Prompt engineering is both a learner skill and a system design lever: prompt-coach-agentic-tutor-prompt-engineering, cotal-formative-assessment-scoring-2026, learning-to-prompt-adaptive-tutoring, and prompt-based-programming-lesson show prompts determine LLM output quality — making prompt literacy a core ai-literacy component (llm, educational-content).
Related Pages
- cotal-formative-assessment-scoring-2026 — Iterative refinement boosts grading by 38.9%
📎 11 other pages tagged prompt-engineering
- A review of intervention designs of LLM Integration in Undergraduate Computer Science Education
- Beyond Access: Guided LLM Scaffolding for Independent Learning
- CoTAL: Human-in-the-Loop Prompt Engineering for Generalizable Formative Assessment Scoring and Feedback
- Same AI, different pathways: Unpacking mechanisms of AI-mediated learning across discipline-institution contexts
- Say What? Examining Text and Voice Input Modalities for Prompt-Based Programming in Computing Education
- Scaffolding Critical Engagement with GenAI: Transforming Ethnic Minority Preparatory Students' Collaborative Discourse in Prompt Engineering Tasks
- Slide Deck Q&A Quality Assurance App: A Multi-Stage Pipeline for Pedagogical Question Generation
- Students' multimodal prompting practices as epistemic work in AI literacy development
- The Main Barrier to AI Adoption in the Public Sector is Lack of Training
- Tracing GenAI Literacy: Student-AI Interaction Patterns in Academic Writing
- Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks