KAWURUHKU: ARTIFICIAL INTELLIGENCE (AI)-BASED APPLICATION AS A CATALYST FOR THE PERSONALISATION OF LEARNING SYSTEMS FOR STUDENTS

About the Project

The development of Artificial Intelligence (AI) is transforming education by creating adaptive, student-centered learning environments. However, challenges such as low digital literacy, unequal access to technology, and data privacy risks continue to hinder its full potential. This study to analyze the role of AI as an educational catalyst, examine its benefits and impacts, describe its applications, identify key challenges, and propose actionable solutions. Using a descriptive qualitative approach, data were gathered through a systematic literature review of studies from 2024-2025 and online interviews with teachers experienced in AI integration. The data were analyzed using Miles and Huberman's interactive model, with source triangulation applied to ensure validity. As an innovation, this research has developed Kawuruhku, an AI-based application that supports personalised learning through its ‘AI Learning’, ‘AI Chat’, ‘Exercises’ and ‘Progress’ features. Kawuruhku is designed to analyse users’ learning patterns, tailor content and difficulty levels, provide adaptive feedback, and monitor pupils’ learning progress. The findings show that AI enhances personalized learning, boosts student motivation and engagement, and promotes inclusive education. Additionally, AI offers real-time feedback and automates administrative tasks. On the other hand, risks include cognitive dependency, information bias, plagiarism, and privacy concerns. To address primary challenges namely limited digital skills, infrastructure gaps, and data security the study recommends comprehensive teacher training, infrastructure subsidies, and strict data privacy regulations. In conclusion, while AI holds immense potential to drive student-centered learning, its successful implementation relies on robust infrastructure, teacher readiness, and sustainable policy support.