[Research Report] 'Good Learning!' Users' Comprehension Increases by 20.9 Points! Data Proves Transformation into Professional Drivers
Cab Station Co., Ltd. has released empirical research results measuring the learning effects for new bus drivers using its 'Good Learning!' safety education system. A pre-post test revealed an average score increase from 67.1% to 88.0%.
📋 Article Processing Timeline
- 📰 Published: May 19, 2026 at 19:00
- 🔍 Collected: May 19, 2026 at 10:31
- 🤖 AI Analyzed: May 28, 2026 at 16:39 (222h 8m after Collected)
Cab Station Co., Ltd. (Headquarters: Shinjuku-ku, Tokyo; CEO: Yoji Okawa) has released the results of an empirical study quantifying the learning impact of its safety education system, 'Good Learning!', in initial training for bus drivers.
This study aims to present a new industry standard of 'guaranteed quantitative educational effectiveness' for safety education, which has often been criticized as a mere formality.
### Background: Necessity of Quantifying Educational Impact
New bus driver education is mandated by law to include at least 10 hours of classroom lectures. However, for many years, the training has often become a matter of 'spending the hours' rather than ensuring its effectiveness. With the strict labor time regulations of the '2024 Problem,' providing high-quality education within limited time has become a critical management issue for operators.
### Methodology: Pre-Post Test Design
The study adopted the 'Pre-Post Test Design' based on educational technology, consisting of four steps:
1. **Pre-test:** Participants answer 50 questions without preparation to identify gaps in their knowledge.
2. **Self-Evaluation:** Immediate scoring helps clarify focus areas.
3. **e-Learning Training:** 21 units of video lectures covering Ministry of Land, Infrastructure, Transport and Tourism (MLIT) guidelines.
4. **Post-test:** Retaking the same 50-question test to confirm knowledge updates.
### Empirical Study Results (Target: 120 Participants)
1. **Overall Score:** The average correct answer rate rose from 67.1% (Pre-training) to 88.0% (Post-training), an improvement of 20.9 points (131% improvement rate).
2. **Breakdown by Category (Improvement):**
- Professional Awareness & Compliance: 65.5% to 84.3% (+18.8 pts)
- Safe Driving Theory & Hazard Prediction: 67.4% to 88.7% (+21.3 pts)
- Vehicle Characteristics & Advanced Tech: 64.7% to 91.0% (+26.3 pts)
- Health Management & Accident Analysis: 69.3% to 86.4% (+17.1 pts)
- Passenger Response & Crisis Management: (Data ongoing/partial)
All participants showed score increases, proving that this program prevents training from becoming a formality and raises drivers to a high standard of knowledge.
This study aims to present a new industry standard of 'guaranteed quantitative educational effectiveness' for safety education, which has often been criticized as a mere formality.
### Background: Necessity of Quantifying Educational Impact
New bus driver education is mandated by law to include at least 10 hours of classroom lectures. However, for many years, the training has often become a matter of 'spending the hours' rather than ensuring its effectiveness. With the strict labor time regulations of the '2024 Problem,' providing high-quality education within limited time has become a critical management issue for operators.
### Methodology: Pre-Post Test Design
The study adopted the 'Pre-Post Test Design' based on educational technology, consisting of four steps:
1. **Pre-test:** Participants answer 50 questions without preparation to identify gaps in their knowledge.
2. **Self-Evaluation:** Immediate scoring helps clarify focus areas.
3. **e-Learning Training:** 21 units of video lectures covering Ministry of Land, Infrastructure, Transport and Tourism (MLIT) guidelines.
4. **Post-test:** Retaking the same 50-question test to confirm knowledge updates.
### Empirical Study Results (Target: 120 Participants)
1. **Overall Score:** The average correct answer rate rose from 67.1% (Pre-training) to 88.0% (Post-training), an improvement of 20.9 points (131% improvement rate).
2. **Breakdown by Category (Improvement):**
- Professional Awareness & Compliance: 65.5% to 84.3% (+18.8 pts)
- Safe Driving Theory & Hazard Prediction: 67.4% to 88.7% (+21.3 pts)
- Vehicle Characteristics & Advanced Tech: 64.7% to 91.0% (+26.3 pts)
- Health Management & Accident Analysis: 69.3% to 86.4% (+17.1 pts)
- Passenger Response & Crisis Management: (Data ongoing/partial)
All participants showed score increases, proving that this program prevents training from becoming a formality and raises drivers to a high standard of knowledge.
FAQ
「グッドラーニング！」の実証調査で確認された理解度の上昇幅は？
受講前後の比較において、平均正答率が67.1%から88.0%へと20.9ポイント上昇したことが確認されました。
教育効果を測定するためにどのような手法が使われましたか？
教育工学に基づいた「プレ・ポストテスト法（受講前後比較）」を採用し、受講前後の同一テストにより知識のアップデートを可視化しました。
調査の対象となった人数と属性を教えてください。
無作為に抽出されたバス初任運転者の受講者120名を対象としています。
分析対象となった5つの専門カテゴリーとは何ですか？
1.プロドライバーの自覚と法令遵守、2.安全運転の理論と危険予測、3.車両の構造特性と先進技術、4.健康管理と事故の現状分析、5.旅客対応・接遇と危機管理の5分野です。
なぜバス業界において教育の「定量化」が重要視されているのですか？
2024年問題による労働時間の厳格化で教育リソースが限られる中、形式的な「時間の消化」ではなく、実際の有効性を担保する質の高い教育が経営リスク低減に不可欠だからです。