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.