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EdTech Context Inventory: Factor analyses for ten instruments to measure edtech implementation context features

delete2023-04-01
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PRE
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E
Emily A. Kohler *
DOI:10.1016/j.compedu.2022.104709delete
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摘要

摘要

En 中文
Context features, i.e., characteristics of an education technology (edtech implementation envi-ronment, are consistently associated with measures of edtech implementation. However, these features are inconsistently measured, and educators do not have shared language to discuss or ways in which to quantify these context features. This study describes the development and factor analysis of ten instruments that comprise the EdTech Context Inventory; each instrument mea-sures one context feature identified and defined in the EdTech Genome Project. We first conduct exploratory factor analyses (EFA) for each instrument based on theoretically hypothesized factors with data collected from 412 United States educators in spring 2021. Next, we use a structural equation modeling approach to conduct confirmatory factor analyses (CFAs) for each instrument based on EFA results with data collected from 1125 United States educators between fall 2021 and spring 2022. Results from the CFAs confirm between three and six factors per instrument, with 8-24 items per instrument. Each instrument also demonstrates a satisfactory level of reli-ability. The instruments in the EdTech Context Inventory are valuable tools for creating robust profiles of district edtech implementation contexts and have practical applications for supporting educators' edtech implementation.
Keyword:
Education technology implementation
Context features
Individual characteristics
Setting characteristics
Factor analysis

期刊

C
Computers and Education
IF:
10.5
论文数:
5.0K
被引数:
2.9W

机构

U
University of Virginia
学者数:
3.0W
论文数: 2.7W
被引数: 4.1W
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