arbiter
JournalsPricingAccount

Gaming simulations with Action Learning for community-based disaster reduction training

Yusuke Toyoda

Action Learning and Action Research Journal2016article
ABDC C
Weight
0.45

What the paper says

n this paper, I introduced how Action Learning is adaptable with Gaming Simulation to the context of community-based disaster reduction. With containing the characteristics of Action Learning, I showed theoretically that Gaming Simulation can be an effective tool for promoting disaster reduction and presented one practice of community-based disaster reduction activity. Although its causalities should be investigated more in detail, I hold theoretically that Action Learning can be incorporated to Gaming Simulation to find potential problems in future disaster and to improve the community’s coping capacity in a real world, though previous studies insisted that simulation is not a target of Action Learning that is based on the pedagogical notion that people learn most effectively when working on real-time problems occurring in the own work setting .

3 citations

Cite this paper

@article{yusuke2016,
  title        = {{Gaming simulations with Action Learning for community-based disaster reduction training}},
  author       = {Yusuke Toyoda},
  journal      = {Action Learning and Action Research Journal},
  year         = {2016},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Gaming simulations with Action Learning for community-based disaster reduction training

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.45

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.27 × 0.4 = 0.11
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.