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Download full textNeidorf, Teresa; Arora, Alka; Erberber, Ebru; Tsokodayi, Yemurai; Mai, Thanh – International Association for the Evaluation of Educational Achievement, 2020
The International Association for the Evaluation of Educational Achievement (IEA) Research for Education series represents a further effort by IEA to capitalize on it's unique datasets, so as to provide powerful information for policymakers and researchers. Each report focuses on a specific topic and is produced by a dedicated team of leading…
Descriptors: Misconceptions, Mathematical Concepts, Scientific Concepts, Mathematics Instruction
Peer reviewed
Direct linkAbrahams, Ian; Homer, Matt; Sharpe, Rachael; Zhou, Mengyuan – Research in Science & Technological Education, 2015
Background: Despite the large body of literature regarding student misconceptions, there has been relatively little cross-cultural research to directly compare the prevalence of common scientific misconceptions amongst students from different cultural backgrounds. Whilst previous research does suggest the international nature of many…
Descriptors: Science Instruction, Physics, Scientific Concepts, Misconceptions
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
