Learning Analytics

Szerző: Johann Ari Larusson, Brandon White

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer-Verlag New York Inc.

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

58 157 Ft

In education today, technology alone doesn't always lead to immediate success for students or instit...

Információk a könyvről

Szerző

Johann Ari Larusson, Brandon White

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2016

oldal

195

EAN

9781493944408

ISBN

1493944401

Enbook ID

13741740

Kiadó

Springer-Verlag New York Inc.

Súly

338

Méretek

235 x 156 x 15

Teljes leírás

In education today, technology alone doesn't always lead to immediate success for students or institutions. In order to gauge the efficacy of educational technology, we need ways to measure the efficacy of educational practices in their own right. Through a better understanding of how learning takes place, we may work toward establishing best practices for students, educators, and institutions. These goals can be accomplished with learning analytics. Learning Analytics: From Research to Practice updates this emerging field with the latest in theories, findings, strategies, and tools from across education and technological disciplines. Guiding readers through preparation, design, and examples of implementation, this pioneering reference clarifies LA methods as not mere data collection but sophisticated, systems-based analysis with practical applicability inside the classroom and in the larger world. Case studies illustrate applications of LA throughout academic settings (e.g., intervention, advisement, technology design), and their resulting impact on pedagogy and learning. The goal is to bring greater efficiency and deeper engagement to individual students, learning communities, and educators, as chapters show diverse uses of learning analytics to: Enhance student and faculty performance. Improve student understanding of course material. Assess and attend to the needs of struggling learners. Improve accuracy in grading. Allow instructors to assess and develop their own strengths. Encourage more efficient use of resources at the institutional level. Researchers and practitioners in educational technology, IT, and the learning sciences will hail the information in Learning Ana

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Learning Analytics

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