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The Framework of Digital Learning Capacity for Digital Natives

Authors: Rongxia Zhuang; Junfeng Yang; Bo Li; Ying Zhang; Ronghuai Huang;

The Framework of Digital Learning Capacity for Digital Natives

Abstract

Digital capacity is of vital importance for the digital natives to live in both physical and virtual world. However, seldom research on digital learning capacity could be found in literature. This paper aims to investigate the framework of digital learning capacity for digital natives and the status of Chinese students' digital learning capacity according to a proposed digital learning capacity framework. A Digital Learning Capacity Questionnaire (DLCQ) was developed according to the proposed framework of digital learning capacity. Based on the survey results and analysis of data, a 4-factor 10-subscale questionnaire was validated. The relationship of each subscales was discussed and the status of digital learning capacity for Chinese students was reported.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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