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

Keywords: Scrum Scholar, Machine Learning, Educational Innovation.

Abstract

This study aimed to propose an innovative educational model based on Scrum philosophy for the stimulation of 21st-century skills through the development of Machine Learning projects in school contexts. The methodology used was com-posed 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 con-text 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) Re-flection. In Phase 3, two aspects of the model were evaluated: its ability to pro-mote teamwork and the perceived satisfaction with this methodology, which ob-tained 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 21st-century skills, especially high-level digital literacy, and to promote educational change and bring teachers and students closer to the classrooms of the future.

Más información

Título de la Revista: INNOVATION IN MEDICINE AND HEALTHCARE, KES-INMED 2024
Volumen: 366
Editorial: SPRINGER-VERLAG SINGAPORE PTE LTD
Fecha de publicación: 2023
Página de inicio: 1
Página final: 10
Idioma: Inglés
URL: https://link.springer.com/book/9789819954131
Notas: SCOPUS - WOS