Enhancing Effective Instruction and Learning Using Assessment Data

The book introduces theories and practices for using assessment data to enhance learning and instruction, covering topics such as 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. It includes studies proposing new methods and strategies, technical details about the collection and maintenance of process data, and examples illustrating proposed methods and software. Chapters 1, 4, 6, 8, and 9 discuss valid interpretations of results and efficient instructions, while chapters 3 and 7 propose and evaluate new methods to promote students' learning. 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, and 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. It is a useful resource for researchers interested in using data and technology to inform decision making, facilitate instructional utility, and achieve better learning outcomes.

Format: Paperback / softback
Length: 242 pages
Publication date: 05 January 2022
Publisher: Information Age Publishing

This book offers theories and practices for utilizing assessment data to improve learning and instruction. It covers topics such as 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. Additionally, it includes studies proposing new methods and strategies, technical details about the collection and maintenance of process data, and examples illustrating proposed methods and software. Chapters 1, 4, 6, 8, and 9 discuss valid interpretations of results and 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 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. Overall, the book provides comprehensive perspectives on the recent development and challenges of using test data for formative assessment purposes. It offers innovative theoretical frameworks, new perspectives on the use of data with technology, and how to build new methods based on existing theories. It is a useful resource for researchers interested in using data and technology to inform decision making.

Weight: 374g
Dimension: 235 x 156 x 17 (mm)
ISBN-13: 9781648026263