# AI-driven adaptive learning for enhancing business intelligence simulation games

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/ai-driven-adaptive-learning-for-enhancing-business-intelligence-simulation-games/

## Facts

| Field | Value |
| --- | --- |
| Author Names | G. Bharathi,I. Chandra,Durga Prasada Rao Sanagana,Chaitanya Kanth Tummalachervu,Vuda Sreenivasa Rao,S. Neelima |
| Citations | 30 |
| DOI | 10.1016/j.entcom.2024.100699 |
| Fields | Computer Science,Social Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4396495521 |
| Type | article |
| Year | 2024 |

## Paper authors

- [S. Neelima](https://scholariq.org/researchers/s-neelima/)

## Paper primary topic

- [Online Learning and Analytics](https://scholariq.org/topics/online-learning-and-analytics/)

## Paper topics

- [Online Learning and Analytics](https://scholariq.org/topics/online-learning-and-analytics/)
- [Technology-Enhanced Education Studies](https://scholariq.org/topics/technology-enhanced-education-studies/)
- [Organizational and Employee Performance](https://scholariq.org/topics/organizational-and-employee-performance/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.