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Title:
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INTEGRATED CONTEXTUAL LEARNING ENVIRONMENTS WITH SENSOR NETWORK FOR CROP CULTIVATION EDUCATION: CONCEPT AND DESIGN |
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Author(s):
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Rin-Ichiro Taniguchi, Daisaku Arita, Atsushi Shimada, Masanori Yamada, Yoshiko Goda, Ryota Yamamoto and Takashi Okayasu |
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ISBN:
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978-989-8533-93-7 |
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Editors:
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Demetrios G. Sampson, Dirk Ifenthaler, Pedro Isaías and Maria Lidia Mascia |
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Year:
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2019 |
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Edition:
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Single |
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Keywords:
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Crop Cultivation Education, Learning Support, Sensing System, Learning Analytics |
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Type:
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Full Paper |
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First Page:
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242 |
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Last Page:
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248 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This paper presents an outline of our project, in which we develop an observation framework for integrating lecture and
contextual learning in the field of crop cultivation. Specifically, we will use multi sensing of learners activities in
classrooms, and contextual learning in fieldwork, farm planting, and farming environments. The motivation for our
project is twofold: First, crop cultivation provides a powerful illustration of educational technology. It requires both
explicit knowledge (from lectures) and implicit knowledge (from contextual learning outside of class). Second, from a
practical viewpoint, the number of Japanese farmers is shrinking due to low income and to aging population. Thus, in
order to maintain crop yields, farming skills must be transferred efficiently to novice farm workers. Herein, the major
features of our framework will be described. |
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