Self Explanation Prompt Stem Bank
Build bounded self explanation question from explicit concept and focus; no main claim answer or causal learning effect. Caller independently verifies learner/context/evidence and reference edition; not causal learning efficacy, disability eligibility or educational certification.
Description
Self-explanation prompts ask a learner to explain a mechanism, connection or contrast.
Self-explanation prompts ask a learner to explain a mechanism, connection or contrast.1
This tool inserts your concept into a chosen question stem while leaving the answer open.
When to use Self Explanation Prompt Stem Bank
Use this tool to calculate or review the supplied observations under the stated rules. Establish the learning task, observed evidence and applicable framework or policy edition.
How to use Self Explanation Prompt Stem Bank and understand its results
- Establish the learning task, observed evidence and applicable framework or policy edition.
- Enter callerConcept, promptFocus, using the field meanings and rules below, then run the tool.
- Read selfExplanationPrompt. Inspect nested result fields where present, and review unknown records separately from known matches.
- Correct any reported input issue and run again. Before using a successful result, check the stated units, signs, reference scope and observation coverage.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| callerConcept | Caller concept | string | Required |
| promptFocus | Prompt focus | string | Required |
Enter a nonblank concept of at most 256 UTF-16 units and select mechanism, connection or contrast. Join the corresponding fixed prefix and suffix around the original concept string; the content is not trimmed or assessed.
prompt=prefix[focus]+concept+suffix[focus] Use the matching field units and the exact boundary, ordering and reference rules above.
| Output field | Meaning | Value type |
|---|---|---|
| selfExplanationPrompt | Self explanation prompt | string |
{
"input": {
"callerConcept": "fraction equivalence",
"promptFocus": "mechanism"
},
"output": {
"selfExplanationPrompt": "How and why does fraction equivalence work in this example?"
}
}Limitations and assumptions
Supplied annotations and framework choices determine the result. The tool does not measure learning effects, assess learner intent or independently establish policy applicability.
Missing required fields, unknown fields, wrong types and violated rules return input issues. Numeric values and outputs must be finite.
Alternative or Complementary methods
For a related step, use Exit Ticket Three Question Template: An exit ticket can ask for an idea, an explained example and an unresolved question. For a complementary comparison, use ELL Sentence Frames Language Scaffold Bank: Sentence frames provide language support for expressing ideas within a specific task and proficiency context.
References
-
Self Explanation Prompt Stem Bank — tool.io
Similar or alternative tools
- Exit Ticket Three Question Template
An exit ticket can ask for an idea, an explained example and an unresolved question.
- ELL Sentence Frames Language Scaffold Bank
Sentence frames provide language support for expressing ideas within a specific task and proficiency context.