Role of Learning Analytics in Enhancing Teaching and Learning

Role of Learning Analytics in Enhancing Teaching and Learning

Amir Manzoor (Bahria University, Pakistan)
DOI: 10.4018/978-1-4666-9983-0.ch011
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Abstract

Data analytics, tools and techniques are no more confined to research organizations. These tools are being adopted by many organizations to generate business intelligence for improving decision making. Higher education institutions (HEIs) are beginning to use data analytics for improving their services and for increasing student grades and retention. Educational learning analytics are used to research and build models in several areas that can influence online learning systems. While use of analytics and data mining in education is increasing, sorting out fact from fiction and identifying research possibilities and practical applications are not easy. This chapter intends to help policymakers and administrators of HEIs understand how learning analytics have been used and can be applied for educational improvements.
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Learning Analytics: Concept, Tools, And Techniques

Companies historically have used data for decision making. Business intelligence (BI). BI techniques can help discover historical patterns and trends from data and can create models that that predict future trends and patterns. In broad sense, analytics comprises applied techniques from computer science, mathematics, and statistics for extracting usable information from very large datasets.

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