• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Machine Learning in Educational Sciences: Approaches, Applications and Advances

Machine Learning in Educational Sciences: Approaches, Applications and Advances

Hardcover

DatabasesGeneral ComputersGeneral Education

ISBN10: 9819993784
ISBN13: 9789819993789
Publisher: Springer
Published: Feb 25 2024
Pages: 384
Weight: 1.63
Height: 0.94 Width: 6.14 Depth: 9.21
Language: English

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.

Also from

Khine, Myint Swe

Also in

General Education