Reka Digital Storytelling Integrated AI (DST-AI) Physicists: Improving Digital Literacy of Students
DOI:
https://doi.org/10.56294/saludcyt20252209Keywords:
digital storytelling, artificial intelligence, video AI, motivation, digital literacyAbstract
Introduction: The study addressed the perceived lack of engagement in history education, often seen as reliant on rote memorization and formal texts. It proposed that artificial intelligence (AI) could revitalize the subject by enabling historical characters to narrate their own stories, thereby creating a more captivating learning experience. This development research aimed to create and evaluate an AI-based digital storytelling (DST-AI) model to serve as a positive and flexible learning tool for students.
Method: The research followed a development methodology. This process included information gathering, planning, prototype creation, initial field trials, product revision, primary field testing, and a final operational revision. The product was tested with 23 students in a Physics Education class at the University of Adzkia to assess its validity, practicality, and effectiveness.
Results: The developed DST-AI model was deemed valid by experts in terms of its materials, software, and visual communication. It was also found to be highly practical, with an ease-of-use score of 81 %. The tool was effective, achieving a 75% score in the practical category, and its media usability was rated 83 %, placing it in the very useful group.
Conclusions: The study demonstrated that utilizing AI technology to create educational materials can significantly enhance the learning environment. The positive outcomes from implementing DST-AI provide a strong foundation for further research into developing more engaging, creative, and enjoyable educational tools.
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