CultureVo: The Serious Game of Utilizing Gen AI for Enhancing Cultural Intelligence
Project Overview
The Integrated Culture Learning Suite (ICLS) by CultureVo employs generative AI to enhance cultural intelligence in education through interactive and gamified experiences. By utilizing automated assessments, behavioral pattern analysis, and dynamic content generation, ICLS provides personalized and engaging learning opportunities that cater to individual learner needs. Key components of the suite include a Cultural Treasury for reference, World Wise for assessments, and Culture Scribe for interactive participation, all aimed at fostering a deeper understanding of diverse cultures. The implementation of generative AI in ICLS demonstrates significant potential for improving educational outcomes by creating tailored learning environments that encourage cultural awareness and competence among learners.
Key Applications
Integrated Culture Learning Suite (ICLS)
Context: Gamified learning platform for enhancing cultural intelligence among users interested in exploring world cultures.
Implementation: Utilizes generative AI powered by Large Language Models (LLMs) to automate assessments, analyze user behavior, and deliver personalized content.
Outcomes: Improved cultural intelligence, enhanced engagement through interactive features, and personalized learning experiences.
Challenges: Potential concerns regarding data privacy and the need for high-quality content generation.
Implementation Barriers
Privacy Concerns
Users may have concerns regarding the management and security of their personal data.
Proposed Solutions: Advanced knowledge-augmented retrieval techniques are employed to address privacy issues.
Content Quality
Ensuring the generative AI produces high-quality and relevant educational content can be a challenge.
Proposed Solutions: Implementing robust validation processes for content generation.
Project Team
Ajita Agarwala
Researcher
Anupam Purwar
Researcher
Viswanadhasai Rao
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Ajita Agarwala, Anupam Purwar, Viswanadhasai Rao
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai