Machine Learning in Educational Sciences: Approaches, Applications and Advances [Hardcover]

This comprehensive volume investigates the untapped potential of machine learning in educational settings. It examines the profound impact machine learning can have on reshaping educational research. Each chapter delves into specific applications and advancements, sheds light on theory-building, and multidisciplinary research, and identifies areas for further development. It encompasses various topics, such as machine-based learning in psychological assessment. It also highlights the power of machine learning in analyzing large-scale international assessment data and utilizing natural language processing for science education. With contributions from leading scholars in the field, this book provides a comprehensive, evidence-based framework for leveraging machine-learning approaches to enhance educational outcomes. The book offers valuable insights and recommendations that could help shape the future of educational sciences. 

Using machine learning in educational research.- Machine learning approaches to predict non-completion in AP statistics courses.- Predicting student attrition in university courses.- Machine learning based identification strategy of circumstances in the analysis of inequality of opportunity.- Machine learning applications for early and on-going warning systems in education.- Using neural networks for analyzing large-scale international assessment data.- Utilizing natural language processing and large language models in science education.- Machine based learning in psychological assessment.- Applying topic modeling to understand assessment practices of U.S. College instructors in response to the COVID-19 pandemic.- Penalized regression in educational large-scale assessments.- Applying machine learning to augment the design and assessment of immersive learning experience.- Automatic creation of concept maps to generate Learning Coefficients in adaptive assessments.- Camelot: A council of machine learning straló!