AI-Enhanced E-Learning in STEM: Advancing Social Work Competencies, Management Strategies, and Holistic Skill Development

Abstract

With a particular focus on its implications for enhancing social work competences, management techniques, and holistic skill development, this study investigates the incorporation of Artificial Intelligence (AI) into e-learning platforms within STEM education. The use of AI technologies offers a revolutionary opportunity to improve learning outcomes and experiences as educational paradigms change towards digitalisation. Using a mixed-methods approach, the study examines both qualitative input from teachers and students as well as quantitative data from AI-enhanced e-learning interventions. Important discoveries highlight how AI may help with adaptive assessments, learning route personalisation, and the development of critical thinking and problem-solving abilities—all of which are crucial for social work practice. Effective management techniques for integrating AI tools in classrooms are also found, highlighting the significance of educating teachers and guaranteeing that every student has fair access to technology. The study emphasises the value of developing skills holistically, recognising emotional intelligence and intercultural competency as essential elements for aspiring social workers in a multicultural and ever-changing setting. This study adds to the expanding corpus of research on AI-enhanced education by offering practical suggestions for educators and policymakers, promoting the technology's potential to spur meaningful learning experiences in STEM fields, especially social work.