Prestes P A N, Silva T E V, Barroso G C
Department of Teleinformatics (DETI), Federal University of Ceará (UFC), Fortaleza, CE, Brazil.
Heliyon. 2021 Nov 20;7(11):e08435. doi: 10.1016/j.heliyon.2021.e08435. eCollection 2021 Nov.
Data analytics techniques have been gaining more space in the scientific environment with applications in various areas of knowledge, including education. This paper aims to analyse data taken from a questionnaire of the Organization for Economic Development Cooperation (OECD) given to teachers and school managers. In this questionnaire, school environment issues are assessed, specifically: school environment, professional development, school leadership, and efficient management. As a methodology, Teaching and Learning Analytics (TLA) was used, particularly correlation analysis, which enables the extraction of useful information from raw data, relating issues that interfere with the teaching and learning relationship, besides specific analysis of student learning. The results obtained about the school environment are not linear. They do not present moderate or a solid linear correlation, making it impossible to validate and integrate answers related to the statements of the themes and sub-themes chosen for this analysis. In this sense, the research found dichotomous observations that mirrored many controversies and insecurities, enabling considerations about possible school scenarios and their effective practices.
数据分析技术在科学环境中占据了越来越多的空间，并应用于包括教育在内的各个知识领域。本文旨在分析经济合作与发展组织（OECD）向教师和学校管理人员发放的调查问卷所收集的数据。在这份问卷中，对学校环境问题进行了评估，具体包括：学校环境、专业发展、学校领导和高效管理。作为一种方法，采用了教学与学习分析（TLA），特别是相关性分析，它能够从原始数据中提取有用信息，关联干扰教学与学习关系的问题，此外还能对学生学习进行具体分析。关于学校环境获得的结果并非呈线性。它们没有呈现出适度或稳固的线性相关性，这使得无法验证和整合与本次分析所选主题及子主题陈述相关的答案。从这个意义上说，该研究发现了二分法观察结果，反映了许多争议和不安全感，从而能够对可能的学校场景及其有效做法进行思考。
