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Learning Analytics: Fundaments, Applications, and Trends

A View of the Current State of the Art to Enhance e-Learning

  • Alejandro Peña-Ayala

Part of the Studies in Systems, Decision and Control book series (SSDC, volume 94)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Philipp Leitner, Mohammad Khalil, Martin Ebner
    Pages 1-23
  3. Alejandro Peña-Ayala, Leonor Adriana Cárdenas-Robledo, Humberto Sossa
    Pages 65-112
  4. Jill-Jênn Vie, Fabrice Popineau, Éric Bruillard, Yolaine Bourda
    Pages 113-142
  5. Danny Yen-Ting Liu, Kathryn Bartimote-Aufflick, Abelardo Pardo, Adam J. Bridgeman
    Pages 143-169
  6. Lorenzo Vigentini, Andrew Clayphan, Xia Zhang, Mahsa Chitsaz
    Pages 171-198
  7. Jean Simon
    Pages 199-227
  8. Mirka Saarela, Tommi Kärkkäinen
    Pages 229-267
  9. Back Matter
    Pages 303-303

About this book

Introduction

This book provides a conceptual and empirical perspective on learning analytics, its goal being to disseminate the core concepts, research, and outcomes of this emergent field. Divided into nine chapters, it offers reviews oriented on selected topics, recent advances, and innovative applications. It presents the broad learning analytics landscape and in-depth studies on higher education, adaptive assessment, teaching and learning. In addition, it discusses valuable approaches to coping with personalization and huge data, as well as conceptual topics and specialized applications that have shaped the current state of the art.

By identifying fundamentals, highlighting applications, and pointing out current trends, the book offers an essential overview of learning analytics to enhance learning achievement in diverse educational settings. As such, it represents a valuable resource for researchers, practitioners, and students interested in updating their knowledge and finding inspirations for their future work.

Keywords

Learning Analytics Educational Data Mining Data Sciences Computer-based Educational Systems Adaptive and Intelligent Educational Systems

Editors and affiliations

  • Alejandro Peña-Ayala
    • 1
  1. 1.Instituto Politécnico NacionalWOLNM & Escuela Superior de Ingeniería,Mecánica y Eléctrica, ZacatencoMéxico DFMexico

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-52977-6
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-52976-9
  • Online ISBN 978-3-319-52977-6
  • Series Print ISSN 2198-4182
  • Series Online ISSN 2198-4190
  • Buy this book on publisher's site