Artificial Intelligence-Assisted Multimedia Content Creation: Optimizing the Design of Videos, Infographics, and Presentations in Basic Education
DOI:
https://doi.org/10.5281/zenodo.19871385Keywords:
Artificial Intelligence, Multimedia Learning, Instructional Design, Educational Innovation, Content Creation, Visual Literacy.Abstract
This research article examines the integration of multimodal Generative Artificial Intelligence (GAI) as a catalyst for the design of audiovisual teaching resources in Basic Education. In the current digital age, students demand visually stimulating learning environments; however, creating high-quality educational videos, infographics, and presentations requires technical skills and a time investment that aggravates teacher burnout. The objective of this study is to methodologically structure and validate the use of Text-to-Image and Text-to-Video conversion models for the instantaneous elaboration of instructional material. Through a descriptive action-research design, prompt engineering protocols oriented to graphic and audiovisual pedagogical design were developed. The results demonstrate that GAI reduces multimedia production time by 90%, allowing teachers without training in graphic design to generate highly contextualized resources aligned with the principles of the Cognitive Theory of Multimedia Learning. It is concluded that AI transforms the educator from a "searcher of generic resources" to an "instructional art director", raising the extrinsic motivation of the student without compromising the operational well-being of the professional.
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