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This book explores the integration of machine learning, natural language processing, and psychometrics to enhance educational assessments. It offers innovative frameworks for test development, focusing on intelligent automation and AI to improve efficiency and scalability in high-stakes testing. The authors emphasize ethical considerations and the importance of trust in AI systems, highlighting the need for transparency and reliability. The book is intended for educators, researchers, and professionals involved in educational assessment, aiming to advance methods for evaluating individual skills and abilities.

Educational tests and measurements. --- Artificial intelligence. --- Educational tests and measurements --- Artificial intelligence

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Enhance your knowledge and become certified with the Azure Virtual Desktop technology. This book provides the theory, lab exercises, and knowledge checks you need to prepare for the AZ-140 exam. The book starts with an introduction to Azure Virtual Desktop and AZ-140 exam objectives.

Virtual computer systems. --- Microsoft Azure (Computing platform) --- Examinations --- Machine systems, Virtual --- Virtual machine systems --- Computer systems --- Digital computer simulation --- Virtual computer systems.. --- Examinations. --- Competitive examinations --- Tests --- Questions and answers --- Educational tests and measurements --- Windows Azure (Computing platform) --- Computing platforms

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Use this book to study for the PL-300 Microsoft Power BI Data Analyst exam. The book follows the “Skills Measured” outline provided by Microsoft to help focus your study. Each topic area from the outline corresponds to an area covered by the exam, and the book helps you build a good base of knowledge in each area. Each topic is presented with a blend of practical explanations, theory, and best practices. Power BI is more than just the Power BI Desktop or the Power BI Service. It is two distinct applications and an online service that, together, enable business users to gather, shape, and analyze data to generate and present insights. This book clearly delineates the purpose of each component and explains the key concepts necessary to use each component effectively. Each chapter provides best practices and tips to help an inexperienced Power BI practitioner develop good habits that will support larger or more complex analyses. Many business analysts come to Power BI with a wealth of experience in Excel and particularly with pivot tables. Some of this experience translates readily into Power BI concepts. This book leverages that overlap in skill sets to help seasoned Excel users overcome the initial learning curve in Power BI, but no prior knowledge of any kind is assumed, terminology is defined in non-technical language, and key concepts are explained using analogies and ideas from experiences common to any reader. After reading this book, you will have the background and capability to learn the skills and concepts necessary both to pass the PL-300 exam and become a confident Power BI practitioner. What You Will Learn Create user-friendly, responsive reports with drill-throughs, bookmarks, and tool tips Construct a star schema with relationships, ensuring that your analysis will be both accurate and responsive Publish reports and datasets to the Power BI Service, enabling the report (and the dataset) to be viewed and used by your colleagues Extract data from a variety of sources, enabling you to leverage the data that your organization has collected and stored in a variety of sources Schedule data refreshes for published datasets so your reports and dashboards stay up to date Develop dashboards with visuals from different reports and streaming content.

Microsoft software. --- Microsoft .NET Framework. --- Microsoft. --- Computer software --- Examinations. --- Microsoft Power BI (Computer file) --- Competitive examinations --- Tests --- Questions and answers --- Educational tests and measurements --- Microsoft software --- Business --- Examinations --- Data processing --- Trade --- Economics --- Management --- Commerce --- Industrial management

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Teachers spend a great amount of time grading free text answer type questions. To encounter this challenge an auto-grader system is proposed. The thesis illustrates that the auto-grader can be approached with simple, recurrent, and Transformer-based neural networks. Hereby, the Transformer-based models has the best performance. It is further demonstrated that geometric representation of question-answer pairs is a worthwhile strategy for an auto-grader. Finally, it is indicated that while the auto-grader could potentially assist teachers in saving time with grading, it is not yet on a level to fully replace teachers for this task. About the author Robin Richner was working as a Machine Learning Engineer in the edtech industry exploring ways to help teachers in their daily life. He now moved on to the web3 industry.

Grading and marking (Students) --- Data processing. --- Graded schools --- Marking (Students) --- Students --- Educational tests and measurements --- Examinations --- School reports --- Grading and marking --- Interpretation --- Rating of --- Technological innovations. --- Teachers --- Innovation and Technology Management. --- Teaching and Teacher Education. --- Training of. --- Teacher education --- Teacher training --- Teachers, Training of --- Breakthroughs, Technological --- Innovations, Industrial --- Innovations, Technological --- Technical innovations --- Technological breakthroughs --- Technological change --- Creative ability in technology --- Inventions --- Domestication of technology --- Innovation relay centers --- Research, Industrial --- Technology transfer

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This fourth volume of PISA 2012 results examines how student performance is associated with various characteristics of individual schools and of concerned school systems. It discusses how 15-year old students are selected and grouped into different schools, programmes, and education levels, and how human, financial, educational and time resources are allocated to different schools. The volume also examines how school systems balance autonomy with collaboration, and how the learning environment in school shapes student performance. Trends in these variables between 2003 and 2012 are examined when comparable data are available, and case studies, examining the policy reforms adopted by countries that have improved in PISA, are presented throughout the volume.

Educational tests and measurements. --- Educational evaluation. --- School management and organization. --- School improvement programs. --- Programme for International Student Assessment. --- Improvement programs, School --- Instructional improvement programs --- Programs, School improvement --- School self-improvement programs --- Educational administration --- Inspection of schools --- School administration --- School inspection --- School operation policies --- School organization --- Schools --- Educational assessment --- Educational program evaluation --- Evaluation research in education --- Instructional systems analysis --- Program evaluation in education --- Self-evaluation in education --- Educational measurements --- Mental tests --- Tests and measurements in education --- Inspection --- Management and organization --- Organisation for Economic Co-operation and Development. --- International Programme for Student Assessment --- OECD/PISA --- PISA --- Programa Internacional de Avaliação de Alunos --- Program for International Student Assessment --- Starptautiskā skolēnu novērtēšanas programma --- Programme international pour le suivi des acquis des élèves --- Programa Internacional de Evaluación de Estudiantes --- School management and organization --- Educational planning --- Management --- Evaluation --- Psychological tests for children --- Psychometrics --- Students --- Examinations --- Psychological tests --- Rating of --- Administration, Educational --- Operation policies, School --- Policies, School operation --- Education --- Organization --- Educational tests and measurements --- Educational evaluation