E-Book, Englisch, Band 1, 304 Seiten
Tan / Low / Tay Singapore Math and Science Education Innovation
1. Auflage 2021
ISBN: 978-981-16-1357-9
Verlag: Springer Nature Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
Beyond PISA
E-Book, Englisch, Band 1, 304 Seiten
ISBN: 978-981-16-1357-9
Verlag: Springer Nature Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
This edited volume explores key areas of interests in Singapore math and science education including issues on teacher education, pedagogy, curriculum, assessment, teaching practices, applied learning, ecology of learning, talent grooming, culture of science and math, vocational education and STEM. It presents to policymakers and educators a clear picture of the education scene in Singapore and insights into the role of math and science education in helping the country excel beyond international studies such as PISA, the pedagogical and curricula advancements in math and science learning, and the research and practices that give Singaporean students the competitive edge in facing the uncertain and challenging landscape of the future.
Oon-Seng Tan is Centre Director of the Centre for Research in Child Development at the National Institute of Education, Nanyang Technological University, Singapore. His areas of research include teacher education, cognitive psychology and problem-based learning for which he is known internationally. Ee Ling Low is Dean, Teacher Education and Professor of Education (Applied Linguistics and Teacher Learning) at the English Language & Literature Academic Group at the National Institute of Education, Nanyang Technological University. She is an internationally renowned expert in Teacher Education and World Englishes and is constantly invited to deliver keynote addresses in both these disciplines. Eng Guan Tay is Associate Professor at the National Institute of Education, Nanyang Technological University, Singapore and Head of the Mathematics and Mathematics Education Academic Group. His main interest is in Graph Theory, in particular on directed graphs and optimal orientations of graphs. Yaw Kai Yan is an Associate Professor at the National Institute of Education, Nanyang Technological University, Singapore and Associate Dean Academic & Faculty Affairs. He has been involved in the training and professional development of science teachers (Grades 3 - 12) for over 20 years.
