Ngozi, Mbah, Cynthia Adaku
Advances in Research · pp. 307–317 · Published 9 Jul 2026
10.9734/air/2026/v27i41674Abstract
This study investigated the role of artificial intelligence (AI) in enhancing access to childcare support for working mothers in Lagos, Nigeria, and examined its implications for early childhood teacher training and workforce development. As urbanisation and women’s labour-force participation increase, the demand for affordable and flexible childcare solutions continues to exceed available provision in Lagos. AI-powered technologies, including automated childcare applications, virtual monitoring systems and intelligent scheduling platforms, are emerging as tools that may help address gaps in childcare support. The study assessed awareness, accessibility and utilization of AI-enabled child caretools among working mothersin Lagos, and examined how these tools relate to care practices and professional training needs in early childhood education. A mixed-methods research design was adopted. The study population comprised approximately two million working mothers in Lagos State, while a sample size of 400 respondents was determined using Taro Yamane’s sample-size formula. Data were collected from working mothers, early childhood educators and policy stakeholders through structured questionnaires, interviews and focus group discussions. Quantitative data were analysed using descriptive statistics, including mean and standard deviation, while SPSS version 27 was used to identify trends and relationships. Qualitative data were used to explore user experiences and policy perspectives. The findings showed that awareness of AI-enabled childcare tools was significantly higher than accessibility and utilisation. Although some mothers were aware of these tools, they reported barriers to access and consistent use. The study provides evidence-based insights for curriculum development in teacher education and for policy design aimed at the careful integration of AI technologies into childcare systems in Lagos and comparable urban settings.
Cited by 0
No indexed citations yet.
Related research
- Prevalence and Risk Factors for Pulmonary Mycobacteriosis in Lagos, Nigeria — shares topic coverage
- Prevalence of Human Papilloma Virus DNA in HIV Positive Women in Lagos University Teaching Hospital (LUTH) Lagos, Nigeria — shares topic coverage
- Evaluation of Technical Innovations in Bus Rapid Transit System in Lagos State, Nigeria — shares topic coverage
- Impact of Lagos Eko Secondary Education Project on Academic Performance of Students in West Africa Senior School Certificate Examinations — shares topic coverage
- Seasonal Variation in Heavy Metal Content of Tongue Sole, Cynoglossus brownii and Croaker, Pseudotolithus typus from Lagos and Delta States, Nigeria — shares topic coverage
Article metrics
Real usage data collected on this platform.
35
Page views
0
PDF downloads
4
Outbound clicks
0
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.