From Chalkboard to Chatbot: Exploring EFL Teachers’ Perceptions of AI-Driven Questioning Strategies in the Digital Age

The growing application of artificial intelligence (AI) in education has intro-duced new learning and teaching opportunities, particularly in the context of AI-powered chatbots. This study investigated Indonesian English lan-guage lecturers' and pre-service teachers' perception towards implementing chatbots in delivering classroom ques-tions in EFL contexts. In this descriptive, mixed-methods study, 52 participants responded to an online survey containing Likert-scale and open-ended items. Quantitative results provided evidence of moderate to positive atti-tudes and responses with participants expressing interest in chatbot-assisted questioning but limited confidence in writing effective prompts. Themes identified through qualitative analysis included four broad categories: per-ceived educational value, limitations in handling deep dialogue, suitability for lower-order queries, and a strong need for institutional support and train-ing. Although teachers identified potential in chatbots to enhance engagement and effectiveness, there was concern over their potential to stimulate critical thinking and react to in-the-moment classroom discussion. These find-ings indicate the need for guided professional development and ethical standards in bringing meaningful AI application into language instruction. Keywords: AI in education, EFL, chatbot questioning, teacher perception, digital trans-formation

Authors

Publication Details

Journal
ICONIS International Conference on Islamic Studies
Published
2025-08-13
DOI
https://doi.org/10.19105/iconis.v9i1.948
Citations
1
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
2.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From Chalkboard to Chatbot: Exploring EFL Teachers’ Perceptions of AI-Driven Questioning Strategies in the Digital Age

Tahani Bsharat R. K., Lasmi Febrianingrum, Athala Rania Insyira
1 citations
ICONIS International Conference on Islamic Studies
AI in Service Interactions
2.48
article

From Chalkboard to Chatbot: Exploring EFL Teachers’ Perceptions of AI-Driven Questioning Strategies in the Digital Age

Tahani Bsharat R. K., Lasmi Febrianingrum, Athala Rania Insyira
article en
1 citations

Abstract

The growing application of artificial intelligence (AI) in education has intro-duced new learning and teaching opportunities, particularly in the context of AI-powered chatbots. This study investigated Indonesian English lan-guage lecturers' and pre-service teachers' perception towards implementing chatbots in delivering classroom ques-tions in EFL contexts. In this descriptive, mixed-methods study, 52 participants responded to an online survey containing Likert-scale and open-ended items. Quantitative results provided evidence of moderate to positive atti-tudes and responses with participants expressing interest in chatbot-assisted questioning but limited confidence in writing effective prompts. Themes identified through qualitative analysis included four broad categories: per-ceived educational value, limitations in handling deep dialogue, suitability for lower-order queries, and a strong need for institutional support and train-ing. Although teachers identified potential in chatbots to enhance engagement and effectiveness, there was concern over their potential to stimulate critical thinking and react to in-the-moment classroom discussion. These find-ings indicate the need for guided professional development and ethical standards in bringing meaningful AI application into language instruction. Keywords: AI in education, EFL, chatbot questioning, teacher perception, digital trans-formation

ICONIS International Conference on Islamic StudiesVol. 9
Openalex Percentile: Top 9%
AI in Service Interactions
2.48
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.