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Enhancing Effective Instruction and Learning Using Assessment Data (Hardcover)
Loot Price: R2,652
Discovery Miles 26 520
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Enhancing Effective Instruction and Learning Using Assessment Data (Hardcover)
Series: The MARCES Book Series
Expected to ship within 10 - 15 working days
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Total price: R2,672
Discovery Miles: 26 720
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This book introduces theories and practices for using assessment
data to enhance learning and instruction. Topics include reshaping
the homework review process, iterative learning engineering,
learning progressions, learning maps, score report designing, the
use of psychosocial data, and the combination of adaptive testing
and adaptive learning. In addition, studies proposing new methods
and strategies, technical details about the collection and
maintenance of process data, and examples illustrating proposed
methods and software are included. Chapters 1, 4, 6, 8, and 9
discuss how to make valid interpretations of results and achieve
more efficient instructions from various sources of data. Chapters
3 and 7 propose and evaluate new methods to promote students'
learning by using evidence-based iterative learning engineering and
supporting the teachers' use of assessment data, respectively.
Chapter 2 provides technical details on the collection, storage,
and security protection of process data. Chapter 5 introduces
software for automating some aspects of developmental education and
the use of predictive modeling. Chapter 10 describes the barriers
to using psychosocial data for formative assessment purposes.
Chapter 11 describes a conceptual framework for adaptive learning
and testing and gives an example of a functional learning and
assessment system. In summary, the book includes comprehensive
perspectives of the recent development and challenges of using test
data for formative assessment purposes. The chapters provide
innovative theoretical frameworks, new perspectives on the use of
data with technology, and how to build new methods based on
existing theories. This book is a useful resource to researchers
who are interested in using data and technology to inform decision
making, facilitate instructional utility, and achieve better
learning outcomes.
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