Role of AI Enhanced Education System in Empowering Students with Life Skills

The 21st century requires an approach to education that focuses not only on academic success, but also on life skills, or those transferable skills that ability to think critically, solve problems, learn new things, work well with others, and be creative. This dwindles in the face of traditional teaching practices, producing graduates who are ill-equipped for a society that is globalized and technology driven. Artificial Intelligence (AI) has become a game changer in education, with adaptive learning, personalization, interactivity that has direct impacts on how skills are developed. This article discusses how AI-based education systems provide life skills for students that are important for personal and professional achievement. A quantitative research methodology was used for which a stratified random sample (N=400) comprised of students, educators and administrators in higher education formed the sample. The data were gathered through a questionnaire, based on a 5-point Likert scale that included the respondents’ opinions on AI’s function as a facilitator of critical life skills. Statistical analysis A substantive statistical package (SPSS) was used to analyze the data and employed description statistics, t-tests, ANOVA and regression analysis examining group differences as well as predictive relationships. Results also suggest substantial consensus among stakeholders that AI is an important ingredient of life skill scores; educators and administrators rate AI’s importance higher than students. Computer-based adaptive learning systems, simulations, and AI tutors were found to be especially effective in fostering adaptability, problem solving, and critical thinking. A significant predictor of life skill outcomes was found to be AI adoption (regression analysis; 34% of the variance). The research) proves that integrating AI with education at higher level is instrumental when it comes to preparing the students for the challenges of 21st century. It calls for multi-level strategies policy guidelines, investment in institutions, and strategies for pedagogical change to optimize AI are feasible at the same time as ethical and equity issues are taken into consideration.