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

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

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

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

Category

Data Science

Data Analysis

Author

Goran Trajkovski

Marylee Demeter

Heather Hayes

Publication

Information Science Reference

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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.

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ISBN-10

1799896447

ISBN-13

978-1799896449

Publisher

Information Science Reference

Price

215

File Type

PDF

Page No.

330

Goran Trajkovski

Goran Trajkovski

Marylee Demeter

Marylee Demeter

Heather Hayes

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