Computational Psychometrics New Methodologies For A New Generation Of Digital Learning And Assessment

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Computational Psychometrics New Methodologies For A New Generation Of Digital Learning And Assessment

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Author : Alina A. von Davier
language : en
Publisher: Springer Nature
Release Date : 2022-01-01

Computational Psychometrics New Methodologies For A New Generation Of Digital Learning And Assessment written by Alina A. von Davier and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-01 with Education categories.

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

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Author : Patricia Martinková
language : en
Publisher: CRC Press
Release Date : 2023-07-03

Computational Aspects Of Psychometric Methods written by Patricia Martinková and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-03 with Psychology categories.

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. The datasets and the R code can be accessed here: https://www.cs.cas.cz/comps/CAPMbook/.

Advancing Natural Language Processing In Educational Assessment

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Author : Victoria Yaneva
language : en
Publisher: Taylor & Francis
Release Date : 2023-06-05

Advancing Natural Language Processing In Educational Assessment written by Victoria Yaneva and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-05 with Education categories.

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.

Research For Practical Issues And Solutions In Computerized Multistage Testing

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Author : Duanli Yan
language : en
Publisher: Taylor & Francis
Release Date : 2024-12-27

Research For Practical Issues And Solutions In Computerized Multistage Testing written by Duanli Yan and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-27 with Education categories.

This volume presents a comprehensive collection of the latest research findings supporting the current and future implementations and applications of computerized multistage testing (MST). As a sequel to the widely acclaimed Computerized Multistage Testing: Theory and Applications (2014) by Yan, von Davier, and Lewis, this volume delves into the experiences, considerations, challenges, and lessons learned over the past years. It also offers practical approaches and solutions to the issues encountered. The topics covered include purposeful MST designs, practical approaches for optimal design, assembly strategies for accuracy and efficiency, hybrid designs, MST with natural language processing, practical routing considerations and methodologies, item calibration and proficiency estimation methods, routing and classification accuracy, added value of process data, prediction and evaluation of MST performance, cognitive diagnostic MST, differential item functioning, robustness of statistical methods, simulations, test security, the new digital large-scale Scholastic Aptitude Test, software for practical assessment and simulations, artificial intelligence impact, and the future of adaptive MST. This volume is intended for students, faculty, researchers, practitioners, and education officers in the fields of educational measurement and evaluation in the United States and internationally.

Design Recommendations For Intelligent Tutoring Systems Volume 10 Strengths Weaknesses Opportunities And Threats Swot Analysis Of Intelligent Tutoring Systems

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Author : Anne Sinatra
language : en
Publisher: U.S. Army DEVCOM – Soldier Center
Release Date : 2023-03-10

Design Recommendations For Intelligent Tutoring Systems Volume 10 Strengths Weaknesses Opportunities And Threats Swot Analysis Of Intelligent Tutoring Systems written by Anne Sinatra and has been published by U.S. Army DEVCOM – Soldier Center this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-10 with Computers categories.

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

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Author : Cynthia Sistek
language : en
Publisher: Corwin Press
Release Date : 2024-01-11

Assessing Through The Lens Of Social And Emotional Learning written by Cynthia Sistek and has been published by Corwin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-11 with Education categories.

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.

Generative Ai In Education

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Author : Ilaria Torre
language : en
Publisher: Frontiers Media SA
Release Date : 2024-12-24

Generative Ai In Education written by Ilaria Torre and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-24 with Science categories.

In the field of education, there is a growing interest in the use of Generative Artificial Intelligence to reshape the educational landscape. Led by our esteemed Associate Editors (Dr. Zapata-Rivera & Prof. Torre) and Review Editors (Profs. Lee, Sarasa-Cabezuelo & Libbrecht & Dr. Ghergulescu), this editorial initiative aims to investigate the transformative potential of Generative AI in various aspects of education. By leveraging machine learning models, these intelligent systems extract useful insights from vast amounts of data, making them capable of delivering highly individualized content. They can analyze a learner's proficiency level, learning style, and pace, and then tailor the study material accordingly. Whether a learner prefers visual aids, textual content, or interactive modules, Generative AI can adapt its content generation strategies to meet distinct preferences and learners’ needs. This ensures an elevated engagement level and enhanced comprehension, highlighting its potential to transform traditional teaching methodologies.

Principles And Applications Of Adaptive Artificial Intelligence

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Author : Lv, Zhihan
language : en
Publisher: IGI Global
Release Date : 2024-01-24

Principles And Applications Of Adaptive Artificial Intelligence written by Lv, Zhihan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-24 with Computers categories.

The rapid adoption of deep learning models has resulted in many business services becoming model services, yet most AI systems lack the necessary automation and industrialization capabilities. This leads to heavy reliance on manual operation and maintenance, which not only consumes power but also causes resource wastage and stability issues during system mutations. The inadequate self-adaptation of AI systems poses significant challenges in terms of cost-effectiveness and operational stability. Principles and Applications of Adaptive Artificial Intelligence, edited by Zhihan Lv from Uppsala University, Sweden, offers a comprehensive solution to the self-adaptation problem in AI systems. It explores the latest concepts, technologies, and applications of Adaptive AI, equipping academic scholars and professionals with the necessary knowledge to overcome the challenges faced by traditional business logic transformed into model services. With its problem-solving approach, real-world case studies, and thorough analysis, the Handbook provides practitioners with practical ideas and solutions, while also serving as a valuable teaching material and reference guide for students and educators in AI-related disciplines. By emphasizing self-adaptation, continuous model iteration, and dynamic learning based on real-time feedback, the book empowers readers to significantly enhance the cost-effectiveness and operational stability of AI systems, making it an indispensable resource for researchers, professionals, and students seeking to revolutionize their research and applications in the field of Adaptive AI.

Artificial Intelligence In Education The Intersection Of Technology And Pedagogy

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Author : Peter Ilic
language : en
Publisher: Springer Nature
Release Date : 2024-12-02

Artificial Intelligence In Education The Intersection Of Technology And Pedagogy written by Peter Ilic and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-02 with Computers categories.

This book offers a multidisciplinary perspective on the ways in which the careful integration of AI might enhance learning outcomes. By inviting dialogue between engineering (what is possible) and pedagogy (what might be desirable), the book offers a holistic view of AI's potential for education. Offering both case studies of practical implementation and pedagogically informed frameworks, it focuses on appropriately integrating technology for educational benefit, presenting a uniquely broad view. The contributors, who are both educators and technically proficient, bring insights into teaching and assessment approaches, research questions, and technological affordances or constraints. Essential for researchers, educators, and policymakers navigating the rapidly evolving educational technology landscape as AI becomes increasingly prevalent in every aspect of life.

Computer Aided Numerical Methods In Psychology

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Author : PressGrup Academician Team
language : en
Publisher: Prof. Dr. Bilal Semih Bozdemir
Release Date :

Computer Aided Numerical Methods In Psychology written by PressGrup Academician Team and has been published by Prof. Dr. Bilal Semih Bozdemir this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.

Psychology: Computer-Aided Numerical Methods Introduction to Numerical Methods in Psychology Advantages of Computer-Aided Numerical Analysis Data Collection and Preprocessing Linear Regression and Correlation Analysis Logistic Regression and Classification Principal Component Analysis (PCA) Cluster Analysis Time Series Analysis Bayesian Methods and Inference Monte Carlo Simulation Techniques Optimization Algorithms in Psychological Research Visualization and Interpretation of Results Practical Applications and Case Studies