Exploring Preservice Teachers' Perception Toward the Adoption of Generative AI Tools in Mathematics Education (Poster 12)

• In Event: AERA Poster Session Thursday 5:25 p.m.
  In Poster Session: Research in Mathematics Education

Abstract

The expansion of Generative Artificial Intelligence (GenAI) brings forth both opportunities and challenges in the field of education. This research delves into pre-service teachers' perceptions (PSTs) for incorporating GenAI tools in mathematics classrooms, using a modified Unified Theory of Technology Acceptance and Use (UTAUT) framework. Key facilitators identified through semi-structured interviews include the ease of creating teaching materials and solving mathematical problems. However, barriers like concerns about accuracy, insufficient practical training, and issues related to data privacy and academic integrity hinder the adoption of GenAI tools. The study emphasizes the necessity for improved training and support in teacher education programs to facilitate responsible and seamless integration of GenAI in future mathematics classroom settings.

Authors

• Shristi Shrestha, Iowa State University

• Jiyeong Joann Yi, Iowa State University