Students rate LLM-generated simplified instructions positively, averaging 7.83 on a 1-10 usefulness scale across 42 ratings in a live cybersecurity course¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Undergraduate and graduate students in a university cybersecurity course rated the perceived usefulness of OCR-based LLM-assisted instructions at an average of 7.83 across 42 submissions on a 1-10 scale. → Patel 2025

Evidence¶

Patel 2025¶

Patel, K., Lin, Y.-Z., Raul, G., Shih, B. P.-J., Redondo, M. W., Latibari, B. S., Pacheco, J., Salehi, S., & Satam, P. (2025). Integrating Generative AI into Cybersecurity Education: A Study of OCR and Multimodal LLM-assisted Instruction. arXiv. https://arxiv.org/abs/2509.02998 doi:10.48550/arxiv.2509.02998

q2 · i? · design · r2

Live deployment of the OCR-to-LLM instructional assistant in a university cybersecurity course; 42 feedback ratings were collected from undergraduate and graduate students on a 1-10 scale. The article reports the average rating was "7.83, indicating a generally positive reception"; no effect size or comparison test is printed.

"The average rating across all submissions was 7.83, indicating a generally positive reception of the generative AI agent's simplified instructions."

Discussion¶

Related Claims¶

• Multimodal LLMs outperform the OCR-based pipeline on visually dense slides, while the OCR pipeline produces comparable instruction on text-centric slides — related
• The text-based LLM compensates for noisy OCR input, generating contextually accurate explanations even when OCR produces jumbled text from UI screenshots — related
• The OCR-based text input uses far fewer tokens than image-based multimodal input for the same slide, making it more cost-effective — related
• Students rated ChatGPT highly for completing activities more quickly, among the highest-scoring survey items in both courses — related
• Undergraduate learners rated CyberAGENTS positively, with scenario authenticity highest and challenge difficulty alignment lowest — related