Machine Learning in Educational Sciences
Myint Swe Khine (Hrsg.)
* Affiliate Links
Links on findyourbook.com are so-called affiliate links. If you click on such an affiliate link and buy via this link, findyourbook.com receives a commission from the respective online shop or provider. For you, the price doesn't change.
Geisteswissenschaften, Kunst, Musik / Allgemeines, Lexika
Description
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.
customer reviews
Natural Language Processing in Education, Predictive Modeling in Education, Machine Learning, Data Science in Education, Artificial Intelligence in Education, Educational Data Mining, Learning Analytics