Enhancing Effective Instruction and Learning Using Assessment Data

Hong Jiao, Robert W. Lissitz

• Publisher: Information Age Publishing
• Year: 2022
• Print ISBN: 9781648026263, 9781648026270
• eBook ISBN: 9781648026287
• Topic: Education
• Subtopic: Education Administration

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.

Table of contents

• Cover
• Series
• Title
• Copyright
• CONTENTS
• 1. Technology Enhanced Formative Assessment Increases the Efficacy of the Homework Review Process
• 2. Collection of Process Data in Web-Based Assessment Systems and Its Applications to Validating Noncognitive Constructs
• 3. Iterative Online Course Engineering Using Reinforcement Learning With Students’ Performance Profile
• 4. The Promise of Learning Progressions-Based Classroom Assessments to Improve Instruction
• 5. The Use of Predictive Modeling for Assessing College Readiness
• 6. Designing Score Reports to Maximize Validity and Instructional Utility
• 7. The Effects of a Formative Assessment Intervention on Teacher and Student Understanding of Basic Mathematical Principles
• 8. On Determining the Efficacy of Using Learning Maps as an Organizing Structure for Formative Assessment: Some Lessons Learned
• 9. A Balanced Approach to Using Assessment Information to Improve Teaching and Learning
• 10. Not All That Counts Is Safe for Counting: Barriers to Collecting Learning Data for Assessment Purposes
• 11. Leveraging Ideas from Adaptive Testing to Adaptive Learning: The HERA Showcase
• Back Cover