Data Analysis for School Improvement within Coupled Local School Systems: Which Data and with What Purposes?
Year: 2021
Type: article
Abstract: From a new institutional theoretical perspective, this article explores school actors’ sense-making linked to data-based decision making (DBDM) policy in general and processes of data analysis in particular. The study revealed how actors’ interpretation of and response to DBDM pointed to strong and weak couplings between and within the local school system’s organizational levels. While teachers emphasized informal, daily analyses, the LEA and principals placed importance on formal, district and school-based analyses. In the same way teachers to a greater extent think that too much resources is spent on collecting and analyzing data rather than on innovation and school improvement.
Source: Leadership and Policy in Schools
Authors: Carl-Henrik Adolfsson, Jan Håkansson
Institutions: Linnaeus University, Dalarna University
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W3216622778