K-Math Workbook Grade 6. This item is unavailable.K-Math Workbook Grade 6

Strengthen your child’s sixth-grade Math skills with next generation tools of the K-Math Workbook. In this workbook, all practice pages are fully organized by the Common Core State Standards (CCSS). The progressive practices and assessments integrate state-of-the-art tools in this workbook, so your child will strengthen skills for the state math exam and CCSS with fun! By scanning each Item's QR code with any smart device, one can instantly access these additional features such as detailed solutions, item drill, and more practices. By scanning the Exam QR code in the Exam Page, one can submit answers and get immediate feedback such as: grades, correct answers, solution steps, additional practices, and diagnosis reports. All of these options help students track their progress and locate areas for improvement. Fully aligned to standards with smart learning technologies, the K-Math Workbook is your child’s pathfinder to math success.

JAEHWA CHOI is Associate Professor and Director of the Assessment, Testing, and Measurement program in the Graduate School of Education and Human Development at the George Washington University. His research interests include Truncated Logistic Item Response Theory Models (a.k.a., PTL IRT models), Automatic Item Generation (AIG), structural equation modeling (SEM), latent growth models, Markov chain Monte Carlo (MCMC) estimation methods, and web-based assessment and learning systems. In Computer Adaptive Formative Assessment (CAFA) project, he is in charge of overall project management focused on assessment system design and psychometric models. He received a Ph.D. in Measurement, Statistics, and Evaluation from the University of Maryland, College Park.

SUNHEE KIM is Associate Professor in Mathematics Division in the Howard Community College. Her research interests include optimization applications using MCMC methods, numerical analysis application to mathematical finance, and simulation based mathematics assessment. In CAFA project, she is in charge of Cognitive Knowledge Map and AIG item template development focused on Mathematics subject. She received Ph.D. in Applied Mathematics and Scientific Computation from the University of Maryland, College Park.

KYONGIL YOON is Associate Professor in the Computer Studies Department in the Arts and Sciences School in Notre Dame of Maryland University. His research interests include computer vision, computational geometry, web 2.0, and computer enhanced mathematics education. In CAFA project, he is in charge of web system design, database and system development focused on computational algorithms and procedures. He received Ph.D. in computer science from the University of Maryland, College Park.