Bøger i The MARCES Book Series serien

Explores the use of relevant methodology in data mining which is or could be applied to the interplay of education, statistics and computer science to solve psychometric issues and challenges in the new generation of assessments.

Explores the use of relevant methodology in data mining which is or could be applied to the interplay of education, statistics and computer science to solve psychometric issues and challenges in the new generation of assessments.

The general theme of this book is to present the applications of artificial intelligence (AI) in test development. In particular, this book includes research and successful examples of using AI technology in automated item generation, automated test assembly, automated scoring, and computerized adaptive testing.

The general theme of this book is to present the applications of artificial intelligence (AI) in test development. In particular, this book includes research and successful examples of using AI technology in automated item generation, automated test assembly, automated scoring, and computerized adaptive testing.

Addresses reliability and validity issues in growth modelling and value added modelling and presents the latest development in this area. In addition, some persistent issues have been approached from a new perspective. This edited volume provides a very good source of information related to the current explorations in student growth and teacher effectiveness evaluation.

Addresses reliability and validity issues in growth modelling and value added modelling and presents the latest development in this area. In addition, some persistent issues have been approached from a new perspective. This edited volume provides a very good source of information related to the current explorations in student growth and teacher effectiveness evaluation.

Presents the latest status of the development of two consortium assessment systems. It addresses the most challenging issues related to the next generation of state testing programmes including development of innovative items assessing higher order thinking skills, scoring of such items, standard setting and linkage with the old state specific standards, and validity issues.

Presents the latest status of the development of two consortium assessment systems. It addresses the most challenging issues related to the next generation of state testing programmes including development of innovative items assessing higher order thinking skills, scoring of such items, standard setting and linkage with the old state specific standards, and validity issues.

Addresses test fairness challenges in the new generation assessment. This book clarifies misconceptions of test fairness including the use of admission test results in cohort comparison, the use of international assessment results in trend evaluation, whether standardization and fairness necessarily mean uniformity, and whether standardization can ensure fairness.

Addresses test fairness challenges in the new generation assessment. This book clarifies misconceptions of test fairness including the use of admission test results in cohort comparison, the use of international assessment results in trend evaluation, whether standardization and fairness necessarily mean uniformity, and whether standardization can ensure fairness.

The general theme of this book is to present innovative psychometric modelling and methods. In particular, the book includes research and successful examples of modeling techniques for new data sources from digital assessments, such as eye-tracking data, hint uses, and process data from game-based assessments.

The general theme of this book is to present innovative psychometric modelling and methods. In particular, the book includes research and successful examples of modeling techniques for new data sources from digital assessments, such as eye-tracking data, hint uses, and process data from game-based assessments.

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.

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.