WENDIGO: REVOLUTIONIZING QUIZ-BASED LEARNING WITH ARTIFICIAL INTELLIGENCE FOR SOCIAL IMPACT
Abstract
Wendigo is an AI-powered quiz generation platform designed to transform educational assessments by providing personalized, adaptive, and dynamic learning experiences. This application leverages advanced machine learning and natural language processing (NLP) technologies to automate the creation of quizzes from diverse educational content, reducing the workload for educators while enhancing learner engagement. Wendigo generates contextually relevant quizzes tailored to varying educational levels and subjects, offering an accessible tool for both formal education and self-directed learning. Its user-centric design allows for real-time feedback, making it an effective tool for improving knowledge retention and personalized learning pathways. The platform’s core innovation lies in its ability to personalize content through performance-based adaptation. By analyzing learner progress, Wendigo adjusts the complexity and structure of subsequent quizzes, catering to individual learning needs. Additionally, it supports diverse educational contexts, from school-based assessments to corporate training and competitive exam preparation. The system's web-based design ensures accessibility across devices, promoting inclusivity for learners in remote or underserved regions. However, the development of Wendigo also presents certain challenges, including potential biases in AI-generated content, data privacy concerns, and technical limitations in low-resource areas. To maximize its societal impact, future enhancements will focus on expanding the question bank, introducing multilingual support, and integrating with popular learning management systems (LMS) for broader usability. Ethical considerations, such as data security and fairness in AI-generated content, remain central to the platform’s continuous improvement. Wendigo's broader societal relevance extends beyond education by supporting corporate training programs, competitive exam preparation, and community learning initiatives. Its potential to bridge educational gaps and promote equitable access to quality assessments highlights the transformative role of AI in modern education. As technological advancements continue, Wendigo offers a scalable and effective model for leveraging artificial intelligence to enhance global learning outcomes.
Keywords: AI-Powered Learning, Quiz Generation, Educational Technology, Personalized Learning, Adaptive Assessments, Inclusive Education, Corporate Training, Knowledge Retention