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Beyond Simple Input-Output Assessment Tasks: Leveraging Automated Programming Assessment for Non-Trivial Courses

arXiv cs.AI ↗ · 2026-09-25 Cached

The paper proposes framing machine learning problems as input-output tasks to leverage automated programming assessment tools for AI education, enhancing the integration of theory and practice without innovating AI itself.

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Leveraging Generative AI to Design Accessible Interactive Visualizations for Undergraduate Mathematics: A Six-Phase Workflow

arXiv cs.AI ↗ · 2026-09-01 Cached

This paper develops and evaluates a six-phase workflow using generative AI to create accessible interactive visualizations for undergraduate mathematics without programming, achieving WCAG 2.2 Level AA compliance across multiple tools.

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Interpretable, Fairly Evaluated Automated L2 Speaking Assessment that Beats the Single-Human Ceiling and Why Pause Encoding Does Not Change LLM Fluency Scores

arXiv cs.CL ↗ · 2026-08-28 Cached

This paper presents an interpretable feature-LLM hybrid system for automated L2 English speaking assessment that outperforms individual human raters and shows that pause encoding does not significantly impact LLM fluency scores.

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From SQL Errors to Concept Gaps: An AI-Powered Knowledge Graph Analytics Platform for Personalized Feedback

arXiv cs.CL ↗ · 2026-08-05 Cached

This IEEE paper presents an AI-powered knowledge graph platform that connects SQL errors to conceptual gaps in database courses, automatically extracting course concepts and linking them to student submissions to provide personalized diagnostic feedback.

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Error as a Lens: Probing LLM Reasoning through Synthetic Misconception Generation

arXiv cs.CL ↗ · 2026-05-29 Cached

This paper presents a framework using LLMs to generate targeted synthetic misconceptions aligned to a five-class taxonomy adapted from Bloom's taxonomy, addressing the scarcity of labeled student error data in education research.

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Slide Deck Q&A Quality Assurance App: A Multi-Stage Pipeline for Pedagogical Question Generation

arXiv cs.CL ↗ · 2026-05-27 Cached

This paper introduces slidesqaqa, a Flask-based software system that generates pedagogically useful questions from PDF slide decks. It uses a four-stage LLM pipeline to extract text and images, plan questions across the deck, annotate slides, and reconcile outputs, demonstrating high-fidelity question generation on technical lecture slides.

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Prober.ai: Gated Inquiry-Based Feedback via LLM-Constrained Personas for Argumentative Writing Development

arXiv cs.AI ↗ · 2026-05-08 Cached

The article introduces Prober.ai, a web-based writing environment that uses LLM-constrained personas to provide inquiry-based feedback for argumentative writing, aiming to prevent cognitive outsourcing. Developed as a hackathon prototype, the system gates revision suggestions behind student reflection to preserve critical thinking skills.

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LaTA: A Drop-in, FERPA-Compliant Local-LLM Autograder for Upper-Division STEM Coursework

arXiv cs.AI ↗ · 2026-05-08 Cached

The paper introduces LaTA, an open-source, FERPA-compliant local LLM autograder for upper-division STEM courses that runs on-premises hardware. It reports successful deployment at Oregon State University with improved student performance and high grading accuracy.

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THU-MAIC/OpenMAIC

GitHub Trending (daily) ↗ · 2026-08-29 Cached

OpenMAIC v1.0.0 is a multi-agent tool that generates educational courses from a single prompt, featuring a Pro workbench for steering and integrating with various AI providers.

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