Abstract
Experiential learning is vital in business education, as it enables students to comprehend intricate concepts and cultivate essential skills. BizAssistBot, an innovative tool, utilises artificial intelligence to improve the examination of small businesses for undergraduate students. This AI-driven platform employs natural language processing, machine learning, and data analytics to generate immersive learning experiences via real-world business simulations. Previous studies have explored how chatbots can assist in teaching programming languages, teach other languages and other subjects such as Mathematics, psychology and engineering but BizAssistBot enables students to explore domains including customer sales, economic management, inventory control, and marketing strategies. Students acquire insights into office operations, data-driven decision-making, and the influence of artificial intelligence on modern business practices through its application. The platform's ability to provide immediate feedback and simulate complex business scenarios effectively connects theoretical knowledge with practical application. This study examines the creation and application of BizAssistBot in educational settings and evaluates its instructional efficacy. Through the analysis of student feedback and learning outcomes, we assess the efficacy of BizAssistBot in improving comprehension of business concepts, engagement, and critical thinking abilities. The results indicate that incorporating AI-driven tools such as BizAssistBot into business curricula is advantageous and stimulating, preparing students to address contemporary business challenges.
| Original language | English |
|---|---|
| Article number | 161 |
| Journal | Discover Artificial Intelligence |
| Volume | 6 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Dec 2026 |
| Externally published | Yes |
Keywords
- AI-driven
- BizAssistBot
- Business concepts
- Chatbot
- Education
- Small businesses
- Voiceflow
ASJC Scopus subject areas
- Information Systems
- Human-Computer Interaction
- Computer Vision and Pattern Recognition
- Artificial Intelligence
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