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Learning analytics in theory and practice: Guest editorial

Learning analytics in theory and practice: Guest editorial IJILT Guest editorial 36,4 Analytics is a topic of growing interest in the research communities. INFORMS defined analytics as the scientific process of transforming data into insights with the purpose of making better decisions (Sharda et al., 2018). Being grounded on the area of decision support systems, the area of analytics has got a vast range of applications. One important application concerns educational environments, where the three types of analytics, namely, descriptive, predictive and prescriptive are being applied. Descriptive analytics is concerned with what happen and why did it happen, prescriptive analytics is concerned with what will happen, and prescriptive analytics is concerned with the best course of action. Some authors consider four types of analytics, splitting descriptive analytics into descriptive analytics, concerned with what happened, and diagnostics analytics, concerned with why did it happen (Slade and Tait, 2019). Nowadays, the term learning analytics forms a field on its own and is applied in the context of the use of analytics in e-learning environments. Learning analytics is vastly used in order to improve quality. It uses data about students and their activities in order to provide better understanding and to improve students’ learning as well as its learning environment http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The International Journal of Information and Learning Technology Emerald Publishing

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Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
2056-4880
DOI
10.1108/IJILT-08-2019-134
Publisher site
See Article on Publisher Site

Abstract

IJILT Guest editorial 36,4 Analytics is a topic of growing interest in the research communities. INFORMS defined analytics as the scientific process of transforming data into insights with the purpose of making better decisions (Sharda et al., 2018). Being grounded on the area of decision support systems, the area of analytics has got a vast range of applications. One important application concerns educational environments, where the three types of analytics, namely, descriptive, predictive and prescriptive are being applied. Descriptive analytics is concerned with what happen and why did it happen, prescriptive analytics is concerned with what will happen, and prescriptive analytics is concerned with the best course of action. Some authors consider four types of analytics, splitting descriptive analytics into descriptive analytics, concerned with what happened, and diagnostics analytics, concerned with why did it happen (Slade and Tait, 2019). Nowadays, the term learning analytics forms a field on its own and is applied in the context of the use of analytics in e-learning environments. Learning analytics is vastly used in order to improve quality. It uses data about students and their activities in order to provide better understanding and to improve students’ learning as well as its learning environment

Journal

The International Journal of Information and Learning TechnologyEmerald Publishing

Published: Aug 5, 2019

References