Connecting learning analytics with learning research: the role of design-based research

Connecting learning analytics with learning research: the role of design-based research
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将学习分析与学习研究联系起来:基于设计的研究的作用

DOI:
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发表时间:
2016
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通讯作者:
P. Reimann
P. Reimann
中科院分区:
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文献类型:
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作者:
P. Reimann

文献摘要

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本文认为,学习分析(LA)可以为学习研究做出贡献,其目的不仅在于改进单纯应用意义上的学习和教学实践。事实上,如果洛杉矶开发的某些方法被更广泛地用于学习研究,就有可能改变学习研究。从四个维度探讨了推进学习研究的潜力:(1)数据量,(2)纵向数据,(3)来自多个层次的数据,(4)来自多个地点的数据。接着描述了学习科学中基于设计的研究如何成为通向LA的桥梁,以及它将如何将LA转变为一种也有助于推进学习理论和模型的方法论。
ABSTRACT This paper argues that learning analytics (LA) can make contributions to learning research, in addition to aiming for improvements in learning and teaching practices in a solely applied sense. Indeed, there is potential for transforming learning research if certain approaches developed in LA were used more extensively to study learning. The potential to advance learning research is explored along four dimensions: (1) data quantity, (2) longitudinal data, (3) data from multiple levels, and (4) data from multiple locations. This is followed by a description of how design-based research as practised in the learning sciences can serve as a bridge to LA, and how it would transform LA into a methodology that is also useful for advancing theories and models of learning.