Monographs in the Psychology of Education – serie

The book examines the history of learning styles, including their widespread acceptance and endorsement in educational settings. In addition, it explores both the support of and opposition to learning styles by academics. The book discusses cases for and against learning styles and offers a systematic review of empirical evidence. It describes consequences of promoting learning styles in the classroom and offers insights into future directions in research and practice.The book offers a critical examination that adds to the broader discussion of what is truthful and what is fake news in education.Key areas of coverage include:History of learning styles.Widespread belief in and uses of learning styles.Review of recent learning styles coverage in academic journals.The case for learning styles.The case against learning styles.Consequences associated with using learning styles.Learning Styles, Classroom Instruction, and Student Achievement is an essential resource for researchers, professors, and graduate students as well as teachers and educational professionals in such varied fields as clinical child and school psychology, educational psychology, social work, public health, teaching and teacher education, and educational practice and policy.

The book examines the history of learning styles, including their widespread acceptance and endorsement in educational settings. In addition, it explores both the support of and opposition to learning styles by academics. The book discusses cases for and against learning styles and offers a systematic review of empirical evidence. It describes consequences of promoting learning styles in the classroom and offers insights into future directions in research and practice.The book offers a critical examination that adds to the broader discussion of what is truthful and what is fake news in education.Key areas of coverage include:History of learning styles.Widespread belief in and uses of learning styles.Review of recent learning styles coverage in academic journals.The case for learning styles.The case against learning styles.Consequences associated with using learning styles.Learning Styles, Classroom Instruction, and Student Achievement is an essential resource for researchers, professors, and graduate students as well as teachers and educational professionals in such varied fields as clinical child and school psychology, educational psychology, social work, public health, teaching and teacher education, and educational practice and policy.

This open access book examines why reading and math test scores for boys and girls have differed since the origins of testing in the United States. It details the pattern of differences that have remained largely unchanged for more than 100 years in the United States and worldwide. The book explores why boys have modestly larger math test score means than girls, and why girls have far larger reading test score means than boys. Boys have larger test score variances for both tasks. The only data of focus—and thus the only data to be explained—are boys’ and girls’ test score sample means and variances.In addition, the book provides the only coherent theory of gender differences explaining math and reading test score means and variances obtained in observational settings. It develops the simple genetical idea framed within a finite probability mixture model; it provides parameter estimates and displays numerous estimated probability distributions associated with the selected accessible studies chosen for analysis; and it extends the theory and  provides explanations for never understood puzzling features of test score data. The book requires no auxiliary sources, although some understanding of random variables and probability theory is required to follow the formalization. It contains all technical details, including the estimation procedure and an R code implementation.Key areas of coverage include:·         Extensive literature summary from a unique data inequalities perspective.·         Perspective that challenges existing viewpoints on sex differences, falsifying conventional perspectives.·         Illustrates probability modeling of psychological data.·         Illustrates the failure of conventional statistics to explain data and the need for modeling data.Sex Differences in Reading and Math Test Scores of Children is an invaluable resource for researchers, professors, and graduate students in educational psychology, teaching and teacher education, literacy / language teaching and learning, mathematics education, curriculum studies, developmental psychology, statistics, and all interrelated disciplines.

This open access book examines why reading and math test scores for boys and girls have differed since the origins of testing in the United States. It details the pattern of differences that have remained largely unchanged for more than 100 years in the United States and worldwide. The book explores why boys have modestly larger math test score means than girls, and why girls have far larger reading test score means than boys. Boys have larger test score variances for both tasks. The only data of focus—and thus the only data to be explained—are boys’ and girls’ test score sample means and variances.In addition, the book provides the only coherent theory of gender differences explaining math and reading test score means and variances obtained in observational settings. It develops the simple genetical idea framed within a finite probability mixture model; it provides parameter estimates and displays numerous estimated probability distributions associated with the selected accessible studies chosen for analysis; and it extends the theory and  provides explanations for never understood puzzling features of test score data. The book requires no auxiliary sources, although some understanding of random variables and probability theory is required to follow the formalization. It contains all technical details, including the estimation procedure and an R code implementation.Key areas of coverage include:·         Extensive literature summary from a unique data inequalities perspective.·         Perspective that challenges existing viewpoints on sex differences, falsifying conventional perspectives.·         Illustrates probability modeling of psychological data.·         Illustrates the failure of conventional statistics to explain data and the need for modeling data.Sex Differences in Reading and Math Test Scores of Children is an invaluable resource for researchers, professors, and graduate students in educational psychology, teaching and teacher education, literacy / language teaching and learning, mathematics education, curriculum studies, developmental psychology, statistics, and all interrelated disciplines.

The book examines the intersections of online learning theories and models in the current research literature for teaching in digital environments in postsecondary education. It describes the connection between eLearning theory and practice to develop a pragmatic and adaptable model for the design, development, and implementation of interactive, personalized, and inclusive online learning experiences. The book discusses a model with three themes – personalization, inclusiveness, engagement (the P-I-E model) – that describe facilitation techniques, instructional design methods and evaluation tools to customize eLearning for higher education students. It offers theoretical underpinnings, implementation tips, a design checklist and evaluation questions for each of the model’s sections. In addition, the book presents an implementation plan for the elements of the model based on principles of change management and program planning. The volume can be used as either a comprehensive systemto design an entire online course or as a reference guide to improve selected components of an existing program.Key areas of coverage include:Review of eLearning theories.Examination of the characteristics of individual learners, professors, and class communities in online environments.Recommendations for instructional design, assessment, and evaluation for online students.Best practices for learner engagement including scheduling, communication, and user interface design.Program implementation strategies and evaluation questions for all sections of the P-I-E model.Personalized and Inclusive Engagement for the Design, Delivery, and Evaluation of University eLearning is an essential resource for instructional designers, college instructors, and university professors to create, implement, evaluate, and improve personalized and inclusive learning for postsecondary students.