World Education Research Association Presidential Address

Session Type: Invited Speaker Session

Abstract

Shaping Future Schools with Artificial Intelligence and Big Data:
Towards Evidence Informed School Excellence
In the last decade, the use of research data in schools has been one of the most discussed topics in school evaluation. In the era of big data, the educational community is inspired to maximize the utilization and processing of the rapidly expanding educational datasets for policy-driven research. Policymakers seek data as a lever for wise, evidence-informed decision-making. Yet, bridging the gap between data generation, analysis, and policymaking is a major challenge.
The purpose of this presentation is to introduce a multi-national and longitudinal project on school evaluation to demonstrate how the use of big data and artificial intelligence may contribute to the quality of public schools as the institutions of serving public good. The evidence-informed school evaluation empowers teachers and school administrators to wisely contemplate how evidence generated from AI and big data research informs their practice in the context of a particular child, family or community, and then weighs this up together with knowledge drawn from their professional experience and the experiences of students and parents to develop a culture of school excellence.

Sub Unit

• World Education Research Association

Chair

• Liesel Ebersohn, University of Pretoria

Papers

• Shaping Future Schools With Artificial Intelligence and Big Data: Toward Evidence-Informed School Excellence - Mustafa Yunus Eryaman, Canakkale Onsekiz Mart University