Integrating Ai and Machine Learning Technology for Educational Enhancement and Career Guidance System

Abstract

Career and education guidance is undergoing a transformative phase, especially in the context of life-long learning. Modernizing career services to meet the diverse needs of students is imperative in the age of technology. This article navigates the considerations for career services professionals, exploring the characteristics and needs of today's students, available technologies, funding requirements, and confidentiality issues. The challenge lies in creating accessible services that seamlessly connect education with employment. This paper presents a pioneering study that explores the untapped potential of artificial intelligence (AI) in revolutionizing career and education guidance, not only for higher education but also for students above the 9th standard. Drawing insights from focus groups, scenario work, and practical trials, the research provides a comprehensive view of the requirements and possibilities of integrating AI into career guidance. Perspectives from students, guidance staff, and institutions shape the findings, highlighting potential values, functions, and the driving forces and obstacles in adopting AI for career guidance. The study introduces varied modes of agency and maturity levels, establishing a framework for AI involvement in guidance processes. Future research directions include a focus on agency in guidance interaction, developing a guidance data ecosystem, and addressing ethical concerns.