4PADAFE and Generative AI in MOOC. (Dataset)
Description
The collected data is openly accessible through the Mendeley Dataset repository. The quantitative analysis focused on responses to closed-ended questions, enabling the assessment of participant satisfaction, the effectiveness of each phase of the 4PADAFE methodology, and the influence of generative artificial intelligence (GAI) tools on the MOOC course design process.
Files
Steps to reproduce
The dataset "4PADAFE and Generative AI in MOOC" compiles qualitative and quantitative data from students who designed MOOCs using the 4PADAFE methodology and generative AI tools such as ChatGPT and Canva AI. It includes surveys, interviews, rubrics, digital artifacts, and reflections organized by each phase of the model. The process covers planning, analysis, design, implementation, dissemination, consolidation, and scaling. Data has been anonymized, validated, and documented for academic use. It is structured in thematic folders and licensed for open access. Its objective is to support research on educational innovation with AI in digital learning environments.