Identification and characterization of interaction levels in emergency remote teaching in Basic Education

Abstract


This article aims to capture evidence of the effectiveness of educational technology-mediated emergency remote learning about the interaction levels of elementary and high school students. Data from 963 students about the domain and use of the virtual environment Redu were collected and analyzed in the context of a public institution that adopted remote learning during the COVID-19 pandemic. An unsupervised approach was adopted, using the k-means algorithm for clustering students based on values of eleven variables voted to portray the level of student interaction. The results pointed to interaction patterns characterized by students who interact the most, interact sporadically or rarely.

Keywords: Interaction, Remote Teaching, Redu, Basic education

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Published
2021-11-22
PEREIRA, Aluisio José; GOMES, Alex Sandro; PRIMO, Tiago Thompsen; SILVA, Rosane Maria Alencar da; RODRIGUES, Rodrigo Lins; CAMPOS FILHO, Amadeu Sá de; LIMA, Ricardo Massa Ferreira; MELO JÚNIOR, Ronaldo Pereira de. Identification and characterization of interaction levels in emergency remote teaching in Basic Education. In: BRAZILIAN SYMPOSIUM ON COMPUTERS IN EDUCATION (SBIE), 32. , 2021, Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2021 . p. 145-156. DOI: https://doi.org/10.5753/sbie.2021.218498.