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Visualizing Confidence in Entrepreneurship via PBL Using Causal AI: Results of Practical Education Program at Hiroshima University Published

NQ Score 77/100
N1 Content Completeness 8

AI Summary (NQ-processed)

Hootfolio Co., Ltd., in collaboration with NEC, conducted a PBL program using the causal AI 'causal analysis®' at Hiroshima University to teach data-driven decision making (EBPM).

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Frequently Asked Questions

Q: What is the purpose of the causal AI program implemented at Hiroshima University?
A: The purpose is for students to conduct causal analysis of survey data as educational designers and scientifically develop measures to enhance entrepreneurship.
Q: What are the features of the causal AI tool 'causal analysis' used?
A: It is a no-code solution that can visualize cause-and-effect relationships without specialized knowledge.
Q: What does EBPM mean in the context of education?
A: It refers to the process of making and evaluating educational policies based on scientific evidence, such as data, rather than experience or impressions.