THE USE OF CLAUDE AI TO IMPROVE PRE-SERVICE TEACHERS’ ABILITY IN DESIGNING TEACHING MODULES

Abstract

This study aims to analyze the use of Claude AI in improving the ability of pre-service
teachers to design teaching modules. Claude AI is an artificial intelligence-based application
developed to assist users in generating text, analyzing information, and supporting various academic
and professional needs efficiently and contextually. In the context of education, the utilization of this
technology represents a relevant innovation to enhance the quality of instructional planning in the
digital era. The research method employed is a qualitative approach using the Systematic Literature
Review (SLR) type. The SLR process was conducted through stages of identification, selection,
evaluation, and synthesis of various scientific literature relevant to the use of AI in education,
particularly in the development of teaching modules. Data were obtained from Google Scholar and
Publish or Perish, focusing on publications from the last five years. The results indicate that the use
of Claude AI can assist pre-service teachers in designing teaching modules in a more systematic,
creative, and efficient manner. In addition, Claude AI supports idea generation, content development,
and the creation of more varied learning assessments. Therefore, the integration of AI technology in
education has great potential to enhance the professional competence of pre-service teachers,
particularly in developing innovative and adaptive instructional planning in response to current
developments.