Data Science Education Based on ADDIE Model and the EDISON Framework

Data Science is a recent area that integrates data engineering and computing intelligence to support decision making. It is also a recent professional field which requires experts with knowledge in Statistics, Computer Science, Artificial Intelligence and Machine Learning, and specific Business Models. Organizations that pursue data intelligence consider Data Science professionals immensely relevant. However, universities and higher education institutions are starting to offer undergraduate programs and courses for Data Science education. In this sense, EDISON Data Science Framework (EDSF) is presented as a relevant framework to further the education of Data Science Professionals. Thus, this article addresses the integration of EDSF with ADDIE Model, an instructional design model, capable of enabling the construction of an Instructional System (IS). Based on the Learning Outcomes (LO) of the EDSF Model Curriculum Data Science (MC-DS), the article proposes an integrated approach of these LOs along with the phases of ADDIE Model supporting the construction of a Data Science Instructional System (DSIS). This integrated approach assists the understanding of the development of a DSIS and its learning objects, with its technological needs, such as: hardware environment, programming environments (IDEs, scripts, etc.), database models (SQL and NoSQL), massive data storage and processing tools, visualization tools, among others.