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education

111 items

ARTICLEDEV.to AI·4/13/2026

🤖 How a Virtual AI Professor Is Changing the Way Romania Learns

In Romania, Cursuri-AI.ro has introduced an AI virtual professor delivering university-grade courses entirely in Romanian, ensuring content remains current with 2025–2026 frameworks. This innovative platform overcomes traditional e-learning limitations by providing consistent depth across 29 courses and making complex subjects accessible to non-technical learners.

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RESEARCHarXiv CS.AI·5/1/2026

Unpacking Vibe Coding: Help-Seeking Processes in Student-AI Interactions While Programming

This research explores "vibe coding," a method where students use generative AI for programming through natural language. It found that high-performing students use AI for inquiry and exploration, while low performers delegate tasks for ready-made solutions, indicating AI currently mirrors student intent rather than optimizing for learning.

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ARTICLEDEV.to AI·4/27/2026

Building Smart Student Engagement Detector: An AI-Powered Early Learning Issue Detection System using ML, NLP & Multimodal Analytics

This project describes an AI-powered student engagement detection system that uses ML, NLP, and multimodal analytics to identify early signs of learning difficulties. The goal is to intervene before academic, attendance, or behavioral issues escalate and reflect in grades.

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ARTICLEDEV.to AI·5/1/2026

AI made learning fun again

The author explains how generative AI transformed their learning experience, making it enjoyable again by removing friction points like excessive tabs and context switching. AI helped overcome the tedious aspects of learning new development skills, allowing the author to persist longer and reach the useful parts without feeling stuck.

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RESEARCHarXiv CS.CL·4/30/2026

Generative AI-Based Virtual Assistant using Retrieval-Augmented Generation: An evaluation study for bachelor projects

This paper evaluates a Generative AI-based virtual assistant utilizing Retrieval-Augmented Generation (RAG) to support Maastricht University students with project regulations. The system aims to address challenges like hallucinations and provide accurate, context-specific responses by integrating domain-specific knowledge.

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RESEARCHarXiv CS.AI·4/23/2026

AI to Learn 2.0: A Deliverable-Oriented Governance Framework and Maturity Rubric for Opaque AI in Learning-Intensive Domains

This paper introduces AI to Learn 2.0, a deliverable-oriented governance framework to address the proxy failure of AI-assisted outputs in learning-intensive domains. It provides a structured approach with a five-part package, a maturity rubric, and a capability-evidence ladder to ensure human understanding and judgment are still cultivated and certified.

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