Machine Learning in Educational Sciences

02.04.2025

Englisch

9789819993819

Springer Singapore

Nein

384

Broschiert

Approaches, Applications and Advances

Myint Swe Khine currently teaches at the School of Education, Curtin University, Australia. He has more than 30 years of experience in teacher education. He received Master's degrees from the University of Southern California, USA, University of Surrey, UK, and the University of Leicester, UK, and a Doctoral degree from Curtin University, Australia. He worked at the National Institute of Education, Nanyang Technological University, Singapore, and was a Professor at Emirates College for Advanced Education in the United Arab Emirates. He has wide-ranging research interests in teacher education, science education, learning sciences, psychometrics, measurement, assessment, and evaluation. He is a member of the Editorial Advisory Board of several international academic journals. Throughout his career, he has published over 40 edited books. The most recent volumes include Methodology for Multilevel Modelling in Education Research: Concepts and Applications (Springer, 2022), and Rhizomatic Metaphor: Legacy of Deleuze and Guattari in Education and Learning (Springer, 2023).

Learning Analytics, Data Science in Education, Educational Data Mining, Machine Learning, Natural Language Processing in Education, Predictive Modeling in Education, Artificial Intelligence in Education

JN - Pädagogik UNF - Data Mining UYQE - Wissensbasierte Systeme, Expertensysteme UYQ - Künstliche Intelligenz

235 mm

15.5 cm