School management information systems: Challenges to educational decision-making in the big data era

TL;DR

This paper examines the challenges faced by school management information systems in the big data era, proposing a model to improve decision-making despite data quality issues.

Contribution

It introduces a five-phase conceptual model to enhance educational decision-making and advances the theoretical understanding of SMIS in the context of big data.

Findings

Identifies key challenges in data quality affecting SMIS effectiveness

Proposes a five-phase model to support timely decision-making

Contributes to the theoretical framework of SMIS in big data era

Abstract

Despite the benefits of school management information systems (SMIS), the concept of data-driven school culture failed to materialize for many educational institutions. Challenges posed by the quality of data in the big data era have prevented many schools from realizing the real potential of the SMIS. The paper analyses the uses, features, and inhibiting factors of SMIS. The paper proposes a five-phase conceptual model that assist administrators with making timely, quality decisions. The paper enriches the theoretical landscape of SMIS usage in the era of big data and lays a foundation for the future by establishing an educational decision-making model.