• Proactive and reactive engagement of artificial intelligence methods for education
• Adaptive learning systems: exploring how can AI personalize learning pathways to individual student needs, strengths, and learning styles in Africa
• Predictive analytics: investigating how AI can predict student performance, risk of dropping out, or need for additional support based on data analysis.
• Personalized learning for underserved communities: exploring how can AI be used to design culturally relevant and engaging learning experiences for students in underserved communities while addressing potential equity gaps.
• The impact of AI on the teaching profession: exploring how AI will reshape the role of educators and learners as well as their skills. 
• Provide training and support educators and learners they need to effectively utilize and adapt to AI and emerging technologies in teaching and learning