Applying Data Science and Learning Analytics Throughout a Learner's Lifespan

Goran Trajkovski

ISBN 10: 1799896447 / ISBN 13: 9781799896449

Published by Information Science Reference, 2022

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Research in the domains of learning analytics and educational data mining has prototyped an approach where methodologies from data science and machine learning are used to gain insights into the learning process by using large amounts of data. As many training and academic institutions are maturing in their data-driven decision making, useful, scalable, and interesting trends are emerging. Organizations can benefit from sharing information on those efforts. Applying Data Science and Learning Analytics Throughout a Learner's Lifespan examines novel and emerging applications of data science and sister disciplines for gaining insights from data to inform interventions into learners' journeys and interactions with academic institutions. Data is collected at various times and places throughout a learner's lifecycle, and the learners and the institution should benefit from the insights and knowledge gained from this data. Covering topics such as learning analytics dashboards, text network analysis, and employment recruitment, this book is an indispensable resource for educators, computer scientists, faculty of higher education, government officials, educational administration, students of higher education, pre-service teachers, business professionals, researchers, and academicians.

Seller Inventory # 9781799896449

Bibliographic Details

• Title: Applying Data Science and Learning Analytics Throughout a Learner's Lifespan
• Publisher: Information Science Reference
• Publication Date: 2022
• Language: English
• ISBN 10: 1799896447
• ISBN 13: 9781799896449
• Binding: Buch
• Condition: Neu
• Dimensions: 286W x 221H x 23D millimeters 286 millimeters width by 221 millimeters height by 23 millimeters depth
• Weight: 1126 grams

About this title

Synopsis

Research in the domains of learning analytics and educational data mining has prototyped an approach where methodologies from data science and machine learning are used to gain insights into the learning process by using large amounts of data. As many training and academic institutions are maturing in their data-driven decision making, useful, scalable, and interesting trends are emerging. Organizations can benefit from sharing information on those efforts. Applying Data Science and Learning Analytics Throughout a Learner's Lifespan examines novel and emerging applications of data science and sister disciplines for gaining insights from data to inform interventions into learners' journeys and interactions with academic institutions. Data is collected at various times and places throughout a learner's lifecycle, and the learners and the institution should benefit from the insights and knowledge gained from this data. Covering topics such as learning analytics dashboards, text network analysis, and employment recruitment, this book is an indispensable resource for educators, computer scientists, faculty of higher education, government officials, educational administration, students of higher education, pre-service teachers, business professionals, researchers, and academicians.