UID:
almahu_9949598614402882
Format:
1 online resource (xiv, 421 pages) :
,
illustrations (some color)
ISBN:
9781003276579
,
1003276571
,
9781000683257
,
1000683257
,
9781000683240
,
1000683249
Content:
"The Learning Engineering Toolkit is a practical guide to the rich and varied applications of learning engineering, a process and practice that synthesizes the learning sciences with human-centered engineering design methodologies and data-informed decision-making to support learners and their development. As learning engineering becomes an increasingly formalized discipline and practice, new insights and tools are needed to help education, training, design, and data analytics professionals iteratively develop, test, and improve complex systems for engaging and effective learning. Written in a colloquial style and full of collaborative, actionable strategies, this book explores the essential foundations, approaches, and real-world challenges inherent to ensuring participatory, data-driven, learning experiences across populations and contexts"--
Additional Edition:
Print version: Learning engineering toolkit New York : Routledge, 2023 ISBN 9781032208503
Language:
English
Keywords:
Electronic books.
;
Aufsatzsammlung
DOI:
10.4324/9781003276579
URL:
https://www.taylorfrancis.com/books/9781003276579
Bookmarklink
