Direct Instruction Choral Response Scripting Lookup

Render bounded explicit direct instruction prompt/signal/response script with observed signal coverage; no correctness or participation inferred from choral reply. Caller independently verifies learner/context/evidence and reference edition; not causal learning efficacy, disability eligibility or educational certification.

Description

A choral-response script separates a teacher prompt, a signal and an expected class response.

A choral-response script separates a teacher prompt, a signal and an expected class response.^[1]

This renderer preserves the supplied script and separately reports missing signal annotations.

When to use Direct Instruction Choral Response Scripting Lookup

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 Direct Instruction Choral Response Scripting Lookup and understand its results

Establish the learning task, observed evidence and applicable framework or policy edition.
Enter callerPromptTexts, callerExpectedResponseTexts, observedSignalBeforeResponseFlags, using the field meanings and rules below, then run the tool.
Read choralScriptLines, missingSignalIndices. 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
callerPromptTexts	Caller prompt texts	list of string	Required
callerExpectedResponseTexts	Caller expected response texts	list of string	Required
observedSignalBeforeResponseFlags	Observed signal before response flags	list of number	Required

Enter nonempty aligned prompt texts, expected response texts and binary signal-present flags. Render every row as Teacher: prompt | Signal | Class: response, including rows whose signal flag is zero. Return zero-based missing-signal indices; the rendered Signal label is not evidence that a signal occurred.

script_i="Teacher: "+prompt_i+" | Signal | Class: "+response_i; missing={i:signal_i=0}

Use the matching field units and the exact boundary, ordering and reference rules above.

Output field	Meaning	Value type
choralScriptLines	Choral script lines	list of string
missingSignalIndices	Missing signal indices; zero-based positions in the relevant supplied record or adjacent-pair list	list of number

json

{
  "input": {
    "callerPromptTexts": [
      "What is two plus two?"
    ],
    "callerExpectedResponseTexts": [
      "Four."
    ],
    "observedSignalBeforeResponseFlags": [
      1
    ]
  },
  "output": {
    "choralScriptLines": [
      "Teacher: What is two plus two? | Signal | Class: Four."
    ],
    "missingSignalIndices": []
  }
}

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. Lists and matrices must be dense, without missing cells. Numeric lists allow at most 10000 entries; ordinary string lists allow at most 128 strings of 128 UTF-16 units each; numeric matrices allow at most 128 rows and 128 columns, subject to narrower requirements above.

Alternative or Complementary methods

For a related step, use Attention Signal Call Response Catalog Lookup: Attention signals pair an agreed cue with an accessible expected response. For a complementary comparison, use No Opt Out Follow Up Sequence Lemov Lookup: No Opt Out follow-up sequences revisit a learning question after an initial unanswered response.

References

Direct Instruction Choral Response Scripting Lookup — tool.io

Similar or alternative tools

Attention Signal Call Response Catalog Lookup
Attention signals pair an agreed cue with an accessible expected response.
No Opt Out Follow Up Sequence Lemov Lookup
No Opt Out follow-up sequences revisit a learning question after an initial unanswered response.