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).
AI Analysis
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.