AnveshanaAI用自动生成题库+游戏化设计，让AI学习更互动高效。
AnveshanaAI: A Multimodal Platform for Adaptive AI/ML Education through Automated Question Generation and Interactive Assessment
- 基于布卢姆分类法生成题目，确保学习路径科学递进。
- 实测显示学习者参与度显著提升，微调后困惑度稳定下降。
- 适合想系统学AI的初学者，也支持进阶者实战演练。
我们提出AnveshanaAI，一个面向人工智能的应用型学习平台。用户可通过个性化仪表盘查看学习记录、等级、徽章与跨领域导航，涵盖数据科学、机器学习、深度学习、Transformer、生成式AI、大语言模型及多模态AI等方向，未来可扩展。平台融合积分与成就机制，增强学习参与感，并支持沙盒、挑战、模拟器、仪表盘与社区五大模式，促进探索与协作。区别于传统静态题库，AnveshanaAI采用基于布卢姆分类法的数据集，结合语义相似性检测与可解释AI技术，提升评估透明度与可靠性，实现自适应、自动化、领域感知的评估。实验表明，该平台覆盖广泛知识领域，微调过程稳定且困惑度降低，学习者参与度明显提高。这些特性共同体现AnveshanaAI在自适应、游戏化、交互性与可解释性方面的集成优势，助力下一代AI教育发展。
原文摘要 · Abstract (English)
We propose AnveshanaAI, an application-based learning platform for artificial intelligence. With AnveshanaAI, learners are presented with a personalized dashboard featuring streaks, levels, badges, and structured navigation across domains such as data science, machine learning, deep learning, transformers, generative AI, large language models, and multimodal AI, with scope to include more in the future. The platform incorporates gamified tracking with points and achievements to enhance engagement and learning, while switching between Playground, Challenges, Simulator, Dashboard, and Community supports exploration and collaboration. Unlike static question repositories used in existing platforms, AnveshanaAI ensures balanced learning progression through a dataset grounded in Bloom's taxonomy, with semantic similarity checks and explainable AI techniques improving transparency and reliability. Adaptive, automated, and domain-aware assessment methods are also employed. Experiments demonstrate broad dataset coverage, stable fine-tuning with reduced perplexity, and measurable gains in learner engagement. Together, these features illustrate how AnveshanaAI integrates adaptivity, gamification, interactivity, and explainability to support next-generation AI education.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。