From Content Generation to Learning Support: Pedagogy-Guided Generative Video Tutors for STEM Learning

arXiv:2609.24083 · cs.CL, cs.AI, cs.CY · Submitted 2026-09-21 · Read on arXiv

cs.CL, cs.AI, cs.CY

Submitted: 2026-09-21

Updated: 2026-09-21

Comments: accepted to EMNLP 2026, code available at GitHub

Code: https://github.com/ManimCommunity/manim

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Verification — 25× in this paper · explained in 2 episodes
• Consistency — 13× in this paper · explained in 3 episodes
• Scaffolding — 10× in this paper · explained in 3 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Generative AI — 6× in this paper · explained in 2 episodes
• Interpretability — 5× in this paper · explained in 15 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Fidelity — 4× in this paper · explained in 2 episodes
• Active Learning — 3× in this paper · explained in 6 episodes
• Cognitive Load — 3× in this paper · explained in 2 episodes
• Core — 3× in this paper · explained in 2 episodes
• Evaluation Dimensions — 3× in this paper · explained in 3 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Intelligent Tutoring Systems — 2× in this paper
• Robustness — 2× in this paper · explained in 5 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Adaptivity — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• EduIllustrate: Towards Scalable Automated Generation Of Multimodal Educational Content
• Generative AI in Education: From Foundational Insights to the Socratic Playground for Learning
• Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
• GPT-4 Technical Report
• Kling-Omni Technical Report
• A Comprehensive Review of AI-based Intelligent Tutoring Systems: Applications and Challenges
• Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

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