Process Versus Person Praise Growth Mindset Phrasing Lookup

Independently annotated process/person praise features may overlap, not automatic NLP psychological intent ion or causal growth mindset effect. Caller independently verifies learner/context/evidence and reference edition; not causal learning efficacy, disability eligibility or educational certification.

Description

Process praise and person or trait praise describe different features of feedback language.

Process praise and person or trait praise describe different features of feedback language.^[1]

Independently annotated features can overlap, so this tool reports both sets rather than forcing one label.

When to use Process Versus Person Praise Growth Mindset Phrasing 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 Process Versus Person Praise Growth Mindset Phrasing Lookup and understand its results

Establish the learning task, observed evidence and applicable framework or policy edition.
Enter callerObservedPraiseIds, independentlyAnnotatedStrategyProcessFlags, independentlyAnnotatedFixedPersonTraitFlags, using the field meanings and rules below, then run the tool.
Read processPraiseIds, personTraitReviewIds. 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
callerObservedPraiseIds	Caller observed praise ids	list of string	Required
independentlyAnnotatedStrategyProcessFlags	Independently annotated strategy process flags	list of number	Required
independentlyAnnotatedFixedPersonTraitFlags	Independently annotated fixed person trait flags	list of number	Required

Supply unique nonblank praise IDs and aligned binary process-focused and trait-focused flags. Independently filter IDs with each flag equal to one; the same ID can appear in both returned sets. No language analysis occurs.

processIDs={id_i:process_i=1}; traitIDs={id_i:trait_i=1}

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

Output field	Meaning	Value type
processPraiseIds	Process praise ids	list of string
personTraitReviewIds	Person trait review ids	list of string

json

{
  "input": {
    "callerObservedPraiseIds": [
      "a",
      "b"
    ],
    "independentlyAnnotatedStrategyProcessFlags": [
      1,
      0
    ],
    "independentlyAnnotatedFixedPersonTraitFlags": [
      0,
      1
    ]
  },
  "output": {
    "processPraiseIds": [
      "a"
    ],
    "personTraitReviewIds": [
      "b"
    ]
  }
}

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 Grades Only Comment Suppression Butler Studies Verdict Lookup: A study result about grades and comments depends on its population, task, comparison and measured outcome. For a complementary comparison, use Audio Video Feedback Rich Media Efficiency Lookup: Written and audio or video feedback production can be compared using matched assignment records.

References

Process Versus Person Praise Growth Mindset Phrasing Lookup — tool.io

Similar or alternative tools

Grades Only Comment Suppression Butler Studies Verdict Lookup
A study result about grades and comments depends on its population, task, comparison and measured outcome.
Audio Video Feedback Rich Media Efficiency Lookup
Written and audio or video feedback production can be compared using matched assignment records.