AI-Powered Chatbots for Mobile Teacher Training: Enhancing Interactive Learning Experiences

The study aims to explore the impact of artificial intelligence (AI)-powered chatbots in mobile teacher training, specifically in enhancing interactive learning. To achieve the objective, the researcher employed an experimental approach using a single-group (pre-post) design. The study sample consisted of 50 male and female secondary school teachers who received training based on chatbot applications over a four-week period. Following the training, the research instrument—a teaching skills scale was administered. This scale measured three key skills: interactive planning, the integration of technology in teaching, and interactive evaluation. The results revealed statistically significant differences between the participants’ scores on the teaching skills scale in the pre- and post-tests across all dimensions and the overall score. These differences favored the post-test results, indicating an improvement after exposure to the chatbot-based training program. Considering these findings, the study recommends the development of ongoing professional training programs for teachers, particularly those incorporating innovative models such as chatbot applications.

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Publication Details

Journal
International Journal of Interactive Mobile Technologies (iJIM)
Published
2025-09-10
DOI
https://doi.org/10.3991/ijim.v19i17.54387
Citations
1
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
2.48
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article

AI-Powered Chatbots for Mobile Teacher Training: Enhancing Interactive Learning Experiences

Fadi Bani Ahmad
1 citations
International Journal of Interactive Mobile Technologies (iJIM)
AI in Service Interactions
2.48
article

AI-Powered Chatbots for Mobile Teacher Training: Enhancing Interactive Learning Experiences

Fadi Bani Ahmad
article en
1 citations

Abstract

The study aims to explore the impact of artificial intelligence (AI)-powered chatbots in mobile teacher training, specifically in enhancing interactive learning. To achieve the objective, the researcher employed an experimental approach using a single-group (pre-post) design. The study sample consisted of 50 male and female secondary school teachers who received training based on chatbot applications over a four-week period. Following the training, the research instrument—a teaching skills scale was administered. This scale measured three key skills: interactive planning, the integration of technology in teaching, and interactive evaluation. The results revealed statistically significant differences between the participants’ scores on the teaching skills scale in the pre- and post-tests across all dimensions and the overall score. These differences favored the post-test results, indicating an improvement after exposure to the chatbot-based training program. Considering these findings, the study recommends the development of ongoing professional training programs for teachers, particularly those incorporating innovative models such as chatbot applications.

International Journal of Interactive Mobile Technologies (iJIM)Vol. 19(17)
Arab Open University (JO)
Openalex Percentile: Top 9%
AI in Service Interactions
2.48
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AI-Powered Chatbots for Mobile Teacher Training: Enhancing Interactive Learning Experiences — Fadi Bani Ahmad · International Journal of Interactive Mobile Technologies (iJIM) (2025) | TGRS Research Map | TGRS