doi: 10.18178/ijiet.2026.16.1.2491
AI-Based Model with Intelligent Production Stages for Educational Video Creation
Naphatsanan Suwannawong1,*
,
Phatchareephorn Bangkheow2 ,
Prachyanun Nilsook3 ,
Panita Wannapiroon3 ,
Siwaporn Linthaluek4 ,
Jidapha Yoorubsuk5
- 1Division of Computer and Information Technology, Faculty of Industrial Education and Technology, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand
- 2Faculty of Education, Bansomdejchaopraya Rajabhat University, Bangkok, Thailand
- 3Division of Information and Communication Technology for Education, Faculty of Technical Education, King Mongkut's University of Technology North Bangkok, Thailand
- 4Faculty of Science and Technology, Thonburi University, Bangkok, Thailand
- 5Faculty of Business Administration and Information Technology, Rajamangala University of Technology Tawan-ok, Bangkok, Thailand
- Manuscript receivedJune 26, 2025
- revisedJuly 28, 2025
- acceptedSeptember 1, 2025
- publishedJanuary 13, 2026
Abstract
This research aims 1) to develop an AI-based model with an intelligent production process for educational video creation 2) to synthesize key learner characteristics related to developing creative confidence and 3) to validate the developed conceptual model through expert evaluation. The instrument used is a conceptual model designed by the researchers to support the production of intelligent educational videos and promote learner creative confidence. The model integrates AI technologies such as Natural Language Processing (NLP), computer vision, neural Text-to-Speech (TTS), and machine learning across 4 intelligent production stages: scriptwriting, storyboarding and visualization, voiceover recording, video editing and assembly. Each stage was aligned with traditional media production tasks to enhance instructional relevance and workflow efficiency. In parallel, the researchers conducted a synthesis of learner characteristics related to creative confidence, resulting in 5 domains: intellectual, creative mindsets, creative action, motivational drivers, and reflective awareness. These traits were structured into a pedagogical framework and further operationalized into analytic criteria to inform the design and assessment of learner-centered activities in AI-enhanced educational environments. The results show that the model not only makes AI-based media production more efficient, but also provides a solid foundation for cultivating creativity in digital education systems. This research contributes to the growth of AI in education by identifying creative confidence as a key learner outcome. It also provides educators with validated models and relevant tools for integrating AI into instructional workflows, empowering learners to confidently create, reflect, and express in technology-rich learning contexts.
Keywords
- artificial intelligence in education
- educational video production
- intelligent production stages
- Artificial Intelligence (AI)-based content creation
- creative confidence
How to Cite
Naphatsanan Suwannawong, Phatchareephorn Bangkheow, Prachyanun Nilsook, Panita Wannapiroon, Siwaporn Linthaluek, and Jidapha Yoorubsuk, "AI-Based Model with Intelligent Production Stages for Educational Video Creation," International Journal of Information and Education Technology, vol. 16, no. 1, pp. 164-173, 2026. https://doi.org/10.18178/ijiet.2026.16.1.2491
Copyright & License
Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).