Exploring the Impact of Generative AI on Curriculum Design and Instruction: A Study with Preservice Teachers

Generative Artificial Intelligence (GenAI) is transforming education by reshaping curriculum design, individualized learning, and professional collaboration. This interpretive study examines how seventy preservice teachers engaged with GenAI through structured learning experiences focused on lesson planning, content development, and reflective practice. Participants, all fourth-year PK–Grade 5 and intervention specialist candidates at the University of Dayton, completed a co-taught seminar led by methods professors in science, social studies, language arts, and mathematics. Data sources included initial reflections on GenAI’s role in education, documentation of prompt exploration, and ongoing reflections during the seminar. Thematic analysis revealed a shift in preservice teachers’ understanding from viewing GenAI as a simple lesson-planning tool to recognizing its potential for differentiation, assessment, and parent communication. Participants demonstrated increasing sophistication, ethical awareness, and confidence in using GenAI to enhance instruction. Findings indicate that intentional professional development enhances preservice teachers’ GenAI literacy and confidence, supporting thoughtful integration of emerging technologies into teaching practice. The study advocates for embedding GenAI training within teacher education programs to cultivate innovation, ethical practice, and inclusivity in future classrooms.

Authors

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2026-01-01
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the Impact of Generative AI on Curriculum Design and Instruction: A Study with Preservice Teachers

Jackie Marshall Arnold, Vanessa Winn, Lindsay Ann Gold
SHILAP Revista de lepidopterología
Teaching and Learning Programming
article

Exploring the Impact of Generative AI on Curriculum Design and Instruction: A Study with Preservice Teachers

Jackie Marshall Arnold, Vanessa Winn, Lindsay Ann Gold
article en

Abstract

Generative Artificial Intelligence (GenAI) is transforming education by reshaping curriculum design, individualized learning, and professional collaboration. This interpretive study examines how seventy preservice teachers engaged with GenAI through structured learning experiences focused on lesson planning, content development, and reflective practice. Participants, all fourth-year PK–Grade 5 and intervention specialist candidates at the University of Dayton, completed a co-taught seminar led by methods professors in science, social studies, language arts, and mathematics. Data sources included initial reflections on GenAI’s role in education, documentation of prompt exploration, and ongoing reflections during the seminar. Thematic analysis revealed a shift in preservice teachers’ understanding from viewing GenAI as a simple lesson-planning tool to recognizing its potential for differentiation, assessment, and parent communication. Participants demonstrated increasing sophistication, ethical awareness, and confidence in using GenAI to enhance instruction. Findings indicate that intentional professional development enhances preservice teachers’ GenAI literacy and confidence, supporting thoughtful integration of emerging technologies into teaching practice. The study advocates for embedding GenAI training within teacher education programs to cultivate innovation, ethical practice, and inclusivity in future classrooms.

SHILAP Revista de lepidopterología
University of Dayton (US)
Quality Education
Openalex Percentile: Top 94%
Teaching and Learning Programming
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.