Learning Analytics Complete Self-Assessment Guide

Learning Analytics Complete Self-Assessment Guide
Author: Gerardus Blokdyk
Publisher: 5starcooks
Total Pages:
Release: 2018-01-05
Genre:
ISBN: 9781489144263

Is the scope of Learning Analytics defined? Who sets the Learning Analytics standards? Which individuals, teams or departments will be involved in Learning Analytics? How will the Learning Analytics team and the organization measure complete success of Learning Analytics? This premium Learning Analytics self-assessment will make you the entrusted Learning Analytics domain auditor by revealing just what you need to know to be fluent and ready for any Learning Analytics challenge. How do I reduce the effort in the Learning Analytics work to be done to get problems solved? How can I ensure that plans of action include every Learning Analytics task and that every Learning Analytics outcome is in place? How will I save time investigating strategic and tactical options and ensuring Learning Analytics opportunity costs are low? How can I deliver tailored Learning Analytics advise instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Learning Analytics essentials are covered, from every angle: the Learning Analytics self-assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that Learning Analytics outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Learning Analytics practitioners. Their mastery, combined with the uncommon elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Learning Analytics are maximized with professional results. Your purchase includes access details to the Learning Analytics self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.

A Beginner’s Guide to Learning Analytics

A Beginner’s Guide to Learning Analytics
Author: Srinivasa K G
Publisher: Springer Nature
Total Pages: 326
Release: 2021-04-19
Genre: Education
ISBN: 3030702588

This book A Beginner’s Guide to Learning Analytics is designed to meet modern educational trends’ needs. It is addressed to readers who have no prior knowledge of learning analytics and functions as an introductory text to learning analytics for those who want to do more with evaluation/assessment in their organizations. The book is useful to all who need to evaluate their learning and teaching strategies. It aims to bring greater efficiency and deeper engagement to individual students, learning communities, and educators. Covered here are the key concepts linked to learning analytics for researchers and practitioners interested in learning analytics. This book helps those who want to apply analytics to learning and development programs and helps educational institutions to identify learners who require support and provide a more personalized learning experience. Like chapters show diverse uses of learning analytics to enhance student and faculty performance. It presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different educational domains. This book provides educators and researchers with the tools and frameworks to effectively make sense of and use data and analytics in their everyday practice. This book will be a valuable addition to researchers’ bookshelves.

Data Driven Approaches in Digital Education

Data Driven Approaches in Digital Education
Author: Élise Lavoué
Publisher: Springer
Total Pages: 621
Release: 2017-09-06
Genre: Education
ISBN: 9783319666099

This book constitutes the proceedings of the 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, held in Tallinn, Estonia, in September 2017. The 24 full papers, 23 short papers, 6 demo papers, and 22 poster papers presented in this volume were carefully reviewed and selected from 141 submissions. The theme for the 12th EC-TEL conference on Data Driven Approaches in Digital Education' aims to explore the multidisciplinary approaches thateectively illustrate how data-driven education combined with digital education systems can look like and what are the empirical evidences for the use of datadriven tools in educational practices.

Learning Analytics Enhanced Online Learning Support

Learning Analytics Enhanced Online Learning Support
Author: Shuang Li
Publisher: Taylor & Francis
Total Pages: 149
Release: 2023-12-08
Genre: Education
ISBN: 1003815634

Offering the latest developments in online education in the era of big data, this book explores theories, technologies, and practices in the field of data-driven online learning support services using learning analytics. This book is divided into five chapters. Chapter 1 reflects and reconstructs the connotation of learning support against the backdrop of education reform, the rise of learning analytics, and the upgrading of the demand for learning services in the new era. Chapter 2 presents a P-K-DSE-E model of online learner characteristics and discusses measurement and data representation methods for learner characteristics based on it. Chapters 3–5 focus on the three types of learning support that are closely related to learning performance and satisfaction, including the promotion of social learning, electronic learning assessment based on the learning process, and personalized tutoring and support. This book innovatively develops the concept, theory, and practical methods of student support services in distance education traditional practices in the new era and provides valuable exploration of data-driven personalized learning service methods and technologies in the era of artificial intelligence through rich examples. This book will be essential reading for students and scholars of distance and online education, educational technology, and audiovisual education.

