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Using data to improve the quality of education | Unesco IIEP Learning Portal
Using data to improve the quality of education | Unesco IIEP Learning Portal
There is a worldwide concern that learning outcomes have not kept pace with the expansion of education. The extent of the learning deficit is largely unknown because many countries have few systematic data on who is learning and who is not. Learning assessments provide data on the status of learning, which can be used to monitor the quality of systems and student learning outcomes. Regular monitoring can reveal changes over time in response to interventions to improve student outcomes, providing feedback and additional data for decision-making.
Using data to improve the quality of education | Unesco IIEP Learning Portal
The Case for Small Data In Higher Education
The Case for Small Data In Higher Education
Abilene Christian University (ACU), a private university in the western region of the United States, uses alert system to serve at-risk students, IDEA evaluations to gather feedback to improve teaching, and data from the use of a learning management system Canvas to identify ways to improve student learning. . While colleges and universities seek to utilize big, complex and aggregated data to generate insights to support students, big data is limited in its use to design interventions due to limits it inherently has. Small data, or one-dimensional teaching and learning analytics, provide quality feedback to teachers and students. In this paper, we will discuss how Abilene Christian University (ACU), a private university in the western region of the United States, uses alert system to serve at-risk students, IDEA evaluations to gather feedback to improve teaching, and data from the use of a learning management system Canvas to identify ways to improve student learning by providing formative evaluation for faculty to improve their practices. Towards the end of the paper we will discuss what students can do to make informed choices about their learning.
The Case for Small Data In Higher Education