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Nicholas, Karen; Fletcher, Jo – Educational Review, 2017
Advances in learning approaches can enhance deeper levels of mathematical thinking and engagement through the use of new digital environments and technologies. The growing utilisation of portable digital devices in schools has meant there are enhanced tools to support mathematical learning and understandings. This article focused on those who work…
Descriptors: Thinking Skills, Mathematics Instruction, Information Technology, Foreign Countries
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Istance, David; Kools, Marco – European Journal of Education, 2013
This article presents in summary a selection of the work conducted by OECD in the field of technology and education, which has been an on-going focus of OECD work since the 1980s. Recently, much of this has been under the heading of "New Millennium Learners", but it has also included the widening of student achievement surveys towards…
Descriptors: Educational Technology, Holistic Approach, Instructional Innovation, Information Technology
Pavlekovic, Margita, Ed. – Online Submission, 2009
Research in the field of mathematics teaching implies multi- and interdisciplinarity. We believe that the lectures, discussions and experience exchange between Croatian and international participants of the Mathematics and Children meetings (scientists from Slovenia, Bosnia and Herzegovina, Austria, Hungary, Serbia) will initiate and intensify…
Descriptors: Electronic Learning, Extracurricular Activities, Mathematics Education, Teacher Effectiveness
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