Takeaways
- AI tools can effectively reduce administrative workload by automating routine tasks such as grading, assessment, attendance tracking, and document processing, allowing educators to focus more on instruction and personalized student support (Martin et al. (2024), Bura & Myakala (2024), Chen et al. (2020)).
- AI can assist schools with complex organizational tasks such as budget decision-making, growth planning, transportation routing, and safety protocol enforcement, helping administrators make more data-informed decisions (Martin et al. (2024), Oh & Ahn (2024)).
- Despite AI's potential to democratize education, significant equity challenges persist, particularly in low-income and rural regions where infrastructure limitations and connectivity issues can exacerbate existing educational inequities (Bura & Myakala (2024), Dotan et al. (2024)).
- To address equity concerns, educational institutions should ensure students, faculty, and departments have equitable access to AI resources and literacy opportunities, with professional development for staff being particularly important (Dotan et al. (2024), Bulut et al. (2024)).
- When implementing AI systems, education leaders should establish clear guidelines for data use, algorithmic transparency, and accountability, while ensuring systems are designed to be safe, robust, transparent, explainable, and responsible (Bulut et al. (2024), Bura & Myakala (2024)).
