From Prompts to Pedagogy: Designing AI-Supported Learning with the Learning Assistant Prompt Generator
1. Introduction: Moving Beyond “Using AI” to Designing Learning
As AI tools become increasingly accessible in classrooms, the real question is no longer whether to use AI, but how to design meaningful learning experiences with it.
The Learning Assistant Prompt Generator (LAPG) was developed to support teachers in doing exactly that — not by replacing pedagogy, but by making good pedagogy easier to enact consistently.
Unlike ad-hoc prompting, this tool provides structured, reusable templates aligned with established educational principles such as:
- Socratic questioning
- Bloom’s taxonomy
- Zone of Proximal Development (ZPD)
👉 Explore the tool here:
https://iwant2study.org/lookangejss/promptLibraryLEA/learning-assistant-prompt-generator.html
2. Understanding the Tool: Why Templates Matter
At its core, the LAPG is not just a prompt builder — it is a pedagogical scaffold disguised as a tool.
It offers 10 structured templates, each designed to support a specific type of thinking or learning process:
- Idea Generator → Divergent thinking
- Socratic Tutor → Guided inquiry
- Paragraph Planner → Structured writing
- Feedback Assistant → Formative feedback
- (and others…)
Why this matters
Most teachers experimenting with AI face two challenges:
- Inconsistent outputs (prompt quality varies widely and output from LEA is difficult to control)
- Cognitive overload (designing good prompts takes effort and deleting options from SLS LEA recipes is painful and laborious)
Templates solve both by:
- Embedding instructional intent
- Ensuring consistency across classes
- Reducing teacher cognitive load
This shifts AI use from trial-and-error → to intentional instructional design.
3. The Process: From Idea to Classroom Deployment
The workflow is intentionally simple but powerful:
Step 1: Load a Sample Prompt
Start with a proven structure aligned to a learning goal.
Step 2: Customise
Adapt:
- Content (topic, text, task)
- Difficulty level
- Student profile
Step 3: Generate
The tool produces a refined prompt ready for use in:
- SLS Learning Assistant (LEA)
- External AI tools
Step 4: Deploy
Use it in:
- Classroom activities
- Homework tasks
- Self-directed learning
Why this workflow works
It mirrors good teaching practice:
- Plan → Adapt → Execute → Reflect
But crucially, it lowers the barrier to high-quality prompts that works with LEA and ease that AI integration versus self made prompts.
4. Pedagogical Strengths: LAPG vs SLS Native Tools
Rather than positioning tools as competitors, it is more productive to see them as complimentary pedagogical roles. Once we have a clear idea of what works we can actually suggest to SLs to add this into proper recipes.
| Dimension | SLS Native Components | Prompt Generator (LAPG) |
|---|---|---|
| Structure | Fixed, predefined | Flexible, adaptive |
| Data capture | Strong (DAT integration) | Limited Strong (DAT integration) same LEA |
| Feedback type | Dynamic, AI-generated | Dynamic, AI-generated |
| Pedagogical control | High teacher control | High teacher control with initial tool assembled best OpenAI practices prompts |
| Learning mode | Divergent + exploratory | Divergent + exploratory |
| Best use | Inquiry, drafting, metacognition | Inquiry, drafting, metacognition |
Key Insight
- SLS components excel in precision and accountability
- LAPG excels in crafting those thinking and exploration. infact this was suggested to me to be built by teachers who felt that they could not control LEA properly and teachers needed scaffold to instruct LEA.
👉 The ideal situation is the most powerful classrooms use this tool to build the instructions and use SLS LEA together. Whatever innovation and findings we know and discover, we can later on suggest to SLS to incorporate them as formal recipes.
5. Pedagogical Strengths of Each Template
Each template is not just a feature — it encodes a learning strategy.
Socratic Tutor
- Encourages guided discovery
- Avoids direct answers → builds reasoning
- Supports conceptual change
Idea Generator
- Promotes divergent thinking
- Useful for brainstorming and creativity tasks
Paragraph Planner
- Scaffolds structured writing
- Bridges thinking → expression
Feedback Assistant
- Provides immediate formative feedback
- Supports iterative improvement
Meta-point
These templates help shift classrooms from:
- “Tell me the answer”
→ to - “Help me think better”
6. Implementation Scenarios
Scenario 1: Chemistry (Conceptual Understanding)
- Use Socratic Tutor to guide students through misconceptions
- Follow up with SLS MCQ for validation
Outcome: Conceptual change + measurable understanding
Scenario 2: Writing (Argumentative Essay)
- Use Idea Generator → brainstorm
- Use Paragraph Planner → structure
- Use SLS rubric → assess
Outcome: Process-driven writing + clear assessment
Scenario 3: History (Source Analysis)
- Use Socratic Tutor → interrogate sources
- Use SLS structured response → capture answers
Outcome: Deeper thinking + trackable responses
7. Key Takeaways: Choosing the Right Tool
We are still Using SLS Native LEA:
- Assessment reliability
- Data tracking
- Standardised responses
Use LAPG when you need better LEA prompts:
- Thinking scaffolds
- Exploration
- Personalised support
8. Design Philosophy & Future Directions
The tool is built on a simple belief:
AI should amplify teacher expertise, not replace it. Perhaps the LEA recipe did not quite do it correctly which is why we need to quickly iteratebthe tool and do this research rapidly in weeks.
Core principles:
- Pedagogy first, technology second
- Structured flexibility
- Teacher control in SLS with this tools augmentation to write better instructions to guide the LEA.
Future directions:
- Better integration with SLS (e.g., formally injected as interative prompts in the recipes, better than those design at the beginning of the conception of LEA)
- Smarter adaptive and battle test prompts
- Wider template library aligned to curriculum
9. Conclusion: From Tool to Teaching Partner
The Learning Assistant Prompt Generator represents a shift:
From:
- Using AI as a tool
To:
- Designing AI as a teaching partner
When combined thoughtfully with SLS:
- Teachers retain control as per SLS guardrails in system prompts
- Students gain deeper thinking opportunities through our teacher battle tested prompts
- Learning becomes both measurable and meaningful
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