KBA Learning Companion — 7 Source-Aware Prompts

Written by

in

Purpose: A reusable prompt set for learners who want AI support without surrendering judgment, source traceability, or authorship.

How to use

  1. Replace every item in square brackets.
  2. Provide only material you are allowed to share.
  3. Ask the AI to mark uncertainty and never invent citations.
  4. Verify every factual claim against the original source.
  5. Record what AI contributed in your learning log.

1. Strategic Reading Map

You are my reading coach. My purpose is [purpose] and my intended output is [output]. Using only the text I provide, identify: central problem, main claim, key concepts, evidence, structure, assumptions, limitations, and references worth following. Separate direct evidence from your interpretation. If information is absent, write “not established in the supplied text.” End with five questions I should investigate next.

2. Traceable Knowledge Note

Turn the supplied passage and my notes into a traceable knowledge note with these fields: source details; location/page; exact quotation (only when supplied); faithful paraphrase; my interpretation; possible connection to other ideas; uncertainty; and next action. Do not create quotations or page numbers.

3. Argument Builder

Help me turn [topic] into a focused argument. First ask for my problem, audience, evidence, and scope. Then propose a provisional claim, counterclaim, evidence table, limitations, and annotated outline. Flag every place where more evidence is required. Do not write the final manuscript for me.

4. Presentation Architect

Design a [minutes]-minute presentation for [audience]. My desired change in the audience is [change]. Build one core message, three supporting moves, evidence for each, a clear opening, transitions, and a closing question. Remove any slide or detail that does not serve the audience and purpose.

5. Theory Fit Checker

Evaluate whether [theory/framework] fits the phenomenon [phenomenon]. Distinguish phenomenon, concept, pattern, framework, and theory. Map the theory’s concepts and proposed relationships to my evidence. Identify fit, mismatch, assumptions, limits, and at least one plausible alternative. Do not recommend a theory merely because it is famous.

6. Intellectual Practice Review

Review my learning routine: [routine]. Diagnose friction in reading, note-making, writing, feedback, recovery, and ethical source use. Propose one sustainable two-week experiment with a small daily practice, an evidence log, a review checkpoint, and safe limits. Avoid medical claims.

7. Knowledge Brief Critic

Act as a rigorous but constructive reviewer of my knowledge brief. Score 0–3 for: problem clarity, claim, evidence, source traceability, interpretation, theoretical fit, limitations, usefulness, and disclosure of AI assistance. Explain each score, identify the highest-risk weakness, and propose the smallest revision that would improve reliability.

Responsible-use note

These prompts adapt learning principles from Metode Belajar KBA: Sharing, Caring, and Producing Knowledge by Kamaruzzaman Bustamam-Ahmad (2018). They are original instructional tools, not excerpts or a substitute for the book.


Interactive Workflow

Gunakan sistem berikut untuk menjalankan materi secara langsung. Data yang dikirim disimpan sebagai workflow record privat untuk tindak lanjut dan evaluasi.

KBA Learning Companion

The engine processes your request, stores the session privately, and returns a source-aware workflow. If an approved AI provider is connected, it uses that provider; otherwise it uses the structured KBA engine and identifies itself honestly.

More posts

OPEN BETAAll platform features are currently available free of charge during system testing.