Scrum Scholar Machine Learning Model: A Proposal for Next Generation Classroom

This study aimed to propose an innovative educational model based on Scrum philosophy for the stimulation of twenty-first century skills through the development of machine learning projects in school contexts. The methodology used was composed of three phases: (1) design, construction, and validation; (2) implementation in the classroom; and (3) evaluation. The results obtained in Phase 1 demonstrated that it is possible to design and construct a didactic innovation methodology based on Scrum philosophy; furthermore, experts positively validated the model at a qualitative level through Delphi and at a quantitative level through Aiken’s V = 0.78. In Phase 2, the implementation was carried out in a real educational context with a group of N = 16 students aged 12 and 13 from a public elementary school in the Ñuble Region, Chile. The model was developed through 6 sprints that follow the structure of (a) planning, (b) developing, (c) checking, and (d) reflection. In Phase 3, two aspects of the model were evaluated: its ability to promote teamwork and the perceived satisfaction with this methodology, which obtained an average percentage of 70% and 86.7%, respectively. In conclusion, the Scrum Scholar Machine Learning Model is proposed as a didactic innovation methodology that has the ability to promote the development of twenty-first century skills, especially high-level digital literacy, and to promote educational change and bring teachers and students closer to the classrooms of the future.