Transformation of Humanistic Education in Learners through the Implementation of Artificial Intelligence

Abstract

This research aims to 1) To analyze the application of AI in Learning. 2) To analyze Social and Emotional Skills through AI. 3) To classify the Challenges in AI Integration on Humanistic Education. The data collection method used is the documentation method. The data analysis techniques used are data reduction, data presentation and conclusion drawing. Research results indicate 1) The application of artificial intelligence (AI) in learning personalization has a significant impact on increasing the relevance, effectiveness, and motivation of students to learn. 2) The application of AI in education contributes not only to cognitive aspects, but also significantly supports the development of learners' social and emotional skills. 3) This study found that the integration of AI in humanistic education faces four main challenges that need serious attention, namely: a) Reduction of the Humanistic Dimension and the Role of the Teacher: AI is able to automate the learning process but cannot replace the role of teachers in building empathy, shaping character, and establishing interpersonal interactions. b) Technology Access Gap: Differences in infrastructure, digital literacy, and device availability mean that AI implementation has the potential to widen the education gap between developed and underdeveloped regions. c) Ethics and Data Privacy: The use of AI that relies on the collection of students' personal data poses a risk of leakage, misuse, and privacy violations especially in the midst of the lack of data protection regulations. d) Over-Dependence on AI: Overuse of AI can reduce learning independence, critical thinking, creativity, and social interaction, and even trigger anxiety and isolation.