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Analytics Project
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Enda Ridge – One of the best experts on this subject based on the ideXlab platform.
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guerrilla Analytics challenges and risks
Guerrilla Analytics#R##N#A Practical Approach to Working with Data, 2015Co-Authors: Enda RidgeAbstract:In this chapter, we describe Guerrilla Analytics Projects in more detail. We will discuss the typical workflow and challenges encountered in Guerrilla Analytics Projects. These challenges bring risks. We will discuss the risks inherent in a Guerrilla Analytics Project and the effects and consequences of not managing these risks.
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guerrilla Analytics principles
Guerrilla Analytics#R##N#A Practical Approach to Working with Data, 2015Co-Authors: Enda RidgeAbstract:This chapter describes the Guerrilla Analytics Principles. These are a small number of guiding rules to address the challenges and risks of a Guerrilla Analytics Project as introduced in the previous chapter. After describing each of the principles, we then look at the type of management framework within which these principles can be applied to real-world Analytics Projects.
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introducing guerrilla Analytics
Guerrilla Analytics#R##N#A Practical Approach to Working with Data, 2015Co-Authors: Enda RidgeAbstract:In this chapter, we begin by discussing the very broad field of data Analytics and what it means to do data Analytics. To help us frame the subject of this book and escape any marketing and hype terminology, we will define what “data Analytics” means for us . We will then look at the various types of Projects in which data Analytics is performed. This will give us an understanding of the entire spectrum of data Analytics Projects. We describe the particular type of Analytics Project that are the subject of this book. Specifically, these Projects are defined by being very dynamic and having many disruptions while also being subject to several constraints. These are “Guerrilla Analytics” Projects.
Leire Nuere – One of the best experts on this subject based on the ideXlab platform.
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Exploring Student Activity with Learning Analytics in the Digital Environments of the Nebrija University
Technology Knowledge and Learning, 2019Co-Authors: Patricia Ibanez, Cristina Villalonga, Leire NuereAbstract:The main objective of educational institutions is to achieve the integral development of their students in their learning and knowledge construction process. One way to achieve these objectives is the accompaniment and continuous monitoring of students in this process, adapting the methods to their training needs. In online and mixed teaching modalities (eLearning methodology), this monitoring is carried out through the digital platforms in which it is carried out in the academic activity, such as the learning management system platforms. These virtual teaching and learning environments (EVA) allow access to learners’ fingerprints, generating a large volume of data, that analysis allows a deep way of their behavior in those policies. This article collects the results of the exploration of student activity in the virtual campus (Blackboard Learn), which is in the first phase of Learning Analytics Project carried out by the Nebrija University and discusses its implications for educational institutions. The data extracted correspond to the 2016–2017 course and have been analyzed around four blocks of information: user behavior, user activity, activity in the content areas and activity in the forums.
Patricia Ibanez – One of the best experts on this subject based on the ideXlab platform.
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Exploring Student Activity with Learning Analytics in the Digital Environments of the Nebrija University
Technology Knowledge and Learning, 2019Co-Authors: Patricia Ibanez, Cristina Villalonga, Leire NuereAbstract:The main objective of educational institutions is to achieve the integral development of their students in their learning and knowledge construction process. One way to achieve these objectives is the accompaniment and continuous monitoring of students in this process, adapting the methods to their training needs. In online and mixed teaching modalities (eLearning methodology), this monitoring is carried out through the digital platforms in which it is carried out in the academic activity, such as the learning management system platforms. These virtual teaching and learning environments (EVA) allow access to learners’ fingerprints, generating a large volume of data, that analysis allows a deep way of their behavior in those policies. This article collects the results of the exploration of student activity in the virtual campus (Blackboard Learn), which is in the first phase of Learning Analytics Project carried out by the Nebrija University and discusses its implications for educational institutions. The data extracted correspond to the 2016–2017 course and have been analyzed around four blocks of information: user behavior, user activity, activity in the content areas and activity in the forums.