Transforming EFL Lesson Planning with 'To Teach AI': Insights from Teachers' Perspectives

Artificial Intelligence (AI) is transforming education, but its application in English as a foreign language (EFL) lesson planning requires further investigation. Addressing this gap, this single-case study investigates the potential of "To Teach AI," an advanced AI tool, to enhance lesson planning and personalize learning experiences. The study involved 14 Iranian EFL teachers who participated in a professional development workshop on "AI Integration in Lesson Planning." Semi-structured interviews captured qualitative data on teachers’ experiences and perceptions of the platform. Thematic analysis revealed that "To Teach AI" facilitated more effective and efficient lesson planning by enabling teachers to tailor instruction to individual student needs, reduce planning time, and create engaging activities aligned with learning objectives. However, challenges such as the need for teacher training, adequate infrastructure, and addressing concerns about data privacy and over-reliance on technology were also identified. These findings provide valuable insights for EFL educators, teacher trainers, and researchers. The study highlights the potential of AI to transform lesson planning while emphasizing the importance of preparing teachers to integrate such tools effectively. By addressing both opportunities and challenges, this research contributes to a deeper understanding of AI-assisted lesson planning in EFL contexts.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-09-01
DOI
https://doi.org/10.22126/tale.2025.11490.1080
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transforming EFL Lesson Planning with 'To Teach AI': Insights from Teachers' Perspectives

SHILAP Revista de lepidopterología
Geochemistry and Geologic Mapping
article

Transforming EFL Lesson Planning with 'To Teach AI': Insights from Teachers' Perspectives

article en

Abstract

Artificial Intelligence (AI) is transforming education, but its application in English as a foreign language (EFL) lesson planning requires further investigation. Addressing this gap, this single-case study investigates the potential of "To Teach AI," an advanced AI tool, to enhance lesson planning and personalize learning experiences. The study involved 14 Iranian EFL teachers who participated in a professional development workshop on "AI Integration in Lesson Planning." Semi-structured interviews captured qualitative data on teachers’ experiences and perceptions of the platform. Thematic analysis revealed that "To Teach AI" facilitated more effective and efficient lesson planning by enabling teachers to tailor instruction to individual student needs, reduce planning time, and create engaging activities aligned with learning objectives. However, challenges such as the need for teacher training, adequate infrastructure, and addressing concerns about data privacy and over-reliance on technology were also identified. These findings provide valuable insights for EFL educators, teacher trainers, and researchers. The study highlights the potential of AI to transform lesson planning while emphasizing the importance of preparing teachers to integrate such tools effectively. By addressing both opportunities and challenges, this research contributes to a deeper understanding of AI-assisted lesson planning in EFL contexts.

SHILAP Revista de lepidopterología
University of Denver (US), Montana State University (US), Islamic University (BD)
Industry, innovation and infrastructure
Openalex Percentile: Top 42%
Geochemistry and Geologic Mapping
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.