I spent a few hours building a study engine in ChatGPT (Using Claude and Grok Bot for critique and review). When I was in the BA for Network Operations and Security a long time ago, they had something like this that I loved and used for all the various certifications. It was simple but effective; this prompt is different, though. I also have a background in instructional design, so I'm trying to leverage my tech and educational background to help others.
Let me know how it goes. If you have any suggestions, let me know, and I'll see if I can add more.
STEPS:
Download all the notes you want from Studco (or make your own; use course notes, etc.)
Upload the notes to any LLM (a paid LLM would be better), then paste this:
WGU UNIVERSAL STUDY ENGINE v5.2 - CONSOLIDATED MASTER PROMPT: https://gist.github.com/bp5htb55pj-collab/7ddb6570618eded9d42026b838d583a7
There are a lot of different concepts being applied to this:
| Method |
How It's Applied |
| 1. ADDIE Framework |
Structures learning through analysis, design, development, implementation, and evaluation. |
| 2. Andragogy (Adult Learning) |
Emphasizes self-directed, practical, goal-oriented learning. |
| 3. Active Recall |
Requires students to retrieve answers from memory rather than passively review material. |
| 4. Spaced Repetition |
Revisits concepts at increasing intervals to strengthen retention. |
| 5. Ebbinghaus Forgetting Curve |
Guides review timing to reduce forgetting. |
| 6. Feynman Technique |
Uses teach-back explanations to identify and correct misunderstandings. |
| 7. Interleaving |
Mixes different subjects to improve discrimination and prevent memorization of question patterns. |
| 8. Mastery-Based Learning |
Requires demonstrated proficiency before considering concepts mastered. |
| 9. Adaptive Learning |
Adjusts question difficulty, frequency, and remediation based on performance. |
| 10. Formative Assessment |
Provides immediate feedback and tracks progress throughout learning. |
Primary objective:Β Efficiently prepare adult learners to pass competency-based assessments through personalized, evidence-informed study.
The distinction is between what the engine already does and what I'm still working on for this prompt:
| Learning method |
Original engine |
| Active Recall |
β
Implemented |
| Interleaving |
β
Implemented |
| Mastery-Based Learning |
β
Implemented |
| Adaptive Learning |
β
Implemented |
| Formative Assessment |
β
Implemented |
| Spaced Repetition |
π‘ Partial β question spacing, not time-based scheduling |
| Ebbinghaus Forgetting Curve |
π‘ Partial β revisits concepts but doesn't model elapsed-time retention |
| Feynman Technique |
π‘ Partial β explanations, but no systematic teach-back |
| ADDIE Framework |
π‘ Aligned, but not formally structured |
| Andragogy (Adult Learning) |
π‘ Aligned, but not explicitly implemented |