Japan Journal of Educational Technology
Online ISSN : 2189-6453
Print ISSN : 1349-8290
ISSN-L : 1349-8290
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IR for Educational Planning, Learning Analytics, and Educational Engineering
Takeshi MATSUDAYuki WATANABE
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2017 Volume 41 Issue 3 Pages 199-208

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Abstract

In this paper, we examine the relationship between Institutional Research, or IR for educational planning and Learning Analytics through the intermediation of Educational Engineering. First, we review the study field and practices of IR from the perspective of Educational Engineering. Then, the implication of Learning Analytics for Educational Engineering is discussed. As a result, it is suggested that the objects and methods of Educational Engineering include those of IR and Learning Analytics because Educational Engineering attempts to solve problems in education and its environment by engineered approaches. This means that Educational Engineering has a potential to coordinate IR and Learning Analytics. Similarly, we point out the need of active interdisciplinary effort at the Educational Engineering side to expand a constructive relationship with these emerging academic disciplines.

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© 2017 Japan Society for Educational Technology
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