Visualizations and Dashboards for Learning Analytics

Visualizations and Dashboards for Learning Analytics
Author: Muhittin Sahin
Publisher: Springer Nature
Total Pages: 624
Release: 2021-12-16
Genre: Education
ISBN: 3030812227

This edited volume fills the gaps in existing literature on visualization and dashboard design for learning analytics. To do so, it presents critical tips to stakeholders and acts as guide to efficient implementation. The book covers the following topics: visualization and dashboard design for learning analytics, visualization and dashboard preferences of stakeholders, learners’ patterns on the dashboard, usability of visualization techniques and the dashboard, dashboard and intervention design, learning and instructional design for learning analytics, privacy and security issues about the dashboard, and future directions of visualization and dashboard design. This book will be of interest to researchers with interest in learning analytics and data analytics, teachers and students in higher education institutions and instructional designers, as it includes contributions from a wide variety of educational and psychological researchers, engineers, instructional designers, learning scientists, and computer scientists interested in learning analytics.

Learning Analytics

Learning Analytics
Author: Gwo-Jen Hwang
Publisher: Routledge
Total Pages: 144
Release: 2018-12-18
Genre: Education
ISBN: 0429767196

Learning analytics is one of the most important research issues in the field of educational technology. By analyzing logs and records in educational databases and systems, it can provide useful information to teachers, learners, and decision makers – information which they can use to improve teaching strategies, learning performances, and educational policies. However, it is a great challenge for most researchers to efficiently analyze educational data in a meaningful way. This book presents various learning analytics approaches and applications, including the process of determining the coding scheme, analyzing the collected data, and interpreting the findings. This book was originally published as a special issue of Interactive Learning Environments.

Student Self-Assessment

Student Self-Assessment
Author: Maddalena Taras
Publisher: Taylor & Francis
Total Pages: 225
Release: 2022-12-30
Genre: Education
ISBN: 1000825744

This book provides the basics of student self-assessment and implementation challenges, and it offers practical solutions and examples for navigating the use of student self-assessment in various subject disciplines in primary schools, secondary schools and higher education. It provides an informed approach for educators to understand the complexities and subtleties involved in implementing self-assessment, and how this might include and impact on teachers and students. Involving students in assessment is not a new idea nor is student self-assessment a new assessment tool in schools. Despite the advantages and the necessity for including it in our pedagogic processes explicitly, the use of student self-assessment has been far from commonplace and consistent in classrooms, schools and universities. This book makes clear the choices of what, how and why student self-assessment is important and usable in the classroom. This book is designed for educators at different levels, and educational researchers. It will provide food for thought for pre- and in-service teachers and school leaders who are interested in nurturing independent and self-directed learners by involving students in the assessment process and maximising student learning through the use of student self-assessment.

Learning Analytics in the Classroom

Learning Analytics in the Classroom
Author: Jason Lodge
Publisher: Routledge
Total Pages: 352
Release: 2018-10-03
Genre: Education
ISBN: 1351113011

Learning Analytics in the Classroom presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different education domains. Highlighting the real potential of learning analytics as a way to better understand and enhance student learning and with each chapter including specific discussion about what the research means in the classroom, this book provides educators and researchers alike with the tools and frameworks to effectively make sense of and use data and analytics in their everyday practice. This volume is split into five sections, all of which relate to the key themes in understanding learning analytics through the lens of the classroom: broad theoretical perspectives understanding learning through analytics the relationship between learning design and learning analytics analytics in the classroom and the impact it can and will have on education implementing analytics and the challenges involved. Bridging the gap between research, theory and practice, Learning Analytics in the Classroom is both a practical tool and an instructive guide for educators, and a valuable addition to researchers' bookshelves. A team of world-leading researchers and expert editors have compiled a state-of-the-art compendium on this fascinating subject and this will be a critical resource for the evolution of this field into the future.