Multi-layer and Multi-level Dynamic Evaluation System for Teachers' Data Literacy Ability

Zhiwei Yang; Fengchun Liu; Chunying Zhang; Liya Wang

doi:10.54097/ijeh.v6i1.3058

Authors

Zhiwei Yang
Fengchun Liu
Chunying Zhang
Liya Wang

DOI:

https://doi.org/10.54097/ijeh.v6i1.3058

Keywords:

Data Literacy, Dynamic Evaluation, Multi-level Indicators.

Abstract

This paper establishes a dynamic evaluation model of teachers' data literacy ability by building three levels of indicators and seven characteristics, namely, Data Awareness Literacy, Data Knowledge and Cultural Literacy, and Data Technology Literacy. In addition, the data literacy is divided into four levels of ABCD, pointing out the specific requirements of different levels, and introducing a dynamic weight matrix into the model to build a complete multi-level dynamic evaluation model of teachers' data literacy ability.

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References

Mandinach E B, Gummer E S. What does it mean for teachers to be data literate: Layingout the skills, knowledge, and dispositions[J]. Teaching and Teacher Education, 2016, 60: 366-376.

Australian Bureau of Statistics. Draft Statistical Capability Framework [EB/OL]. [2015-09-17]. http://www.abs.gov.au/ websitedbs/ a3121120.nsf/ home/ ABS+Statistical+Capability+Framework.

Boudett, K.P.CityE.A.,& MurnaneR.J. Data Wise: A Step-by-step Guide to Using Assessment Results to Improve Teaching and Learning[M].Cambridge, MA: Harvard Education Press, 2005.108.

Mandinach,E.B., Honey, M.,& Light, D.A Theoretical Framework for Data-driven Decision Making[R]. Paper Presented at the Meeting of the American Educational Research Association,San Francisco,CA, 2006-04-09.