Research on Teacher Data Literacy Competency Model and Development Strategy in Smart Education
With the deep integration of information technology ineducation， teaching activities in smart education environment will generate huge amount of educational data ， and the role of data in guiding teaching activateswill bemore and more important. Multi-data-driven teaching will become the mainstream of teaching practice for teachers in the future. Teachers can obtain diversified data through different data platforms and mobile apps， revealing the hidden information such as students ' behavior and learning preferences ， which will breaktraditional teaching methods that based entirely on experiences or observations. To clarify the teachers ' data literacy competence requirements and develop strategies to improve teachers ' ability in using data-driventeaching， this study uses literature analysis and case study methods to summarize the present research situation of teacher data literacy at home and abroad. A four-level model of teachers' data literacy ability was constructed， which includes: knowledge and skills level， teaching operation level ， inquiry teaching level ， andattitudes and awareness level. This model provides a reasonable description framework for improving teachers ' data literacy ability. Combining with the requirement of teachers ' data literacy at all levels and the practice of foreign training， this paper puts forward the strategy of teachers ' data literacy competence development. Finally， togetherwiththe empirical analysis from foreign countries， the study can provide a reference for the development of data literacy ability of domestic teachers in the future so as to improve the teachers ' overall teaching qualities.
|關鍵詞||数据素养、智慧教育、能力模型、教师专业发展、大数据、data literacy、smart education、competency model、teacher professional development、big data|