Architecting Data Quality for Continuous Student Behaviour Management
Wayne Hellmuth, Glenn Stewart

TL;DR
This paper explores how designing information systems can improve data quality for student behavior management, addressing challenges like data accuracy and usability to enhance educational outcomes.
Contribution
It introduces a novel artefact for pastoral care data collection and demonstrates how IS design impacts teacher adoption and data quality in classrooms.
Findings
IS design is a major barrier to teacher adoption.
The artefact improves data quality for behavior management.
Design science methods effectively evaluate educational IS.
Abstract
Data capture and use is vital for the continuous improvement of both student learning and behavior management. Previous studies on data use in the education sector have highlighted a number of problems associated with data quality and its subsequent use. These include the accuracy, consistency, completeness, and timeliness of data. Engagement issues with data have centred on the interpretation and application of the knowledge that data can provide. No study to date has investigated the link between IS design and the production of quality data that captures student progression and outcomes in either the learning or behavior management environments. This study reports on the design, development, implementation and evaluation of a novel artefact facilitating quality data for one classroom based education service: pastoral care. This study, using design science research methods, shows that…
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Taxonomy
TopicsEducational Assessment and Improvement · Software System Performance and Reliability · E-Government and Public Services
