Add to ORKGAbstract: This paper identifies some of the main challenges of data governance modelling in the context of learning analytics for higher education institutions, and discusses the critical factors for designing data governance models for learning analytics. It identifies three fundamental common challenges that cut across any learning analytics data governance model, viz., the ownership of the learning analytics data sets, the interpretation of the data, and the decision making based on the data. It also proposes a set of high-level requirements necessary for modelling data governance for learning analytics
Critical success factors (CSFs) have been around since the late 1970s and have been used extensively...
Learning analytics is an emerging but rapidly growing field seen as offering unquestionable benefit ...
With the increase in available educational data, it is expected that Learning Analytics will become ...
This international panel presentation aims to explore and discuss the issues that emerge when an edu...
Analytics is a field of research and practice that aims to reveal new patterns of information throug...
Abstract: E-governance is growing in interest as technique of decision making in the public domain....
The book aims to advance global knowledge and practice in applying data science to transform higher ...
Learning analytics can help higher educational institutions improve learning. Its adoption, however,...
This position paper examines issues within the evolving landscape of learning analytics in education...
The desire to provide personalized learning support for students has been a strong driver of the dev...
Learning analytics show promise to support study success in higher education. Hence, they are increa...
Learning analytics should be used for the benefit of students. This might be to assist them individu...
Interest in learning analytics (LA) has grown rapidly among higher education institutions (HEIs). Ho...
The objective of this research was to find out requirements that analytics sets for data governance ...
Despite the promises of learning analytics and the existence of several learning analytics implement...
Critical success factors (CSFs) have been around since the late 1970s and have been used extensively...
Learning analytics is an emerging but rapidly growing field seen as offering unquestionable benefit ...
With the increase in available educational data, it is expected that Learning Analytics will become ...
This international panel presentation aims to explore and discuss the issues that emerge when an edu...
Analytics is a field of research and practice that aims to reveal new patterns of information throug...
Abstract: E-governance is growing in interest as technique of decision making in the public domain....
The book aims to advance global knowledge and practice in applying data science to transform higher ...
Learning analytics can help higher educational institutions improve learning. Its adoption, however,...
This position paper examines issues within the evolving landscape of learning analytics in education...
The desire to provide personalized learning support for students has been a strong driver of the dev...
Learning analytics show promise to support study success in higher education. Hence, they are increa...
Learning analytics should be used for the benefit of students. This might be to assist them individu...
Interest in learning analytics (LA) has grown rapidly among higher education institutions (HEIs). Ho...
The objective of this research was to find out requirements that analytics sets for data governance ...
Despite the promises of learning analytics and the existence of several learning analytics implement...
Critical success factors (CSFs) have been around since the late 1970s and have been used extensively...
Learning analytics is an emerging but rapidly growing field seen as offering unquestionable benefit ...
With the increase in available educational data, it is expected that Learning Analytics will become ...