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Bakker, Merel; Torbeyns, Joke; Verschaffel, Lieven; De Smedt, Bert – Journal of Educational Psychology, 2022
Many studies in the past decades have focused on low and typical mathematics achievers, yet little is known about children with high mathematics achievement, particularly at a young age. The current study aimed to fill this gap and started from the early work of Krutetskii (1976) as a theoretical lens to study the characteristics of high…
Descriptors: High Achievement, Elementary School Students, Elementary School Mathematics, Mathematics Achievement
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Sessions, Laird; Kang, Mi Ok; Womack, Sue – TechTrends: Linking Research and Practice to Improve Learning, 2016
In this study the authors investigated the effects of integrating iPad applications into writing instruction for fifth grade students. By comparing the writing of students taught with paper and pencil methods with that of students utilizing the iPad writing applications, two research questions guided the study: (1) Are there differences in student…
Descriptors: Writing Instruction, Handheld Devices, Technology Integration, Elementary School Students
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Khunyakari, Ritesh P. – Contemporary Education Dialogue, 2015
Enabling learning through meaningful classroom experiences has always been a challenge for teachers. Bringing about a balance of the "conceptual" and the "hands-on", along with contextual embeddedness in problem-solving situations, broadly characterises the experience of development and trials of three Design and Technology…
Descriptors: Foreign Countries, Middle School Students, Experiential Learning, Problem Solving
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection