An Analysis of AI in Education and Skill Development

Abstract: Artificial Intelligence (AI) is increasingly becoming part of teaching, learning, assessment and skill-development activities. AI tools can support personalized learning, provide rapid feedback, assist with problem solving and help students practise technical and communication skills. At the same time, excessive or uncritical use of AI may create risks such as over-dependence, reduced independent thinking, inaccurate information, privacy concerns and academic-integrity problems. This research paper examines the relationship between AI use in education and student skill development, with particular attention to AI literacy, conceptual understanding, critical thinking, problem solving, communication and responsible use of AI. The study follows a secondary-data research design using a publicly available Kaggle dataset on academic outcomes and AI dependency, supported by findings from recent peer-reviewed research. The proposed analysis uses descriptive statistics, an independent-samples t-test, correlation analysis and regression-based interpretation. The paper argues that the educational value of AI depends less on simple frequency of use and more on purposeful, ethical and guided use that strengthens rather than replaces human skills.