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| Teachers’ Data Driven Decision-Making: Contents, Difficulties and Optimization Strategies |
| LIU Ye-Qing |
| (Institute of Curriculum and Instruction, East China Normal University, Shanghai, 200062) |
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Abstract The wave of educational data driven decision-making is an important product of the standards-based reforms in basic education in the 1980s. When focusing on teachers’ data-driven decision making, we should reveal the implicit patterns of thinking and practice from the perspective of data conception and practice areas. Also attention should be paid on the plight of teachers caught in practice at an institutional level, cultural level, technical level and psychological level. On this basis, in order to establish the professional autonomy of teaches’ data-driven decision making, an effective professional learning strategies should ponder the path from the inside out.
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Received: 20 October 2014
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2015, Vol. 12 
