Screen LibraryMachine learning paradigms : advances in learning analytics /
This book presents recent machine learning paradigms and advances in learning analytics, an emerging research discipline concerned with the collection, advanced processing, and extraction of useful information from both educators' and learners' data with the goal of improving education and...
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| Group Author: | ; ; ; |
|---|---|
| Published: |
Springer,
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| Publisher Address: | Cham, Switzerland : |
| Publication Dates: | [2020] |
| Literature type: | Book |
| Language: | English |
| Series: |
Intelligent systems reference library,
volume 158 |
| Subjects: | |
| Summary: |
This book presents recent machine learning paradigms and advances in learning analytics, an emerging research discipline concerned with the collection, advanced processing, and extraction of useful information from both educators' and learners' data with the goal of improving education and learning systems. In this context, internationally respected researchers present various aspects of learning analytics and selected application areas, including: • Using learning analytics to measure student engagement, to quantify the learning experience and to facilitate self-regulation; • Using lear |
| Carrier Form: | xvi, 223 pages : illustrations ; 24 cm. |
| Bibliography: | Includes bibliographical references. |
| ISBN: |
9783030137427 3030137422 |
| Index Number: | LB1028 |
| CLC: |
TP181 G434 |
| Call Number: | G434/M149 |