Using Cognitive And Affective Metrics In Educational Simulations And Games

Presenting original studies and rich conceptual analyses, this volume explores how cognitive and affective metrics can be used to effectively assess, modify, and enhance learning and assessment outcomes of simulations and games used in education and training. The volume responds to the increasing use of computer-based simulations and games across academic and professional sectors by bringing together contributions from different research communities, including K-12 and postsecondary education, medical, and military contexts. Drawing on empirical results, the chapter authors focus on the design and assessment of educational simulations and games. They describe how quantitative and qualitative metrics can be used effectively to evaluate and tailor instructional resources to the cognitive and affective needs of the individual learner. In doing so, the volume enhances understanding of how games and simulations can intersect with the science of learning to improve educational outcomes. Given its rigorous and multidisciplinary approach, this book will prove an indispensable resource for researchers and scholars in the fields of educational assessment and evaluation, educational technology, military psychology, and educational psychology.

Presenting original studies and rich conceptual analyses, this volume explores how cognitive and affective metrics can be used to effectively assess, modify, and enhance learning and assessment outcomes of simulations and games used in education and training. The volume responds to the increasing use of computer-based simulations and games across academic and professional sectors by bringing together contributions from different research communities, including K-12 and postsecondary education, medical, and military contexts. Drawing on empirical results, the chapter authors focus on the design and assessment of educational simulations and games. They describe how quantitative and qualitative metrics can be used effectively to evaluate and tailor instructional resources to the cognitive and affective needs of the individual learner. In doing so, the volume enhances understanding of how games and simulations can intersect with the science of learning to improve educational outcomes. Given its rigorous and multidisciplinary approach, this book will prove an indispensable resource for researchers and scholars in the fields of educational assessment and evaluation, educational technology, military psychology, and educational psychology.

Presenting original studies and rich conceptual analyses, this volume reports on theoretical issues involved in the use of simulations and games in educational assessment. Chapters consider how technologies can be used to effectively assess, modify, and enhance learning and assessment in education and training. By highlighting theoretical issues arising from the use of games and simulations as assessment tools for selection and classification, training, and evaluation across educational and workplace contexts, the volume offers both broad conceptual views on assessment, as well as rich descriptions of various, context-specific applications. Through a focus that includes both quantitative and qualitative approaches, policy implications, meta-analysis, and constructs, the volume highlights commonalities and divergence in theoretical research being conducted in relation to K-12, post-secondary, and military education and assessment. In doing so, the collection enhances understanding of how games and simulations can intersect with the science of learning to improve educational outcomes. Given its rigorous and multidisciplinary approach, this book will prove an indispensable resource for researchers and scholars in the fields of educational assessment and evaluation, educational technology, military psychology, and educational psychology.

Artificial intelligence (AI) and robotics are major breakthrough technologies that are transforming the economy and society. The OECD’s Artificial Intelligence and the Future of Skills (AIFS) project is developing a programme to assess the capabilities of AI and robotics, and their impact on education and work.

This book focuses on the topic of competency-based scenario design as it relates to Intelligent Tutoring Systems (ITSs). The current book is the ninth in a series of books that examine key topics in ITSs. The chapters in this book specifically relate the work presented to applications for the Generalized Intelligent Framework for Tutoring (GIFT) (Sottilare, Brawner, Goldberg, & Holden, 2012; Sottilare, Brawner, Sinatra, & Johnston, 2017). GIFT is an open-source, domain independent, service-oriented, modular architecture for ITSs. GIFT has specifically been designed to allow for reusability of the GIFT architecture, GIFT tools, and instructional content materials. Further, GIFT has been designed with the goals of reducing the amount of time necessary to author ITSs, and reducing the skill level required for the authoring process. GIFT can be used to create ITSs that can be distributed both locally on a computer and virtually in the Cloud. In addition to creating ITSs, GIFT can be used to examine instructional outcomes, and conduct research. The topic of this book, Competency-Based Scenario Design is highly relevant to the development of ITSs. Scenarios are information-rich task/problem contexts that are closely aligned with real-world situations that professionals face in their jobs. The tasks/problems exhibit ecological validity rather than stripped-down abstract simplifications. Developers of ITSs and other adaptive instructional systems need to have principled guidance on how to design these scenarios. An example scenario may be a close match to a particular situation in the past, but not be representative of a large range of situations that professionals experience in their job. An example scenario may be very realistic, but not provide reliable and valid assessments of the learners' performance to guide assessments (summative, formative, or stealth). Research teams that build high quality scenarios need to include expertise in the targeted profession, assessment, learning science, and computer science. The current book brings together experts on ITSs to discuss their work as it applies to Competency-Based Scenario Design. We believe that this book can be used as a resource for those who have an interest in developing Scenarios for ITSs, and who want to learn more about how to do so.

Using Games and Simulations for Teaching and Assessment: Key Issues comprises a multidisciplinary investigation into the issues that arise when using games and simulations for educational purposes. Using both theoretical and empirical analyses, this collection examines cognitive, motivational, and psychometric issues with a focus on STEM content. Unlike other research-based volumes that focus solely on game design or the theoretical basis behind gaming, this book unites previously disparate communities of researchers—from civilian to military contexts as well as multiple disciplines—to critically explore current problems and illustrate how instructionally effective games and simulations should be planned and evaluated. While computer-based simulations and games have the potential to improve the quality of education and training, Using Games and Simulations for Teaching and Assessment: Key Issues shows how the science of learning should underlie the use of such technologies. Through a wide-ranging yet detailed examination, chapter authors provide suggestions for designing and developing games, simulations, and intelligent tutoring systems that are scientifically-based, outcomes-driven, and cost-conscious.

This book explores the integration of AI-powered chatbots such as ChatGPT into higher education for instructional and communication purposes. The author emphasizes the responsibility of higher education institutions to equip students with advanced skills for writing with AI assistance, and prepare them for an increasingly AI-driven world. Offering numerous practical tips, the book demonstrates how universities can increase student success, and stem the rising cost of higher education by employing AI tools. The chapters discuss streamlining tasks such as grading, providing feedback, and handling administrative duties, to show how educators can be enabled to focus on more meaningful aspects of their work. The author also reflects on the philosophical and ethical considerations and potential pitfalls of relying on AI in higher education, including concerns about academic integrity and the importance of human input in the learning process. The author offers a responsible and informed approach to incorporating the new powerful tools into the academic landscape. This volume will be a key resource for higher education faculty and administrators seeking to navigate the complex intersection of AI and writing.