Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment write by Alina A. von Davier. This book was released on 2022-01-01. Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment available in PDF, EPUB and Kindle. This book defines and describes a new discipline, named “computational psychometrics,” from the perspective of new methodologies for handling complex data from digital learning and assessment. The editors and the contributing authors discuss how new technology drastically increases the possibilities for the design and administration of learning and assessment systems, and how doing so significantly increases the variety, velocity, and volume of the resulting data. Then they introduce methods and strategies to address the new challenges, ranging from evidence identification and data modeling to the assessment and prediction of learners’ performance in complex settings, as in collaborative tasks, game/simulation-based tasks, and multimodal learning and assessment tasks. Computational psychometrics has thus been defined as a blend of theory-based psychometrics and data-driven approaches from machine learning, artificial intelligence, and data science. All these together provide a better methodological framework for analysing complex data from digital learning and assessments. The term “computational” has been widely adopted by many other areas, as with computational statistics, computational linguistics, and computational economics. In those contexts, “computational” has a meaning similar to the one proposed in this book: a data-driven and algorithm-focused perspective on foundations and theoretical approaches established previously, now extended and, when necessary, reconceived. This interdisciplinarity is already a proven success in many disciplines, from personalized medicine that uses computational statistics to personalized learning that uses, well, computational psychometrics. We expect that this volume will be of interest not just within but beyond the psychometric community. In this volume, experts in psychometrics, machine learning, artificial intelligence, data science and natural language processing illustrate their work, showing how the interdisciplinary expertise of each researcher blends into a coherent methodological framework to deal with complex data from complex virtual interfaces. In the chapters focusing on methodologies, the authors use real data examples to demonstrate how to implement the new methods in practice. The corresponding programming codes in R and Python have been included as snippets in the book and are also available in fuller form in the GitHub code repository that accompanies the book.
Computational Aspects of Psychometric Methods
Computational Aspects of Psychometric Methods - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Aspects of Psychometric Methods write by Patricia Martinková. This book was released on 2023-07-03. Computational Aspects of Psychometric Methods available in PDF, EPUB and Kindle. This book covers the computational aspects of psychometric methods involved in developing measurement instruments and analyzing measurement data in social sciences. It covers the main topics of psychometrics such as validity, reliability, item analysis, item response theory models, and computerized adaptive testing. The computational aspects comprise the statistical theory and models, comparison of estimation methods and algorithms, as well as an implementation with practical data examples in R and also in an interactive ShinyItemAnalysis application. Key Features: Statistical models and estimation methods involved in psychometric research Includes reproducible R code and examples with real datasets Interactive implementation in ShinyItemAnalysis application The book is targeted toward a wide range of researchers in the field of educational, psychological, and health-related measurements. It is also intended for those developing measurement instruments and for those collecting and analyzing data from behavioral measurements, who are searching for a deeper understanding of underlying models and further development of their analytical skills.
Advancing Natural Language Processing in Educational Assessment
Advancing Natural Language Processing in Educational Assessment - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advancing Natural Language Processing in Educational Assessment write by Victoria Yaneva. This book was released on 2023-06-05. Advancing Natural Language Processing in Educational Assessment available in PDF, EPUB and Kindle. Advancing Natural Language Processing in Educational Assessment examines the use of natural language technology in educational testing, measurement, and assessment. Recent developments in natural language processing (NLP) have enabled large-scale educational applications, though scholars and professionals may lack a shared understanding of the strengths and limitations of NLP in assessment as well as the challenges that testing organizations face in implementation. This first-of-its-kind book provides evidence-based practices for the use of NLP-based approaches to automated text and speech scoring, language proficiency assessment, technology-assisted item generation, gamification, learner feedback, and beyond. Spanning historical context, validity and fairness issues, emerging technologies, and implications for feedback and personalization, these chapters represent the most robust treatment yet about NLP for education measurement researchers, psychometricians, testing professionals, and policymakers. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-NonCommercial-No Derivatives 4.0 license.
Design Recommendations for Intelligent Tutoring Systems: Volume 10 - Strengths, Weaknesses, Opportunities and Threats (SWOT) Analysis of Intelligent Tutoring Systems
Design Recommendations for Intelligent Tutoring Systems: Volume 10 - Strengths, Weaknesses, Opportunities and Threats (SWOT) Analysis of Intelligent Tutoring Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Design Recommendations for Intelligent Tutoring Systems: Volume 10 - Strengths, Weaknesses, Opportunities and Threats (SWOT) Analysis of Intelligent Tutoring Systems write by Anne Sinatra. This book was released on 2023-03-10. Design Recommendations for Intelligent Tutoring Systems: Volume 10 - Strengths, Weaknesses, Opportunities and Threats (SWOT) Analysis of Intelligent Tutoring Systems available in PDF, EPUB and Kindle. This book is a resource for those who are new to intelligent tutoring systems (ITSs), as well as those with a great deal of experience with them. This is the tenth book in our Design Recommendations for Intelligent Tutoring Systems book series. The focus of this book is on Strengths, Weaknesses, Opportunities, and Threats (SWOT) Analyses of varying components of ITSs. Each chapter in the book represents a different topic area, and includes a SWOT analysis that is specific to that topic and how it relates to ITSs. This book can be read in order, or a reader can choose a specific topic area and move directly to that chapter. Each SWOT Analysis describes the current state of the topic area, and how the lessons learned from the analysis could be applied to the Generalized Intelligent Framework for Tutoring (GIFT) (Sottilare et al., 2012; Sottilare et al., 2017). GIFT is an ITS architecture that is open-source, modular, and domain independent (Sottilare et al., 2017). Each book in the design recommendations series has addressed a different ITS topic area, and how the work in each chapter can relate to and inform the GIFT architecture. GIFT has continually been in development, with features consistently being added to improve functionality, as well as reduce the skill requirement for authoring content in GIFT. GIFT is freely available in both downloadable and Cloud versions at https://www.GIFTtutoring.org.
Assessing Through the Lens of Social and Emotional Learning
Assessing Through the Lens of Social and Emotional Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Assessing Through the Lens of Social and Emotional Learning write by Cynthia Sistek. This book was released on 2024-01-11. Assessing Through the Lens of Social and Emotional Learning available in PDF, EPUB and Kindle. Help usher in a new era of student assessment This empowering guide revolutionizes the assessment process by putting students at the center. Dive into practical strategies and best practices for fostering social and emotional learning (SEL) competencies through student-centered assessments and discover how you can transform classrooms into inclusive spaces where learning thrives. Inside you′ll find Humanistic assessing practices to integrate into everyday teaching and learning Best practices for designing and implementing savvy SEL assessments Ways to develop a classroom that is student empowered and culturally relevant Rubrics, portfolios, and digital tools that demonstrate students’ competencies and knowledge through an SEL lens Explore dozens of practical examples, case studies, and field-tested activities that support research-based teaching and learning across the curriculum. Assessing Through the Lens of Social and Emotional Learning inspires educators to move beyond traditional testing to focus on nurturing and fostering skills that students will need for both academic and lifelong success.
