Random Elaborative Question Deck Generator
Draw uniform topic/template pairs for independently reviewed elaborative question cards; count, replacement and duplicate semantic possibilities explicit. Does not generate/verify factual answers or promise retention efficacy.
Description
Elaborative question prompts ask a learner to connect a topic with an explanation or relationship.
Elaborative question prompts ask a learner to connect a topic with an explanation or relationship.1
This generator samples combinations of supplied topics and templates; it returns questions rather than factual answers.
When to use Random Elaborative Question Deck Generator
Use this tool when you need to produce the reproducible draw or model experiment described below. Prepare a reproducible seed and the inventory, corpus, or experiment parameters stated below.
How to use Random Elaborative Question Deck Generator and understand its results
- Prepare a reproducible seed and the inventory, corpus, or experiment parameters stated below.
- Enter seed, count, withoutReplacement, topicTexts, questionTemplates, following the field table and calculation rules below, then run the tool.
- Read result. For result objects, inspect the nested output fields below, including any missing evidence or selected indices.
- Correct any input issues and run again. Before using a successful result, review its units, signs, evidence coverage, and stated model or reference assumptions.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| seed | Required nonblank deterministic seed; the SDK can replace the source with context.random. | string | Required |
| count | Number of draws, cards, trials, or output entries under the tool-specific rule; safe integer 1–64 with any narrower inventory bound. | number | Required |
| withoutReplacement | True removes selected inventory positions; false permits repeated positions. Equal rendered values or answers can still occur. | boolean | Required |
| topicTexts | Topic texts | list of string | Required |
| questionTemplates | Question templates | list of string | Required |
Require unique nonblank topicTexts and questionTemplates, with literal {topic} in every template. Form the topic-major Cartesian product, draw pair indices, and replace all {topic} occurrences. Return questions, selectedPairIndices, and unselectedPairCount computed as total pairs minus draw count, which is not a count of distinct never-drawn pairs when replacement permits repeats.2, 3
Use a nonblank seed of at most 256 UTF-16 units and a safe-integer count from 1 to 64, subject to the tool’s narrower inventory bound. By default the seed is hashed into a deterministic pseudorandom state; each run restarts that state, so identical full inputs and implementation reproduce the result. The SDK may provide context.random, which replaces the seeded source and advances across the request; the seed remains required. Every source value must be finite in [0,1), with a request limit of 100000 source calls. Draw an index as floor(U×remainingSize). For indexed inventory draws, with replacement draw from the full inventory each time; without replacement remove each chosen position from an ordered pool and reject counts exceeding the inventory size. Uniform-source draws are over positions, not necessarily distinct values. This is not secure randomness.
pairIndex=topicIndex×templateCount+templateIndex Read these symbols with the field meanings and branch or reference rules above.
| Output field | Meaning | Value type |
|---|---|---|
| result | Composite output; read its nested fields and the worked example. | object |
| result.questions | questions | list |
| result.selectedPairIndices | selected Pair Indices | list |
| result.unselectedPairCount | Total topic/template pairs minus draw count, not a distinct-unused count when replacement permits repeats. | number |
{
"input": {
"seed": "tool.io/batch42",
"count": 1,
"withoutReplacement": true,
"topicTexts": [
"fractions",
"gravity"
],
"questionTemplates": [
"Why does {topic} work this way?",
"How could {topic} relate to another idea?"
]
},
"output": {
"result": {
"questions": [
{
"topic": "gravity",
"question": "How could gravity relate to another idea?"
}
],
"selectedPairIndices": [
3
],
"unselectedPairCount": 3
}
}
}Limitations and assumptions
Templates and topics require independent editorial review. Different pairs can produce equivalent questions, and the tool does not verify facts or demonstrate a retention benefit.
Missing required fields, unknown fields, wrong types, and violated calculation rules return input issues. Numeric values must be finite; nonfinite numeric outputs are rejected. Arrays must be dense, with no missing cells. Ordinary string lists allow at most 128 strings of at most 128 UTF-16 units each. Extremely large composite outputs are rejected.
Alternative or Complementary methods
For a related task, use Random Flashcard Practice Session Generator: Flashcards pair a prompt with a supplied answer for recall practice. This generator samples a session from explicit card records and lets you choose whether positions can repeat, without verifying the answers. For a complementary step, use Random Interleaved Topic Practice Playlist Generator: Interleaved practice alternates topics so adjacent items do not use the same topic label. This generator selects distinct supplied items by first drawing an eligible topic and then a remaining item within that topic.
References
Similar or alternative tools
- Random Flashcard Practice Session Generator
Flashcards pair a prompt with a supplied answer for recall practice. This generator samples a session from explicit card records and lets you choose whether positions can repeat, without verifying the answers.
- Random Interleaved Topic Practice Playlist Generator
Interleaved practice alternates topics so adjacent items do not use the same topic label. This generator selects distinct supplied items by first drawing an eligible topic and then a remaining item within that topic.