Integrating Artificial Intelligence in Teacher Education en la Frontera: Enhancing Literacy Instruction and Ethical Frameworks for Culturally Diverse Teacher Candidates

Abstract

This study introduces the concept of AITED (Artificial Intelligence in Teacher Education) to describe the integration of AI technology in teacher preparation programs. Using an action research methodology, the study aims to enhance teaching and learning outcomes for teacher candidates of Mexican descent in the Southwestern United States. The instructional intervention, grounded in an active learning approach, adjusted teaching strategies to adapt AITED to this culturally diverse population. These aspiring teachers are being prepared to serve as literacy educators in underserved, low-income communities facing declining literacy rates. The focus of the intervention is on participants’ mastery of the Science of Teaching Reading (STR). Data collection is ongoing and follows a reiterative and continuous cycle of analysis, application, and reflection. Collected data includes reflective narratives, class discussions, and various assignment artifacts. Initial findings show mixed attitudes toward AITED; while many participants were initially unaware of its potential, they grew to recognize its creative and practical utility. Participants also raised ethical concerns, particularly regarding academic integrity. In response, contrapuntal exercises were introduced, blending AI-generated content with personal demonstrations of mastery to promote balanced and ethical AI usage. The collaborative nature of the action research where participants also became stakeholders increased participants’ confidence in using AI. This study offers valuable insights for educators interested in integrating AI into teacher preparation programs, underscoring the need for ethical frameworks that ensure content mastery, uphold teacher autonomy, and maintain a culturally-responsive approach, particularly for future educators preparing for certification exams.

Presenters

Heriberto Godina
Assistant Professor of Curriculum and Instruction, Educational Programs; Literacy and Bilngual Education, Texas A&M International University, Texas, United States

Details

Presentation Type

Paper Presentation in a Themed Session

Theme

2025 Special Focus: Human Learning and Machine Learning—Challenges and Opportunities for Artificial Intelligence in Education.

KEYWORDS

AITED, Artificial Intelligence in Teacher Education, Action Research, Teacher Preparation